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Notes-Week-78

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ELEN2213
ENGINEERING MATHEMATICS FOR E.E. | NOTES
WEEK 7 | 24 FEBRUARY 2024
➒
The natural logarithm of a complex number can be obtained when it is expressed in exponential form, where
𝑧 = π‘Ÿπ‘’ π‘—πœƒ :
π₯𝐧(𝒛) = π₯𝐧(𝒓) + 𝒋(𝜽 + πŸπ…π’Œ) ; π’Œ ∈ β„€
or
𝒛 = 𝒆𝒋(𝜽+πŸπ…π’Œ) ; π’Œ ∈ β„€
π’š
𝜽 = 𝐭𝐚𝐧−𝟏 ( ) ; 𝒓 = √π’™πŸ + π’šπŸ
𝒙
➒
If π’Œ = 𝟎, then 𝒛 is the principal value.
TWO TYPES OF LOGARITHMS
1.) Common (Briggsian) Logarithm
➒
Notation: π₯𝐨𝐠 𝒃 (𝒙) ; 𝒃 ∈ β„€
➒
Base: 𝟏𝟎, i.e., π₯𝐨𝐠 𝟏𝟎 (𝒙)
2.) Natural Logarithm
➒
Notation: π₯𝐧(𝒙)
➒
Base: 𝑒 = 2.71828 … , i.e., π₯𝐨𝐠 𝒆 (𝒙) = π₯𝐧(𝒙)
PROPERTIES OF LOGARITHM
1.) log 𝑏 (𝑏 π‘₯ ) = π‘₯ ; 𝑏 ∈ β„€
5.) ln(π‘₯ 𝑛 ) = 𝑛 ln(π‘₯) ; 𝑛 ∈ β„€
2.) log 𝑒 (𝑒 π‘₯ ) = ln(𝑒 π‘₯ ) = π‘₯
6.) log π‘Ž (π‘₯𝑦) = log π‘Ž (π‘₯) + log π‘Ž (𝑦)
3.) 𝑒 ln(π‘₯) = π‘₯
7.) log π‘Ž ( ) = log π‘Ž (π‘₯) − log π‘Ž (𝑦)
π‘₯
𝑦
4.) 10log(π‘₯) = π‘₯
Examples:
βœ“
𝒛 = π₯𝐧(πŸ”∠πŸ‘πŸŽ°)
ln(𝑧) = ln(π‘Ÿ) + 𝑗(2πœ‹π‘˜) ; π‘˜ ∈ β„€
πœ‹
)
πœ‹
)
Eu(6∠30°) = 6𝑒 𝑗(30°)(180° = 6𝑒 𝑗( 6
πœ‹
πœ‹
)
ln (6𝑒 𝑗( 6 ) = ln(6) + 𝑗 ( + 2πœ‹π‘˜) ; π‘˜ ∈ β„€
6
𝝅
∴ π₯𝐧(πŸ”∠πŸ‘πŸŽ°) = 𝟏. πŸ•πŸ—πŸ + 𝒋 ( + πŸπ…π’Œ) ; π’Œ ∈ β„€
πŸ”
βœ“
Take the natural logarithm of 𝒛 = (𝟏 + π’‹πŸ)πŸ’ .
π₯𝐧(𝒛) = π₯𝐧[(𝟏 + π’‹πŸ)πŸ’ ]
4 ln(1 + 𝑗2) = 4 ln(2.24𝑒 𝑗(1.11+2πœ‹π‘˜) ) = 4[ln(2.24) + 𝑗(1.11 + 2πœ‹π‘˜)] = 3.22 + 𝑗(4.44 + 8πœ‹π‘˜)
∴ π₯𝐧(𝒛) = πŸ‘. 𝟐𝟐 + 𝒋(πŸ’. πŸ’πŸ’ + πŸ–π…π’Œ) ; π’Œ ∈ β„€
βœ“
Evaluate π₯𝐨𝐠 𝟏−𝒋 (𝟏 + 𝒋√πŸ‘)
𝐿𝑒𝑑 𝑁 = log1−𝑗 (1 + 𝑗√3)
∡ π‘Ž logπ‘Ž (π‘₯) = π‘₯
∴ (1 − 𝑗)𝑁 = (1 − 𝑗)log1−𝑗 (1+𝑗√3) ⇒ (1 − 𝑗)𝑁 = 1 + 𝑗√3
ln[(1 − 𝑗)𝑁 ] = ln(1 + 𝑗√3)
𝑁 ln(1 − 𝑗) = ln(2∠60°)
ELEN2213
ENGINEERING MATHEMATICS FOR E.E. | NOTES
πœ‹
πœ‹
ln(2) + 𝑗 ( + 2πœ‹π‘˜)
3
𝑁=
=
= −0.7951 + 𝑗(1.2304 + 2πœ‹π‘˜) ; π‘˜ ∈ β„€
πœ‹
πœ‹
𝑗(− +2πœ‹π‘˜)
ln (1.41𝑒 4
) ln(1.41) + 𝑗 (− 4 + 2πœ‹π‘˜)
ln (2𝑒 𝑗( 3 +2πœ‹π‘˜) )
∴ 𝑡 = π₯𝐨𝐠 𝟏−𝒋 (𝟏 + 𝒋√πŸ‘) = 𝟏. πŸ’πŸ”πŸ’πŸ—∠𝟏𝟐𝟐. πŸ–πŸ•πŸπŸ°
βœ“
