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Olevel Add Math Formulae and Notes

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New Additional Mathematics: Cheat Sheet
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New Additional
Mathematics:
Cheat Sheet
For O Levels
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1. Sets
A null or empty set is donated by { } or πœ™.
P = Q if they have the same elements.
P ⊇ Q, Q is subset of P.
P ⊆ Q, P is subset of R.
P ⊃ Q, Q is proper subset of P.
P ⊂ Q, P is proper subset of Q.
P β‹‚ Q, Intersection of P and Q.
P ⋃ Q, union of P and Q.
P’ compliment of P i.e. ∈-P
2. Simultaneous Equations
−𝑏 ± √𝑏 2 − 4π‘Žπ‘
π‘₯=
2π‘Ž
3. Logarithms and Indices
Indices
1. π‘Ž0 = 1
1
2. π‘Ž −𝑝 =
1
𝑝
π‘Žπ‘
𝑝
3. π‘Ž = √π‘Ž
𝑝
π‘ž
π‘ž
4. π‘Ž = ( √π‘Ž )
𝑝
5. π‘Žπ‘š × π‘Žπ‘› = π‘Žπ‘š+𝑛
6.
π‘Žπ‘š
π‘Žπ‘›
= π‘Žπ‘š−𝑛
7. (π‘Žπ‘š )𝑛 = π‘Žπ‘šπ‘›
8. π‘Žπ‘› × π‘ 𝑛 = (π‘Žπ‘)𝑛
9.
π‘Žπ‘›
𝑏𝑛
π‘Ž 𝑛
=( )
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Logarithms
1. π‘Ž π‘₯ = 𝑦 ≫ π‘₯ = π‘™π‘œπ‘”π‘Ž 𝑦
2. π‘™π‘œπ‘”π‘Ž 1 = 0
3. π‘™π‘œπ‘”π‘Ž π‘Ž = 1
4. π‘™π‘œπ‘”π‘Ž π‘₯𝑦 = π‘™π‘œπ‘”π‘Ž π‘₯ + π‘™π‘œπ‘”π‘Ž 𝑦
5. π‘™π‘œπ‘”π‘Ž
π‘₯
𝑦
= π‘™π‘œπ‘”π‘Ž π‘₯ − π‘™π‘œπ‘”π‘Ž 𝑦
6. π‘™π‘œπ‘”π‘Ž 𝑏 =
7. π‘™π‘œπ‘”π‘Ž 𝑏 =
π‘™π‘œπ‘”π‘ 𝑏
π‘™π‘œπ‘”π‘ π‘Ž
1
π‘™π‘œπ‘”π‘ π‘Ž
𝑦
8. π‘™π‘œπ‘”π‘Ž π‘₯ = π‘¦π‘™π‘œπ‘”π‘Ž π‘₯
9. π‘™π‘œπ‘”π‘Žπ‘ π‘₯ = π‘™π‘œπ‘”π‘Ž π‘₯
1
𝑏
10. log 𝑏 π‘₯ = log 𝑏 𝑐log 𝑐 π‘₯ =
log𝑐 π‘₯
log𝑐 𝑏
4. Quadratic Expressions and Equations
1. Sketching Graph
y-intercept
Put x=0
x-intercept
Put y=0
Turning point
Method 1
x-coordinate: π‘₯ =
y-coordinate: 𝑦 =
−𝑏
2π‘Ž
4π‘Žπ‘−𝑏2
4π‘Ž
Method 2
Express 𝑦 = π‘Žπ‘₯ 2 + 𝑏π‘₯ + 𝑐 as 𝑦 = π‘Ž(π‘₯ − β„Ž)2 + π‘˜ by completing
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the square. The turning point is(β„Ž, π‘˜ ).
2. Types of roots of π’‚π’™πŸ + 𝒃𝒙 + 𝒄 = 𝟎
𝑏 2 − 4π‘Žπ‘ ≥ 0 : real roots
𝑏 2 − 4π‘Žπ‘ < 0 : no real roots
𝑏 2 − 4π‘Žπ‘ > 0 : distinct real roots
𝑏 2 − 4π‘Žπ‘ = 0 : equal, coincident or repeated real roots
5. Remainder Factor Theorems
Polynomials
1. ax 2 + bx + c is a polynomial of degree 2.
