Page |0 Mathematics at your fingertips. Tons of worksheets and videos at sirhunte.teachable.com. Page |1 DIFFERENTIATION DIFFERENTIATION.............................................................. ............................................................................................ ............................................................. .............................................................. ...................................... ....... 4 IMPLICIT DIFFERENTIATION DIFFERENTIATION ............................................................. ............................................................................................ ............................................................. ........................................... ............. 5 PARAMETRIC PARAMETRIC DIFFERENTIATION DIFFERENTIATION ......................................................... ........................................................................................ .............................................................. ...................................... ....... 7 TRIGONOMETRIC TRIGONOMETRIC DIFFERENTIATION DIFFERENTIATION ............................................................ .......................................................................................... .......................................................... ............................ 9 DIFFERENTIATION DIFFERENTIATION OF INVERSE TRIGONOMETRIC TRIGONOMETRIC FUNCTIONS FUNCTIONS ....................................... ................................................................ ......................... 10 DIFFERENTIATION DIFFERENTIATION OF EXPONENTIAL EXPONENTIAL FUNCTIONS FUNCTIONS .......................................................... ......................................................................................... ...............................11 DIFFERENTIATION DIFFERENTIATION OF NATURAL LOGARITHMS LOGARITHMS ........................................................... .......................................................................................... .................................... ..... 13 PARTIAL DERIVATIVES DERIVATIVES .......................................................... ......................................................................................... ............................................................. ........................................................ ..........................15 First Partial Derivative ............................................................ ........................................................................................... ............................................................. ................................................... ..................... 15 Second PARTIAL DERIVATIVE DERIVATIVE ............................................................ ........................................................................................... .............................................................. .................................... .....16 INTEGRATION INTEGRATION RESULTS.................................................................... .................................................................................................. ............................................................. .............................................. ............... 17 Even powers of Odd powers on Even powers of and ............................................................ ........................................................................................... .............................................................. .................................... ..... 19 and ............................................................ ........................................................................................... .............................................................. .................................... ..... 20 ........................................................... .......................................................................................... ............................................................. ........................................................ ..........................21 INTEGRATION INTEGRATION BY PARTS....................................................................... ..................................................................................................... ............................................................. ......................................... ..........22 Reduction Formulae ............................................................ ........................................................................................... ............................................................. ........................................................ ..........................25 PARTIAL FRACTIONS FRACTIONS.......................................................... ......................................................................................... ............................................................. ............................................................. ...............................28 Denominator with Linear Factors ....................................... ...................................................................... .............................................................. ................................................... .................... 28 Denominator with unfactorizable quadratic factor............................................................. ...................................................................................... ..........................29 Denominator with a repeated factor ........................................................... ......................................................................................... ........................................................ ..........................30 Improper Fractions Fractions (degree of numerator ≥ degree of denominator)................................. denominator)................................................ ............... 31 TRAPEZIUM RULE (NUMERICAL INTEGRATION)................. INTEGRATION)................................................ .............................................................. .............................................. ............... 33 COMPLEX NUMBERS........................................................... .......................................................................................... ............................................................. ............................................................. ...............................34 SQUARE ROOT OF NEGATIVE NUMBERS ................................................................................ .......................................................................................................... ..........................34 Operations on Complex Numbers ...................................................... ..................................................................................... .............................................................. .................................... ..... 34 Adding and Subtracting Complex Numbers.............................. .......................................................................................... 34 Multiplying Complex Numbers ................................................................................................................................................. 34 34 Dividing C omplex Numb ers ....................................................................................................................................................... 34 Square Roots of Complex Numbers ..................................... ................................................................... ............................................................. ................................................... .................... 35 Quadratic Equations ............................................................ ........................................................................................... ............................................................. ........................................................ ..........................35 Equations with Real Coefficients .................................................................................................................................. ...........35 Equations with Complex Coeffic ients .................................................................................................................................... 35 Page |2 Roots of Equations...................................... ...................................................................... .............................................................. ............................................................. ................................................... ....................36 Argand Diagram...................................... Diagram..................................................................... .............................................................. .............................................................. ........................................................ .........................37 – – De Moivre’s Theorem Representing Sums and Differences on Argand Diagrams .......................... ................................................................ 37 Modulus Argument Form .................................................................... .................................................................................................. ............................................................. .................................... ..... 37 The Modulus of a Complex Number N umber ....................................................................................................................................... 37 The Argument Ar gument of Complex Number N umber ........................................................................................................................................ 38 Modulus Argument Form ...................................................................................................................... .................................. 39 .......................................................... ......................................................................................... ............................................................. ........................................................ ..........................41 Multiples of Sine and a nd Cosine ...................................................................................................................................................... 43 The Exponential Exponential Form of a Complex Number ............................................... ............................................................................. ................................................... ..................... 43 Locus on the Argand diagram ................................ .............................................................. ............................................................. ............................................................. .................................... ...... 44 SEQUENCES............................................................. ............................................................................................ .............................................................. ............................................................. ................................................... ..................... 49 SEQUENCES.............................................................. ............................................................................................ ............................................................. ............................................................. .............................................. ................ 50 Types of Sequences ......................................................................... ....................................................................................................... ............................................................. .............................................. ............... 