FOURIER TRANSFORMS
Solution: Fourier transform of is given by. = …..?. Taking inverse Fourier transform 2.5 Applications of Fourier Transforms to boundary value problems.
Practice Problem Set #2 Solutions
Replace the time variable “t” with the frequency variable “?” in all signals in problems 4 5 and 6 and repeat to obtain the inverse Fourier transform of
ECE 45 Homework 3 Solutions
UC San Diego. J. Connelly. ECE 45 Homework 3 Solutions. Problem 3.1 Calculate the Fourier transform of the function. ?(t) = {. 1 ? 2
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8 Matrix Solution of Equations. 33 Numerical Boundary Value Problems. 9 Vectors standard functions and some of the properties of the Fourier transform.
Solutions to Exercises
An Introduction to Laplace Transforms and Fourier Series All of the problems in this question are solved by evaluating the Laplace. Transform explicitly ...
Solutions to Practice Problems for Final Examination
Fs(f)(?) = ?2iF(fo)(?) for all ? ? 0. Solution: We can find the Fourier sine transform of the given function using the suggested method or we can find it
Finite Fourier transform for solving potential and steady-state
13 May 2017 The finite Fourier transform method is one of various analytical techniques in which exact solutions of boundary value problems can be ...
Solutions to Chapter 2 exercises
Solutions to Chapter 2 exercises E Find the Fourier Transform of x and sketch real and imaginary parts
Z Transform Examples And Solutions
do both sides of examples below in discrete fourier transform result of examples and solutions will insure that can grow without saving again.
Solutions to Problems for Infinite Spatial Domains and the Fourier
Solutions to Problems for Infinite Spatial Domains and the Fourier Transform. 18.303 Linear Partial Differential Equations. Matthew J. Hancock. 1 Problem 1.
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Fourier transform finds its applications in astronomy signal processing linear time Solution: To find Fourier Sine transform
[PDF] FOURIER TRANSFORM - MadAsMaths
Find the Fourier transform of an arbitrary function ( ) f x if i ( ) f x is even ii ( ) f x is odd Give the answers as a simplified integral form
[PDF] ECE 45 Homework 3 Solutions - UC San Diego
UC San Diego J Connelly ECE 45 Homework 3 Solutions Problem 3 1 Calculate the Fourier transform of the function ?(t) = { 1 ? 2t t ? 1/2
[PDF] The Fourier transform properties special pairs of transforms
However in elementary cases we can use a Table of standard Fourier transforms together if necessary with the appropriate properties of the Fourier transform
[PDF] Solutions to Chapter 2 exercises
(a) Find the Fourier transform P of p by differentiating it twice and then use FT properties (b) Use the relation between P and the Fourier series coefficients
[PDF] Practice Problem Set Solutions - K-spaceorg
Replace the time variable “t” with the frequency variable “?” in all signals in problems 4 5 and 6 and repeat to obtain the inverse Fourier transform of
[PDF] EE 261 The Fourier Transform and its Applications Fall 2007
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17 août 2020 · The Fourier transform behaves very nicely under several operations of functions We have already seen that the formulas for the solutions of
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Chapter10: Fourier Transform Solutions of PDEs In this chapter we show how the method of separation of variables may be extended to solve PDEs defined on
[PDF] Solutions to Practice Problems for Final Examination
Question 14 Find the Fourier cosine transform of f(x) = { 1 ? x if 0
How do you solve a Fourier transform question?
a really basic use of a fourier transform is with a sound wave. so talking music all of these sound waves are essentially just signals that we hear the way the soundwaves. works is a difference in pressure um in the air which causes different vibrations. and we can pick up these vibrations as different amplitudes.What is practical example of Fourier transform?
Fourier Transform is a mathematical model which helps to transform the signals between two different domains, such as transforming signal from frequency domain to time domain or vice versa. Fourier transform has many applications in Engineering and Physics, such as signal processing, RADAR, and so on.What is Fourier transform used to solve?