Determine the general value of (πŸ‘ + π’‹πŸ’)(πŸ‘+π’‹πŸ’)
𝐿𝑒𝑑 𝑁 = (3 + 𝑗4)(3+𝑗4)
∡ π₯𝐧(𝒙𝒂 ) = 𝒂 π₯𝐧(𝒙)
∴ ln(𝑁) = ln[(3 + 𝑗4)(3+𝑗4) ]
ln(𝑁 ) = (3 + 𝑗4) ln(3 + 𝑗4) = (3 + 𝑗4) ln(5𝑒 𝑗(0.93+2πœ‹π‘˜) ) = (5∠53.13°)[ln(5) + 𝑗(0.93 + 2πœ‹π‘˜)]
ln(𝑁) = (5∠53.13°)(1.86∠30.02°) = 9.3∠83.15° = 1.11 + 𝑗9.23
𝑒 ln(𝑁) = 𝑒 (1.11+𝑗9.23)
𝑁 = 𝑒 1.11 𝑒 𝑗9.23 = 3.03𝑒 𝑗9.23+2πœ‹π‘˜ = 3.03∠528.84° + (360°π‘˜)
∴ 𝑡 = (πŸ‘ + π’‹πŸ’)(πŸ‘+π’‹πŸ’) = πŸ‘. πŸŽπŸ‘∠πŸπŸ”πŸ–. πŸ–πŸ’° + (πŸ‘πŸ”πŸŽ°π’Œ) ; π’Œ ∈ β„€
EULER’S THEOREM
𝐜𝐨𝐬 𝜽 + 𝒋 𝐬𝐒𝐧 𝜽 = (
➒
π’†π’‹πœ½ + 𝒆−π’‹πœ½
π’†π’‹πœ½ − 𝒆−π’‹πœ½
) + 𝒋(
)
𝟐
π’‹πŸ
Trigonometric Functions of Complex Numbers
𝑒 π‘—πœƒ + 𝑒 −π‘—πœƒ
cos πœƒ =
2
sin πœƒ =
𝑒 π‘—πœƒ − 𝑒 −π‘—πœƒ
𝑗2
𝑒 π‘—πœƒ − 𝑒 −π‘—πœƒ
tan πœƒ = −𝑗 ( π‘—πœƒ
)
𝑒 + 𝑒 −π‘—πœƒ
➒
arccos πœƒ = −𝑗 ln (πœƒ ± √πœƒ 2 − 1)
arctan πœƒ = −𝑗 ln (√
➒
csc πœƒ =
1
𝑗2
= π‘—πœƒ
sin πœƒ 𝑒 − 𝑒 −π‘—πœƒ
sec πœƒ =
1
2
=
cos πœƒ 𝑒 π‘—πœƒ + 𝑒 −π‘—πœƒ
Inverse Trigonometric Functions of Complex Numbers
arcsin πœƒ = −𝑗 ln (π‘—πœƒ ± √1 − πœƒ 2 )
➒
𝑒 π‘—πœƒ + 𝑒 −π‘—πœƒ
cot πœƒ = 𝑗 ( π‘—πœƒ
)
𝑒 − 𝑒 −π‘—πœƒ
1 + π‘—πœƒ
)
1 − π‘—πœƒ
arccot πœƒ = −𝑗 ln (√
arccsc πœƒ = −𝑗 ln (
πœƒ+𝑗
)
πœƒ−𝑗
πœƒ ± √πœƒ 2 − 1
)
πœƒ
arcsec πœƒ = −𝑗 ln (
1 ± √1 − πœƒ 2
)
πœƒ
Hyperbolic Functions of Complex Numbers
𝑒 πœƒ + 𝑒 −πœƒ
𝑒 πœƒ − 𝑒 −πœƒ
sinh πœƒ =
𝑒 πœƒ − 𝑒 −πœƒ
2
cosh πœƒ =
𝑒 πœƒ + 𝑒 −πœƒ
2
csch πœƒ =
1
2
=
sinh πœƒ 𝑒 πœƒ − 𝑒 −πœƒ
tanh πœƒ =
𝑒 πœƒ − 𝑒 −πœƒ
𝑒 πœƒ + 𝑒 −πœƒ
sech πœƒ =
1
2
=
cosh πœƒ 𝑒 πœƒ + 𝑒 −πœƒ
coth πœƒ =
Inverse Hyperbolic Functions of Complex Numbers
arcsinh πœƒ = ln (πœƒ + √πœƒ 2 + 1)
arccoth πœƒ =
1
πœƒ+1
ln (
)
2
πœƒ−1
ELEN2213
ENGINEERING MATHEMATICS FOR E.E. | NOTES
arccosh πœƒ = ln (πœƒ ± √πœƒ 2 − 1)
arctanh πœƒ =
➒
arccsch πœƒ = ln (
1
1+πœƒ
ln (
)
2
1−πœƒ
arcsech πœƒ = ln (
1 ± √1 − πœƒ 2
)
πœƒ
Hyperbolic Function Identities
cosh2 πœƒ − sinh2 πœƒ = 1
sinh(πœƒ ± 𝛽) = sinh πœƒ cosh 𝛽 ± cosh πœƒ sinh 𝛽
sech2 πœƒ + tanh2 πœƒ = 1
cosh(πœƒ ± 𝛽) = cosh πœƒ cosh 𝛽 ± sinh πœƒ sinh 𝛽
coth2 πœƒ − csch2 πœƒ = 1
➒
1 ± √1 + πœƒ 2
