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Applications of Fourier Applications of Fourier
Transforms in Solving Transforms in Solving
Differential EquationsDifferential Equations
MIDN 1/C Allison TylerMIDN 1/C Allison Tyler
United States Naval AcademyUnited States Naval Academy
18 April 200718 April 2007
HistoryHistory
�� Daniel BernoulliDaniel Bernoulli
�� Known for the Known for the
Bernoulli PrincipleBernoulli Principle
�� Solved the wave Solved the wave
equation in 1720equation in 1720’’s s
using techniques using techniques
Fourier later would Fourier later would
employemploy
�� Worked with Euler in Worked with Euler in
St. PetersburgSt. Petersburg
HistoryHistory
�� Jean le Rond d'Alembert Jean le Rond d'Alembert
�� French mathematicianFrench mathematician
�� Worked with Euler and Worked with Euler and
Bernoulli on the wave Bernoulli on the wave
equationequation
�� ““FoundFound”” the Cauchythe Cauchy--
Riemann equations Riemann equations
decades before Cauchy decades before Cauchy
or Riemann didor Riemann did
HistoryHistory
�� Joseph FourierJoseph Fourier
�� French mathematicianFrench mathematician
�� Served in Egypt while Served in Egypt while
in Napoleonin Napoleon’’s Armys Army
�� Solved the heat Solved the heat
equation and won equation and won
award for it in 1811, award for it in 1811,
published work in published work in
1822 in 1822 in ThThééorie orie
analytique de la analytique de la
chaleurchaleur
HistoryHistory
�� Erwin SchrErwin Schröödingerdinger
�� ViennaVienna--born physicistborn physicist
�� Artilleryman in WWIArtilleryman in WWI
�� Best known for Best known for ““SchrSchröödingerdinger’’s s
CatCat”” and the Schrand the Schröödinger dinger
EquationEquation
�� Won the Nobel Prize in 1933Won the Nobel Prize in 1933
�� Worked with EinsteinWorked with Einstein
�� Fled Germany and Austria Fled Germany and Austria
several times after several times after ““insultinginsulting””
the Nazisthe Nazis
ConceptsConcepts
�� The following concepts were usedThe following concepts were used
Fourier Coefficients
dxexfP
C P
inxP
n
π2
0)(
1−
∫=
Fourier Series
∑∞
−∞=
=n
P
inx
neCxfFS
π2
))((
Superposition Principle
The Superposition Principle states that for a linear system,
the sum of solutions for that system is also a solution.
ConceptsConcepts
�� OrthogonalityOrthogonality of of SinesSines
1 ;sin)( ≥
= n
L
xnxf
π
∫ =
L
dxL
xn
L
xm
L 00sinsin
2 ππ
nm ≠
Given
for
,
ConceptsConcepts
�� Proof of Proof of OrthogonalityOrthogonality
( )
( )
( )
( )
( )( )( )
( )( )( )
( ) ( )( )
( ) ( )
0
002
002
0sin0sin2
2
sin
2
sin2
2
sin
2
sin2
sinsin2
0
0
=
−−−=
−−
+
+−
−
−=
+
+
−−
−
=
∫
LL
Lnm
nm
nm
nm
L
L
xnm
L
xnm
L
xnm
L
xnm
Ldx
L
xn
L
xm
L
L
L
π
π
π
π
π
π
π
π
ππ
Wave EquationWave Equation
�� People studied the People studied the
wave equation wave equation
because they were because they were
intrigued by string intrigued by string
instruments. instruments.
�� Bernoulli defined Bernoulli defined
nodes and nodes and
frequencies of frequencies of
oscillation oscillation
Derivation of Wave EquationDerivation of Wave Equation
�� To solve the wave equation, we assume that it is a To solve the wave equation, we assume that it is a
separable equation:separable equation:
u(x,tu(x,t)=)=X(x)T(tX(x)T(t))
)()0,( )()0,( :Conditions Initial
0),( 0),0( :conditionsBoundary 2
22
2
2
xgxdt
uxfxu
tLutux
u
t
u
=∂
=
==∂
∂=
∂
∂ω
The Wave Equation
DerivationDerivation
'' 2
2
XTt
uXT'
t
u=
∂
∂=