51 Convergent Sequences S equences ...................................................................................................................................................... ...........51 Divergent Sequences ..................................................................................................................................................................... 51 Convergence of a Sequence ....................................................................................... ..................................................................................................................... .............................................. ................ 52 Recurrence Relations .......................................................... ......................................................................................... ............................................................. ........................................................ ..........................52 SERIES ............................................................ ............................................................................................ ............................................................... ............................................................. ............................................................. ...............................54 SERIES ............................................................ ............................................................................................ ............................................................... ............................................................. ........................................................ ..........................55 Using Sigma Notation.......................................................................... ........................................................................................................ ............................................................. ......................................... ..........55 Sum of a Series .................................................................. ................................................................................................. ............................................................. ............................................................. ...............................55 Mathematical Induction .......................................................... ......................................................................................... ............................................................. ................................................... .....................56 Method of Differences .................................................... ................................................................................... ............................................................. ............................................................. ............................... 57 ARITHMETIC ARITHMETIC PROGRESSIONS PROGRESSIONS............................................................. ............................................................................................ .............................................................. .................................... ..... 58 GEOMETRIC PROGRESSIONS PROGRESSIONS.................................................................................... .................................................................................................................. .............................................. ................ 60 MACLAURIN’S SERIES PASCAL’S TRIANGLE ............................................................. ............................................................................................ ............................................................. ........................................................ ..........................63 TAYLOR SERIES ........................................................... ......................................................................................... ............................................................. .............................................................. .................................... ..... 66 BINOMIAL THEOREM.............................................................. ............................................................................................ ............................................................. .............................................................. ...............................68 ........................................................... .......................................................................................... ............................................................. ............................................................. ...............................69 FACTORIALS ............................................................ .......................................................................................... ............................................................. ............................................................. .............................................. ................ 69 THE BINOMIAL THEOREM ......................................................................... ....................................................................................................... ............................................................. .................................... ..... 71 Extension of the Binomial Expansion ................................. ............................................................... ............................................................ ................................................... ..................... 72 ROOTS OF EQUATIONS EQUATIONS ........................................................... .......................................................................................... ............................................................. ............................................................. ...............................76 Page |3 THE INTERMEDIATE INTERMEDIATE VALUE THEOREM ............................................................. ........................................................................................... ................................................... ..................... 77 DETERMINING DETERMINING THE ROOTS OF AN EQUATION EQUATION .................................................................... ................................................................................................... ...............................78 BISECTION METHOD................................................................................ .............................................................................................................. ............................................................. .................................... ..... 78 LINEAR INTERPOLATION INTERPOLATION ........................................................... .......................................................................................... ............................................................. .............................................. ................78 NEWTON RAPHSON................................................................... ................................................................................................. ............................................................ ................................................... ..................... 79 DERIVING AN ITERATIVE ITERATIVE FORMULA ................................................ .............................................................................. ............................................................. .................................... ..... 80 MATRICES........................................................... .......................................................................................... .............................................................. ............................................................. ........................................................ ..........................81 MATRICES........................................................... .......................................................................................... .............................................................. ............................................................. ................................................... ..................... 82 Matrix Multiplication................................................................. ............................................................................................... ............................................................ ................................................... .....................82 THE DETERMINANT OF A × MATRIX ........................................................... ......................................................................................... .............................................. ................ 83 The Transpose of a Matrix........................................................... .......................................................................................... ............................................................. .............................................. ................ 84 Finding the inverse of A Matrix (Cofactor Method) ............................................................................ ...................................................................................... .......... 85 SYSTEMS OF EQUATIONS EQUATIONS............................................................ ........................................................................................... ............................................................. .............................................. ................86 ROW REDUCTION REDUCTION ............................................................ ........................................................................................... ............................................................. ............................................................. ...............................87 Row Reduction and Systems of Equations .......................................................................................................................... 87 DIFFERENTIAL EQUATIONS EQUATIONS........................................................... .......................................................................................... ............................................................. ................................................... ..................... 90 DIFFERENTIAL DIFFERENTIAL EQUATIONS EQUATIONS ........................................................... .......................................................................................... ............................................................. .............................................. ................ 91 Separable Differential Equations.................................... Equations................................................................... .............................................................. ........................................................ .........................91 The Integrating Integrating Factor.................................................................................. ................................................................................................................ ............................................................. ...............................92 Linear Differential Equations with Constant Coefficients........................................................... ........................................................................... ................ 93 – Homogenous Differential Equations ...................................................................................................................................... 93 Non Homogeneous Differential Equations ...................................................................................................................... 