5 nov 2007 · Finally (18) and (19) are from Euler's eiθ = cos θ + i sin θ 3 Solution Examples • Solve 2ux + 3ut = 0; u(x, 0) = f(x)
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5 nov 2007 · Finally (18) and (19) are from Euler's eiθ = cos θ + i sin θ 3 Solution Examples • Solve 2ux + 3ut = 0; u(x, 0) = f(x)
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1 jan 2015 · au at au ax a2u ax2 from which it is obvious that the solution given satisfies Ut = kuxx transformation x = T cos e and y = T sin e, to leave the polar equation: 3 4(cose + -1 + 1 1 18 By the usual Fourier coefficient formula,
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Fourier Transform Examples
Steven Bellenot
November 5, 2007
1 Formula Sheet
F[f(x)] =bf(w) or simplyF[f] =bf(1)
F1[bf(w)] =f(x) or simplyF1[bf] =f(2)
F[f(x)](w) =bf(w) =1p2Z
1 1 f(x)eiwxdx(3) F1[bf(w)](x) =1p2Z
11bf(w)eiwxdw(4)
F[u(x;t)](w;t) =bu(w;t) =1p2Z
1 1 u(x;t)eiwxdx(5) F1[bu(w;t)](x;t) =1p2Z
1 1 bu(w;t)eiwxdw(6)F[af(x) +bg(x)](w) =abf(w) +bbg(w)(7)
F[f0(x)](w) =iwbf(w)(8)
F[f00(x)](w) =w2bf(w)(9)
F[@@xu(x;t)](w;t) =iwbu(w;t)(10)
F[@2@x2u(x;t)](w;t) =w2bu(w;t)(11)
F[@@tu(x;t)](w;t) =@@tbu(w;t)(12)
F[@2@t2u(x;t)](w;t) =@2@t2bu(w;t)(13)
[fg](x) =Z 1 1 f(w)g(xw)dw= [gf](x) =Z 1 1 f(xw)g(w)dw(14)F[fg] =p2bfbg(15)
f(xa) =F1[eiwabf(w)](16)F[exp(ax2)] =1p2aexp(w24a)(17)
sinwa=eiwaeiwa2i(18) coswa=eiwa+eiwa2(19)12 Formula Justications
Equations (1), (3) and (5) readly say the same thing, (3) being the usual denition. (Warning, not all
textbooks dene the these transforms the same way.) Equations (2), (4) and (6) are the respective inverse
transforms.What kind of functions is the Fourier transform dened for? Clearly iff(x) is real, continuous and zero
outside an interval of the form [M;M], thenbfis dened as the improper integralR11reduces to the
proper integralRM M. Iff(x) decays fast enough asx! 1andx! 1, thenbf(w) is also dened. Howeverthere are much larger collections of objects for which the transform can be dened. For example, if(x)
is the Dirac delta function, then b(w) = 1=p2the constant function. Also one can see that the inverse transform of(w) is the constant function 1=p2. Equation (7) follows because the integral is linear, the inverse transform is also linear. Equation (8) follows from integrating by parts, usingu=eiwxanddv=f0(x)dxand the fact thatf(x) decays asx! 1andx! 1. Z 1 1 f0(x)eiwxdx=f(x)eiwx1 x=1Z 1 1 f(x)iweiwxdx= (00) +iwbf(w) Equation (9) is just (8) applied twice. And (10) and (11) are just restatements with more variables. Equation (12) requires going back to the denition of the limit. F u(x;t+ t)u(x;t)t =Z 11u(x;t+ t)u(x;t)teiwxdx
bu(w;t+ t)bu(w;t)t!@@tbu(w;t)One now takes limits of both sides. We need to know that the fourier transform is continuous with this kind
of limit, which is true, but beyond our scope to show. Equation (13) is (12) done twice. Equation (14) saysfg=gfand this is done by substitution; useu=xw;du=dw;w=xu; u=1whenw=1andu=1whenw=1to obtain Z 1 w=1f(w)g(xw)dw=Z 1 u=1f(xu)g(u)(du) =Z 1 u=1f(xu)g(u)du which used the negative sign to change the order of integration.Equation (15) uses
Z 1 x=1(fg)eiwxdx=Z 1 x=1Z 1 s=1f(s)g(xs)dseiwxdx Z 1 x=1Z 1 s=1f(s)g(xs)eiwxdsdx Z 1 s=1Z 1 x=1f(s)g(xs)eiwxdxds Note that we have interchanged the order of integration, now we letu=xs,x=u+s,du=ds,u=1 whenx=1 =Z 1 s=1Z 1 u=1f(s)g(u)eiw(u+s)duds Z 1 s=1f(s)eiwsdsZ 1 u=1g(u)eiwudusince theuterms are constant as the integral with respect todsis concerned. So the inital expression isp2F[fg] and the end epression isp2bfp2bgwhich is where thep2factor comes from.
To show equation (16) we computeF[f(xa)] and substituteu=xa;x=u+a;dx=du: Z 1 x=1f(xa)eiwxdx=Z 1 u=1f(u)eiw(u+a)du=eiwaZ 1 u=1f(u)eiwudu=eiwabf(w) For the bell shaped curves, equation (17) is done in earlier editions of the textbook. We repeat the calculation for reference onlyF[exp(ax2)] =1p2Z
1 1 exp(ax2iwx)dx 1p2Z 1 1 exp pax+iw2pa 2 +iw2pa 2! dx1p2exp
w24a Z1 1 exp pax+iw2pa 2! dx We claim that the integral above has valueI=pa. First we do the substitution v=pax+iw2pa so thatdv=padxand hence I=Z 1 1 exp(v2)dvpaThe result follows since
Z1 1 exp(v2)dv=p comes from Calculus 3. Finally (18) and (19) are from Euler'sei= cos+isin.3 Solution ExamplesSolve 2ux+ 3ut= 0;u(x;0) =f(x) using Fourier Transforms.