2. ax 3 + bx + c is a polynomial of degree 3.
Identities
𝑃(π‘₯) ≡ 𝑄(π‘₯) ⟺ 𝑃(π‘₯) = 𝑄(π‘₯) For all values of x
To find unknowns either substitute values of x, or equate coefficients of like
powers of x.
Remainder theorem
If a polynomial f(x) is defined by (x-a), the remainder is R =f(a)
Factor Theorem
(x-a) is a factor of f(x) then f(a) = 0
Solution of cubic Equation
I.
Obtain one factor (x-a) by trail and error method.
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II.
III.
4
Divide the cubic equation with a, by synthetic division to find the
quadratic equation.
Solve the quadratic equation to find remaining two factors of cubic
equation.
For example:
I.
II.
III.
IV.
V.
The equation π‘₯ 3 + 2π‘₯ 2 − 5π‘₯ − 6 = 0 has (x-2) as one factor, found by
trail and error method.
Synthetic division will be done as follows:
The quadratics equation obtained is π‘₯ 2 + 4π‘₯ + 3 = 0.
Equation is solved by quadratic formula, X=-1 and X=-3.
Answer would be (x-2)(x+1)(x+3).
6. Matrices
1. Order of a matrix
Order if matrix is stated as its number of rows x number of columns. For
example, the matrix (5
6
2) has order 1 x 3.
2. Equality
Two matrices are equal if they are of the same order and if their
corresponding elements are equal.
3. Addition
To add two matrices, we add their corresponding elements.
For example, (
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6
3
−2
−4
)+(
5
4
2
2
)=(
1
7
0
).
6
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4. Subtraction
To subtract two matrices, we subtract their corresponding elements.
For example: (
6
9
3
14
5
2
)−(
−5
−4
7
20
4
5
)=(
12
1
−4
−6
0
).
−6
5. Scalar multiplication
To multiply a matrix by k, we multiply each element by k.
For example, π‘˜ (
2
3
4
2π‘˜
)=(
−1
3π‘˜
2
6
4π‘˜
) or 3 ( ) = ( ).
4
12
−π‘˜
6. Matrix multiplication
To multiply two matrices, column of the first matrix must be equal to the
row of the second matrix. The product will have order row of first matrix
X column of second matrix.
π‘Ž 𝑏 𝑐 𝑑
2 4
3 2 1 4
For example: (1 3 ) (
) = (𝑒 𝑓 𝑔 β„Ž )
1 5 2 7
𝑖 𝑗 π‘˜ 𝑙
2 −1
To get the first row of product do following:
a = (2 x 3) + (4 X 1) = 10 (1st row of first, 1st column of second)
b = (2 x 2) + (4 x 5) = 24 (1st row of first, 2st column of second)
c = (2 x 1) + (4 x 2) = 10 (1st row of first, 3st column of second)
d = (2 x 4) + (4 x 7) = 36 (1st row of first, 4st column of second)
e = (1 x 3) + (3 x 1) = 6 (2st row of first, 1st column of second)
f = (1 x 2) + (3 x 5) = 17 (2st row of first, 2st column of second)
g = (1 x 1) + (3 x 2) = 7 (2st row of first, 3st column of second)
h = (1 x 4) + (3 x 7) = 25 (2st row of first, 4st column of second)
i = (2 x 3) + (-1 x 1) = 5 (3st row of first, 1st column of second)
j = (2 x 2) + (-1 x 5) = -1 (3st row of first, 2st column of second)
k = (2 x 1) + (-1 x 2) = 0 (3st row of first, 3st column of second)
l = (2 x 4) + (-1 x 7) = 1 (3st row of first, 4st column of second)
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7. 2 x2 Matrices
1 0
a. The matrix (
) is called identity matrix. When it is multiplied with
0 1
any matrix X the answer will be X.