94 Differential Equations Requiring a Substitution......................................................... ........................................................................................ .................................... ..... 98 Mathematical Modelling.......................................................... ......................................................................................... ............................................................. ................................................ .................. 101 DIFFERENTIATION Page |4 At the end of this section students should be able to: ln – ,, 1. find the derivative of , where is a differentiable function of ; 2. find the derivative of (to include functions of polynomials or trigonometric); trigonometric); 3. apply the chain rule to obtain gradients and equations of tangents and normals to curves given by their parametric equations; 4. use the concept of implicit differentiation, with the assumption that one of the variables is a function of the other; 5. differentiate differentiate any combinations of polynomials, trigonometric, trigonometric, exponential and logarithmic functions; 6. differentiate differentiate inverse trigonometric functions 7. obtain second derivatives, , of the functions in 3, 4, 5 above; . 8. find the first and second partial derivatives of Page |5 IMPLICIT DIFFERENTIATION 0 5 A function which is written in the form is called an explicit function: is stated explicitly in terms of . However, functions such as or are implicit LESSON 4 functions. LESSON 1 Differentiate 2 SOLUTION LESSON 2 determine SOLUTION SOLUTION Determine 3 3 5 22 3 3 0 333322 SOLUTION 3 3 5 6 6 6 2 3 66 2 3 2 2 62 0 2 2 2 6 2 2 262 26 2 6 2 2 62 6 2 2 663602 2 3 31,13, 3 1 1 0 1 2611262 32 1 LESSON 5 Find the equations of the tangents at the points where Use implicit differentiation to 1 for Determine for with respect to . . SOLUTION . 1 1 2 2 0 2 22 2 5 5 0 5 5 0 4 1110 10 0 1 4 LESSON 3 410 1 1 When for . Gradient at (6, Equation of line: Using (6, ) ) on the curve . Page |6 1 32 6 103 2 10 66232262 32 3 32 6 12 3 2 12 22 6 22 6 2 2 2 2 0 2 1212 2 2 2 1 1 0 2221 0 2 2 0 6 2 22 60 6 6 0 33,33, 2 2 2 0 3,3,3,333,2 2,2, 2 22 2 2221 1122 222 Gradient at (6, 3) Equation of line Using (6, 3) LESSON 6 Find and classify the stationary points on the curve . SOLUTION Stationary points occur when Sub. into and . We have already stated that 2 222220 1 2 3,3,2331 1 2 1 1 2332 1 25 → Maximum 2,2, 2 2 222 1 1 5 → Minimum For For 0 and Page |7 × 5 3 2 5 12 2 2 3 × 22 3 31 22 3 3 2 22 3 3 1 44 1 1 √2 7 7 1 4 11 4 122 7 27 2 √ 221 7 2 2 7 7−−2 22 7 7 PARAMETRIC DIFFERENTIATION Given that a parameter, then and where is called LESSON 1 Find the gradient of the stated curve at the point defined. ; where SOLUTION when LESSON 2 Find the gradient of the stated curve at the point defined. ; SOLUTION when ÷ 122 272− 2 266 1√2 7 1 26261 112 1 7 7 2 301 , 2211 8 8−− 24 24 24 1 1 4×× 24 6 1 88 18 2 2221211 1 7 when LESSON 3 to the curve Find the equation of the normal at the point where the curve crosses the line SOLUTION when when (1, 7) . Page |8 6 2 At (1, 7): 6 16 3 7 31 10916 16 163 10916 44 1 1 5 5 444 1 1 355 3× 4 32 332 × 14 8 3 1 1 6 6 3 36 1 1 6 6 3 Gradient of normal is LESSON 4 Find and for the parametric equations and SOLUTION LESSON 5 Find and for the parametric equations and . Hence find and classify the stationary point(s). SOLUTION 2 6 × 23636 11333 3 33 3 33399× 1 1 6 9 6 0 33 3 0 3 3 0 333366131 3 32626 1212 26,26,1212 613 1621 Stationary points occur when Minimum point Page |9 TRIGONOMETRIC DIFFERENTIATION sec 22 33 sec tan sec s ec 22 3 tan se c ′cos cos sec s ec os 2 3 t a n sec si n sseinc t a n ≡ 2 1 s e c csccot cscsect cotacotn 11 tan sec secccsc tann sec 1 sec 2sec 2secsect sectann 2se 2 sec c 2sec 2 sec tan tan csc 1tan 2se 2 sec c 1t s e c 1 t a n cotcosec4t 5 21tan 1tan 1 tan 1tan 3cs+ 3+csc−−12 12 2 tan 1 tan n 22 tan tan1 tann 22 1 sec4 4sec4t 4sec4 tan4 an4 cot5csc5 5 3cs33csc6612 12 csc12 cot12 1 2 1 2 18 csc12 1 2 cot12 1 2 −− 4 +112csc 2csc4 −2 csc 2csc4 − − 4 4csc 4 csc 4 4 cot 4 4 2csc4 4 4 cot44 4 4csc2csc (e) LESSON 2 SOLUTION LESSON 1 (a) (b) (c) (d) (e) SOLUTION (a) (b) (c) (d) Differentiate the following w.r.t Recall: Given that , show that P a g e | 10 DIFFERENTIATION OF INVERSE TRIGONOMETRIC FUNCTIONS LESSON 1 PROOF Let then Differentiate sin− . sisinsin−, – < < sisin 1 cos cos1 cos sisi n 1 coscos11si sinn 1 √1 1 sin− √1 1 − cos coscoscos,− , 0 ≤ ≤ cos cos si n 1 1 cossinsisi n 1 ssiinn11cos cos 1 coscos− √1 1 − t a n tantan−, < < tann sec 1 1 sescec 1 tan 11 tan 1 1 But LESSON 2 PROOF Let then Differentiate But LESSON 3 PROOF Let then But Differentiate . − cos− 3 3 cos LESSON 4 Show that if cos− 3 , then SOLUTION iff cos 33 sincos 3 si3n sin 111cos 3 3 coscos− 33 1 3 1 3 3 √193 sin− √1 1 . ′′ cos− √1 1 . ′′ tan− 1 1 . ′′ In general, given that is a function of , we have P a g e | 11 DIFFERENTIATION OF EXPONENTIAL FUNCTIONS FUNCTION DERIVATIVE LESSON 1 (a) (b) (c) (d) (e) Differentiate the following 2− + 11 2−− 223cos3 663cos3 cos3 1 [2] SOLUTION (a) (b) (c) (d) 2 2 12 1 2 +2− 1 1 −1 2−2 121− − 1 1 2 1 −−2221121 1 13 1131 55 15 151 5 5 1 3 2 15 3 3 2 2 15 33 2 2 15 15153 22 sin 2 2 2 0 sisin coscos sisin c cos sisin co coss coscos s sin 2 cos (e) LESSON 2 Determine for SOLUTION LESSON 3 that Given that , prove SOLUTION 2 2 2 2 20 coscos 2 2coscos sisi n 2 sin P a g e | 12 LESSON 4 Determine defined parametrically by for the equation 1 1 sin− 2 1 1 2 sin− 2 1 2 1 22 × √142 × 21 1 √14 and SOLUTION . P a g e | 13 DIFFERENTIATION OF NATURAL LOGARITHMS 2×2 ×+1 1 2l n 1 1 222212122llnn n 2211lnn 1 l n 2 1 1 3 3 2 llnn22 11 11 2l lnn33332222 221 1 2 332 2 222321 1223662222 1 66 24 1 11233 6 2 221911331 2 22 13 2 2 +− l n 1 ≡ 2 ln11 1ln1 111 1 1 1 1 2 1 1 2 . 1 2 (vii) LESSON 1 following. (ii) (iii) (iv) (v) (vi) 1 Differentiate each of the l3lnn377112 llnnsisin4411 ln + ln22 133 2 ln33 1 1 3 1 3l33ln7772 2 7217 2 2 (vii) (viii) SOLUTION (ii) (iii) (iv) (v) (vi) ln2 1 11 1 ln4co4siscosins444 4co4sicotnt44 22lnlnn 1 22 lnn 2l2ln 1 (viii) LESSON 2 that SOLUTION Given that , show P a g e | 14 LESSON 3 Differentiate SOLUTION 3 l1n ln 3 ln3 3l nln33 3 w.r.t ln − ln ln √3 3 l1n ln1 l1ln2 3 3 1 2 3 3 3 3 3 33 3 3 3 3 3 3 Sub 3 3 3 33 3 3 33 3 In general, if LESSON 4 SOLUTION then If , find P a g e | 15 PARTIAL DERIVATIVES For partial derivatives we differentiate with respect to one variable and treat the other variable(s) as constants. ,, 4ln ,, 44 ln 2 4ln 4 4ln 8 ,, 442ln 48 LESSON 3 Given that , determine (i) (ii) SOLUTION LESSON 1 Given that ,, 2 2 ,, 2 ,, 2 2 5 3 2 2 52 ,, 22 2 − 4 25 − 4 5 33 2 2 33 22 8843333 2233 2 266 22 33 22 88433 2232222 22 , evaluate (i) (ii) SOLUTION (i) For we differentiate , treating as a constant. (ii) LESSON 2 with respect to (i) (ii) LESSON 4 determine (i) (ii) (iii) Given that , determine SOLUTION (i) (i) (ii) (ii) SOLUTION (i) (ii) Given that (iii) 2 4 4 3 , P a g e | 16 2 ,, 2,2, 1 ,, 3 2 2 2,2, 1 321 12 LESSON 5 For determine . , SOLUTION LESSON 1 Given that ,, 4 4 ,, 3 4442 2 −− 6 6 ,, 4 42 3 4 2 3 8 8 ,, 8844− 3 8 8 2 , determine (i) (ii) (iii) SOLUTION (i) (ii) (iii) NB: LESSON 2 Given that l ln s sinn (i) , determine (ii) (iii) (iv) (v) (vi) SOLUTION l ln1 s sin 48 l ln12s sin 2 2223−coscos3− 44 322 cos 23 32 322 sin 23 4 32 cos23 94 sin23 l ln2 s sin 2− 2 2 3cos2 3 2 cos3 3 22 − cos − 2 34 cos23 32 32sin23 22 34 cos23 49 sin 23 (i) (ii) (iii) (iv) (v) (vi) P a g e | 17 INTEGRATION RESULTS SOLUTION + ′ √′ FUNCTION LESSON 1 (i) (ii) (v) (vi) ln|| ln|| 1 1 ++ 1 + llnn||cos| csec| ossec|| 1 lnsecsec ln|sesectanttan| lntan2 ln|−sisin|| sin 1 tan− (vii) (i) (ii) (iii) or Determine ∫ ∫ − ∫ −+ ∫∫ tanan+− ∫ 12∫ 332l2l 5n5 (iii) (iv) INTEGRAL (iv) (v) (vi) ∫ 1 22 l2ln n|| ∫−ln|44 1| ∫ −5 2 2 12 +52 ln|12| 1 2| ∫ 1+−46 2 2 6 6 9 12 ln|22 6 6 9| ∫ tansin cos sicosn ∫ 12ln|cos| c33os 5| 5 3335 5 2 ln ∫ 12ln 33 2 ln 2 ln4 332ln (vii) P a g e | 18 LESSON 2 (i) (ii) (iii) (iv) (v) (vi) Evaluate each of the following. ∫∫ 2− ∫ 2 ∫ ++ ∫∫ 3 √ 6 6 + ∫∫ csc (v) (vii) (viii) (vi) SOLUTION (i) (ii) (iii) (iv) ∫ 1 2 − ∫ 2 − 2 2 22 11−− 2 ∫ 222 4 ∫ ++ 5−1 −−− 25 2−1 −−−−− 52 1 1 52 1 5−−− 21 − ∫ √ 6 6 6 6 14 46 6 1 4 636+ 2 16 6 6 ∫3 ∫ + ∫csc ∫ − ∫∫ −− + − ∫ − 1 √2 2 sin− 2 ∫ −− 1 + 3 2 22 1 23 3 222 2 1 1−− 2 3 22 (vii) (viii) LESSON 3 (a) (b) (c) SOLUTION (a) (b) Determine P a g e | 19 (c) 12 1222 1−− 32113 tan−223 4 22 1−− 2 tan− 3 ∫− Even powers of and sin sin csions211cos2 2 sisin 2 2 sin 1 cos2 2sin22 2 4 cos cos cos co s 2 2co 2 cos s 1 1 1 cos2 cos 2 2 cos 1 cos2 2sin22 2 4 LESSON 1 Determine SOLUTION Using the identity LESSON 2 Determine SOLUTION Using the identity P a g e | 20 sin sinsin 1si ncossisi n sinsin sin 1cos 1cos s sinn sincn cos sinn cos sisin cos co coss 3 cos cos co coss cos cos cos 1si 1sin c cos sin cos sin sin 3 sin 2 sin 2 sin2sisi2 n 2 sisi n 22 1cos 1cos 22 1sisi n 2 cos sin22cos 2cos 2 2 cos2 6 LESSON 1 Determine SOLUTION Since LESSON 2 Determine SOLUTION LESSON 3 SOLUTION Determine cos sin cos sin co coss coscos sin cos cos 1si 1si n sin scoincos s sisisnin cos sin 5 7 LESSON 4 SOLUTION Determine P a g e | 21 tan tansec 1sec se tcan 1 1 t a n 1si n cos1 sin cos cos lsen|seseseccttttaann| ln|sec| | s ec | | ln sec sec sec t tan tan 2 tan 2 1se secc 2 1 2 tan 2 LESSON 1 Determine SOLUTION Since LESSON 2 SOLUTION Determine P a g e | 22 –– –– – INTEGRATION BY PARTS When choosing we use the following acronym. Logarithms Inverses Algebra Trigonometric Ratios Exponentials LESSON 1 SOLUTION Determine 1 LESSON 2 SOLUTION Determine 121 2 3 3 1681 2 3 3 1681 2 3 31414 2 2 3 1681 2 3 31212 3 3 56 2 3 34 1 1 √312 1 √312 1 33 11 22− 3 1 − 3 1 2 12 312 2 √121 3 1 11 2 2 3312 1 2 3 1 11 2 2 1 2 2 11 2 23 1 1 2 12 1 2 2 2 c cos cos 1 coscos sisin c cos sin sin s sin cos cos LESSON 3 SOLUTION LESSON 4 ∫ 22 3 2 3 3 1 1 22 3 3 12 2 3 3 2 3 3 121 2 3 3 121 22 3 Evaluate SOLUTION Evaluate P a g e | 23 LESSON 5 Determine ln SOLUTION lnn 1.ln ln 1 ln1 lnn 1 1 lnn LESSON 6 SOLUTION SOLUTION Evaluate sisin Determine lnn ln 1 3 lnn 3 ln 3 13 ln 19 9 3l3ln 1 LESSON 7 lnn sin 2 sisin coscos sin coscos 2 cos 22 2 22cosco s cos sisin 2222 ssisiin— nn — 22sicosconns sisin 2cos s0sisin 2 coscos 2cos 2cos— — cocoss 022 2co 244 2 2 sisin sisisisinn coscos 1 12 1 coscosisisn 2 sisin 2 cos sisin 12 LESSON 8 SOLUTION Evaluate P a g e | 24 1sin 1 1 1 2 sisin 2 12 coscos 12 sisin 1 5 sisin 2 1 sisin 4 1 coscos 4 sisin 4 sisinsisin 2 2 sisinsisin 1 4 cocoss 5 5 P a g e | 25 LESSON 9 Establish a reduction formula that could be used to find ∫ and use it 4 − − − 4 −− 44 44 3 3 44 44 1212 1212 2 2 24 44 44 12 12 12 24 12 24 24 4 4 12 12 24 24 2 24 4 4 12 12 24 2 24 44 4 412 12 12 12 24 24 24 24 24 2 24 ≡ cos ∫ sincos∫ cos− − −− when . SOLUTION LESSON 10 If show that . Hence, find . SOLUTION STEP 1: Write the integral in the product form co coss cos− cos− 1 1 cos− sisin STEP 2: Integrate by parts or an appropriate method coscos sisin sin coscos−− 1 1 cos− sin STEP 3: Simplify sincos− 1 1 cos− 1 co coss sin coscos−− 1 1 cos− 1cos 1cos sincos−− 1 1 cos− 1 1 cos sincos sincos 1−1−−111−1− 1sin coscos−− 1111−− sincos −− STEP 4: Apply the derived formula to the rest of the question 51 4 5 sincos 5 31 2 3 sincos 3 STEP 5: When you have reduced your integral to its lowest form, go back to the original integral & 1 c cos sisin 15 sincos 45 13 sincos 23 sin ∫ 1 1 2 1 1 −− 1 1 plug in the final value of . LESSON 11 that SOLUTION If , show P a g e | 26 1 1 1 11−− 1 2 −− 1 2 1 1 11 . 2 12 1 1 2 11−− 12 1 1 2 −− 2 1 1 −− ∫lnln , ≥ 0.0. ≥ 1,1, 12 12 −− ln 22ln ln −−. 1 ln 22ln ln −− 22ln ln ln −− . . 2 ln ln −− ln 1 1 ln 2 ln 1 2 −− 112 32 −− 12 32 1 1 3 3 2 1 2 32 1 1 2 4 2 4 2 2 2 LESSON 12 It is given that By considering or otherwise, show that for Hence, find SOLUTION in terms of METHOD 1 Rearrange the equation Take integrals of both sides 14 34 34 12 34 ln 121 34312 3 12 12 83 8 8 8 ln lln 1ln −−. 1 1 2 2 ln 1 2 ln −− 112 ln 1 2 −− 2 2 −− 4 sisin 1 √16 METHOD 2 is found the same way LESSON 13 By using the substitution , find the exact value of −16 16√16 1− √16 Show that ∫1616 − 11−,− 22≥√23 44cos4cosisin s 2;2;4cos 4cos 6 Deduce, or prove otherwise, that if for SOLUTION , then . Hence find . P a g e | 27 0; 0 √161 1 16 4 cos 16 4si 4 si n 4cos √1616sin 4cos 16 16 1 sisi n cos √1sin cos cos 1 1 0 6 −16 −. 12 −16 1 6. 22 16 1 1− 2√216 1 116 −− 1616 √16 1 1√16 √16 1 1√161616−− 1 1 √16 1 1 √16 − 1616√16 16 √16 16 1 1 √16 −16 1616√16 1− √16 √16 − 1616 1 √16 −16 2 1616 1 1−− −−16 0 1616 1 1−− 2 2 1√12 1616 1 1−− 2 2. 