Taking the Fourier transform, we find: F(?(x,t=0))=?(x?2). The Fourier transform is 1 where k = 2 and 0 otherwise. We see that over time, the amplitude of this wave oscillates with cos(2 v t). The solution to the wave equation for these initial conditions is therefore ?(x,t)=sin(2x)cos(2vt).
Solutions to Exercises
Exercises 1.4
1. (a) lnt is singular at t = 0, hence the Laplace Transform does not exist.
(b)C{e3t} ;:::: e3te-atdt;:::: __ e(3-a)t ;:::: __ .
100 [ 1 ] 00 1
o3-8 0 8-3
(c) > leMtl for any M for large enough t, hence the Laplace Transform does not exist (not of exponential order). (d) the Laplace Transform does not exist (singular at t = 0). (e) the Laplace Transform does not exist (singular at t = 0). (f) does not exist (infinite number of (finite) jumps), also not defined unless t is an integer.2. Using the definition of Laplace Transform in each case, the integration is
reasonably straightforward: as in part (b) of the previous question. (b) Integrating by parts gives,Integrating by parts again gives the result
8 185186 An Introduction to Laplace Transforms and Fourier Series
(c) Using the definition of cosh(t) gives .c{cosh(t)} = {LX! ete-ddt + LX! e- t e- 3t dt}1{ II} 8
= 2 8 - 1 + 8 + 1 = 82 - 1 .3. (a) This demands use of the first shift theorem, Theorem 1.3, which with
b = 3 is .c{ e- 3tF(t)} = f(8 + 3)
and with F(t) = t 2, using part (b) of the last question gives the answer 2 (8+3)3' (b) For this part, we use Theorem 1.1 (linearity) from which the answer 4 682 8 -4
follows at once. (c) The first shift theorem with b = 4 and F(t) = sin(5t) gives 5 5 (8 + 4)2 + 25 - 82 + 88 + 41'4. When functions are defined in a piecewise fashion, the definition integral
for the Laplace Transform is used and evaluated directly. For this problem we get .c{F(t)} = LX! e- stF(t)dt = 10
1 te-ddt + 12(2 -t)e-Itdt which after integration by parts gives5. Using Theorem 1.8 we get
12 (1 -e-
s 82t} d 1 1
(a) .c te = d8 (8 _ 2) = (8 _ 2)2 d 8 1-8 2 (b) .c{tcos(t)} = d8 1 + 82 = (1 + 82)2The last part demands differentiating twice,
2 8 28
3 - 68(c) .c{t cos(t)} = d82 1 + 82 = (1 + 82)3'
A. Solutions to Exercises 187
6. These two examples are not difficuit: the first has application to oscillating
systems and is evaluated directly, the second needs the first shift theorem with b = 5. (a) C{sin(wt + lPH = 1'X) e- Bt sin(wt + lP)dt and this integral is evaluated by integrating by parts twice using the fol lowing trick. Let I = 1 00 e- 8t sin(wt + lP)dt then derive the formula from which1-ssin(lP)+wcos(lP)
-s2+W2 •M 8-5 s-5
(b) C{e cosh(6t)} = (s _ 5)2 _ 36 = S2 -lOs -11·7. This problem illustrates the difficulty in deriving a linear translation plus
scaling property for Laplace Transforms. The zero in the bottom limit is the culprit. Direct integration yields:C{G(t)} = roo e-otG(t)dt = roo ae{u-b)8Ia F(u)du
io i-bla where we have made the substitution t = au + b so that G(t) = F(u). In terms of f (as) this is ae- 8b f(as) + ae- Bb r O e- aotF(t)dt.
i-bla8. The proof proceeds by using the definition as follows:
which gives the result. Evaluation of the two Laplace Transforms follows from using the results of Exercise 5 alongside the change of scale result just derived with, for (a) a = 6 and for (b) a = 7. The answers are188 An Introduction to Laplace Transforms and Fourier Series
Exercises 2.8
1. If F(t) = cos (at) then F'(t) = -asin(at). The derivative formula thus
givesL:{ -a sin (at)} = sL:{ cos(at)} -F(O).