)
πœƒ
tanh(πœƒ ± 𝛽) =
tanh πœƒ ± tanh 𝛽
1 ± tanh πœƒ tanh 𝛽
Relations between Hyperbolic and Trigonometric Functions
sin π‘—πœƒ = 𝑗 sinh πœƒ
sinh π‘—πœƒ = 𝑗 sin πœƒ
cos π‘—πœƒ = cosh πœƒ
cosh π‘—πœƒ = cos πœƒ
tan π‘—πœƒ = 𝑗 tanh πœƒ
tanh π‘—πœƒ = 𝑗 tan πœƒ
Examples:
βœ“
Evaluate using Euler’s Theorem: 𝐜𝐨𝐬(𝟎. πŸ“πŸ•πŸ‘ + π’‹πŸŽ. πŸ•πŸ–πŸ‘)
∡ cos(πœƒ ± 𝛽) = cos πœƒ cos 𝛽 βˆ“ sin πœƒ sin 𝛽 ; πœƒ = 0.573 ; 𝛽 = 𝑗0.783
∴ cos(0.573 + 𝑗0.783) = cos(0.573) cos(𝑗0.783) − sin(0.573) sin(𝑗0.783)
radians → degrees
180°
0.573 (
) = 32.83°
πœ‹
∡ cos π‘—πœƒ = cosh πœƒ ; sin π‘—πœƒ = 𝑗 sinh πœƒ
∴ cos(𝑗0.783) = cosh(0.783) ; sin(𝑗0.783) = 𝑗 sinh(0.783)
cos(0.573) cos(𝑗0.783) − sin(0.573) sin(𝑗0.783) ⇒ cos(32.83°) cosh(0.783) − sin(32.83°) 𝑗 sinh(0.783)
= (0.840)(1.323) − 𝑗(0.542)(0.865) = 1.111 − 𝑗0.469
∴ 𝐜𝐨𝐬(𝟎. πŸ“πŸ•πŸ‘ + π’‹πŸŽ. πŸ•πŸ–πŸ‘) = 𝟏. 𝟏𝟏𝟏 − π’‹πŸŽ. πŸ’πŸ”πŸ—
βœ“
Evaluate 𝐚𝐫𝐜𝐬𝐒𝐧(πŸ‘ + π’‹πŸ’).
∡ arcsin πœƒ = −𝑗 ln (π‘—πœƒ ± √1 − πœƒ 2 ) ; πœƒ = 3 + 𝑗4
∴ arcsin(3 + 𝑗4) = −𝑗 ln [𝑗(3 + 𝑗4) ± √1 − (3 + 𝑗4)2 ]
1
arcsin(3 + 𝑗4) = −𝑗 ln [(−4 + 𝑗3) ± √1 − (−7 + 𝑗24)] = −𝑗 ln[(−4 + 𝑗3) ± √8 − 𝑗24] = −𝑗 ln [(−4 + 𝑗3) ± (25.3∠ − 71.6°)2 ]
arcsin(3 + 𝑗4) = −𝑗 ln[(−4 + 𝑗3) ± (5.03∠ − 35.8°)]
Positive Root
Negative Root
arcsin(3 + 𝑗4) = −𝑗 ln[(−4 + 𝑗3) + (5.03∠ − 35.8°)]
arcsin(3 + 𝑗4) = −𝑗 ln[(−4 + 𝑗3) − (5.03∠ − 35.8°)]
arcsin(3 + 𝑗4) = −𝑗 ln(0.098∠35.9°)
arcsin(3 + 𝑗4) = −𝑗 ln(10.03∠143.67°)
arcsin(3 + 𝑗4) = −𝑗 ln(0.098𝑒
𝑗0.63 )
arcsin(3 + 𝑗4) = −𝑗 ln(10.03𝑒 𝑗2.51 )
arcsin(3 + 𝑗4) = −𝑗[ln(0.098) + 𝑗0.63]
arcsin(3 + 𝑗4) = −𝑗[ln(10.03) + 𝑗2.51]
arcsin(3 + 𝑗4) = −𝑗(−2.32 + 𝑗0.63)
arcsin(3 + 𝑗4) = −𝑗(2.31 + 𝑗2.51)
arcsin(3 + 𝑗4) = 0.63 + 𝑗2.32
arcsin(3 + 𝑗4) = 2.51 − 𝑗2.31
∴ 𝐚𝐫𝐜𝐬𝐒𝐧(πŸ‘ + π’‹πŸ’) = 𝟐. πŸ’πŸŽπŸ’∠πŸ•πŸ’. πŸ–°
∴ 𝐚𝐫𝐜𝐬𝐒𝐧(πŸ‘ + π’‹πŸ’) = πŸ‘. πŸ’πŸπŸ∠ − πŸ’πŸ. πŸ”πŸπŸ’°
ELEN2213
ENGINEERING MATHEMATICS FOR E.E. | NOTES
βœ“
𝝅
𝐭𝐚𝐧𝐑 (𝒋 )
πŸ‘
∡ tanh π‘—πœƒ = 𝑗 tan πœƒ ; πœƒ =
πœ‹
3
πœ‹
πœ‹
∴ tanh (𝑗 ) = 𝑗 tan ( )
3
3
πœ‹
tanh (𝑗 ) = 𝑗0.0183 = 0.0193∠90°
3
𝝅