2 . √4.4. √3 2 1616162121√−3− 2 2 √2 2 16 4 4√3 √161 sin− 4 20 6 2 483 4√3 3 2√3 P a g e | 28 PARTIAL FRACTIONS LESSON 2 Denominator with Linear Factors LESSON 1 fractions. Express −−− in partial 2 27 2227 1 1 ≡ 2 2 1 1 2 7 1 1 1 2 2 2 3 3 9 3 13 1 2 13 1 2 27 2 272 21 2 13 1 ln|112|2|3l n| 1 1| ln 2 2 233 1 111333 3 1 3 3 2 11 113 33 33 1 3 3 3 33 1 24 112 2 0 3 13 33 333 2 2 2 1 2 233 1 111333 1 2311 1 213 3 SOLUTION When (a) Express (b) Hence determine SOLUTION (a) Comparing coefficients of in partial fractions ∫ +−− ++ −− 13 2195195 6 1113132219 3 3 13 2 After factorizing the denominator we get When 13 19 1313 1 19 119 223232 1 331 22 1133 3 121 2 2 453 15 3 202 10 1 616 13 2195195 6 11 1 23 2 32 3 13 2 +−− ∫ ++ ln|11111|3l n|223 22| 2l n|33233| When When When When When ++ −− + (b) P a g e | 29 LESSON 3 ++ +++++ + Express ++ + +++ ++ in partial 5 2 2662 22 5 6 5 5 6 2 5 4 5353413 3 333313333 1 5 2626 22 25 2 2225 22 5 2 2 2 2 5 2 3 3 3 3 3 2 5 6 3 3 1 5 254 6 3 321 5 5 2 2 5 8 10 36 4 4 2 5 2 3 3 1 5 5 4 3 2 2 5 6 6 2 3 3 1 3 3 3 3 1 3 3 222 232 4 5 2 2 2 2 5 −+ + 3 1 1 7 l n 2 2 −+ 2 2 5 ∫ + 3 1 1 7 l n 2 2 2 2 5 2 2 5 25 5 2 25511 2 211 5 2 27 5 32 22 l n 2 2 25511 2 11 ln 2 2 32 ln| 2 2 5| 7 1 11 4 4 2 5 5 2 11 ln 2 2 32 ln| 2 2 5| 7 1 11 2 2 3 7 − | | 1 1 l n 2 2 l n 2 2 5| 5 t a n 25 2 2 2 22 0 2 5 5 2 2 51 1− ln 5t5 tan LESSON 1 Express fractions. fractions and hence determine in partial SOLUTION SOLUTION LESSON 2 Express and hence determine SOLUTION in partial fractions . P a g e | 30 LESSON 1 Express fractions −−−+ in partial 6363 9 99 3636 999 3 3339 3 3339 3 3 33 3 393 3 3 330 93 3 91 9 11 1 26363 9 99 1 32 3 333 SOLUTION When When Equating coefficients of LESSON 2 Express +++ −− fractions and hence determine in partial 5 2 2662 22 5 9 2 9 24 2 9 9 24 24 2 4 94933218 2 2 3 3 2 2929324323233322333 3 2 2 3 2 1535 502 25 22 2 02 9 9 24 2 3 4 4 3 3 18 2 2 3 3 2 4 499332184 SOLUTION When Equating coefficients of When 22 2 3 3 3 3−− 2ln| 2 2| 33 3 P a g e | 31 ≥ +−− + + 2 3311 4 2 3311 4 1 1 2 3 3 4 1 1 1 1 1 24 4 4 1111 3 3 23 3 2 3 2 3311 4 22 3 4 12 1 2 3311 4 2 2 3 4− 12 1 22 l ln 4 2l 2ln| 1 1| + + +− −+ ∫ ++−− If for , has degree and has degree , then quotient has degree LESSON 1 Express in partial fractions and hence determine SOLUTION LESSON 2 2 3 2 32 21 122222 12221 1 2222 2 1 1 2 1414 5 11 5 4 2 5 311102 → 14 2 3 2 3 11 2 1 312222 2 101022 1 5 2 2 2 1 1 2 2 32 1120 221 1 145 21 2 32 1120 ln|22 1| 145 ln| 2 2| SOLUTION Express fractions and hence determine in partial When When Equating coefficients of −−− ++ ++ ++ + 19 19 4 44 21 LESSON 3 Express in partial fractions and hence determine 3 3 2 2 11 33119224441 121 3 3 2 2 1 1 1 19 4 44 21 3 3 2 2 1 1 1193 344242211 1 2 2 1 1 3 33 1 1 3 3222 63 2 11 1 42 2 SOLUTION When When When P a g e | 32 1 11 666 5 3319 19 2244 44 1 1221 5 33 3 21 2 12 1 19 224441 121 3319 5 5 3 3 1 1 22 1 Equating coefficients of Equating coefficients of 3 3 2 2 1 1 2 5 5 3ln| 3 3| ln| 2 2| 2l n| 1 1| P a g e | 33 TRAPEZIUM RULE (NUMERICAL INTEGRATION) Introduction 1 1 The area under the curve equal width (as shown above) can be estimated by finding the sum of the areas of trapeziums of − ℎ2 ℎ2 ⋯ ℎ2 − ℎℎ2 ⋯− 2 2 ⋯ ⋯ − The area of a trapezium with parallel sides The width of each trapezium is where and and width ≈ 2 2 ⋯− 1 1 − 0.4 Using 5 trapeziums, estimate 0.00.4 00.141111 1.1616 0.1.01..82 0.1.82 11 11 1.2.64446444 1.12.6 21.16 1115 3.5656 1 1 ≈ 222501 5 5 2 21.1.161.642.443.566 ≈ 4.72 SOLUTION Width of each trapezium is is given by the formula is the number of trapeziums. Thus we have area under curve is LESSON 1 ℎ P a g e | 34 COMPLEX NUMBERS INTRODUCTION ̅ If then is its conjugate and vice versa. It is also important to note that the product of a complex number and its conjugate is which is always a Real number. The conjugate is also denoted . ∗ √1 1 + : 2 → ̅ 22 ,, 3 2 26 32 62131 3 5 6 5 5 √16 111616 √1√1√16 4 + − √18 9211 3√2 37 52 552 2 3151355 7272414152 5 2 11 4512 214 ± ±± ±± 1 2929 4129 62i 6 2i 54i 5 4i 116 5 25 2 4 1 18 1 82 8 2 18 12 12 9 22334 368861 6166 6 8 32 3 254 5 4 15151515 81212 12121010 10 810 8 23 23 2 2 Complex numbers are written in the form where and are real numbers and is the imaginary unit such that or Sometimes the letter is used to denote a complex number, . A complex number can also be written as an ordered pair of its real numbers, . is also known as the real part i.e. (i) First we find the conjugate of the denominator Multiply the numerator and the denominator by the conjugate is also known as the imaginary part i.e. SQUARE ROOT OF NEGATIVE NUMBERS Thus complex numbers can be used to find the square roots of negative numbers. Examples (ii) Express With this extension of the number system we can now solve equations which we once unsolvable. For example, (i) (ii) (i) (ii) (iii) (iv) in the form P a g e | 35 SOLUTION 1 11 0 ±√±±√1 3333±33 40 413 3± 2 1 3 ±2√3 3± 4 232±2√311 4 22221 ± 022 4 441 2±2 ± 12 24 √8 2± 48311 2±22 ±4 1 ±8√2√33 4± 4 22 2 2 1515 10 10 0 22 222 2 1510 1 510 0 222 2 1 5 1 0 0 1510 2 2 ± 2221 44111510 2 2 ± 22 2 222 2 2 6 60 40 22 2 2 ± √28 6 60 40 22 2 2 ±2 √6032 22 √606060323232 (a) LESSON 1 Find √1515 88 SOLUTION We assume that the square root of a complex number is a complex number √1515 8 15 8 15 8 2 2 15 2 4 8 4 15 16 15 15 15 16 16 0 16 16 1 1 0 16 1 ±1 ±4 √15 8 4 or 4 ±±4 Invalid since is real Thus we see that a complex number has 2 square roots, which are complex numbers. LESSON 1 (a) (b) (c) Solve the following equations 31 1330 0 4 2 2 1 (b) (c) LESSON 2 SOLUTION Determine such that P a g e | 36 6060 3232 60 2 2 16 → 16 25616 60 6025 60 2566 0 60 64464 4 4 0 ±2 2 82 162 8 2 82 216 8 2 2 ±2 82 82 22 2 2 2 82 82 5 22 2 2 2 82 82 3 2 22 0 ±√± √2 44 4 4,, > 0 −±−±√− 2 ± 2 When When For the equation Letting , we have As a result we can conclude that if a quadratic equation has complex roots they occur in conjugates. 2 2 In general, if a polynomial has complex roots they occur in conjugate pairs. For example, if is the root of a polynomial equation then is also a root of the same equation. Recall: 0 sum of root s prproduct of roots 0 0 ,, andand 543 5 5 5555555525 0 25 25 0 4 3 4 3 3 43 4344 34334 3 25 8 8 8 25 25 0 12 15 0 If , then where and and are the roots of the equation i.e. Also, if then , where and are the roots of the equation. LESSON 1 Given one root find the equation (i) (ii) SOLUTION (i) Let then Equation is (ii) Let then Equation is LESSON 2 equation roots. Given that is a root of the , find the other 2 SOLUTION Since complex roots occur in conjugate pairs and a cubic polynomial has 3 roots one root must be real. 21, 1 2, ∈ ℝ 12 1 2 112 2 3 1 1 2 1 Let P a g e | 37 INTRODUCTION ,, A complex number can be represented on a diagram called an Argand diagram as (i) a point with coordinates (ii) a vector 5 8 2 58 58 58 2 7 9 58 2 3 7 LESSON 1 Find and and and for . Hence, represent on Argand diagrams. SOLUTION (i) (ii) | | | | √ 13 4 511 √3 || 11 1 1 √2 The modulus of a complex number, , is a measure of the magnitude of , and is written as . Thus modulus LESSON 1 (a) (b) (c) (d) SOLUTION (a) . Determine the modulus of P a g e | 38 || |334 344 | 33 4 4 5 11 √3 || 51 1 √3 11 √√3 2 || 5 | | 3 4 22 3,3,4 2,2,11 (b) SOLUTION (a) (c) (d) LESSON 2 what is If ? and , (b) SOLUTION We are trying to find the distance between and . In other words, what is the distance between the points and on the Argand Diagram? (c) (d) | | |34 2 | |32 32 41 41| 32 32 41 41 √50 arg t– <an≤ 113 4 511 √3 The angle is called the argument of ( ) where is the angle the vector representing the complex number on the Argand diagram makes with the positive real axis. Thus . To avoid complications we use and this is known as the principal argument of . LESSON 1 (a) (b) (c) (d) Determine the argument of arg 1 tan− 11 4 arg 34 2. 2t1 an− 43 arg 1 1√3 2 tan− √13 3 arg 5 P a g e | 39 5c 5 c os o s s s i n n 2 3 2 3 cosco s sisin 6 5c5 cosos6si n ∴ cosco s sisin || 5c55cos os 6 sisin 6 cos sinn ar g 6 1 – co c o s s i n √2cos4 sinn4 c o s s i n – coscoscoscossinsin 113 4 511 √3 coscoscossinncosscions sinn sisinncos si n coscocscossisincoscos sisisisin ncossisin √112cos sin 4 4 coscos sin 53coscos42.2.211 sin2.2.211 + + 2cos 11 √3 2 sinn 2 c+ o+ s s s i n c o s s i n c o s s i n n c o s s i n n 55cos s3inn 3 scocoss co cosssisicoscosnnsisi sisi nnco ncos s sinsin cosccoosco os coss sisi n sisinn sisincos cossin coscos sin c c os o s sisi n cos5cosisisnsi 5cos sinn ̅ c o s s i n n cos c os s i n || cosco1s si sinn | | | | | 3 | | ar g 5sisin55cos arg || argarg a argg arg arg arg 5sin 3cos3 If Therefore, is has modulus and and argument in modulus then argument form LESSON 3 and LESSON 1 Write the following in modulus argument form (a) (a) (b) SOLUTION (c) (d) (a) Prove that for (b) SOLUTION (i) (ii) (iii) SOLUTION (b) (iv) LESSON 2 Find the modulus and argument of the following NB: If (i) (ii) SOLUTION (i) Furthermore, we can conclude (a) (b) (ii) (c) (d) then P a g e | 40 LESSON 4 11 1 √3 Given that , determine (i) argument form. and (ii) and in modulus SOLUTION || 1 √3 2 arg tan− √13 3 || 1 1 1 1√2 arg t tan− 1 4 2√2cos7 si7n 2√ 2 2 c os s i n √ 12 12 √ cos si n √2cos 12 sin 12 (i) (ii) – P a g e | 41 INTRODUCTION ccosos sisin coscos sisi n 2 2 sincn coss coscos 2 s sin22 then This can be extended to give cos cos sin Use De Moivre’s Theorem to prove the fol owingidentities coscos 4 ≡ 8cos 8 coscos 1 1 LESSON 1 SOLUTION 4 c cos4 sin4 cos sinn cos 4 coscos sinn 6co 6coss sin 4c4 coss sin sin cos 4 4cosos sin 6 6 cos sin 4cosos sisin sisi n cos4 cos 6 cossin sisi n cos 6 6 cos 1 co coss 1cos 1cos 1 cosos cos 6 6 cos 6co6 coss co coss 2 cos 1 8co8 coss 8 coscos 1 1 Use de Moivre’s theorem to show that sisin 5 co coss sinn cos sin s sin ,, 5 c cos5 s i n 5 c o s s i n n 1co1 coss 5co 5 coss sin 10cos sin 10cos sin 5c 5cos os sin 1 1sin cos 5cos sin 10cos sin 10cos sin 5cos sin sin sisin 5 5co5 coss sisin 10co 10coss sin sisi n 5, 10, 10, 1 When Equating real parts LESSON 2 where and are integers determined. SOLUTION When Equating Imaginary Parts P a g e | 42 Use de Moivre’s theorem to show 3t 3 t a n t a n tan3 13tan c cos3 s i n 3 c o s s i n n cos 3co 3 coss sin 3cos 3cos sin sin LESSON 3 that (ii) −√ 1 √3 – 1t√3tan − √13 √√3 2 By DeMoi3 vre’s Theorem 3− cos 3 3cosos sisinn 3co 3cosssisin sin 11 √3− −2 cos os 3si n 3 sin3 3 2 cos cos 3 cos3 cos 3 3 cos sin 118 cos sinn 1 1 8 sisin 3 3co3 coss sisin sisi n 18 sin3 – √3√3 tan3 cos3 3 coscoss 3s3incossss ssiinn 3co 3 coscoss si n cossin 3co 1 3 3 1 2 √ √ coscos 3cossi n cos 1 − t a n an t tan √3 6 3t3 t13tan √3 2 cos6 s sinn6 By De Moivre’s Theorem cos si n √3 2cos6si n 6 −√ 6 cos106 sisinn10 2 1 0 si n 5 5 cos 1024cos s i n n 3 3 BycosDeMoisivren’sTheor e m 12 √23 1024 4 4 cos12× sin12× 1coscos 34sin3 4 51512 512√12√3 Rewriting form in Modulus Argument SOLUTION Equating Real Parts: Equating Imaginary Parts LESSON 5 Express argument form. Hence, find . SOLUTION LESSON 4 (i) (ii) SOLUTION (i) Find the value of in the modulus in the form P a g e | 43 INTRODUCTION sin cos 1 cos 1 sisin coscos sisin cos sinnco. coscos s sinsisin ∴ 1 ccos sin ccos sinn 2c 2 c o s 1 ccos sinn cos sinn 22 sisin By De Moivre’s Theorem 1 coscos sisin ,so , so that c1os os sisin 1 2co2 coss and 2sin cos 1 4 4. 1 6 6. 1 4 4..1 1 4 4 6 6 4 1 14 1 6 cos sin,n , 2co2 coss 2cos 2cos2cos 4 42cos2 ∴ 2cos 2cos2 6 16cos 1 2cos2cos 4 8 coscos 2 6 cos 8 coscos 4 4 cos 2 3 3 Expressions for powers of and in terms of sines and cosines of multiples of can be derived using the following results If then LESSON 1 Express cosines of multiples of . SOLUTION If in terms of s i n 1 3 3. 1 3 3..1 1 3 3 3 1 1 3 1 cos sin,n , 2sin ∴ 22sin 2sin 3 3 322sin 8sin 1 2sin336sin sin 4 sin3 4 sin LESSON 2 multiples of . Express in terms of sines of SOLUTION If From Maclaurin’s Theor em cos 1 2!2! 4!4! 6!6! ⋯ sin 3!3! 5!5! ⋯ ⋯ ! ! ! ! c o s si n 1 1 ⋯ coscos sisi n 1 1 ! ! ! ! ⋯ ⋯ 1 11 1 Then This series the expansion of appears to be similar to i.e. Looking at the powers of P a g e | 44 111 1 Now let’s try the expans ion 11 2!2! 3!3! 4!4! 5!5! ⋯ 11 2!2! 3!3! 4!4! 5!5! ⋯ 11 2 4 ⋯ 3!3! 