π‘Ž 𝑏
π‘Ž 𝑏
b. Determinant of matrix (
| = π‘Žπ‘‘ − 𝑏𝑐
) will be = |
𝑐 𝑑
𝑐 𝑑
π‘Ž 𝑏
𝑑 −𝑏
c. Adjoint of matrix (
) will be = (
)
𝑐 𝑑
−𝑐 π‘Ž
π‘Ž 𝑏
d. Inverse of non-singular matrix (determinant is ≠ 0) (
) will be :
𝑐 𝑑
π‘Žπ‘‘π‘—π‘œπ‘–π‘›π‘‘
1
𝑑 −𝑏
=
(
)
π‘‘π‘’π‘‘π‘’π‘Ÿπ‘šπ‘–π‘›π‘Žπ‘›π‘‘
π‘Žπ‘‘ − 𝑏𝑐 −𝑐 π‘Ž
8. Solving simultaneous linear equations by a matrix method
π‘Žπ‘₯ + 𝑏𝑦 = β„Ž
π‘Ž 𝑏 π‘₯
β„Ž
≫≫ (
) (𝑦 ) = ( )
𝑐π‘₯ + 𝑑𝑦 = π‘˜
𝑐 𝑑
π‘˜
−1
π‘₯
π‘Ž 𝑏
β„Ž
(𝑦) = (
) ×( )
𝑐 𝑑
π‘˜
7. Coordinate Geometry
Formulas
π·π‘–π‘ π‘‘π‘Žπ‘›π‘π‘’ 𝐴𝐡 = √(π‘₯2 − π‘₯1 )2 + (𝑦2 − 𝑦1 )2
π‘€π‘–π‘‘π‘π‘œπ‘–π‘›π‘‘ π‘œπ‘“ 𝐴𝐡 = (
π‘₯1 + π‘₯2 𝑦1 + 𝑦2
,
)
2
2
Parallelogram
If ABCD is a parallelogram then diagonals AC and BD have a common
midpoint.
Equation of Straight line
To find the equation of a line of best fit, you need the gradient(m) of the
line, and the y-intercept(c) of the line. The gradient can be found by taking
any two points on the line and using the following formula:
π‘”π‘Ÿπ‘Žπ‘‘π‘–π‘’π‘›π‘‘ = π‘š =
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𝑦2 − 𝑦1
π‘₯2 − π‘₯1
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The y-intercept is the y-coordinate of the point at which the line crosses
the y-axis (it may need to be extended). This will give the following
equation:
𝑦 = π‘šπ‘₯ + 𝑐
Where y and x are the variables, m is the gradient and c is the y-intercept.
Equation of parallel lines
Parallel line have equal gradient.
If lines 𝑦 = π‘š1 𝑐1 and 𝑦 = π‘š2 𝑐2 are parallel then π‘š1 = π‘š2
Equations of perpendicular line
If lines 𝑦 = π‘š1 𝑐1 and 𝑦 = π‘š2 𝑐2 are perpendicular then π‘š1 = −
−
1
π‘š1
1
π‘š2
and π‘š2 =
.
Perpendicular bisector
The line that passes through the midpoint of A
and B, and perpendicular bisector of AB.
For any point P on the line, PA = PB
Points of Intersection
The coordinates of point of intersection of a line and a non-parallel line or a
curve can be obtained by solving their equations simultaneously.
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8. Linear Law
To apply the linear law for a non-linear equation in variables x and y, express
the equation in the form
π‘Œ = π‘šπ‘‹ + 𝑐
Where X and Y are expressions in x and/or y.
9. Functions
Page 196 of Book
10. Trigonometric Functions
πœƒπ‘–π‘  + 𝑣𝑒
90
Sin
2
All
1
180
0,360
Tan
3
Cos
4
270
πœƒπ‘–π‘  − 𝑣𝑒
πœƒ is always acute.