∂
∂
constant a equal they if is equal be will
sides twoheonly way t thebecause ''''
:get weVariables of SeparationBy
''''
'' '
2
2
2
22
2
2
2
2
λω
ωω
−==
=⇒∂
∂=
∂
∂⇒
=∂
∂=
∂
∂
X
X
T
T
TXXTx
u
t
u
TXx
uTX
x
u
Solve for X as in the heat equation and you get
sin1
∑∞
=
=
n
n xL
nCX
π
Solve for T
)sin()cos( :Therefore
0)(
0'' ''
21
22
22
tDtDT
niL
nDTD
TTTT
nn
n
γγ
γπω
λω
λωλω
+=
Ζ∈±=
±=⇒=+
=+⇒−=
Thus we get
( )
( ))sin()cos( sin),(
Principleion Superpositby )sin()cos( sin),(
)()(),(
1
1
tEtDxL
ntxu
tEtDxL
nCtxu
tTxXtxu
nnnn
n
nnnn
n
n
γγπ
γγπ
+
=
+
=
=
∑
∑∞
=
∞
=
( )
( )
( ) )( sin)0cos()0sin( sin)0,(
)cos()sin( sin),(
)()0,(
)sin()(2
where
)( sin)0sin()0cos( sin)0,(
)()0,( :Conditions Initial theUsing
11
1
0
11
xgxL
nEEDx
L
nx
t
u
tEtDxL
ntx
t
u
xgxt
u
dxxxfL
D
xfxL
nDEDx
L
nxu
xfxu
n
nnnnn
n
n
nnnn
n
n
L
nn
n
nnnnn
n
=
=+−
=
∂
∂
+−
=
∂
∂
=∂
∂
=
=
=+
=
=
∑∑
∑
∫
∑∑
∞
=
∞
=
∞
=
∞
=
∞
=
πγγ
πγ
γγπ
γ
λ
πγγ
π
∫=L
n
n
n dxxxgL
E0
)sin()(2
where λγ
Final Solution
( )
∫∫
∑
==
+
=
∞
=
L
n
n
n
L
nn
nnnn
n
dxxxgL
EdxxxfL
D
tEtDxL
ntxu
00
1
)sin()(2
and )sin()(2
where
)sin()cos( sin),(
λγ
λ
γγπ
Heat EquationHeat Equation
�� The reason we solve the heat equation is The reason we solve the heat equation is
to find out what happens to a length of to find out what happens to a length of
metal/plastic when heat is applied (the metal/plastic when heat is applied (the
temperature distribution over time)temperature distribution over time)
Derivation of Heat EquationDerivation of Heat Equation
�� The assumption made by Bernoulli and adopted The assumption made by Bernoulli and adopted
by Fourier was that the equation by Fourier was that the equation u(x,tu(x,t) was ) was
separable:separable:
u(x,tu(x,t)=)=X(x)T(tX(x)T(t))
)()0,( :Conditions Initial
0),( 0),0( :ConditionsBoundary x
k2
2
xfxu
tLutuu
t
u
=
==∂
∂=
∂
∂
The Heat Equation
DerivationDerivation
TXx
uTX
x
u
XTt
u
'' '
'
2
2
=∂
∂=
∂
∂
=∂
∂
TkXXTx
uk '''
t
u2
2
=⇒∂
∂=
∂
∂
The only way this can occur is if both sides equal a constant
λ−==X
X
kT
''T'
Ζ∈
=⇒==⇒==
====
+=⇒
±=⇒=+
=+⇒−=
n L
n when 0sin 0sin)(
0)0sin( and 1)0cos( because 0)0(
:get weconditionsboundary theUsing
)sin()cos(
0)(
0'' ''
2
2
1
21
2
πλπλλλ
λλ
λλ
λλ
nnLLLCLX
CX
xCxC X
iDXD
XXXX
∑∞
=
=
1
Principleion Superposit by the sin :Thereforen
n xL
nAX
π
Now Solve for X
Now Solve for T
( )∑ ∑∞
=
∞
=
−−
−
==
=
=⇒
−=⇒=+
=+⇒−=
1 1
sin)sin(),(
)()(),( :get weThus,
0)(
0' '
n n
kt
nnnn
kt
kt
nexAxABetxu
tTxXtxu
BeT
kDTkD
kTTkTT
λλ
λ
λλ
λλ
λλ
dxxxfL
A
xfxAxu
xfxu
L
nn
n
nn
∫
∑
=⇒
==
=∞
=
0
1
)sin()(1
)()sin()0,(
)()0,( :condition initial theUsing
λ
λ
Final Solution
∑ ∫∞
=
− ==1
0)sin()(
1 where)sin(),(
n
L
nn
kt
nn dxxxfL
AexAtxu n λλ λ
Euler and Euler and dd’’AlembertAlembert
�� They too solved the wave equation, but by They too solved the wave equation, but by using using ““arbitrary functions representing two waves, one moving along the string to the right, the other to the left, with a velocity equal to the constant c.”
� Bernoulli’s solution was a summation of sine waves
� No one could tell if the two solutions could be reconciled
Until Fourier Came AlongUntil Fourier Came Along
� “Fourier showed that almost any function, when regarded as a periodic function over a given interval, can be represented by a trigonometric series of the form
f(x)=ao+a1cosx+a2cos2x+a3cos3x… + b1sinx+b2sin2x+b3sin3x…
where the coefficients ai and bi can be found from f(x) by computing certain integrals.”