Assuming we know that L:{cos(at)} = A then, straightforwardly s +a s a 2L:{-asin(at)} = s---1 = ---
S2 +a 2S2 + a
2 i.e L:{sin(at)} = A as expected. s +a2. Using Theorem 2.2 gives
In the text (after Theorem 2.4) we have derived thatL: {lot dU} = tan-
1 in fact this calculation is that one in reverse. The result is immediate. In order to derive the required result, the following manip ulations need to take place:L: { } = LXi e-.t dt
and if we substitute ua = t the integral becomes 100 -"'1£ sin(au) d
e --u. o uThis is still equal
to tan- 1Writing p = as then gives the result. (p
is a dummy variable of course that can be re-Iabelled s.)3. The calculation is as follows:
L: {[ p(v)dv } =
soL: {lot Io
vF(U)dUdV} = ;L: {Io
VF(U)dU} = sI
2/(8} as required.A. Solutions to Exercises 189
4. Using Theorem 2.4 we get
£. { (t cos(au) -cos(bu) dU} = ! 1
00 __ u ___ u_ du.10 U 8 3 a
2 + u 2 b 2 + u 2 1 (8 2 +a 2) These integrals are standard "In" and the result -; In 82 + b2 follows at once.5. This transform is computed directly as follows
£. { 2 Sin(t)tSinh(t) } := £. { e
t } _ £. { e- t s;n(t) } . Using the first shift theorem (Theorem 1.3) and the result of Exercise 2 above yields the result that the required Laplace Transform is equal to tan- 1C 1) -tan-
1 (8 1) = tan- 1 (The identity tan- 1 (x) -tan-1(y) = tan- 1 (;.; ;y) has been used.)6. This follows straight from the definition of Laplace Transform:
lim /(8) = lim [00 e- atF(t)dt = [00 lim e-
atF(t)dt := o.
3-+00 3-+00 J 0 J 0 ..... 00
It also follows from the final value theorem (Theorem 2.13) in that if lima-+oo 8/(8) is finite then by necessity lim.-+oo /(8) := O.7. These problems are all reasonably straightforward
2(28 + 7) 3 1
(a) (8 + 4)(8 + 2) = 8 + 2 + 8 + 4 and inverting each Laplace Transform term by term gives the result 3e- 2t e-4t b) S· ·1 1 8 + 9 2 1 Imlar y 82_9:= 8-3 -8+3 and the result of inverting each term gives 2e 3t -e- 3t and inverting gives the result 1 1
2" + 2" cos(2kt) := cos
2 (kt). 190which inverts to An Introduction to Laplace Transforms and Fourier Series
1 1 1
9s 9(s + 3) 3(s + 3)2
-+ 1)e- 3t99·
(d) This last part is longer than the others. The partial fraction decom position is best done by computer algebra, although hand computation is possible. The result is1 1 3 1 2
(s -2)2(s + 3)3 = -625(s -2) + 25(8 + 3)3 + 3 + 625(s + 3) e 2t e- 3t and the inversion gives 625 (5t -3) + 1250 (25t2 + 20t + 6). 2 88. (a) F(t) = 2 + cos(t) -t 3 as t -t 0, and as -+ -2--1 we also have that
s 8 +81(s) -t 2 + 1 = 3 as s -t 00 hence verifying the initial value theorem.
(b) F(t) = (4+t)2 -t 16 as t -t o. In order to find the Laplace Transform, we expand and evaluate term by term so that sl(s) = 16 + 8/s + 2/s2 which obviously also tends to 16 as s -t 00 hence verifying the theorem once more. 3 19. (a) F(t) = 3 + e-
t -t 3 as t -t 00. f(s) = -+ --so that Sf(8} -t 3 as s 8 + 18 -t 0 as required by the final value theorem.
(b) WithF(t) = t
3 e- t, we have 1(8) = 6/(s + 1)4 and as F(t) -t 0 as t -t 00 and 81(8) also tends to the limit 0 as 8 -t 0 the final value theorem is verified.10. For small enough t, we have that
and using the standard form (or the result on p50): with x = 3/2 gives f{3/2}C{sm(Vt)} = qVt} + ... = --+ ...
