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(1)

H. T. Banks and J. K.Raye

Center for Research inScientic Computation

and

Departmentof Mathematics

North CarolinaState University

Raleigh, NC 27695-8205

January25, 2001;revised November5, 2001

Abstract

Weconsidernumericaltechniquesforanonsmoothacousticpressuresystemarisingin

elec-tromagneticinterrogationof dielectricmaterials. Werstdescribeseveralformulationsof

cou-pled electromagnetic/ acousticsystemsthat arisenaturally whentravelingacoustic interfaces

are used as reectors for pulsedmicrowaveinput signalsfor dielectric property and geometry

identication. Wethen developfullyGalerkinschemesinasomewhatnonstandardvariational

formulationofonlytheacousticsystemwithdistributionalinputs. Samplecomputational

nd-ingsusingtheresultinglargealgebraicsystemaregiven.

1 Introduction to electromagnetic/ acoustic problems

An increasingly important class of electromagnetic inverse problems entails using reected

mi-crowave inputimpulse responses to characterize material dielectricproperties aswellasgeometry

(e.g., see [5 ]). These reections satisfy a dissipative form of Maxwell's equations and one goal

involvesidenticationofthepolarizationmechanismrepresentedbyahysteresisterminMaxwell's

equations[8 ],[6 ],[11 ],[3 ]. Foranumberofpolarizationmechanisms(includingmodelssuch asthe

standardDebye andLorentz), these systems have theform(again see [5 ],pages 20-21)

~

r 

E(t;z)+b _

E(t;z)+hE(t;z)

+ R

t

0

k(t s;z)E(s;z) ds c 2

E 00

(t;z)=J(t;z)

(1)

where the hysteresis kernel k is the second time derivative of a polarization susceptibility kernel.

For the problems of interest, this kernel is to be identied using the information contained in

reections of the inputpulse. As explained in[5 ], the formulation (1) is a useful conceptual and

theoreticalformulationforidentifyingtheinternalpolarizationdynamicsandtherebycharacterizing

thedielectricmaterial.

Incertain classesofelectromagneticinterrogation techniques,one mayemployaperfectly

(2)

ing for an underground nonmetal object or indetecting a braintumor. In such cases, it may be

possiblefor a travelingacoustic wave, perhapseven one occurring naturally, to serve as a virtual

interface. In [5 ], the authors describe models and applications for techniques which employ

per-fectly conductive metalbackings andstanding acoustic wavesas reectorsfortheelectromagnetic

waves. In addition, they suggest the possibilityof a technique inwhich a traveling acoustic wave

might beusedas avirtualinterfaceto reectan oncomingelectromagnetic wave.

An essentialfeature of the aforementioned modelsis theinteractionbetween the electromagnetic

and acoustic waves. This interaction can be modeled in various ways. Here we briey outline

several modeling approaches (not all equivalent) foundin the literature. We use interchangeably

the notation used by the original authors (e.g., 

E and @

2

@t 2

E are the same) to facilitate

cross-referencing. We begin bynotingthat in [5 ] theauthors assume that the dielectricmaterial obeys

thegeneralized pressuredependent polarizationrule

1

0 @

2

P

@t 2

=f

0

(p)E+f

1 (p)

@E

@t +f

2 (p)

@ 2

E

@t 2

and make thesimplication

f

0

(p)=0; f

1

(p)=0; f

2

(p)=

0

+p(t;z):

Thisreduces themodelto

1

0 @

2

P

@t 2

=(

0

+p(t;z)) @

2

E

@t 2

; (2)

which isused withstandingacoustic waves inboth[5 ] and [1 ].

Asan alternative to (1), Maxwell'sequationsmaybe writtenintheform

~

r 

E(t;z)+b _

E(t;z)+e 

P(t;z) c 2

E 00

(t;z) =J(t;z): (3)

We note thatif

P(t;z)= Z

t

0

g(t s;z)E(s;z) ds

for some (suÆcientlydierentiable) polarizationsusceptibilitykernel g, equations (1) and (3) are

equivalent,up to theform of thecoeÆcient functions. We seethat thepolarizationmodel(2) can

beusedto replace 

P in(3)to create apressure-dependentelectromagneticsystem(e.g., acoupled

electromagnetic/acoustic system, given thedynamicsforp).