Modern Application:Modern Application:SchrSchröödingerdinger
�� The SchrThe Schröödinger Equation was published dinger Equation was published
in a series of papers on wave mechanics in a series of papers on wave mechanics
in 1926in 1926
�� The solutions to the SchrThe solutions to the Schröödinger Equation dinger Equation
are wave functions that express the are wave functions that express the
probability that a particle (specifically the probability that a particle (specifically the
electron of a hydrogen atom) will be in a electron of a hydrogen atom) will be in a
certain location at any observationcertain location at any observation
Solution to SchrSolution to Schröödingerdinger
�� As with the heat and wave equations, we assume that the As with the heat and wave equations, we assume that the
SchrSchröödinger Equation is separable:dinger Equation is separable:
u(x,tu(x,t)=)=X(x)T(tX(x)T(t))
The Schrödinger Equation
serg
xfx
tLttm
i
t
−=
=
==∂
∂=
∂
∂
27-
2
2
1.054x10
)()0,( :Conditions Initial
0),( 0),0( : ConditionsBoundary 2
h
h
ψ
ψψψψ
SolutionSolution
Equations WaveandHeat theSimilar to '''
:get we variablesof separationBy
'''
2Let ''
2
'
)()(),(
2
2
2
2
cX
X
isT
T
TisXXT
xis
t
msX
m
i
x
XTt
tTxXtx
−==
=
∂
∂=
∂
∂
==∂
∂
=∂
∂
=
ψψ
ψ
ψ
ψ
hh
Assume Ψ(x,t) is separable
Solve for T:
isct
disctdisct
beT
eeeT
disctT
iscT
T
−
−+−
=
==
+−=
=
)ln(
' :Tfor solve To
Solve for X:
)sin()cos(
0)(
0'' ''
'' :Xfor solve To
21
2
xcaxcaX
icDXcD
cXXcXX
cX
X
+=
±=⇒=+
=+⇒−=
−=
( )
∑∞
=
−
−
=
=
=
∈
===
1
2
2
n12
2
sin),(
principleion superposit By the
sin),(
)()(),(get weTherefore
and 0 Where sin
n
tL
nis
n
isct
exL
nbtx
beLcatx
tTxXtx
ZnL
ncaLcaX
ππ
ψ
ψ
ψ
π
Using the boundary conditions we get the same results as before:
Using the initial conditions:
∫
∑
=⇒
=
=
∞
=
L
n
n
n
dxxL
nxf
Lb
xfxL
nbx
0
1
sin)(2
)(sin)0,(
π
πψ
SAGESAGE
�� The graphs were produced using the open The graphs were produced using the open
source program SAGE by Prof. W. David source program SAGE by Prof. W. David
Joyner, USNAJoyner, USNA
httphttp://://modular.math.washington.edumodular.math.washington.edu/sage/sage
ReferencesReferences
�� DebnathDebnath, , LokenathLokenath. . Integral Transforms and Their Applications.Integral Transforms and Their Applications. New York: CRC New York: CRC Press, 1995.Press, 1995.
�� FarlowFarlow, Stanley J. , Stanley J. Partial Differential Equations for Scientists and EngineersPartial Differential Equations for Scientists and Engineers. New . New York: Dover Publications, Inc., 1993.York: Dover Publications, Inc., 1993.
�� OO’’Connor, J.J. and E.F. Robertson. Connor, J.J. and E.F. Robertson. ““Daniel Bernoulli.Daniel Bernoulli.”” University of St. Andrews University of St. Andrews School of Mathematics and StatisticsSchool of Mathematics and Statistics (accessed 10 February 2007).(accessed 10 February 2007).
�� ------. . ““Erwin Rudolf Josef Alexander SchrErwin Rudolf Josef Alexander Schröödinger.dinger.”” University of St. Andrews School of University of St. Andrews School of Mathematics and StatisticsMathematics and Statistics (accessed 12 March 2007).(accessed 12 March 2007).
�� ------. . ““Jean le Jean le RondRond dd’’AlembertAlembert..”” University of St. Andrews School of Mathematics and University of St. Andrews School of Mathematics and StatisticsStatistics (accessed 11 March 2007).(accessed 11 March 2007).
�� ------. . ““Joseph Fourier.Joseph Fourier.”” University of St. Andrews School of Mathematics and StatisticsUniversity of St. Andrews School of Mathematics and Statistics(accessed 12 March 2007).(accessed 12 March 2007).
�� Taylor, John, Chris Taylor, John, Chris ZafiratosZafiratos and Michael A. and Michael A. DubsonDubson. . Modern Physics for Scientists Modern Physics for Scientists and Engineersand Engineers. San Francisco: Benjamin. San Francisco: Benjamin--Cummings Pub. Co., 2003.Cummings Pub. Co., 2003.
�� Van Van VleckVleck, Edward B. , Edward B. ““The Influence of FourierThe Influence of Fourier’’s Series upon the Development of s Series upon the Development of
Mathematics.Mathematics.”” ScienceScience New Series, Vol. 39, No. 995. (Jan. 23, 1914) 113New Series, Vol. 39, No. 995. (Jan. 23, 1914) 113--124. 124.
�� Walker, James S. Walker, James S. Fast Fourier Transforms 2nd Ed.Fast Fourier Transforms 2nd Ed. New York: CRC Press, 1996.New York: CRC Press, 1996.