Take the Fourier Transform of both equations. The initial condition gives bu(w;0) =bf(w) and the PDE gives2(iwbu(w;t)) + 3@@tbu(w;t) = 0
Which is basically an ODE int, we can write it as
@@tbu(w;t) =23iwbu(w;t) and which has the solution bu(w;t) =A(w)e2iwt=3 and the initial condition above impliesA(w) =bf(w) bu(w;t) =bf(w)e2iwt=3 We are now ready to inverse Fourier Transform and equation (16) above, witha= 2t=3, says that u(x;t) =f(x2t=3) Solve 2tux+ 3ut= 0;u(x;0) =f(x) using Fourier Transforms. Take the Fourier Transform of both equations. The initial condition gives bu(w;0) =bf(w) and the PDE gives2t(iwbu(w;t)) + 3@@tbu(w;t) = 0
Which is basically an ODE int, we can write it as
@@tbu(w;t) =23iwtbu(w;t) and which has the solution (separate variables) bu(w;t) =A(w)eiwt2=3 and the initial condition above impliesA(w) =bf(w) bu(w;t) =bf(w)eiwt2=3 We are now ready to inverse Fourier Transform and equation (16) above, witha=t2=3, says that u(x;t) =f(xt2=3)Solve the heat equationc2uxx=ut;u(x;0) =f(x) Take the Fourier Transform of both equations. The initial condition gives bu(w;0) =bf(w) and the PDE gives c2(w2bu(w;t)) =@@tbu(w;t)
Which is basically an ODE int, we can write it as
@@tbu(w;t) =c2w2bu(w;t)Which has the solution
bu(w;t) =A(w)ec2w2t and the initial condition above impliesA(w) =bf(w) bu(w;t) =bf(w)ec2w2t We are now ready to inverse Fourier Transform: First use (17) with14a=c2tora=14c2t
to note that p22cptF exp(x24c2t =ec2w2tSo that by the convolution equation (15)
u(x;t) =f(x)12cpt exp x24c2t Solve the wave equationc2uxx=utt;u(x;0) =f(x) andut(x;0) =g(x) Take the Fourier Transform of both equations. The initial condition gives bu(w;0) =bf(w) but(w;0) =@@tbu(x;t)t=0=bg(w) and the PDE gives c2(w2bu(w;t)) =@2@t2bu(w;t)
Which is basically an ODE int, we can write it as
2@t2bu(w;t) +c2w2bu(w;t) = 0
Which has the solution, and derivative
bu(w;t) =A(w)coscwt+B(w)sincwt @@tbu(w;t) =cwA(w)sincwt+cwB(w)coscwt so the rst initial condition givesA(w) =bf(w) and the second givescwB(w) =bg(w) make the solution bu(w;t) =bf(w)coscwt+bg(w)wsincwtcLets rst look at
b f(w)coscwt=bf(w)eiwct+eiwct212bf(w)eicwt+bf(w)eicwt
Applying equation (16) witha=ctand witha=ctyields
F1[bf(w)coscwt] =12(f(x+ct) +f(xct))
The second piece
bg(w)wsincwtc=bg(w)iwsincwtic and now the rst factor looks like an integral, as a derivative with respect toxwould cancel theiwin bottom. Dene h(x) =Z x s=0g(s)dsBy fundamental theorem of calculus
h0(x) =g(x)
and by (8) bg(w) =iwbh(w)Sobg(w)wsincwtc=bh(w)eicwteicwt2i
1ic12cbh(w)eicwtbh(w)eicwt
Applying equation (16) witha=ctand witha=ctyields
F1[1wcbg(w)sincwt] =12c(h(x+ct)h(xct))
12c Zx+ct 0 g(s)dsZ x+ct 0 g(s)ds =12cZ x+ct xctg(s)ds Putting both pieces together we get D'Alembert's solution u(x;t) =12(f(xct) +f(x+ct)) +12cZ x+ct xctg(s)ds (The careful reader will notice that there might be a problem nding the fourier transform ofh(x) due to likelyhood of limx!1h(x)6= 0. But that is a story for another day.)Solveuxx+uyy= 0 on innite strip (1;1)[0;1] with boundary conditionsu(x;0) = 0 and
u(x;1) =f(x). Take the Fourier Transform of all equations. The boundary conditons yield bu(w;0) = 0 bu(w;1) =bf(w) and the PDE gives w2bu(w;y) +@2@y2bu(w;y) = 0 Which is basically an ODE iny, with a solution of the form bu(w;y) =A(w)coshwy+B(w)sinhwy They= 0 condition impliesA(w) = 0 and they= 1 impliesB(w) =bf(w)sinhw
bu(w;y) =bf(w)sinhwysinhwWe get the solution
u(x;y) =1p2Z 1w=1bf(w)sinhwysinhweiwxdwSolveux+ut= 0;u(x;0) =f(x) (Old Homework Problem) Take the Fourier Transform of both
equations. The initial condition gives bu(w;0) =bf(w) and the PDE gives iwbu(w;t) +@@tbu(w;t) = 0