∴ 𝐭𝐚𝐧𝐑 (𝒋 ) = 𝟎. πŸŽπŸπŸ—πŸ‘∠πŸ—πŸŽ°
πŸ‘
βœ“
Evaluate 𝐚𝐫𝐜𝐬𝐒𝐧𝐑(𝟎. πŸ’∠πŸ‘πŸŽ°)
∡ arcsinh πœƒ = ln (πœƒ ± √πœƒ 2 + 1) ; πœƒ = 0.4∠30°
∴ arcsinh(0.4∠30°) = ln [(0.4∠30°) + √(0.4∠30°)2 + 1]
arcsinh(0.4∠30°) = ln[(0.4∠30°) + √1.089∠7.311°] = ln[(0.4∠30°) + (1.044∠3.66°)]
arcsinh(0.4∠30°) = ln(1.414∠10.872°) = ln(1.414𝑒 𝑗0.19 ) = ln(1.414) + 𝑗0.19 = 0.346 + 𝑗0.19
∴ 𝐚𝐫𝐜𝐬𝐒𝐧𝐑(𝟎. πŸ’∠πŸ‘πŸŽ°) = 𝟎. πŸ‘πŸ—πŸ’∠πŸπŸ–. πŸ•πŸ•°
βœ“
Evaluate 𝐬𝐒𝐧𝐑(𝟎. πŸ‘πŸ’πŸ” − π’‹πŸŽ. πŸ“πŸ’πŸ–)
∡ sinh(πœƒ ± 𝛽) = sinh πœƒ cosh 𝛽 ± cosh πœƒ sinh 𝛽 ; πœƒ = 0.346 ; 𝛽 = 𝑗0.548
∴ sinh(0.346 − 𝑗0.548) = sinh(0.346) cosh(𝑗0.548) − cosh(0.346) sinh(𝑗0.548)
∡ cosh 𝑗𝛼 = cos 𝛼 ; ∴ cosh(𝑗0.548) = cos(0.548)
∡ sinh 𝑗𝛼 = 𝑗 sin 𝛼 ; ∴ sinh(𝑗0.548) = 𝑗 sin(0.548)
sinh(0.346 − 𝑗0.548) = sinh(0.346) cos(0.548) − cosh(0.346) 𝑗 sin(0.548)
radians → degrees
180°
0.548 (
) = 31.4° ; Argument of Hyperbolic Function should be in 𝐫𝐚𝐝𝐒𝐚𝐧𝐬
πœ‹
sinh(0.346) cos(0.548) − cosh(0.346) 𝑗 sin(0.548) ⇒ sinh(0.346) cos(31.4°) − cosh(0.346) 𝑗 sin(31.4°)
sinh(0.346 − 𝑗0.548) = 0.301 − 𝑗0.553
∴ 𝐬𝐒𝐧𝐑(𝟎. πŸ‘πŸ’πŸ” − π’‹πŸŽ. πŸ“πŸ’πŸ–) = 𝟎. πŸ”πŸπŸ—πŸ”∠ − πŸ”πŸ. πŸ’πŸ’πŸŽπŸ’°
ELEN2213
ENGINEERING MATHEMATICS FOR E.E. | NOTES
WEEK 8 | 2 MARCH 2024
➒
Like all transforms, the Laplace transform changes one signal into another according to some fixed set of rules
or equations. The best way to convert differential equations into algebraic equations is the use of Laplace
transformation.
➒
Laplace transform is the integral transform of the given derivative function with real variable 𝒕 to convert into a
complex function with variable 𝒔.
➒
The Laplace transform of 𝒇(𝒕), that is denoted by 𝓛{𝒇(𝒕)} or 𝑭(𝒔) is defined by the Laplace transform formula:
∞
𝓛{𝒇(𝒕)} = 𝑭(𝒔) = ∫ 𝒇(𝒕)𝒆−𝒔𝒕 𝒅𝒕
−∞
βœ“
𝑭(𝒔) = new function in the complex frequency domain
βœ“
𝒇(𝒕) = function in the domain
βœ“
𝒔 = complex frequency domain
βœ“
𝒕 = time domain
βœ“
𝒆−𝒔𝒕 = kernel of transformation
TABLE OF TRANSFORMATIONS
𝒇(𝒕)
𝓛{𝒇(𝒕)} = 𝑭(𝒔)
1
1
𝑠
𝑑
1
𝑠2
π‘‘π‘˜
π‘˜!