83/2and using that f{3/2} = (1/2)r{1/2} = Vii/2 we deduce that
C{sin(Vt)} = + ....
A. Solutions to Exercises 191
Also, using the formula given,
k 1 k s3/2 exp -4s = s3/2 + .... Comparing these series for large values of s, equating coefficients of s-3/2 gives k== Vi. 211. Using the power series expansions for sin and cos gives
and00 t4n+2
sin(t 2) == (2n + I)!00 t4n
cos(t 2) = L(-lt- 2 ,. n. n=OTaking the Laplace Transform term by term gives
'"{ . (2)} )n (4n + 2)!L, sm t = f='o -1 (2n + 1)!s4n+3
and2)} )n (4n)!
£ cos(t = f='o -1 (2n)!s4n+l·
12. Given that Q(s) is a polynomial with n distinct zeros, we may write
P(s) Al A2 Ak An
Q(s) s-al s-a2 s-ak s-an
where the AkS are some real constants to be determined. Multiplying both sides by s -ak then letting s -+ ak gives . P(s) . (s -ak)Ak = hm Q( )(s -ak) == hm P(s) Q() .
• S SUsing I'H6pital's rule now gives
At = P(ak) QI(ak)
for all k == 1,2, ... , n. This is true for all k, thus we have established thatP(s) _ P(ad 1 + ... + P(ak) 1 + ... P(an) 1
Q(s) Q'(ad (s -ad QI(ak) (s -ak) QI(an} (s -an)
Taking the inverse Laplace Transform gives the result£-1 {P(S)} = t P(ak) ea•t
Q(s) k=1 QI(ak)
sometimes known as Heaviside's expansion formula.192 An Introduction to Laplace Transforms and Fourier Series
13. All of the problems in this question are solved by evaluating the Laplace
Transform explicitly.
(a) C{H(t -an = e-otdt = _e -. 100 -a8
a 8 (b) C{h (tn = 10 2 (t + 1)e- 8t dt + lOO 3e- st dt. Evaluating the right-hand integrals gives the solution 1 1 (28 ) - + -e--1. 8 82 (c) c{h(t)} = 10 2 (t + l)e- st dt + 1 00 6e- ot dt.Once again, evaluating gives
(d) As the function h(t) is in fact continuous in the interval [0,00) the formula for the derivative of the Laplace Transform (Theorem 2.2) can be used to give the result !(e- 28-1) at once. Alternative, h can be 8 differentiated (it is 1 -H(t -2)) and evaluated directly.
14. We use the formula for the Laplace Transform of a periodic function The
orem2.19 to give
_ J;c e- BtF(t)dt
C{F(tn -(1 _ e28C) .
The numerator is evaluated directly:
which after routine integration by parts simplifies toThe Laplace Transform is thus
C{F( )} 1 1 (-BC 1)2 1 1 -e-
sc t = 1 _ e2BC 82 e -= 82 1 + eSC which simplifies to 8 12 tanh G8C) .A. Solutions to Exercises 193
Exercises 3.6
1. (a) IT we substitute u = t -r into the definition of convolution then
9 * f = lot g(r)f(t -r)dr
becomes -1 0 g(u -r)f(u)du = 9 * f· (b) Associativity is proved by effecting the transformation (u, r) -t (x, y) where u = t -x -y, and r = y on the expression l t l t-T f * (g * h) = 0 0 f(r)g(u)h(t -r -u)dudr. The area covered by the double integral does not change under this trans formation, it remains the right-angled triangle with vertices (0, t), (0,0) and (t, 0). The calculation proceeds as follows:8(u, r) dudr
= 8(x,y) dxdy = -dxdy so that i t rt-z f * (g * h) = 0 10 f(y)g(t -x -y)h(x)dydx = 1t h(x) [1 t-x f(y)g(t -x -Y)dY] dx = l h(x)[f * g)(t -x)dx = h * (f * g) and this is (f * g) * h by part (a) which establishes the result. (c) Taking the Laplace Transform of the expression f * f- 1 = 1 givesC{f}.C{f-l} = !
8 from whichC{f-l} =
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