(3)

r 2

E 1

c 2

@

@t 2

E =0:

We note that inone dimension thisis equivalent to (3) with~

r

=1, b=0, and no polarizationor

source term. They then suggest that a change in pressure will produce a change in the index of

refraction; they describe thisperturbation inthe refraction index interms of a variation Æ=

0 in

thedielectricconstant. Thisleadsthento thefollowingequation

r 2

E 1

c 2

@ 2

@t 2

E= Æ=

0

c 2

@ 2

@t 2

E: (4)

Reducedtoone dimension,equation(4)canbewrittenintheformof(3), with~

r

=1,b=0,J=0

and

e 

P = Æ

0 

E:

Thedielectricconstant canbethoughtofasafunctionofthepressureandentropyofthesystem,

~

P and S respectively. Thus

Æ=

@

@ ~

P

S Æ

~

P +

@

@S

~

P ÆS:

Ifthesystem isassumed to beat constant entropy,thisreducesto

Æ=

@

@ ~

P

S Æ

~

P

which can thenbeused in(4)to obtain

r 2

E 1

c 2

@ 2

@t 2

E= 1

c 2

1

0

@

@ ~

P

S p

@ 2

@t 2

E; (5)

wherep=Æ ~

P is thepressurevariation. Wenotethat if

@

@ ~

P

S

isconstant,thepolarizationmodel

in(5) isofthe same formas(2) with

0 =0.

An approach similar to that in [10 ] is found in [4]. The author considers the case where light is

scattered duetouctuationsinthedielectricconstant and assumesthatthese uctuationsarethe

result of uctuationsin thermodynamicvariables, such as pressure, withinthesystem. We follow

hisargumentstopresentamacroscopic viewoftheproblem. Thisbeginswiththeassumptionthat

thescattered eld ~

E is describedbytheequation (after conversionfrom gaussian to MKSunits)

r 2

~

E n

2

c 2



~

E =

0

c 2



~

(4)

n 2

c 2



E E

00

=

0

c 2



P: (7)

We then let be a uctuation in the dielectric constant and be a uctuation in electric

susceptibility. Since

=

0

(1+);

itfollows that

=

1

0 :

We next supposethatthepolarizationdueto theuctuationis given by

~

P =

~

E

0 =

1

0

~

E

0

(8)

where ~

E

0

isthe incident optical eld.

We further assume that density and temperature, and T, are the independent thermodynamic

variablesinorder to representthe dielectricconstant uctuationas

=

@

@

+

@

@T

T:

Under assumptionthatthedielectricconstant has astronger dependenceon densitythanon

tem-perature[4],wecan approximatethisrelationshipby

=

@

@

: (9)

If we then treat the density as dependent on pressure and entropy, p and s (which are now the

independent thermodynamicvariables),we ndthattheuctuation indensitycan be written

=

@

@p

p+

@

@s

s:

Finallysinceourmain interest isthe scatteringdueto variations inacoustic pressure, asopposed

to entropy,we neglectthesecond termand arrive at therelationship

=

@

@p

(5)

~

P = 1

0 @

@ @

@p p

~

E

0 ;

whichcanthenbeusedinequations(6)or(7). Wenotethatthisresultsinanequationverysimilar

to (5).

In ouralternate approach,we considertheideas developed in[2 ]. Here, the authorsproposethat

the coeÆcients in the polarization model (Debye, Lorentz, etc.) can be represented as a linear

functionof pressure. Forthe Debye polarizationmodel,thisleadsto the dierentialequation

_

P =

1

(

0 +

p)

P + (

0 +

p)

(

0 +

p)

E:

Similarly,theLorentzpolarizationmodelcanbeexpressedasthefollowingsecondorderdierential

equation



P + 1

(

0 +

p)

_

P +(

0 +

p)P =(

0 +

p)E:

Either of these two modelscan be coupledwith equation (3)through the 

P term to describe the

electromagnetic/acoustic interaction.

Beforeanyofthese interactionmodelscanbeemployed,however,wemustbeginassessmentofthis

proposed interrogationtechnique by investigatingimpulsegenerated pressurewavesina

heteroge-neous medium. In particular,we considerhere an acoustic pressurewave initiatedbya windowed

sinewave impulsetraveling throughalayeredmediumand formulatethe equationsand boundary

conditions describing thesystem. We explore several approaches to solving theproblem withthe

nite element method and settle on a (somewhat nonstandard) fully Galerkin scheme. We then

discussnumericalndingsobtainedwiththismethod.

2 Wave system formulation

We rst present the decoupled acoustic system of interest inthe problems formulated above. We

initiallywrite theequations that describe the behavior of the traveling acoustic wave in a strong

form. Then we develop a variational formulation for thesystem and discuss diÆcultiesthat arise

whiledoingso.