𝑠 (π‘˜+1)
𝑒 βˆ“π‘˜π‘‘
1
(𝑠 ± π‘˜)
𝑑 π‘˜ 𝑒 βˆ“π‘π‘‘
π‘˜!
(𝑠 ± 𝑏)(π‘˜+1)
sin(𝑏𝑑)
cos(𝑏𝑑)
𝑏
(𝑠 2 + 𝑏 2 )
𝑠
(𝑠 2 + 𝑏 2 )
𝑒 βˆ“π‘˜π‘‘ sin(𝑏𝑑)
𝑏
[(𝑠 ± π‘˜)2 + 𝑏 2 ]
𝑒 βˆ“π‘˜π‘‘ cos(𝑏𝑑)
(𝑠 ± π‘˜)
[(𝑠 ± π‘˜)2 + 𝑏 2 ]
sinh(𝑏𝑑)
𝑏
(𝑠 2 − 𝑏 2 )
cosh(𝑏𝑑)
𝑠
(𝑠 2 − 𝑏 2 )
𝑒 βˆ“π‘˜π‘‘ sinh(𝑏𝑑)
𝑏
[(𝑠 ± π‘˜)2 − 𝑏 2 ]
𝑒 βˆ“π‘˜π‘‘ cosh(𝑏𝑑)
(𝑠 ± π‘˜)
[(𝑠 ± π‘˜)2 − 𝑏 2 ]
𝑑 sin(𝑏𝑑 )
𝑑 cos(𝑏𝑑)
2𝑏𝑠
(𝑠 2 + 𝑏 2 )2
(𝑠 2 − 𝑏 2 )
(𝑠 2 + 𝑏 2 )2
ELEN2213
ENGINEERING MATHEMATICS FOR E.E. | NOTES
√πœ‹
3
2 √𝑠
√𝑑
1
√πœ‹⁄𝑠
√𝑑
THEOREM 1: LINEARITY PROPERTY
➒
If 𝒇(𝒕) and π’ˆ(𝒕) are any functions whose Laplace transforms exist and “𝒂” and “𝒃” are any constants, then:
𝓛{𝒂𝒇(𝒕) ± π’ƒπ’ˆ(𝒕)} = 𝓛{𝒂𝒇(𝒕)} ± 𝓛{π’ƒπ’ˆ(𝒕)} = 𝒂𝓛{𝒇(𝒕)} ± 𝒃𝓛{π’ˆ(𝒕)}
Examples:
βœ“
𝓛{πŸπ’• + πŸ‘}
1
1
2 3
β„’{2𝑑 + 3} = β„’{2𝑑} + β„’{3} = 2β„’{𝑑} + 3β„’{1} = 2 ( 2 ) + 3 ( ) = 2 +
𝑠
𝑠
𝑠
𝑠
∴ 𝓛{πŸπ’• + πŸ‘} =
βœ“
𝓛{π’•πŸ‘ 𝒆−πŸ’π’• }
∡ 𝑑 π‘˜ 𝑒 βˆ“π‘π‘‘ =
π‘˜!
; π‘˜ = 3 ; 𝑏 = −4
(𝑠 ± 𝑏)(π‘˜+1)
∴ 𝓛{π’•πŸ‘ 𝒆−πŸ’π’• } =
βœ“
πŸπ’” + πŸ‘π’”πŸ
π’”πŸ‘
3!
πŸ”
=
(𝑠 + 4)(3+1)
(𝒔 + πŸ’)πŸ’
𝓛{πŸπ’•πŸ• π’†πŸ‘π’• − πŸ’ 𝐜𝐨𝐬(πŸ”π’•)}
π‘˜!
; π‘˜ =7; 𝑏 =3
(𝑠 ± 𝑏)(π‘˜+1)
𝑠
∡ cos(𝑏𝑑) = 2
; 𝑏=6
(𝑠 + 𝑏 2 )
∡ 𝑑 π‘˜ 𝑒 βˆ“π‘π‘‘ =
∴ β„’{2𝑑 7 𝑒 3𝑑 − 4 cos(6𝑑)} = β„’{𝑑 7 𝑒 3𝑑 } − 4β„’{cos(6𝑑)}
β„’{2𝑑 7 𝑒 3𝑑 − 4 cos(6𝑑)} =
7!
