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Fourier and Laplace Transforms (2003) – Answers to Exercises – Beerends

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INSTANT PDF DOWNLOAD — Complete Answers to Exercises for Fourier and Laplace Transforms (2nd Ed., 2003). Covers all 19 chapters and figures: Fourier series and integrals, Laplace transform properties, convolution, impulse/Dirac delta, distributions, inverse transforms, residue methods, ODE/PDE solutions, boundary-value problems, signals and systems, and applications in physics and engineering. Step-by-step, exam-ready solutions for fast homework checking and self-study mastery. Fourier transform solutions, Laplace transform answers, Beerends solutions manual, Fourier series exercises, inverse Laplace problems, convolution practice sets, residue theorem applications, ODE PDE with transforms, boundary value problems solutions, engineering math workbook, signals and systems math, step by step derivations pdf, distributions Dirac delta practice, complex analysis for transforms, exam prep Fourier Laplace, solved problems mathematics pdf, self study solutions manual, applied mathematics exercises, Cambridge textbook answers, student solution guide

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All 19 Chapters & Figures Covered

, Answers to selected exercises for chapter 1




1.1 Apply cos(α + β) = cos α cos β − sin α sin β, then
f1 (t) + f2 (t)
= A1 cos ωt cos φ1 − A1 sin ωt sin φ1 + A2 cos ωt cos φ2 − A2 sin ωt sin φ2
= (A1 cos φ1 + A2 cos φ2 ) cos ωt − (A1 sin φ1 + A2 sin φ2 ) sin ωt
= C1 cos ωt − C2 sin ωt,
where C1 = A1 cos φ1 + A2 cos φ2 and C2 = A1 sin φ1 + A2 sin φ2 . Put A =
p
C12 + C22 and take φ such that cos φ = C1 /A and sin φ = C2 /A (this is
possible since (C1 /A)2 +(C2 /A)2 = 1). Now f1 (t)+f2 (t) = A(cos ωt cos φ−
sin ωt sin φ) = A cos(ωt + φ).
1.2 Put c1 = A1 eiφ1 and c2 = A2 eiφ2 , then f1 (t) + f2 (t) = (c1 + c2 )eiωt . Let
c = c1 + c2 , then f1 (t) + f2 (t) = ceiωt . The signal f1 (t) + f2 (t) is again a
time-harmonic signal with amplitude | c | and initial phase arg c.
1.5 The power P is given by
Z π/ω
A2 ω π/ω
Z
ω
P = A2 cos2 (ωt + φ0 ) dt = (1 + cos(2ωt + 2φ0 )) dt
2π −π/ω 4π −π/ω
A2
= .
2

e−2t dt = 12 .
R∞
1.6 The energy-content is E = 0

1.7 The power P is given by
3
1X
P = | cos(nπ/2) |2 = 12 .
4 n=0

P∞
1.8 The energy-content is E = n=0 e−2n , which is a geometric series with
sum 1/(1 − e−2 ).
1.9 a If u(t) is real, then the integral, and so y(t), is also real.
b Since
˛Z ˛ Z
˛ ˛
˛ u(τ ) dτ ˛ ≤ | u(τ ) | dτ,
˛ ˛

it follows from the boundedness of u(t), so | u(τ ) | ≤ K for some constant
K, that y(t) is also bounded.
c The linearity follows immediately from the linearity of integration. The
time-invariance
Rt follows from the substitution ξ = τ − t0 in the integral
t−1
u(τ − t 0 ) dτ representing the response to u(t − t0 ).
Rt
d Calculating t−1 cos(ωτ ) dτ gives the following response: (sin(ωt) −
sin(ωt − ω))/ω = R t2 sin(ω/2) cos(ωt − ω/2)/ω.
e Calculating t−1 sin(ωτ ) dτ gives the following response: (− cos(ωt) +
cos(ωt − ω))/ω = 2 sin(ω/2) sin(ωt − ω/2)/ω.
f From the response to cos(ωt) in d it follows that the amplitude response
is | 2 sin(ω/2)/ω |.
g From the response to cos(ωt) in d it follows that the phase response
is −ω/2 if 2 sin(ω/2)/ω ≥ 0 and −ω/2 + π if 2 sin(ω/2)/ω < 0. From