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Basics
sin πœƒ =
cos πœƒ =
tan πœƒ =
tan πœƒ =
π‘π‘’π‘Ÿπ‘π‘’π‘›π‘‘π‘–π‘π‘’π‘™π‘Žπ‘Ÿ
β„Žπ‘¦π‘π‘œπ‘‘π‘’π‘›π‘’π‘ π‘’
π‘π‘Žπ‘ π‘’
β„Žπ‘¦π‘π‘œπ‘‘π‘’π‘›π‘’π‘ π‘’
π‘π‘’π‘Ÿπ‘π‘’π‘›π‘‘π‘–π‘π‘’π‘™π‘Žπ‘Ÿ
π‘π‘Žπ‘ π‘’
sin πœƒ
cos πœƒ
1
cosec πœƒ =
sec πœƒ =
cot πœƒ =
sin πœƒ
1
cos πœƒ
1
tan πœƒ
Rule 1
sin(90 − πœƒ) = cos πœƒ
cos(90 − πœƒ) = sin πœƒ
tan(90 − πœƒ) =
1
tan πœƒ
= cot θ
Rule 2
sin(180 − πœƒ) = + sin πœƒ
cos(180 − πœƒ) = −cos πœƒ
tan(180 − πœƒ) = −tan πœƒ
Rule 3
sin(180 + πœƒ) = −sin πœƒ
cos(180 + πœƒ) = −cos πœƒ
tan(180 + πœƒ) = +tan πœƒ
Rule 4
sin(360 − πœƒ) = − sin πœƒ
cos(360 − πœƒ) = +cos πœƒ
tan(360 − πœƒ) = −tan πœƒ
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Rule 5
sin(− πœƒ) = −sin πœƒ
cos(−πœƒ) = +cos πœƒ
tan(−πœƒ) = −tan πœƒ
Trigonometric Ratios of Some Special Angles
cos 45 =
sin 45 =
1
√2
1
√2
tan 45 = 1
cos 60 =
sin 60 =
1
2
√3
2
tan 60 = √3
√3
2
1
sin 30 =
2
1
tan 30
√3
cos 30 =
11. Simple Trigonometric Identities
Trigonometric Identities
sin2 πœƒ + cos 2 πœƒ = 1
1 + tan2 πœƒ = sec 2 πœƒ
1 + cot 2 πœƒ = cosec 2 πœƒ
12. Circular Measure
Relation between Radian and Degree
πœ‹
2
π‘Ÿπ‘Žπ‘‘π‘–π‘Žπ‘›π‘  = 90°
3πœ‹
2
π‘Ÿπ‘Žπ‘‘π‘–π‘Žπ‘›π‘  = 270°
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πœ‹ π‘Ÿπ‘Žπ‘‘π‘–π‘Žπ‘›π‘  = 180°
2πœ‹ π‘Ÿπ‘Žπ‘‘π‘–π‘Žπ‘›π‘  = 360°
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𝑠 = π‘Ÿπ›³ where s is arc length, r is radius and Ο΄ is angle of sector is radians
1
1
2
2
𝐴 = π‘Ÿπ‘  = π‘Ÿ 2 𝛳
where A is Area of sector
π‘Žπ‘Ÿπ‘’π‘Ž π‘œπ‘“ π‘ π‘’π‘π‘‘π‘œπ‘Ÿ π‘Žπ‘›π‘”π‘™π‘’ π‘œπ‘“ π‘ π‘’π‘π‘‘π‘œπ‘Ÿ
=
π‘Žπ‘Ÿπ‘’π‘Ž π‘œπ‘“ π‘π‘–π‘Ÿπ‘π‘™π‘’
π‘Žπ‘›π‘”π‘™π‘’ π‘œπ‘“ π‘π‘–π‘Ÿπ‘π‘™π‘’
13. Permutation and Combination
𝑛! = 𝑛(𝑛 − 1)(𝑛 − 2) × … × 3 × 2 × 1
0! = 1
𝑛! = 𝑛(𝑛 − 1)!
π‘›π‘ƒπ‘Ÿ =
π‘›πΆπ‘Ÿ =
𝑛!
(𝑛 − π‘Ÿ)!
𝑛!
(𝑛 − π‘Ÿ)! π‘Ÿ!