5!5! ⋯ ⋯ cos sisin cos sinn 11+ √− |11| 1 1 1 √2 arg tan−1 4 √+2− √ 1 √3 arg || 1 1 1 √2 4 || −√31 11 2 arg t tan √3 6 || √22 5 arg√2 arg a arg 4 6 12 2 Grouping Imaginary and Real terms NB: If ∗ − then We will be using the notation LESSON 1 If the point in the complex plane corresponds to the complex number , find the locus of in each of the following situations. |||223| 4 | 3 3 | 2 | | 3 0 ,0, 0 ,, ∴ | 0 0 0| 3 | | 9 3 (a) (b) (c) SOLUTION (a) The distance between the point and the point representing the complex number is 3 CARTESIAN FORM LESSON 1 Express the following complex numbers in the form . (a) i.e. a circle with centre at (0, 0) and radius 3 (b) SOLUTION (a) (b) Let and (b) | 2 2| 4 2,0 2,2, 0 ,, || 2|2 4 0| 4 | 2 22 | 4 4 2 2 16 Circle with centre and radius 4 The distance between the point and the point representing the complex number is 4 CARTESIAN FORM P a g e | 45 7 77 11227 0 2 4 , 00 Circle with centre (c) | 3 3 | 2 3,3,1 3, 3, 1 ,, || 3 33 1 1|| 2 2 3 3 1 1 2 Circle with centre and radius 2 The distance between the point and the point representing the complex number is 2. CARTESIAN FORM LESSON 2 Determine the Cartesian equation of the locus of points satisfying the following conditions. (a) (b) 2−|− 3√|3 || + 2| 3| || 22|| 33 33|||||| 4444324 3 24 3636 3 33 8 824 2412 36360 0 4 4 40,0, 4 −+− √3 || 1 1| √1|3| √232|| 2| | 1 11 | √33|222| 3 1 2 222 21 1 14 1 2 123 12 3 14 11 11 0 SOLUTION (a) CARTESIAN FORM Circle with centre (b) and radius 2 and radius √ . ,, LESSON 3 Sketch the locus of the point representing the complex number , given that . Write down the Cartesian equation of the locus. | 3| | 2 5| | 3| | 2 5| | 3 3| | 25 | 25 ,, 0, 0 , 3 ,, ⊥ 2,2,55 | 0 3| | 25 25| | 3 3| | 2 2 55| 3 3 2 2 5 5 6 6 9 4 4 4 10 10 2 25 1616 4 4 20 0 4 5 5 0 arargg 3 332 SOLUTION Rewriting The distance between the point , representing the complex number , and the point is equal to the distance between and the point . Therefore, we are finding the bisector of . LESSON 4 Describe and sketch the locus of the points satisfying the following conditions. (a) (b) CARTESIAN FORM SOLUTION (a) arg 3 3 P a g e | 46 arg 30 3 0 4 arg− 3 3 4 tan 3 3 4 3 3 t3an>43 1 3,3, 0 ; This is the half line starting at positive real axis. (b) SOLUTION | 2| 1 | 0 2 2| 1 Circle with centre , not including (3, 0), making an angle of | 2| ≤ 1 LESSON 6 Shade on an Argand diagram the region in which . with the arargg32 32 32 3 ar 2g2 3 3 2 2 3 3 23 t√a3n333√3√3 √3– 2 3√3 > 33,3,2 ; The half line starting at , exclusive, which makes an angle of with the positive 0,0, 2 and radius 1. LESSON 7 (a) Sketch on one Argand diagram: (i) the locus of points satisfying | | | 2 2| arg 4 | | ≤ | 2 2| – ≤ arargg ≤ ||| |022|| | 20 2 0| 0 ,0, 1 ar2g,2, 0 arg– 0 0,0, 14 (ii) the locus of points satisfying real axis. (b) Shade on your diagram the region in which and SOLUTION (a) (i) 22 1 21 11 11 1 2,2, 1 LESSON 5 where Describe and sketch the locus of SOLUTION Using vectors This is the line passing through the point and parallel to the vector , i.e This is the perpendicular bisector of the line segment joining the points and (ii) Half line starting at making an angle of axis. , excluding, with the positive - P a g e | 47 (b) (ii) LESSON 8 arg s sin− LESSON 9 (a) Sketch on an Argand diagram the locus of points satisfying the equation | 6 6| 3 | 6 6| 3 | | 1 < ≤ 1 (b) It is given that satisfies the equation . (i) Write down the greatest possible value of . (ii) Find the greatest possible value of , giving your answer in the form , where . SOLUTION (a) Circle with centre arg 0,0, 6 (a) On the same Argand diagram, sketch the loci of points satisfying: (i) (ii) |arg3 3 33| 5 (b) (i) From your sketch, explain why there is only one complex number satisfying both equations. (ii) Verify that this complex number is 74 – SOLUTION and radius 3 3,3,3,3,110 (a) (i) Circle with centre (ii) Half line, starting at making an angle of real axis. (b) (i) 9 is the largest possible value of | | and radius 5 , exclusive, with the positive . (b) (i) There is only one complex number satisfying both equations since there is only one point of intersection due to the P a g e | 48 73 ||743 | 4 3 3 | 4434 | 33 5 ar garg744 444 3 tan− 44 34 half-line which starts within the circle. (ii) If is the point of intersection it must satisfy both conditions. SEQUENCES P a g e | 49 At the end of this section, students should be able to: {} 1. define the concept of a sequence of terms as a function from the positive integers to the real numbers; 2. write a specific term from the formula for the th term, or from a recurrence relation; 3. describe the behaviour of convergent and divergent sequences, through simple examples; 4. apply mathematical induction to establish properties properties of sequences. P a g e | 50 SEQUENCES INTRODUCTION A sequence is a list of numbers which obey a particular pattern. Each number in the sequence is called a term of the sequence. These are usually denoted where is the first term, is the second term and is the term. In some cases the sequence can be defined by a formula an expression for the term. , , , … , −, – +4+ 1 11 ++ + 441 11 1 3 4423 11 11 71111 4445 11 11 15191159 3, 7,++11, 15, 19, …. 1122 1 11 23 33 2 1 42 44 3 1 53 55 4 1 64 3 54 55 6 2,2, 2, 3, 4, 5, … 1 1 21 12 21 14 21 81 2 16 (d) LESSON 1 Write down the first 5 terms of the following sequences: (a) (b) (c) (d) SOLUTION (a) (b) (c) 1 1211 3211 1 2, 41, 18,++16, +32, … 11 1 12 1 12 2 11 2 3 1 3 3 11 3 4 1 4 4 11 4 5 1 5 5 1 112 35 14 56 2 , 3, 4 , 5, 6, … 5, 8, 11, 14, …. 2, … , , , , , … 1,1,1, , ,, , , , , …, … × , ×, × , × , × , …. 2,2, , , , … LESSON 2 For each of the following sequences determine an expression for the term, . (a) (b) 8, (c) (d) (e) (f) (g) 6, 4, 2, 0, SOLUTION 3 3 2 2 2 10 2 + (a) Consecutive terms differ by 3 therefore we try . To create the right formula we add 2 i.e. (b) Consecutive terms differ by therefore we try . To create the correct expression we need to add 10 i.e. (c) The numerators are the natural numbers and the denominators are two more than the numerator i.e. (d) Ignoring the signs, each numerator is 1 and the denominators are the natural numbers . Since the signs alternate between positive and P a g e | 51 11++ 11++ + 1 1 ++ 1 1 + negative, starting with positive, we use . Therefore (e) Each numerator is 1 and the denominators are powers of 2 i.e. (f) Each numerator is 1 and the first number of the denominator is and the second is . Therefore (g) The numerators are the natural numbers but they begin with 2, i.e. and the denominators are the square numbers. Therefore The sequence above diverges since it does not converge to any specific value. A sequence can be classified as being convergent, divergent, oscillating or periodic. Convergent sequences as the name suggests converge to a definite limit. →lim This oscillating sequence above is divergent. The sequence above is convergent because it is tending to a value. This divergent sequence is PERIODIC as it consists of a set of values which are constantly repeated. The repeating pattern of the sequence consists of three values therefore the sequence is said to have a period of 3. The sequence above is OSCILLATING and converges. Divergent sequences are sequences which are not convergent. P a g e | 52 LESSON 1 Determine which of the following functions is convergent or divergent. If the sequence is convergent, determine the limit of the sequence. (a) (b) (c) (d) + − − √+ lim 3 → →lim 31 1 →lim 1 →lim 1 3 1 3 lim → →lim 77 →lim 7 1 →lim 1 7 0 lim √−+12 → 1 2 →lim √3 4 →lim 434 44 1 4 4 4 1 →lim 3 4 SOLUTION (a) 4 1 4 →lim 3 4 4 1 4 →lim 3 4 l→im →lim 1 By L’Hopital 0→lim 3 DOES NOT EXIST Not convergent (d) Convergent and converges to 0. LESSON 1 following A sequence is given by the 4 + 3 converges and it converges to 3 (b) is convergent and it converges to 0. (c) Write down the first four terms of the sequence. SOLUTION 4 + 3 3 7 + 3 3 1010 + 3 3 1313 1,1, + 33 1, 1 ∈1ℤ+ 1,1, ∈ ℤ+ 1 1 1 1 1 1 LESSON 2 defined by A sequence of positive integers is Prove by induction that SOLUTION When , P a g e | 53 1 11 1 + 1 1 1 1 + 33 1 11 1 133 1 13 1 3 2 2 1 2 2 1 1 1 1 1 1 + 1 1 1, ∈ ℤ+ 5 + 2++11 2 2 2+ 1 1 2 1 1 5 + 2 +1 1 + 2 1 1 ++ 2 2++ 2 +12 22+2 1 2 1 1 + Therefore is true Assume true for Now, Therefore, is true when Mathematical Induction LESSON 3 and is true. Hence, by A sequence is defined by . Prove by induction that . SOLUTION Therefore Assume is true is true for Now, Therefore is ture whenever is true. Hence by mathematical oinduction 2+ 1 1 . P a g e | 54 SERIES At the end of this section, students should be able to: 1. 2. 3. 4. 5. 6. 7. 8. Ʃ use the summation notation; define a series, as the sum of the terms of a sequence; identify the th term of a series, in the summation notation; define the th partial sum as the sum of the first terms of the sequence, that is, = ; apply mathematical induction to establish properties of series; find the sum to infinity of a convergent series; apply the method of differences to appropriate series, series, and find their sums; use the Maclaurin theorem for the expansion of series; 9. use the Taylor theorem for the expansion of series . P a g e | 55 SERIES 2 = 2 INTRODUCTION , , , , … , ⋯ Given the sequence corresponding series is , the ⋯ is the 11++ partial sum where: the first partial sum the second partial sum are powers of 2 i.e. partial sum LESSON 1 Write each of the following series using sigma notation. (a) (b) (c) (d) (e) (f) (g) 581114⋯ 86420 86420 2 2 ⋯ ⋯ ⋯ 1 ⋯ 1 ⋯ ⋯ ⋯ ×2 × × ⋯× × 33 2 3 2 = 2 2 102 102 = 1 ++ 1 1 1 = 1 = 2− (v) Each numerator is 1 and the denominators the third partial sum the (iv) Ignoring the signs, each numerator is 1 and the denominators are the natural numbers . Since the signs alternate between positive and negative, starting with positive, we use . Therefore 1 1 1 = 11 1 1 1 1 = (vi) Each numerator is 1 and the first number of the denominator is and the second is . Therefore (vii) The numerators are the natural numbers but they begin with 2, i.e. and the denominators are the square numbers. Therefore SOLUTION (i) Consecutive terms differ by 3 therefore we try . To create the right formula we add 2 i.e. (ii) Consecutive terms differ by therefore we try . To create the correct expression we need to add 10 i.e. (iii) The numerators are the natural numbers and the denominators are two more than the numerator i.e. + The following standard results can be used to find the sum of various series. 1 1 , 1 1 2 2 1 , 2 6 = = = 4 1 ∑∑== 1 1 LESSON 1 Find each of the following sums (a) (b) SOLUTION (a) ∑== 1 1 P a g e | 56 = = = 4 (b) 406 4 1 124 1 1 42 4 1 ∑= = = 16164 471161 1 61 94 9 1 1 ∑∑====11221 1 ∑== 1 1 1 1 = 1 1 = = 1 611112222116 1 1226 1 6 22 3 3616 22 3 36 156 22 65 1 1 ∑= 26 2 = 2 2 = 2= 4 1 1 2 2 6 1122 1 LESSON 2 Express each of the following in a factorized form. (a) (b) SOLUTION (a) (b) 31 111334 41121 141222111 1 133 3123 8 4 12 LESSON 1 that Prove by mathematical induction 1 = 1 1 12 1 1 33 2 1 : = 1 1 12 1 1 33 2 : 11 1 1 121 11 1 131 2 2 0 0 1 : = 1 1 12 1 1 3 2 2 + 1 +: = 1 12 1 1 1 1 1 3 1 2 121 1 1 2 233 5 121 1 1 2 23 5 5 1 1 for all positive integers . SOLUTION Therefore, Assume Now, is true. is true for + term + 121 1 13 2 2 1 1 11 1 1 121 1 1 1 133 2 1212121 1 121 1 1 1 13 2 2 12 1 P a g e | 57 121 1 133 2 12 12 121 1 133 11 11 10 10 121 1 1 2 233 5 + 1 1 1 1 1 3 3 2 12 = 1 1 = {={ 1 } Therefore is true whenever is true. Hence by mathematical induction :1: 1: 111112 2111 21211 1 = 1 1 3 1 1 22 ∑== 1 1 ∑== ∑== (iii) for all positive integers . If , then LESSON 1 LESSON 2 (i) Express in partial fractions. (ii) Use the method of differences to show that (i) Show that 1 1 2 2 1 1 1 ≡ 33 1 1 (iii)Write (iii) Write down the limit to which (ii) Hence use the method of differences to find an expression for 1 1 = ∑∑=== 1 ∑1= . 1111222 211111 1 33 1 111 2 2 ∑= 1: 1 1 121311120211 1 2:3: 233445 23 231234 4: 456 4 435 converges as (iv) Find (iii) Show that you can obtain the same expression for using the standard results for and (ii) tends to infinity. giving your answer to 3 significant figures. SOLUTION SOLUTION (i) 16 1 12 1 1 2 3 1 1 16 1 122 1 6 1 1 16 1 12 1 3 16 1 122 4 3 1 1 2 2 4 1 1 2 2 4 3 2 1 = 1 1 2 2 2 1 1 2 2 4 = 1 1 2 2 4 = 1 1 2 2 (i) + + 4+ +++ + 1 1 2 2 2 2 1 1 0 44 02 12 2 1 4 11 1112 12 When When P a g e | 58 3 3 2 42 222 222 1 1 4 2 3 1 ++1+1+2 2 1 1 2 2 ∑= + 4 2 3 1 11:1 2 22 3 111 2 2 1 2 3 2 3 2: 22 33 141 3: 32 43 51 4: 4 5 6 1: 2 12 1 3 3 111 1 : 4 1 1 2 2 = 1 1 2 2 21 32 22 11 1 13 1 21 2 When (ii) 32 12 1 21 2 → ∞4 3 2 1 = 1 1 2 2 2 1 2 3 2 1 2 1 1 1 2 3 2 ∑= +++++ + + = 141 2 2 = 141 2 2 0.3210410012 10021 32 4912 4921 (iii) As (iv) ARITHMETIC ARITHME TIC PROGRESSIONS PROGRESSIONS , , , … −, , … − 2 2 1 1 for every > 1 INTRODUCTION A sequence is called an or there exists a constant , called the such that if That is Therefore, LESSON 1 Find the common difference for each of the following arithmetic progressions. 