𝑠
10080
4𝑠
− 4[ 2
]=
− 2
(7+1)
2
8
(𝑠 + (6) )
(𝑠 − 3)
(𝑠 − 3)
𝑠 + 36
∴ 𝓛{πŸπ’•πŸ• π’†πŸ‘π’• − πŸ’ 𝐜𝐨𝐬(πŸ”π’•)} =
βœ“
𝟏
πŸπŸŽπŸŽπŸ–πŸŽ(π’”πŸ + πŸ‘πŸ”) − πŸ’π’”(𝒔 − πŸ‘)πŸ–
(𝒔 − πŸ‘)πŸ– (π’”πŸ + πŸ‘πŸ”)
𝟏
𝓛 {𝒆−πŸπ’• 𝐬𝐒𝐧(πŸπ’•) + 𝒆−πŸπ’• 𝐬𝐒𝐧𝐑(𝒕)}
∡ β„’{𝑒 βˆ“π‘˜π‘‘ sin(𝑏𝑑)} =
𝑏
1
; π‘˜=− ; 𝑏=2
2
2
[(𝑠 ± π‘˜) + 𝑏 ]
2
∡ β„’{𝑒 βˆ“π‘˜π‘‘ sinh(𝑏𝑑)} =
1
1
𝑏
1
; π‘˜=− ; 𝑏=1
[(𝑠 ± π‘˜)2 − 𝑏 2 ]
2
1
𝟏
𝟏
∴ 𝓛 {𝒆−πŸπ’• 𝐬𝐒𝐧(πŸπ’•) + 𝒆−πŸπ’• 𝐬𝐒𝐧𝐑(𝒕)} =
2
1
∴ β„’ {𝑒 −2𝑑 sin(2𝑑) + 𝑒 −2𝑑 sinh(𝑑)} = β„’ {𝑒 −2𝑑 sin(2𝑑)} + β„’ {𝑒 −2𝑑 sinh(𝑑)} =
𝟐
π’”πŸ + 𝒔 +
πŸπŸ•
πŸ’
+
1 2
(𝑠 + ) + 4
2
+
1
1 2
(𝑠 − ) − 1
2
𝟏
πŸ‘
𝟏
(𝒔 + ) (𝒔 − )
𝟐
𝟐
THEOREM 2: FIRST SHIFTING PROPERTY
➒
If 𝓛{𝒇(𝒕)} = 𝑭(𝒔) wen 𝒔 > 𝒂, then:
𝓛{𝒆𝒂𝒕 𝒇(𝒕)} = 𝑭(𝒔 − 𝒂) ; 𝒂 ∈ ℝ
➒
The substitution of (𝒔 − 𝒂) for 𝒔 in the transform corresponds to the multiplication of the original function by
𝒆𝒂𝒕 .
ELEN2213
ENGINEERING MATHEMATICS FOR E.E. | NOTES
Examples:
βœ“
𝓛{𝒆−πŸ‘π’• 𝐜𝐨𝐬(πŸ“π’•)}
β„’{𝑓(𝑑)} = 𝐹(𝑠) ⇒ β„’{cos(5𝑑)} =
𝑠
(𝑠 2 + 25)
β„’{𝑒 −π‘Žπ‘‘ 𝑓(𝑑)} = 𝐹(𝑠 − π‘Ž) ; 𝑒 −π‘Žπ‘‘ = 𝑒 −3𝑑 = (𝑠 + 3)
(𝑠 + 3)
(𝑠 + 3)
=
(𝑠 + 3)2 + 25 𝑠 2 + 6𝑠 + 9 + 25
∴ β„’{𝑒 −3𝑑 cos(5𝑑)} =
𝒔+πŸ‘
π’”πŸ + πŸ”π’” + πŸ‘πŸ’
∴ 𝓛{𝒆−πŸ‘π’• 𝐜𝐨𝐬(πŸ“π’•)} =
βœ“
𝓛{π’•πŸ‘ π’†πŸ“π’• }
β„’{𝑑 3 } =
βœ“
3!
𝑠 3+1
6
𝑠4
∴ 𝓛{π’•πŸ‘ π’†πŸ“π’• } =
πŸ”
(𝒔 − πŸ“)πŸ’
β„’{sin(𝑑)} =
2
𝑠2 + 1
𝓛{𝒆−πŸπ’• 𝐬𝐒𝐧(𝒕)}
β„’{𝑒 −2𝑑 sin(𝑑)} =
2
2
=
(𝑠 + 2)2 + 1 𝑠 2 + 2𝑠 + 4 + 1
𝟐
∴ 𝓛{𝒆−πŸπ’• 𝐬𝐒𝐧(𝒕)} =
βœ“
=
π’”πŸ + πŸπ’” + πŸ“
𝓛{𝒆𝒕 𝐜𝐨𝐬𝐑(𝒕)}
𝑠
𝑠2 − 1
(𝑠 − 1)
𝑠−1
𝑠−1
∴ β„’{𝑒 𝑑 cosh(𝑑)} =
=
=
(𝑠 − 1)2 − 1 [(𝑠 − 1) − 1][(𝑠 − 1) + 1] (𝑠 − 2)(𝑠)
β„’{cosh(𝑑)} =
∴ 𝓛{𝒆𝒕 𝐜𝐨𝐬𝐑(𝒕)} =
βœ“
𝒔−𝟏
π’”πŸ − πŸπ’”
𝓛{𝒕 − 𝐜𝐨𝐬(πŸ“π’•)}
β„’{𝑑 − cos(5𝑑)} = β„’{𝑑} − β„’{cos(5𝑑)}
β„’{𝑑 − cos(5𝑑)} =
(𝑠 2 + 25) − 𝑠 3
1
𝑠
−
=
𝑠 2 𝑠 2 + 25
𝑠 2 (𝑠 2 + 25)
∴ 𝓛{𝒕 − 𝐜𝐨𝐬(πŸ“π’•)} =
βœ“
−π’”πŸ‘ + π’”πŸ + πŸπŸ“
π’”πŸ’ + πŸπŸ“π’”πŸ
𝓛{π’•πŸ‘ − πŸ–π’• + 𝟏}
β„’{𝑑 3 − 8𝑑 + 1} =
3!