14. Binomial Theorem
(π‘Ž + 𝑏)𝑛 = π‘Žπ‘› + 𝐢1𝑛 π‘Žπ‘›−1 𝑏 + 𝐢2𝑛 π‘Žπ‘›−2 𝑏 2 + 𝐢3𝑛 π‘Žπ‘›−3 𝑏3 + β‹― + 𝑏 𝑛
π‘‡π‘Ÿ+1 = π‘›πΆπ‘Ÿ π‘Žπ‘›−π‘Ÿ 𝑏 π‘Ÿ
15. Differentiation
𝑑 𝑛
(π‘₯ ) = 𝑛π‘₯ 𝑛−1
𝑑π‘₯
𝑑
(π‘Žπ‘₯ π‘š + 𝑏π‘₯ 𝑛 ) = π‘Žπ‘šπ‘₯ π‘š−1 + 𝑏𝑛π‘₯ 𝑛−1
𝑑π‘₯
𝑑 𝑛
𝑑𝑒
(𝑒 ) = 𝑛𝑒𝑛−1
𝑑π‘₯
𝑑π‘₯
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𝑑
𝑑𝑣
𝑑𝑒
(𝑒𝑣) = 𝑒
+𝑣
𝑑π‘₯
𝑑𝑐
𝑑π‘₯
𝑑𝑒
𝑑𝑣
𝑣
−𝑒
𝑑 𝑒
𝑑π‘₯
𝑑π‘₯
( )=
2
𝑑π‘₯ 𝑣
𝑣
Where ‘v’ and ‘u’ are two functions
Gradient of a curve at any point P(x,y) is
𝑑𝑦
𝑑π‘₯
at x
16. Rate of Change
The rate of change of a variable x with respect to time is
𝑑π‘₯
𝑑𝑑
𝑑𝑦 𝑑𝑦 𝑑π‘₯
=
×
𝑑𝑑 𝑑π‘₯ 𝑑𝑑
𝛿𝑦 𝑑𝑦
≈
𝛿π‘₯ 𝑑π‘₯
π‘ƒπ‘’π‘Ÿπ‘π‘’π‘›π‘‘π‘Žπ‘”π‘’ π‘β„Žπ‘Žπ‘›π‘”π‘’ 𝑖𝑛 π‘₯ =
𝛿π‘₯
× 100%
π‘₯
𝑓(π‘₯ + 𝛿π‘₯) = 𝑦 + 𝛿𝑦 ≈ 𝑦 +
𝑑𝑦
𝛿π‘₯
𝑑π‘₯
17. Higher Derivative
𝑑𝑦
𝑑π‘₯
𝑑𝑦
𝑑π‘₯
= 0 when x =a then point (a, f(a)) is a stationary point.
= 0 and
𝑑2 𝑦
𝑑π‘₯ 2
≠ 0 when x =a then point (a, f(a)) is a turning point.
For a turning point T
I.
If
II.
If
𝑑2 𝑦
𝑑π‘₯ 2
𝑑2 𝑦
𝑑π‘₯ 2
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> 0, then T is a minimum point.
< 0, then T is a maximum point.
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18. Derivative of Trigonometric Functions
𝑑
(sin π‘₯) = cos π‘₯
𝑑π‘₯
𝑑
(cos π‘₯) = − sin π‘₯
𝑑π‘₯
𝑑
(tan π‘₯) = sec 2 π‘₯
𝑑π‘₯
𝑑
(sinn π‘₯) = 𝑛 sinn−1 π‘₯ cos π‘₯
𝑑π‘₯
𝑑
(cosn π‘₯) = −𝑛 cos n−1 π‘₯ sin π‘₯
𝑑π‘₯
𝑑
(tann π‘₯) = 𝑛 tann−1 π‘₯ sec 2 π‘₯
𝑑π‘₯
19. Exponential and Logarithmic
Functions
𝑑 𝑒
𝑑𝑒
(𝑒 ) = 𝑒 𝑒
𝑑π‘₯
𝑑π‘₯
𝑑 π‘Žπ‘₯+𝑏
(𝑒
) = π‘Žπ‘’ π‘Žπ‘₯+𝑏
𝑑π‘₯
A curve defined by y=ln(ax+b) has a domain ax+b>0 and the curve cuts the