3, 5, 7,2 9,7,11, … … 2, 5, 8, 11, … 3,3, 5,5, 53 5 37,7, …2 8,8, 3,3,222,23 , 55 5 2,2 , 5,511, 88,8, 3 11,… 11, 15, … is an arithmetic − 4 1 − 4 1 1 1 44 5 5 − 44 1 44 55 4 4 (a) (b) 8, (c) 3, , SOLUTION (a) (b) (c) NB: Any pair of consecutive terms can be used. LESSON 2 Prove that the sequence 3, 7, progression. SOLUTION We need to show that Therefore, is a constant. P a g e | 59 5 2 2 LESSON 3 The sum, , of the first terms of a sequence is given by . Show that the sequence is an arithmetic progression with common difference 10. − 5 2 2 1 15 1 1 2 2 5 2 2 1 15 5 2 5 2 2 1 155 7 5 2 2 55 7 7 55 7 7 5 2 2 55 1 12 7 5 2 2 5 12 12 7 1010 7 7 − 1010 1 1 7 1010 10 7 10 17 − 1010 7 7 1010 17 17 10 SOLUTION 502 1111 120120 502 21 11 13535 70 3636 25050 3636 12 30602 LESSON 2 The last term of an arithmetic progression of 20 terms is 295 and the common difference is 4. Calculate the sum of the progression. SOLUTION 20,20, 295, 4 201 201 141295 219 202 2219219 2020 14 5140 We need to determine LESSON 3 The sum of the first 6 terms of an arithmetic progression is 54.75 and the sum of the next 6 terms is 63.75. Find the common difference and the first term. SOLUTION 622254.756 1 1 54.75 6 15 15 54. 54 . 7 5 5, 9, 13 54. 75 7 5 63. 75 7 5 118. 11 8. 5 12 55101 1 011 14 1222 66 121 121118.118.5 118.5 66 2 41 6 15 15 54. 54 . 7 5 12 66 66 118. 11 8. , , , … , ⋯ ⋯ ×2: 5 3066 109.118.10119.8.55 30 12 12 66 36 9 2 22 1 1 1 8.4 5 250 120 LESSON 4 If the first three terms of an arithmetic progression are 5, 9, and 13, what is the value of the 10 th term? SOLUTION (1) The common difference, , is 4 (2) Solving (1) and (2) simultaneously Sum Formulae for Finite Arithmetic Sequence If is a finite arithmetic sequence, then the corresponding series is called a finite arithmetic series. The sum of the first terms of the series, which we denote , would be stated as LESSON 1 Find the sum of the even numbers from 50 to 120 inclusive. SOLUTION (1) P a g e | 60 GEOMETRIC PROGRESSIONS , , , … , , … INTRODUCTION A sequence is called a or there exists a nonzero constant , called the such that if − , > 1 27, … is a Geometric Progression. 33−, −− 3−, 3, 3 − 33− 3 − 33−−− −−− − 3 Therefore, or LESSON 1 Prove that the sequence 1, 3, 9, SOLUTION We need to show that is a constant. LESSON 2 The first and fourth terms of a geometric progression are 6 and 20.25 respectively. Determine the 8 th term of the progression. SOLUTION 6 20.25 √20.3.6327553.1.3575 63 6561 2 64 Since length cannot be negative Sum of a Geometric Progression The sum of the first terms of a G.P is given by LESSON 1 The fourth term of a geometric progression is 6 and the seventh term is . Calculate (i) the common ratio, (ii) the first term, (iii) the sum of the first eleven terms. SOLUTION (i) 486 2 486 8 8 8 6 6 34−− −3 4 1 22221 1 512. 25 1 51 −1 5 11− 4 5 5 13 5 45 1−3 4 5 413 5 41−4 3 5 44 313− 114 3 13 (ii) (iii) LESSON 2 LESSON 3 The lengths of the sides of a triangle are in geometric progression and the longest side has a length of 36 cm. Given that the perimeter is 76 cm, find the length of the shortest side. SOLUTION Let longest side be and shortest side be . 36 76 3636 363636367676 369 93693610 40 0 3 52 53 2 2 0 3 3636 23 16 1 , 1 ><1 1 or 111 1 , 48 Given that , find and prove that this sequence is a Geometric Progression. SOLUTION P a g e | 61 5 6 13−− − 556 131− − 65 31− 1 36 3 (ii) 1 12 14 18 161 ⋯ If we think about it we should realise that the sum appears to be 2. Since the sum appears to tend towards a specific number as it goes on indefinitely we refer to this series as a CONVERGENT series. The sum of this series can be given using the formula 1 , 1<1< 1 1 1 12 2 therefore and , Thus we see that our intuitive answer is indeed correct. LESSON 1 The first and fourth terms of a geometric progression are 500 and 32 respectively. Find (i) the values of second and third terms (ii) the sum to infinity of the progression 500 3232 500 32 250032 1258 5 500500 2 200 5 SOLUTION (i) LESSON 2 The first term of a geometric progression is and the common ratio is . Given that and that the sum to infinity is 4, calculate the third term. SOLUTION Sum to Infinity What would be the sum of the infinite series For our series above we have 2 8085005000 5 −500 1 2500 25 3 12 121 44 41 1212 4 116 4 121212 1 3 4 31 34 16 LESSON 3 The first term of a geometric series is 120. The sum to infinity of the series is 480. Given that the sum of the first terms is greater than 300, determine the smallest possible value of . SOLUTION 1 120 4804804801 1 120 1 1 3 14 4 1 > 3001 P a g e | 62 1201334> 300 143 12011 4 > 300 4 3 4801 > 300 4 3 1343 > 58 43 < 8 3 ln 43 < ln 83 ln43< ln 8 > llnn 834 ln 34 is negative > 43.4 1 = 2 1 < < 1 1 1 1 1 1 ⋯ = 12 2 4 8 16 412 12 11< < 1 1 2 12 1 LESSON 4 Determine whether the geometric series is convergent. If it converges, determine its sum. SOLUTION We need to show that . Since , the series converges. P a g e | 63 MACLAURIN’S MACLAURIN’S SERIES INTRODUCTION 0 0 2!2! 0 3!3! 0 ⋯ ! 0 ⋯ ⋯ must be differentiable 0 0 Us– e Maclaurin’s Theorcosem to find coscos0.0.2 coscos 0 coscos0 1 s sin 0 sisi n0 0 cos cos 0 co coss 0 1 sin 0 sin0 0 coscos 0 coscos 0 1 sin 0 sisi n0 0 c cos 0 co coss0 1 1 0 0 2!2! 0 3!3! 0 ⋯ ⋯ ! 0 ⋯ 1 0 112!2! 0 3!3! 1 4!4! 0 5!5! 11 6!6! 11 2!2! 4!4! 6!6! ⋯ ⋯ 0. 0 . 2 0. 0 . 2 0. 0 . 2 0.0.2 1 2 24 720 0.98 must exist at The derivatives of must exist at Only within specific values of is the series valid. LESSON 1 the first four non zero terms for determine an approximation for SOLUTION , hence . 1 cos LESSON 2 Find the Maclaurin expansion for up to and including the term in . SOLUTION 11 cos 11 2 cos 11 2 11 2!2! .. using result Ques tion 1 11 2!2! 2 2 ⋯ ⋯ 11 2 12 Fi n d t h e Macl a ur i n ’ s s e r i e s f o r tan LESSON 3 up to . SOLUTIONhttp://sirhunte.teachable.com/courses /93027/lectures/2211764 0 0 2!2! 0 3!3! 0 ⋯ ⋯ ! 0 ⋯ tan sec 2tanse n sec 2se2secc 4sec tan 0 tan0 0 0 sec 0 1 0 2tann0 sec 0 0 2se2sec0c0 4sec 0tan 0 2 0 0 2!2! 2 2 3!3! ⋯ P a g e | 64 23!3! + Obtain the Maclaurin’s series expansion for 0.0.1 LESSON 4 A function is defined as . (a) up to and including the term in . (ii) Hence, estimate to four decimal places. SOLUTION ++ 0 2 + 0 2 4 + 0 4 8 + 0 8 16 0 16 0 0 2!2! 0 3!3! 0 ⋯ ! 0 ⋯ ⋯ 2 4 4 2!2! 8 84 3!3! 16 1624!4! 0.0.12 2 22 20.02.1 220.03.1 0.30.1 0.0.1 3.3201 −− ,′ 13−− 13 0 1 −− −− 22 13 1 3 33 6 13 1 3 (i) Valid for LESSON 6 l n 1 ln1 – ln +− ln 3+− 3 (i) Use the Maclaurin series for and to obtain the first three non zero terms in the Maclaurin series for You are given that Find and Maclaurin series for (ii) Find the value of for which . Hence find an approximation to , giving your answer to three decimal places. SOLUTION (i) . . Hence obtain the as far as the term in . By considering the equivalent binomial expansion, give the set of values of for which the Maclaurin series is valid. SOLUTION . State the range of validity for this series. (ii) LESSON 5 0 6 −− 18 1813 1 3 33 545413 1 3−− 0 54 −− 96 9612 1 2 33 28828813 1 3−− 0 288 0 0 2!2! 0 3!3! 0 ⋯ ⋯ ! 0 ⋯ 1 6 36 4 288 6 16 1 6 9 48 48 1 < 3 < 1 → < < ln11 1 1 1 0 ln11 0 0 1 0 1 01 1 10 1 2 20 1 020 1 6 0 661 60 P a g e | 65 1 24 0 241 240 0 0 2!2! 0 3!3! 0 ⋯ ! 0 ⋯ ⋯ 1 0 2!2! 2 3!3! 6 4!4! 2424 5!5! ⋯ ⋯ 2 3 4 5 ⋯ ln1 0 ln1 0 1 1 10 1 1 0 1 1 10 1 10 1 2 20 1 20 6 0 6 6 1 1 0 24 024 24 1 1 0 0 0 2!2! 0 3!3! 0 ⋯ ! 0 ⋯ ⋯ 0 2!2!⋯2 3!3! 6 4!4! 2424 5!5! 2 3 4 5 ln 11 ln1 ln1 2 3 4 5 ⋯ 2 3 4 5 2 23 25 1 < < 1 +− 3 14 2 3 33 12 1 ln3 ln 11 212 1 2 1 2 1 221.0296 3 2 5 2 (ii) P a g e | 66 INTRODUCTION Maclaurin’s Series is: 0 0 2!2! 0 3!3! 0 ⋯ ⋯ ! 0 ⋯ ⋯ For Taylor’s Series, we let 2!2! 3!3! ⋯ ⋯ ! ⋯ 1. 2. The function The function has to be infinitely differentiable has to be defined in a region near the value Furthermore, replacing with . we get 2!2! 3!3! ⋯ ⋯ ! ⋯ ⋯ = !! – ln 3 3 LESSON 1 Find the first three non terms of the Taylor expansion of SOLUTION zero . LESSON 2 + Find the first four non – zero 1 + 3 3−− 31 3 1 14 313 1 161 323 1 321 363 1 1283 terms for the Taylor expansion of . with centre ln ln 3 3 → 3 ln1 3 ln1 3 3 3 1 3 19 2!2! 3!3! ⋯ ! ⋯ ln 3 3 ln3 n3 13 19 2!2!1 2!2! ln3 n3 13 181 3!3! ⋯ ⋯ ! ⋯ ⋯ SOLUTION Let 1 3 3 14 161 1 1 321 2!2!1 1 1 1283 3!3!1 1 1 P a g e | 67 2 2 2 3 2 3 √ √ √ sin16 2 2√2 163 3 4 16 12 16 0.1920 14 161 1 1 641 1 1 2563 1 1 – sin LESSON 3 (i) Obtain the first four non zero terms of the Taylor Series expansion of in ascending powers of . (ii) Hence, calculate an approximation to SOLUTION sin 3!3! ⋯ ⋯ 2!2!! 4 sin √2 4 sin4 2 coscos 4 cos4 √22 s sin 4 sisin 4 √22 cos cos co s cos √2 4 2 sin √22 √22 √241 √22 2!2!1 4 2 3!3! 4 √22 √22 4√2√42 4 12 4 (i) let (ii) sin sin → 3 4 16 4 16 . P a g e | 68 BINOMIAL THEOREM At the end of this section, students should be able to: ∈ ℚ 1. explain the meaning and use simple properties of 2. recognise that that is, ! , ∈ ℤ and , that is, , is the number of ways in which where objects may be chosen from distinct objects; 3. expand for ; 4. apply the Binomial Theorem to real-world problems, for example, in mathematics of finance, science. P a g e | 69 PASCAL’S TRIANGLE INTRODUCTION For any positive integer : 1 111 1 11 2 2 1 1 11 3 3 3 3 1 1 11 4 4 6 6 3 3 1 1 ! 1 1 2 2 3 3 … 321 8! 8×7× 8× 7×6×6×5×5×4×4×3×3× 2×1 2× 1 0!0! !! FACTORIALS For example, Is defined as 1. LESSON 1 Simplify SOLUTION ! 9!9!6!6! 9×8×7×6×5×4×3×2×1 6×5×4×3×2 6×5×4 9 ×3×2 × 8 × 7 ×1 504 !! 2 2! ! 2 2! 1 1 2 2 3 3 … 321 2 2! 11 2 2! 2 2! 2 2! 1 1 1 2 2! 11 −−! − −! 72 13 13 24 24 35 35 …… 332211 72 1 1 2 2 72 LESSON 2 Simplify SOLUTION LESSON 3 SOLUTION Solve the equation . PASCAL’S TRIANGLE 1 1 1 1 1 1 2 1 3 4 3 6 1 4 1 3 3 2 7272 3 3 70 0 10 10 7 7 0 10 7 since LESSON 4 in invalid Show that 1 2 2! 31 31! 32 3! 1 2 2! 3131! 3 3332 2! 31 31! 33 33! 3131! 3331! 1 3 32 3! SOLUTION P a g e | 70 LESSON 5 + +!! (a) Express and in the form are integers. + +! + +! , where (b) Hence find 1 = 2 2!! + + !! + + ! + + ! SOLUTION (a) 11 11 212!! 2 2 2 2 1 1! 2 2! 1 1 2 2 1 2 1 2 1 1 1 1 1 2 2!! 1 1! 2 2! 1 1 1 = 2 2!! = 11! = 2 2! 1: 2!2!1 3!3!1 2: 3!3!1 4!4!1 3: 4!4!1 5!5!1 Equating coefficients of : Equating constants: (b) 1: !1 11 1! : 11 1! 21 2! 1 1 1 = 2 2!! 2 2 2! P a g e | 71 THE BINOMIAL THEOREM INTRODUCTION We now look at an alternative to Pascal’s Triangle using!Factorials. ! !! For any positive integer : = − 0 1 − 2 − 3 − ⋯ 1 1 − 32 3 2 LESSON 1 Determine the expansion . 32 3 25 5 5 5 5 5 0 3 1 3 22 2 322 3 3 22 43 22 5 22 243810 24243 581811080 22 101072 2727720440 24 240101009883232 531616 13232 2 3 3 23 2 3 5 0 105 2 23 3 1959552 2522523232243 13 1 32 13 1 3 16 1 6 9 2 64 2 65 2 66 60151541 16262 1 6 960 1 6 9…60 …60 1 12 172 6 12 12 6 0 54 72 540 0 469469 SOLUTION LESSON 2 Find the 6th term of the expansion SOLUTION The 6th term of the expansion begins with LESSON 3 . occurs when since the summation index . Find the coefficient of in the expansion of SOLUTION We only need the terms which will result in a term after multiplication. We isolate the multiplications which would create an term. . P a g e | 72 LESSON 4 Find the term independent of in the expansion 3 . SOLUTION 86 33 121 28286399 64 16 The term independent of : 1 11 2!2! 1 1 13!3! 2 2 ⋯ ⋯ 1 < < 1 1 1 1 1 2!2! 1 1 13!3! 2 2 ⋯ ⋯ 1 < < 1 → < < 12 1 2 12 1 23 11 2 23 3 1 3 3 3 1 1 2 22 2 2 121 22 2 2 12 2321 22 1 3 32 12 12 4 32 12 12 312 8 13 1 3 32 12 1 < 2 < 1 12 < < 12 For any real number provided that LESSON 1 SOLUTION Find the binomial expansion of up to and including the term in . P a g e | 73 LESSON 2 Find the first three terms of the expansion of SOLUTION − . 