8 1
6
8 1
− + = − +
𝑠 (3+1) 𝑠 2 𝑠 𝑠 4 𝑠 2 𝑠
∴ 𝓛{π’•πŸ‘ − πŸ–π’• + 𝟏} =
βœ“
πŸ” − πŸ–π’”πŸ + π’”πŸ’
π’”πŸ’
𝓛{[𝐬𝐒𝐧(𝒕) − 𝐜𝐨𝐬(𝒕)]𝟐 }
[sin(𝑑) − cos(𝑑)]2 = sin2 (𝑑) − 2 sin(𝑑) cos(𝑑) + cos 2(𝑑) = 1 − sin(2𝑑)
∴ β„’{1 − sin(2𝑑)} =
1
2
𝑠 2 + 4 − 2𝑠
− 2
=
𝑠 𝑠 +4
𝑠(𝑠 2 + 4)
∴ 𝓛{𝟏 − 𝐬𝐒𝐧(πŸπ’•)} =
βœ“
π’”πŸ − πŸπ’” + πŸ’
π’”πŸ‘ + πŸ’π’”
𝓛{πŸ’π’•πŸ‘ 𝒆−𝒕 }
3!
24
β„’{4𝑑 3 } = 4 ( (3+1) ) = 4
𝑠
𝑠
∴ 𝓛{πŸ’π’•πŸ‘ 𝒆−𝒕 } =
πŸπŸ’
(𝒔 + 𝟏)πŸ’
ELEN2213
ENGINEERING MATHEMATICS FOR E.E. | NOTES
βœ“
𝓛{πŸ’ 𝐬𝐒𝐧𝐑(πŸ‘π’•) − πŸπŸ–π’†−πŸ“π’• }
β„’{4 sinh(3𝑑) − 18𝑒 −5𝑑 } = β„’{4 sinh(3𝑑)} − β„’{18𝑒 −5𝑑 }
3
1
β„’{4 sinh(3𝑑) − 18𝑒 −5𝑑 } = 4 ( 2
) − 18 (
)
𝑠 −9
𝑠+5
𝓛{πŸ’ 𝐬𝐒𝐧𝐑(πŸ‘π’•) − πŸπŸ–π’†−πŸ“π’• } =
βœ“
𝟏𝟐
πŸπŸ–
−
π’”πŸ − πŸ— 𝒔 + πŸ“
𝓛{𝐜𝐨𝐬 𝟐 (πŸπ’•)}
1
[cos(4𝑑) + 1]
2
1
1
β„’{cos 2 (2𝑑)} = β„’ { [cos(4𝑑) + 1]} = β„’{cos(4𝑑) + 1}
2
2
cos 2 (2𝑑) =
1
1
𝑠
1
𝑠
1
2𝑠 2 + 2𝑠 2 + 32 4𝑠 2 + 32
𝑠2 + 8
β„’ { [cos(4𝑑) + 1]} = [ 2
+ ]= 2
+
=
= 3
= 3
3
2
2 𝑠 + 16 𝑠
2𝑠 + 32 2𝑠
4𝑠 + 64𝑠
4𝑠 + 64 𝑠 + 16
∴ 𝓛{𝐜𝐨𝐬 𝟐 (πŸπ’•)} =
π’”πŸ + πŸ–
π’”πŸ‘ + πŸπŸ”
THEOREM 3: CHANGE OF SCALE PROPERTY
➒
If 𝓛{𝒇(𝒕)} = 𝑭(𝒔) wen 𝒔 > 𝒂, then:
𝓛{𝒇(𝒂𝒕)} =
𝟏
𝒔
𝑭( ) ; 𝒂 ∈ ℝ
𝒂 𝒂
Example:
βœ“
𝓛{𝐜𝐨𝐬(πŸ‘π’•)}
β„’{cos(𝑑)} =
𝑠
𝑠2 + 1
(𝑠⁄3)
1
1
𝑠
1
9𝑠
𝒔
∴ β„’{cos(3𝑑)} = [
]= ( 2
)= ( 2
)= 𝟐
2
3 (𝑠⁄ ) + 1
9 𝑠
9 𝑠 +9
𝒔 +πŸ—
+1
3
9
βœ“
𝐬𝐒𝐧(𝒕)
Given that 𝓛 {
𝒕
𝟏
𝐬𝐒𝐧(πŸπ’•)
𝒔
𝒕
} = 𝐭𝐚𝐧−𝟏 ( ), find 𝓛 {
}
sin(𝑑)
1
β„’{
} = tan−1 ( )
𝑑
𝑠
πŸβ„’ {
sin(2𝑑)
1
1
} = 𝟐 ( ) tan−1 [𝑠 ]
πŸπ‘‘
2
⁄2
𝐬𝐒𝐧(πŸπ’•)
𝟐
∴ 𝓛{
} = 𝐭𝐚𝐧−𝟏 ( )
𝒕
𝒔
βœ“
π’”πŸ −𝒔+𝟏
If 𝓛{𝒇(𝒕)} = (πŸπ’”+𝟏)𝟐(𝒔−𝟏), find 𝓛{𝒇(πŸπ’•)}
2
2
2
[𝑠 − 2𝑠 + 4⁄4]
(𝑠⁄2) − (𝑠⁄2) + 1
1