x-axis at the point where ax+b=1
𝑑
1
(𝑙𝑛 π‘₯) =
𝑑π‘₯
π‘₯
𝑑
1 𝑑𝑒
(ln 𝑒) =
𝑑π‘₯
𝑒 𝑑π‘₯
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New Additional Mathematics: Cheat Sheet
14
𝑑
π‘Ž
[𝑙𝑛(π‘Žπ‘₯ + 𝑏)] =
𝑑π‘₯
π‘Žπ‘₯ + 𝑏
20. Integration
𝑑𝑦
= π‘₯ ⟺ 𝑦 = ∫ π‘₯ 𝑑π‘₯
𝑑π‘₯
𝑑 1 2
1
( π‘₯ + 𝑐) = π‘₯ ⟺ ∫ π‘₯ 𝑑π‘₯ = π‘₯ 2 + 𝑐
𝑑π‘₯ 2
2
π‘Žπ‘₯ 𝑛+1
∫ π‘Žπ‘₯ 𝑑π‘₯ =
+𝑐
𝑛+1
𝑛
𝑛
∫(π‘Žπ‘₯ + π‘Žπ‘
π‘š )𝑑π‘₯
π‘Žπ‘₯ 𝑛+1 𝑏π‘₯ π‘š+1
=
+
+𝑐
𝑛+1 π‘š+1
(π‘Žπ‘₯ + 𝑏)𝑛+1
∫(π‘Žπ‘₯ + 𝑏) 𝑑π‘₯ =
+𝑐
π‘Ž(𝑛 + 1)
𝑛
𝑏
𝑑
[𝐹(π‘₯)] = 𝑓(π‘₯) ⟺ ∫ 𝑓(π‘₯) 𝑑π‘₯ = 𝐹(𝑏) − 𝐹(π‘Ž)
𝑑π‘₯
π‘Ž
𝑏
𝑐
𝑐
∫ 𝑓(π‘₯) 𝑑π‘₯ + ∫ 𝑓(π‘₯) 𝑑π‘₯ = ∫ 𝑓(π‘₯) 𝑑π‘₯
π‘Ž
𝑏
𝑏
π‘Ž
π‘Ž
∫ 𝑓(π‘₯) 𝑑π‘₯ = − ∫ 𝑓(π‘₯) 𝑑π‘₯
π‘Ž
𝑏
π‘Ž
∫ 𝑓(π‘₯) 𝑑π‘₯ = 0
π‘Ž
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New Additional Mathematics: Cheat Sheet
15
𝑑
(sin π‘₯) = cos π‘₯ ⟺ ∫ cos π‘₯ 𝑑π‘₯ = sin π‘₯ + 𝑐
𝑑π‘₯
𝑑
(−cos π‘₯) = sin π‘₯ ⟺ ∫ sin π‘₯ 𝑑π‘₯ = − cos π‘₯ + 𝑐
𝑑π‘₯
𝑑
(tan π‘₯) = sec 2 π‘₯ ⟺ ∫ 𝑠𝑒𝑐 2 π‘₯ 𝑑π‘₯ = π‘‘π‘Žπ‘› π‘₯ + 𝑐
𝑑π‘₯
𝑑 1
1
[ sin(π‘Žπ‘₯ + 𝑏)] = cos(π‘Žπ‘₯ + 𝑏) ⟺ ∫ cos(π‘Žπ‘₯ + 𝑏) 𝑑π‘₯ = sin(π‘Žπ‘₯ + 𝑏) + 𝑐
𝑑π‘₯ π‘Ž
π‘Ž
𝑑
1
1
[− cos(π‘Žπ‘₯ + 𝑏)] = sin(π‘Žπ‘₯ + 𝑏) ⟺ ∫ sin(π‘Žπ‘₯ + 𝑏) 𝑑π‘₯ = − cos(π‘Žπ‘₯ + 𝑏) + 𝑐
𝑑π‘₯ π‘Ž
π‘Ž
𝑑 1
1
[ tan(π‘Žπ‘₯ + 𝑏)] = sec 2 (π‘Žπ‘₯ + 𝑏) ⟺ ∫ 𝑠𝑒𝑐 2 (π‘Žπ‘₯ + 𝑏) 𝑑π‘₯ = π‘‘π‘Žπ‘› (π‘Žπ‘₯ + 𝑏) + 𝑐
𝑑π‘₯ π‘Ž
π‘Ž
𝑑 π‘₯
(𝑒 ) = 𝑒 π‘₯ ⟺ ∫ 𝑒 π‘₯ 𝑑π‘₯ = 𝑒 π‘₯ + 𝑐
𝑑π‘₯
𝑑
(−𝑒 −π‘₯ ) = 𝑒 −π‘₯ ⟺ ∫ 𝑒 −π‘₯ 𝑑π‘₯ = −𝑒 −π‘₯ + 𝑐
𝑑π‘₯
21. Applications of Integration
For a region R above the x-axis, enclosed by the
curve y=f(x), the x-axis and the lines x=a and