423 423 2 3−− 421 421 32 − 424 2− 11 32 − − 3 21 21 2 3 1 3 221 11 2 1111 11 21 2 212 1 32 94 ⋯ ⋯ 23 2 3 92 + ++ + + + + ++ + 9 1 25 2 5 + ++ + + + 99 2225 25 5 1 5 2 0 5 3 9 69 3 6 1 2 5 5 1 25 +331 −− 33331 11 11 1111 11 211 1111 1112 12 3121 33 3 3 3 3 3 LESSON 3 (i) Express in the form where (ii) Hence, or otherwise, find the expansion of including the term in . (iii)Find (iii) Find the range of values of SOLUTION (i) Equating constants: Equationg coefficients of : (ii) and are integers. as a power series in ascending order up to and for which the series expansion of P a g e | 74 625 6625 2 55−− − 621 21 2 − 62− 11 −52 31 31 52 5 1 5 1 5 31 31 511 252 1251111 11 21 2 1111 1112 12 321 2 313 115 2 754 3758 33 2 4 8 31 256 933 3 363 3 33513 3 152 754 3758 2 4 8 1 < < 1 1 < < 1 → < 2< 2 5 < < 5 √1 √82 √1 11 11 14 14 14 1211 14 14 114 23211 11 14 323 1287 82 8 1 1 181 1 81 811 811 811 1 81 11 81 (iii) Valid for LESSON 4 and Use the expansion of SOLUTION This works for small . to setimate to four decimal places. P a g e | 75 1 31 31 81 1 1 3 1 7 1 331 4 81 32 81 128 81 31.1.003 3.009 16 186 6 8 6 LESSON 5 (a) Find the binomial expansion of √144 1 6 6 14 11 4664 1 66 86 8 6 8 1 8 11 68 4141 618 4141 4118 418 42 4 2 4 81441446 121122 12 6 24 3 √144≅ 4223 14 23 ≅ 479 (b) Find the binomial expansion of (a) (b) (c) . up to and including the term in (c) Hence, find an estimate for the the value of SOLUTION up to and inclusing the term in in the form where and . are integers. P a g e | 76 ROOTS OF EQUATIONS At the end of this section, students should be able to: 0 1. test for the existence of a root of where f is continuous using the Intermediate Value Theorem; 2. use interval bisection to find an approximation for a root in a given interval; 3. use linear interpolation to find an approximation for a root in a given interval; 4. explain, in geometrical terms, the working of the Newton-Raphson method; 5. use the Newton-Raphson method to find successive approximations to the roots of , where is differentiable; differentiable; 6. use a given iteration to determine a root of an equation to a specified degree of accuracy. 0 P a g e | 77 ,, 0 2 2 1 1 1 2 21 1 1 1 11 2 2 2 22 2 2 1 1 1 ×× 2 1 , THE INTERMEDIATE VALUE THEOREM If in is a continuous function on the closed interval such that . LESSON 1 and the product < 0 then there exists Use the Intermediate Value Theorem to show that has a root between 1 and 2. SOLUTION is a polynomial and therefore continuous on the By the Intermediate Value Theorem there must be some root between 1 and 2. 1 3 4 4 1 0 3 4 4 1 0 1 1 31 4 41 1 1 6 interval ∈ 1,1, 2 such that 0 1,1, 2 . Therefore there is a LESSON 2 Use the Intermediate Value Theorem to verify that there is a root of the equation between 0 and 1. 3 4 4 SOLUTION Let 0,0, 1 0 ×× 1 6 ∈ 0,0, 1 0 is a polynomial and therefore continuous on the interval By the Intermediate Value Theorem there must be some root between 0 and 1. . such that . . Therefore there is a P a g e | 78 DETERMINING THE ROOTS OF AN EQUATION 3 3 1 LESSON 1 Given that has a root between 2 and 3, find this root to 1 decimal place using the bisection method. LESSON 1 Use Linear Interpolation, twice over, to determine the root of the equation in the interval . 3 3 1 3 3 1 3 3 1 0 SOLUTION SOLUTION 3 3 1 1 3 3 1 0 3 3 1 2 2 3 32 2 2 1 33 3 3 3 33 3 3 1 2 – 2.2.5 2.5 3 3 2.2.5 2.2. 5 1 1.1. 625625 – 2.2.755 2.75 3 32.2.755 2.2.7575 1 0.140625 – 2.2.87575 2.875 3 3 2.2.87575 2.875 1 0.8418 2.75 – 2.2.8125125 2.8125 3 3 2.2.8125125 2 2.8125 1 0.33 2,2, 3 Let Mid point of interval is 2.5 Since there is a sign change between 2.5 and 3 the root occurs within this interval. We therefore now bisect this interval. Mid point is 2.75 Due to sign changes the root must be in the interval 2.75 and 3. Mid point is 2.875 Due to sign changes the root is between 2.875 Mid and point is 2.8125 3 3 1 2 2 3 32 2 2 1 3 3 3 3 33 3 311 2 23 33 2 2 2 2 2 33 2 4 9 3 5 1313 5 2.6 Let Using similar triangles Therefore root lies between 2.75 and 2.8125 and since to 1 decimal place both limits are the same the root is approximately 2.8. 13 13 13 5 5 3 3 5 135 1 1.1. 1 P a g e | 79 21.1 32.2. 6 2 2.2. 6 1.13 2 5.5.2 3.3.3 1.1.11 3.1 8.5 2.74 INTRODUCTION 44 10900900 0 – LESSON 1 The equation has exactly one real root, . Taking as the first approximation to , use the Newton Raphson method to find a second approximation, , to . Give your answer to four significant figures. 4 4 900900 3 2 2 4 10 49000 1010 1031010110024241011010090 1010 28440 9.859 2 5 5 3 3 13 0 – 1<<2 2 51.55 3 3 13 0 1,1, 2 5 3 2 5 3 1 3 12 2215 552513 33231311313 13 2929 33 1 ×× 2 < 0 1,1,2 2 5 5 3 3 13 1.56 1 10 3 1.1.5 1921.1.561.15.551.1.51010 31.1.351.1.53 13 13 1.1.5 63 SOLUTION Let LESSON 2 The equation has exactly one real root . (i) Show that lies in the interval . (ii) Using the Newton Raphson method with initial estimate to estimate the root of the equation in the interval , correct to 2 decimal places. SOLUTION (i) Let Since , by the Intermediate Value Theorem there is a root in the interval (ii) P a g e | 80 1.1984 1.1984984 21.1.198498461.1.1598498451.1.110984984101.13.198498431.1.19849843 13 1.1.114679840.0516 1.1467 21.1.1467467 5 51.1.1467467 3 31.1.1467467 13 10 6 1. 1 . 1 467 467 10 1. 1 . 1 467 467 3 1.1984984 0.001357 01357 1.1453 1.15 + + 2 4 4 1 0 1.2 Since and correct to 2 decimal places are both equal to 1.15, . DERIVING AN ITERATIVE FORMULA EXAMPLE 1 Show that is an approximate iterative formula for finding the root of . Apply the iterative formula with initial approximation , to obtain an approximation of the root to 2 decimal places. SOLUTION 2 4 4 1 0 2 4 1 42 1 42 1 + 421 1 1 41.1.22 1 1 1.2386 41.1.23863862 1 1 1.2551 41.1.25515512 1 1 1.2621 1.26 Therefore, the approximation is decimal places. correct to 2 P a g e | 81 MATRICES At the end of this section, students should be able to: 1. 2. 3. 4. 5. 6. ×× 2,2, 3 reduce a system of linear equations to echelon form; ; row-reduce the augmented matrix of an system of linear equations, determine whether the system is consistent, and if so, how many solutions it has; find all solutions of a consistent system; invert a non-singular matrix; solve a system of linear equations, having a non-singular coefficient matrix, matrix, by using its inverse. 3×3 3×3 P a g e | 82 MATRICES A matrix is a rectangular array of elements enclosed in brackets. A matrix is defined: number of rows × Two matrices are equal if they contain the same corresponding elements. The addition and subtraction of matrices is only possible if the matrices are of the same size. number of columns (this is the size/order of a matrix). A square matrix contains the same number of rows and columns. o Matrix addition is commutative and associative. Two matrices can be multiplied if the number of columns in the first matrix is equal to the number of rows in the second. o Matrix multiplication is not commutative but it is associative. 2 × 2 10 01 3 × 3 11 1 222 311 210 111 101 − The identity matrix for LESSON 1 (i) find If matrices is and for matrices it is 100 010 001 and (ii) deduce SOLUTION (i) (ii) 11 1 222 131 210 111 101 1 2 2 2 1 1 1 0 1 1 1 2 1 1 1 1 1 1 2 2 0 1 1 1 11122222211113300 111111122211 13 1311 11111222200 13 1311 4 0 0 00 40 04 −4 14 2 1 1 − 10 11 01 Therefore . P a g e | 83 × (i) ℎ ℎ ℎ ||| 0 | ||| | ||| 0 ||| × | | ∈ ℝ | ||| ||| | | | | 0 – det− 311 121 213 – INTRODUCTION The determinant of is . o If the matrix zeros then contains a row with ALL . o For square matrices o If o . contains two identical rows or columns then . Interchanging two rows or columns of a matrix changes the sign of the determinant. o For , where is a matrix. o If a row or a column of a matrix is multiplied by a constant, , then the determinant of the matrix is multiplied by . o Adding a multiple of one row to another does not affect the determinant. o o 11 21 | 323| 13121 13111311 11312 2 1 1 1 2 11335 1 12 2 211 | | ≠ 0 – 2 31 14 20 3 22 310 143 0 2 10 43 32 4312 10 0 26393 32334 2810122 0 9 3232 9 36 61 105 925 SOLUTION (ii) Since LESSON 3 , is non singular. Find the value of for which the matrix is singular. SOLUTION LESSON 4 Determine by factoring. A square matrix is singular if SOLUTION otherwise it is non be obtained by factorizing the matrix. This is done singular. o LESSON 2 The matrix is given by . (i) Find the value of the determinant of (ii) State, giving a reason, whether or non singular. . is singular The determinant of a matrix can by factoring out the common factor from each row or column. 3 213 621 1055 1 6 3 35523 21 01 factoring out 3 from factoring out 5 from To find the determinant it is easier to use the elements of because it contains a zero. 1515 3 232 12121 16 1515377 1313 120 31 3 112 221 | || 5 , – 6 4 4 1 9 3 1 6 3 5 5 9 4 26 81 5 7 9 3 1 6 54 26 2 2 3 3 2 3 3 2 ||| 1 1 213 213 1 51122 11212 1 19 ||| 4 69 38 2575 38 1575 69 4436590 90 2 241 41 187 87 55 16 52 46 4 2 1 16 52 46 57 9 6 38 567 6788 249 5×4 320 The transpose of a matrix is created by interchanging the rows and columns. The LESSON 5 The matrix . transpose of a matrix is denoted . o (i) Show that (ii) Matrix and . is changed to form new matrices . Write down the determinant of EACH o A square matrix is symmetric if o A square matrix is called skew symmetric is . . of the new matrices, giving a reason for your For example, if answers in EACH case. (a) Matrix is formed by interchanging column 1 and column 2 of matrix and then interchanging row 1 and row 2 of the resulting matrix. (b) Column 1 of matrix then LESSON 6 by and is formed by adding column 2 to column 1 of matrix . The . other columns remain unchanged. (c) Matrix The matrices is formed by multiplying each element of matrix Calculate by 4. SOLUTION (a) the determinant of (i) (b) SOLUTION (ii) (a) interchanging columns will change the (a) sign of the determinant to 5 and then interchanging the rows will change the sign of the determinant to (b) The determinant remains as . (b) since adding a multiple of a row does not affect the determinant. (c) Since each element is multiplied by 4 the value of the determinant is and are given 2×2 ±1 | | | , ∆ ||| If then , are called the minors of and , and respectively. A minor of an element is obtained by deleting the row and column containing that element and finding the determinant of the matrix which remains. The cofactors of a matrix are determined by multiplying the minor by in the following order Step 1: Find the determinant of the matrix Determinant of , det , The elements of any row or column can their corresponding cofactors can be used to determine ||| ( ) the determinant. i.e. using the first row and its corresponding cofactors. Step 2: Write the matrix, say Step 3: Write the matrix, the adjoint of ( adj) , of cofactors. . This matrix is called − || adj Step 4: Use the relation to find − 104 111 132 104 111 132 ||| 11 111 324111 13 13155 4 422 11111 312 1041 321 1041 111 111 12 141 12 141 11 (5 1123 4 0 3 0 1) 3 263 31 5124 363 231 5 3 2 1 − 3 124 36 31 . LESSON 7 SOLUTION Let Find the inverse of 3×1 1 0 3 73 52 01 – − 10 128 ||| 1 52 01 073 01373 52 1215 3 311 520 013 173 301 731 520 02 31 31 13 13 02 ( 55 0 7 117 0 7 5 ) 156 821 25 75 86 2115 11 5 26 515 − 2 71 82 215 − − 1−5 6 15 10 2 71 82 215 128 1521 2188 1 2 1751710101011010066121282281211212215 5 8 12 226 113 LESSON 8 and are are related by the equation is non Find (a) (b) , when SOLUTION (a) (b) singular. matrices and , where LESSON 9 Solve the equations 4 554519129 5 5 2020 , 1 5 5 2 41 55 41 2019 1 −15 30 45 − 150 28 5 06 2156 − 1501 158 306 4516 192 1 23005 0 2 5 20 150 450450 23 3 SOLUTION Step 1: Write the system in the form where and are matrices Step 2: Find Step 3: Multiply both sides of equation by This equation is said to be consistent since it has a solution. → 104 111 132 100 100 001 1 1 1 1 0 0 4 4 → 00 13 36 04 10 01 – → 10 11 1310 10 00 0 13 0 6 24 10 11 0 → 00 31 36 04 10 01 3 × 3 1 3 1 0 2 1 1 0 3 → 0 1 3 0 1 0 00 10 1 1 1 00 0 23 14 31 01 10 1 3 → 00 10 31 043 11 013 000 1 1 0 1 0 2 4 2 1 3 3 → 0 1 0 4 1 – 0 0 1 53 1 32 1 1 0 0 3 2 2 → (00 10 0144 21 131) 3 3 → 10 5 3 2 1 − ℎ 0 ℎ 3 124 36 33 The following elementary row operations can be performed on a matrix. - The interchanging of rows - The multiplication of a row by a non zero scalar. - The adding of the multiple of a row to another row. These operations can convert a matrix (or any other matrix) to row echelon form or This can be done by 1. Beginning with the left most column and use row operations to make the first element in this column a 1 and the elements below it zeros. 2. Ignore the row and the column with the 1 created from step 1 and repeat step 1 on 100 ℎ → 100 10 the remaining matrix. 3. Repeat this process until the desired matrix is obtained. 1 0 11 13 4 12 LESSON 10 SOLUTION Find the inverse of A system of equations can either be consistent or inconsistent. A consistent system can have a unique solution infinitely many solutions. An inconsistent system has no solution. . The use of row reduction greatly assists in To obtain the inverse of a matrix −| | | 104 111 132100 010 001 we can use row operations to convert the augmented matrix to . determining the consistency of a system of equations. An upper triangle matrix unique solution. 