1

,2 Answers to selected exercises for chapter 1



phase and amplitude response the frequency response follows: H(ω) =
2 sin(ω/2)e−iω/2 /ω.
1.11 a The frequency response of the cascade system is H1 (ω)H2 (ω), since the
reponse to eiωt is first H1 (ω)eiωt and then H1 (ω)H2 (ω)eiωt .
b The amplitude response is | H1 (ω)H2 (ω) | = A1 (ω)A2 (ω).
c The phase response is arg(H1 (ω)H2 (ω)) = Φ1 (ω) + Φ2 (ω).
˛ ˛ √
1.12 a The amplitude response is | 1 + i | ˛ e−2iω ˛ = 2.
b The input u[n] = 1 has frequency ω = 0, initial phase 0 and amplitude
1. Since eiωn 7→ H(eiω )eiωn , the response is H(e0 )1 = 1 + i for all n.
c Since u[n] = (eiωn + e−iωn )/2 we can use eiωn 7→ H(eiω )eiωn to obtain
that y[n] = (H(eiω )eiωn + H(e−iω )e−iωn )/2, so y[n] = (1 + i) cos(ω(n − 2)).
d Since u[n] = (1 + cos 4ωn)/2, we can use the same method as in b and
c to obtain y[n] = (1 + i)(1 + cos(4ω(n − 2)))/2.
1.13 a The power is the integral of f 2 (t) over [−π/ | ω | , π/ | ω |], times | ω | /2π.
Now cos2 (ωt + φ0 ) integrated over [−π/ | ω | , π/ | ω |] equals π/ | ω | and
cos(ωt) cos(ωt + φ0 ) integrated over [−π/ | ω | , π/ | ω |] is (π/ | ω |) cos φ0 .
2 2
Hence, the power equals (A R 1 + 2AB cos(φ0 ) + B )/2.
b The energy-content is 0 sin2 (πt) dt = 1/2.

1.14 The power is the integral of | f (t) |2 over [−π/ | ω | , π/ | ω |], times | ω | /2π,
which in this case equals | c |2 .
1.16 a The amplitude response is | H(ω) | = 1/(1 + ω 2 ). The phase response
is arg H(ω) = ω.
b The input has frequency ω = 1, so it follows from eiωt 7→ H(ω)eiωt that
the response is H(1)ieit = iei(t+1) /2.
1.17 a The signal is not periodic since sin(2N ) 6= 0 for all integer N .

b The frequency response H(eiω ) equals A(eiω )eiΦe , hence, we obtain
that H(e ) = e /(1 + ω ). The response to u[n] = (e2in − e−2in )/2i is
iω iω 2

then y[n] = (e2i(n+1) − e−2i(n+1) )/(10i), so y[n] = (sin(2n + 2))/5. The
amplitude is thus 1/5 and the initial phase 2 − π/2.
1.18 a If u(t) = 0 for t < 0, then the integral occurring in y(t) is equal to 0 for
t < 0. For t0 ≥ 0 the expression u(t − t0 ) is also causal. Hence, the system
is causal for t0 ≥ 0.
b It follows from the boundedness of u(t), so | u(τ ) | ≤ K for some con-
stant K, that y(t) is also bounded (use the triangle inequality and the
inequality from exercise 1.9b). Hence, the system is stable.
c If u(t) is real, then the integral is real and so y(t) is real. Hence, the
system is real.
d The response is
Z t
y(t) = sin(π(t − t0 )) + sin(πτ ) dτ = sin(π(t − t0 )) − 2(cos πt)/π.
t−1


1.19 a If u[n] = 0 for n < 0, then y[n] is also equal to 0 for n < 0 whenever
n0 ≥ 0. Hence, the system is causal for n0 ≥ 0.
b It follows from the boundedness of u[n], so | u[n] | ≤ K for some constant
K and all n, that y[n] is also bounded (use the triangle inequality):
˛ ˛
n
˛ X ˛ n
X Xn
| y[n] | ≤ | u[n − n0 ] | + ˛ u[l] ˛ ≤ K + | u[l] | ≤ K + K,
˛ ˛
˛ ˛
l=n−2 l=n−2 l=n−2

, Answers to selected exercises for chapter 1 3



which equals 4K. Hence, the system is stable.
c If u[n] is real, then u[n − n0 ] is real and also the sum in the expression
for y[n] is real, hence, y[n] is real. This means that the system is real.
d The response to u[n] = cos πn = (−1)n is
n
X
y[n] = (−1)n−n0 + (−1)l = (−1)n−n0 + (−1)n (1 − 1 + 1)
l=n−2
= (−1)n (1 + (−1)n0 ).

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