x=b, the area R is:
𝑏
𝐴 = ∫ 𝑓(π‘₯) 𝑑π‘₯
π‘Ž
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New Additional Mathematics: Cheat Sheet
16
For a region R below the x-axis, enclosed by
the curve y=f(x), the x-axis and the lines x=a
and x=b, the area R is:
𝑏
𝐴 = ∫ −𝑓(π‘₯) 𝑑π‘₯
π‘Ž
For a region R enclosed by the curves y=f(x) and
y=g(x) and the lines x=a and x=b, the area R is:
𝑏
𝐴 = ∫ [𝑓(π‘₯) − 𝑔(π‘₯) ]𝑑π‘₯
π‘Ž
22. Kinematics
𝑣=
𝑑𝑠
𝑑𝑑
π‘Ž=
𝑑𝑣
𝑑𝑑
𝑠 = ∫ 𝑣 𝑑𝑑
𝑣 = ∫ π‘Ž 𝑑𝑑
π΄π‘£π‘’π‘Ÿπ‘”π‘’ 𝑠𝑝𝑒𝑒𝑑 =
π‘‘π‘œπ‘‘π‘Žπ‘™ π‘‘π‘–π‘ π‘‘π‘Žπ‘›π‘π‘’ π‘‘π‘Ÿπ‘Žπ‘£π‘’π‘™π‘™π‘’π‘‘
π‘‘π‘œπ‘‘π‘Žπ‘™ π‘‘π‘–π‘šπ‘’ π‘‘π‘Žπ‘˜π‘’π‘›
𝑣 = 𝑒 + π‘Žπ‘‘
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New Additional Mathematics: Cheat Sheet
17
1
𝑠 = 𝑒𝑑 + π‘Žπ‘‘ 2
2
1
𝑠 = (𝑒 + 𝑣)𝑑
2
𝑣 2 = 𝑒2 + 2π‘Žπ‘ 
23. Vectors
π‘₯
βƒ—βƒ—βƒ—βƒ—βƒ— = ( ) then |𝑂𝑃
βƒ—βƒ—βƒ—βƒ—βƒ— | = √π‘₯ 2 + 𝑦 2
If 𝑂𝑃
𝑦
𝒃 = π‘˜π’‚ and k > 0 a and b are in the same direction
𝒃 = π‘˜π’‚ and k < 0 a and b are opposite in direction
Vectors expressed in terms of two parallel vectors a and b:
𝑝𝒂 + π‘žπ’ƒ = π‘Ÿπ’‚ + 𝑠𝒃 ⟺ p = r and q = s
If A, B and C are collinear points ⟺ AB=kBC
If P has coordinates (x, y) in a Cartesian plane, then the position vector of P
is
βƒ—βƒ—βƒ—βƒ—βƒ— = π‘₯π’Š + 𝑦𝒋
𝑂𝑃
where i and j are unit vectors in the positive direction along the x-axis and
the y-axis respectively.
βƒ—βƒ—βƒ—βƒ—βƒ— is
Unit vector is the direction of 𝑂𝑃
1
1
π‘₯
(π‘₯π’Š + 𝑦𝒋) π‘œπ‘Ÿ
(𝑦)
√π‘₯ 2 + 𝑦 2
√π‘₯ 2 + 𝑦 2
24. Relative velocity
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