1 𝑠 ⁄4 − 𝑠⁄2 + 1
4
𝑠 2 − 2𝑠 + 4
𝓛{𝒇(πŸπ’•)} = [
]
=
[
]
=
[
]
=
𝑠−2 4
(4𝑠 2 + 8𝑠 + 4)(2𝑠 − 4)
2 [2(𝑠⁄ ) + 1]2 [(𝑠⁄ ) + 1]
2 (𝑠 + 1)2 (𝑠 − 2)
[(𝑠 2 + 2𝑠 + 1) (
)]
2
2
2
2
β„’{𝑓(2𝑑)} =
𝑠 2 − 2𝑠 + 4
8𝑠 3 + 16𝑠 2 + 8𝑠 − 16𝑠 2 − 32𝑠 − 16
∴ 𝓛{𝒇(πŸπ’•)} =
π’”πŸ − πŸπ’” + πŸ’
πŸ–π’”πŸ‘ − πŸπŸ’π’” − πŸπŸ”
ELEN2213
ENGINEERING MATHEMATICS FOR E.E. | NOTES
THEOREM 4: MULTIPLICATION BY POWER OF 𝒕
➒
If 𝓛{𝒇(𝒕)} = 𝑭(𝒔) wen 𝒔 > 𝒂, then:
𝓛{𝒕𝒏 𝒇(𝒕)} = (−𝟏)𝒏
𝐝𝒏 𝒏
[𝑭 (𝒔)] ; 𝒏 ∈ β„€
𝐝𝐬 𝒏
Examples:
βœ“
𝓛{𝒕 𝐬𝐒𝐧(𝒕)}
∡ 𝑓(𝑑) = sin(𝑑) ⇒ 𝐹(𝑠) =
∴ β„’{𝑑 sin(𝑑)} = (−1)1
πŸπ’”
π’”πŸ’ + πŸπ’”πŸ + 𝟏
𝓛{π’•πŸ 𝐬𝐒𝐧(πŸ‘π’•)}
∡ β„’{sin(3𝑑)} =
= β„’{𝑑 2 sin(3𝑑)} = (−1)2
=[
3
𝑠2 + 9
𝐝2
3
𝐝 (0)(𝑠 2 + 9) − (3)(2𝑠)
𝐝
−6𝑠
[
]
=
[
]=
[ 2
]
2
2
2
2
(𝑠 + 9)
𝐝𝑠 𝑠 + 9
𝐝𝑠
𝐝𝑠 (𝑠 + 9)2
(−6)(𝑠 2 + 9)2 − (−6𝑠)(2)(𝑠 2 + 9)(2𝑠)
−6(𝑠 2 + 9) + (6𝑠)(2)(2𝑠) −6𝑠 2 − 54 + 24𝑠 2
]=
=
2
4
(𝑠 + 9)
(𝑠 2 + 9)3
(𝑠 2 + 9)3
∴ 𝓛{π’•πŸ 𝐬𝐒𝐧(πŸ‘π’•)} =
βœ“
; 𝑛=1
𝑑
1
−2𝑠
[ 2
] = −[ 2
]
(𝑠 + 1)2
𝑑𝑠 𝑠 + 1
∴ 𝓛{𝒕 𝐬𝐒𝐧(𝒕)} =
βœ“
1
𝑠2 + 1
π’•πŸ 𝐬𝐒𝐧𝐑(πŸ‘π’•)
𝓛{
πŸ‘
πŸπŸ–π’”πŸ − πŸ“πŸ’
(π’”πŸ + πŸ—)πŸ‘
}
β„’{
𝑑 2 sinh(3𝑑)
1
1
𝐝2
} = β„’{𝑑 2 sinh(3𝑑)} = (−1)2 2 [β„’{sinh(3𝑑)}]
3
3
3
𝐝𝑠
∡ β„’{sinh(3𝑑)} =
∴
3
𝑠2 − 9
1
d2
3
1 𝐝 (0)(𝑠 2 − 9) − (3)(2𝑠)
1 𝐝
−6𝑠
(−1)2 2 [ 2
]=
[
]=
[ 2
]
2
2
(𝑠 − 9)
3
d𝑠 𝑠 − 9
3 𝐝𝑠
3 𝐝𝑠 (𝑠 − 9)2
1 (−6)(𝑠 2 − 9)2 − (−6𝑠)(2)(𝑠 2 − 9)(2𝑠)
1 (−6)(𝑠 2 − 9) + (6𝑠)(2)(2𝑠)
1 −6𝑠 2 + 54 + 24𝑠 2
= [
]= [
]= [
]
2
4
2
3
(𝑠 − 9)
(𝑠 − 9)
(𝑠 2 − 9)3
3
3
3
π’•πŸ 𝐬𝐒𝐧𝐑(πŸ‘π’•)
πŸπŸ–π’”πŸ + πŸ“πŸ’ πŸ”π’”πŸ + πŸπŸ–
∴ 𝓛{
}=
=
πŸ‘
πŸ‘(π’”πŸ − πŸ—)πŸ‘ (π’”πŸ − πŸ—)πŸ‘
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