10 1 0 0 1 indicates a 100 10 00 100 10 0 3 333 4 2 2 6 Matrices of the form Since the system has a unique solution it is said to infinitely many solutions. Matrices of the form solution. LESSON 11 be consistent. indicate no A system of three equations is (i) Write the augmented matrix for the system. (ii) Use row reduction to solve the system of equations. 1 0 11 1333 41 11 12 36 04 11 3236 3 1 1 1 → 04 11 32 36 4 4 → 100 131 136 363 1 1 1 3 → 00 31 36 63 → 001 310 362 603 1 0 2 0 3 3 → 00 10 3333 13 → 010 100 321 103 : 3 13 3 3 3011 3 2 2 3 SOLUTION (i) (ii) From From : : : From : 2 211 20 indicate LESSON 12 Determine the general solutions of the system of equations. 22222 343 2 4 2 8 11 22 12 34 2 4 21 82 2 3 → 02 44 32 78 1 2 2 3 2 2 → 00 48 36147 14 → 10 212 234374 0 81 62 142 3 8 8 → 00 10 034 740 0 0 0 0 SOLUTION The row of zeros indicates that , therefore we can use a parameter for one of the variables and express the other variables in terms of this parameter. Furthermore, the row of zeros indicates that the system has infinitely many solutions. 343 774 43 47 4 4 Let From row 2: From row 1: 2 23 2 7 3 23 4 7 4 2 3 2 1 2 1 2 3 2 2 1 1 1 0 1 0 Therefore, if we say that and So then . would be one solution for the system. LESSON 13 Discuss the solutions of the given 4 8 3 33 410 2 2 2 13 2 132 121 410 4 1 1 1 Interchange and → 3 2 32 21 10 1 1 1 4 3 2 3 → 0 6 4 2 0 0 0 22 8 04 0 0 8 44 4 08 0 0 8 8 0 equations when (i) (ii) SOLUTION (i) When , we have This result indicates that when , the system of equations is inconsistent and has no solution. (ii) When , we have that This result indicates that when 8 , the system of equations has infinitely many solutions. 66 44 2222 113 23 11 2 44 31 13 4 3 3 Let From : From : DIFFERENTIAL DIFFERENT IAL EQUA EQUATIONS TIONS At the end of this section, students should be able to: 0 a, ,, ∈ ℝ 1. solve first order linear differential equations using an integrating factor, given that is a real constant or a function of , and is a function; 2. solve first order linear differential equations given boundary conditions; 3. solve second order ordinary differential equations with constant coefficients of the form , where and is: (a) a polynomial, (b) an exponential function, (c) a trigonometric function; and the complementary function may consist of (a) real and distinct root, (b) 2 equal roots, (c) 2 complex roots; 4. solve second order ordinary differential equation given boundary conditions; 5. use substitution to reduce a second order ordinary differential equation to a suitable form. DIFFERENTIAL EQUATIONS A differential equation is an equation which contains derivatives of a function or functions. For a first order differential equation the highest derivative is the first derivative. For a second order differential equation the highest derivative is the second derivative. sin where The solution of this type of equation can be achieved by separating the variables and integrating both sides of the equation with respect These solutions are called general solutions of the differential equation because the value of the constant is unknown. to the relative variables. LESSON 3 LESSON 1 SOLUTION 5 3 Solve the differential equations 53 3 55 3 3 55 3 3 2 53 3 103 6 coscos tan cost o s t a n 1tan coscos ln cossin coscos lnsisin sisin+ sisin LESSON 2 SOLUTION Solve the differential equation Find the particular solution of the csc 4,4, 1 cscsc;c1 ; 3 when 4 csc1 − csc sisin − coscos 1 1 cos1 31 4 1 2 14 1 → 4 coscos 4 differential equation when SOLUTION . INTRODUCTION ∫ Linear differential equations of the form can be solved by multiplying throughout by the Integrating Factor, LESSON 4 . Solve the following differential 3 3 7 3 7 . ∫3 . ∫− − − − 3 3− 7− − 3 3− 7− 27 equations SOLUTION Step 1: Write the DE in the form Step 2: Calculate the I.F using Step 3: Multiply each term in the equation by I.F L.H.S resembles the product rule where I.F is actually Step 4: Integrate both sides of the equation w.r.t. 72 cotcot 2 coscos 2 cotcot 2 coscos cotcot cos cotcot sin lnsin . sicoscosn sin s sin.n . sin . 2sincn cos sin cos cos 2c2 cosss sin si nsinsin csc + + 1 1 2 2 sin2 sin2 2 1 1 s1in cs csc LESSON 5 Solve the differential equation given that when . SOLUTION when LESSON 6 Determine the particular solution of the differential equation − 4 4 3 0 4 4 − 4 4 − given that SOLUTION when . I.F ∫ 4 4 − 4 4 − 3, 0 32 − 2 2 When 0 andand d 0 ,, are first and second order homogenous equations where and are constants. The solution of these equations is called the complementary function (C.F). LESSON 7 5 2 2 1 5 2 1 5 2 5 ln 25 + SOLUTION 5 2 2 0 Solve the differential equation In general, the solution (complementary function) 0 − of a first order differential equation is of the form is Auxiliary Quadratic Equation Given the equation 0 If the auxiliary quadratic equation has a repeated root , , The complementary function is determined by the is the general solution of the differential equation. roots of the nature of the roots of the quadratic auxiliary equation which is 0 5 5 4 0 5 5 4 4 0 51,15,4 4 0 LESSON 8 Solve the equation SOLUTION Auxiliary equation If the auxiliary quadratic equation has real and distinct roots, and then 2 2 5 5 0 2 2 5 5 0 212± 25 0 cos cos22 sin 22 ± cos cos s sin LESSON 10 SOLUTION Auxiliary equation If the auxiliary quadratic equation has complex roots of the form , is the general solution of the differential equation. is the general solution of the differential equation. 4 4 4 0 4 4 4 0 4 41 4 1 0 2twicee LESSON 9 Solve the equation SOLUTION Auxiliary equation Solve the equation Non – – – , ≠ 0 homogeneous first order and second order differential equation are of the form The particular integral is any solution of these types of differential equations. is a Polynomial 5 5 6 → → 0 0665 5 5 66 6 11 6 55 6 5 6 0 36 LESSON 11 SOLUTION Solve the equation It seems sensible to think that the solution is of the form Substituting into original equation So is a solution of the given equation, but it cannot be the complete solution since it does not contain any arbitrary constant. However, it must be part of the complete solution, and is called a particular integral (P.I). The remainder of the solution can be found by considering the 5 5 6 0 16 365 simpler differential equation 4 4 3 2 2 1 4±24 0 − SOLUTION Auxiliary equation C.F: Particular Integral: → 22 → 2 24 4 44 4 22 4 3 3 22221 1 1 4 3 → 341 4 2 → 2 5 2 4 1 → 8 − 34 12 58 Substituting into original equation P.I is General solution: is a Trigonometric Function whose solution is LESSON 13 Thus the complete solution is differential equation which is the combination of the complementary SOLUTION function and the particular integral. LESSON 12 4 4 3 2 2 1 Solve the differential equation Find the complete solution of the 4 5 5 cos sisi n 4 5 5 cos s sin 44 51 1511 10 0 sisi n cos Auxiliary equation Trial Solution 14 , 1 cos cos s sinn sin coscos coscos sisin cos csos sisinsinncoscos5sisisnin c 4co cos 44 5 5 coscoscosos sisi44n5 5 sin 333 5 55 11 1741 17 174 coscos 171 sin 174 coscos 171 sisin C.F is Substituting into original equation Particular Integral is The complete solution is LESSON 14 (i) Solve the D.E 4 4 3 65sin2 3, 7 when 0 (ii) Hence, find the particular solution for which SOLUTION Auxiliary equation 41,4 33 0 − − sisi n cos sisi n 2 coscos 2 22 coscos 2 2sin2 44sisin 2 4cos2 334sisisinn22 4co cos2 4cos s 2 4 2 c o s 2 2si 2si n 2 cos2 6565 sisin 2 C.F is Trial Solution Substituting into original equation 465si4 8 n82 33 sin2 44 8 8 33 cos2 88 8 si65n2 88 coscos 2 65sisi65 n 2 8 0 → 1si& n 2 8 8 coscos 2 − − sisi n 2 8 cos 2 7 0, 3, − −− sisi−n 2 8 cos 2 3 2 2 coscos 2 16sin 2 3 33 8 sisi n0 8co 8coss0 11 3 77 3 332 2co 2coss0 16si16sin0 3 3 9 Particular Integral is General solution is When 3 3 119 → 10 & 21 21− 10 10− s sin2 8 cos 2 2 2 10 10 26 5 11 0 2222±1010240411010 21 1 ± 3 −cos cos33 sin 33 Particular Solution is is an Exponential Function LESSON 15 Solve the differential equation given that and when your answer in the form . SOLUTION Auxiliary equation: Complementary function: Particular Integral: . Give 53 cos cos00 sin 0 2 11;11; 0 −cos cos33− sin 33 2 33 sisin 3 3cos3 3cos3 cos 3si 11111 cos0 0 s i n 0 3si n 03cos0 03cos0 2 1 3 1 1 3 3 2 2 12 43 −3 cos 3 4 sisin 3 2 2 2 3 3 22− → 0 → ∞ 3 0 32 3231 10 0 1,1, 3− − − −− − LESSON 16 Solve the differential equation given that as and that when . SOLUTION Auxiliary equation: Trial Solution Both the trial and the original have the same form. Coefficients differ. 2 2 10 10 26 26 13 22 −cos cos33 sin 33 2 5; 0 General solution: Particular solution: C.F: In this case, the particular integral would be of the form but since this is already included in the complementary function we have to use . Trial Solution Both the trial and the original have the same form. Coefficients differ. − − − − − 2 4 2 2−− 2−− 2− − 3− 2− 4 12 2 12 − − 12 − →→ ∞0 − →→∞0 3 0 → 0:0: 0 3,3, 0 0 − 12 − 12 − 3 5 12 12 0 2 52 − 12 − LESSON 17 (i) Show that by using the substitution may be written in the form Particular Integral: (ii) Find the general solution of General Solution: as and that Therefore we have From general solution ( Particular solution: and hence find the general solution of when : ): 2 2 2 2 2 2 2 2 differential equation SOLUTION (i) × 1 × 2 2 1 1 1 2 2 2 2 2 0 2 (ii) Auxiliary equation: Complementary function: Particular Integral Let , the ∴ 2 2 2 22 21 1 2 12 2 0 14 1 → 1 1 12 14 1 4 24 2 1 4 24 2 1 ≠0 2 233 1 3 33 2 2 18 6 6 9 18 2 233 1 3 33 2 2 18 Particular Integral: Complete solution: LESSON 18 It is given that the differential equation (a) Show that the substitution this differential equation into , satisfies transforms (b) Hence find the general solution of the differential equation giving your answer in the form SOLUTION (a) . 2 2 23 1 1 3 333 2 18 6 6 2 2 9 9 6 6 1818 2 2 6 99 1818 6 6 9 9 1818 6 6 9 0 3,3 − 0 0 66 9 18 6 9 9 9 9 18 9 18 2 6 9 0 9 124 3 2 43 (b) Auxiliary equation Complementary function: Particular Integral Let − 2 2 − 2 2 43 − 2 34 General solution: (b) LESSON 19 , > 0,0, > 0 2 4 2 2 88 1 1 12 12 12 4 4 3 3 88 1 1 12 12 12 × 12 − → 2 2 2 (a) Given that function of , show that: and is a (i) (ii) (b) Hence show that the substitution transforms the differential equation into (c) Hence find the general solution of the differential equation giving your answer in the form SOLUTION (a) (i) Now, (ii) − 2 2 − 2 2 2 2 4 4 88 1 1 12 12 12 8 8 1 1 12 12 4 2 2 8 8 −2 12 12 4 2 16 2 12 12 1212 4 16 16 12 12 1212 4 4 3 3 3 4 4 3 0 1,1, 3 0 0 44 3 3 44 3 3 3 3 33 3 3 1 44 3 3 0 4 3 0 3 4 . (c) Auxiliary equation Complementary function: 43 43 , 4 3 General Solution: Since LESSON 20 (a) A pond is initially empty and is then filled 5√41 5 5 gradually with water. After depth of the water, minutes, the metres, satisfies the differential equation Solve this differential equation to find terms of . in (b) Another pond is gradually filling with water, after minutes, the surface of the water forms a circle of radius metres. The rate of change of the radius is inversely proportional to the area of the surface of the water. (i) Write down a differential equation, in the variables and and a constant of proportionality, which represents how the radius of the surface of the water is changing with time. (You are not required to solve your differential equation.) (ii) When the radius of the pond is 1 metre, the radius is increasing at a rate of 4.5 metres per second. Find the radius of the pond when the radius is increasing at a rate of 0.5 metres per second. SOLUTION (a) √+ + + 1√45 51 1 45 4 5− 15 1 −− 45 4551 15 1 −− 2 25 √4 5 15 1 1 0, 0 25 4 50 15 1 1 0 12 1 1 5 √4 5 5 1 1 5 11 √4 5 2 2 1 4 5 52 211 5 52 211 4 4 15 52 211 45 9 1, 4.5 29 1 2 9 2 29 When (b) (i) (ii) When 12 29 39 LESSON 2 The number of bacteria in a liquid culture is observed to grow at a rate proportional to the number of cells present. At the beginning of the experiment there are 10,000 cells and after three hours there are 500,000. How many will there be after one day of growth if this unlimited growth continues? What is the of the bacteria? SOLUTION 1 ln1 + 0, 50050 000 10 000 ln50 1ln350 ≅ 1.304 103 000. 22 .. ln2 ln1.2304≅ 0.532 hourhourss 1.304 Let represent the number of bacteria present at time . Then the rate of change is where is the constant of proportionality where When Also, Therefore, (initial population) Using the information from the problem we now determine Doubling time refers to the amount of time for the bacteria to double in number from its original number.