We considerthewave equationforacousticpressureinamaterialconsisting ofthreehomogeneous

layers. We assume that in the left and right layers of the material the wave propagates with the

same wavespeed,butthatthewavetravelsat adierentspeedinthemiddlelayer. The boundary

conditions are given by the input of windowed sine wave at z = 1 and a no reection, or total

absorbing, conditionat z =0. Since discontinuities (atz

1 and z

2

) are present in the propagating

medium, we also must introduce interfaceconditions. We do thisbyrequiringcontinuityof p(t;)

and c 2

p 0

(t;) at z =z

1

and z = z

2

(6)

continuity of c p will be a natural condition in our weak formulation below. A schematic of the

geometryis given inFigure 1. We supposethatthesystemis initiallyat rest. Then theequations

thatgovern thissystemaregiven by



~ p c

2

(z)p~ 00

=0 (11)

~

p(0;z)=0 p(t;~ 1)=f(t)

_

~

p(0;z)=0

_

~

p(t;0) c(0)~p 0

(t;0) =0

where

c(z)= 8

>

<

>

: c

1

0z<z

1

c

2 z

1

zz

2

c

1 z

2

<z1;

f(t)= (

0 0t;t2

sin( 2

(t )) <t<2:

for0<z

1 z

2

1 and 0<.

speed

c1

speed

c1

c2

no

reflection

speed

input

function

f(t)

Figure 1 Schematic diagram ofgeometry

Since ndinga solutionto thewave equation is normallyan easy exercise insolvingpartial

dier-entialequations, computinga numericalsolutionto thissystemwouldappearto bea simpletask.

However, uniquecharacteristics ofthissystem make solvingit asomewhat more challengingtask.

To treat the nonhomogeneous time dependent Dirichlet boundary condition at z = 1, we make

a change of variables which facilitates niteelement solutions. To obtain a new equation with a

homogeneousboundaryconditionat z=1;we introduceanew state variable pdened by

p(t;z)=p(t;~ z) zf(t): (12)

(7)



p c (z)p +z 

f(t)=0 (13)

p(0;z)=0 p(t;1)=0

_

p(0;z)=0 p(t;_ 0) c

1 p

0

(t;0) c

1

f(t)=0

p(t;z

1

)=p(t;z

1

+) c

2

(z

1 )p

0

(t;z

1 )=c

2

(z

1 +)p

0

(t;z

1 +)

p(t;z

2

)=p(t;z

2

+) c

2

(z

2 )p

0

(t;z

2 )=c

2

(z

2 +)p

0

(t;z

2 +)

(14)

wherec(z)andf(t)areasdenedabove. We observe thatthischangeofvariabledoesprovidethe

desired boundaryconditionat z=1.

Since c(z) is only piecewise continuous in z, we do not expect solutions to the above equation

in strong form in space (i.e., C 2

or even only H 2

in z). Therefore, for both theoretical and

computationalpurposes,itis usefulto writethe systeminweakor variational form inthe spatial

variable. This approach is standard. However, we note that in our change of variables, we have

introduced the term 

f(t) into the wave equation. If we recall that the function f is a windowed

sinewave, werealizethatitssecondderivative 

f(t)includesadeltaimpulseintime(see Figure2).

One thusobserves thatwealso may notbeable to expect solutionsinstrong formin time. Thus,

we may expectdistributionalderivativesinbothtimeand space.

0

0.1

0.2

0.3

0.4

0.5

0.6

0.7

0.8

0.9

1

−1

−0.8

−0.6

−0.4

−0.2

0

0.2

0.4

0.6

0.8

1

t

f

0

0.1

0.2

0.3

0.4

0.5

0.6

0.7

0.8

0.9

1

−30

−20

−10

0

10

20

30

t

fdot

(8)

0

0.1

0.2

0.3

0.4

0.5

0.6

0.7

0.8

0.9

1

−2000

−1500

−1000

−500

0

500

1000

1500

2000

fddot

t

Figure 2(c) Second derivative off(t)

We tried two dierent approaches to deal with potential diÆculties due to lack of smoothness

of solutions. First, we ignored the lack of smoothness of 

f and proceeded with a standard

semi-Galerkinniteelementmethod. Sinceweknowthatoursolutionshouldbeatravelingsinewave(at

leastifwe assumec

1 =c

2

),it wasclearfromtheresultingsimulationsthatthissolutiontechnique

was notadequate. For oursecond approach,weused molliersto smooththe \windowing"of the

functionf andagaincontinuedinthetraditionalwayusingastandardsemi-Galerkinniteelement

method. However, this approach led to solutions that failed to converge to the known solution.

We concludedthatanappropriatewayto solve theproblem mightbeto useafullyGalerkinnite

elementscheme. Forfurtherdiscussionof fullyGalerkinmethods,see, forexample, [7],[9 ].

We let <;>denote theusualL 2

innerproducton (0;1), i.e., <f;g>= R

1

0

f(z)g(z) dz,and we

let < ;>

(a;b)

denote the L 2

inner product on the specied interval(a;b). We dene the spaces

H 1

R

(a;b)=f2H 1

(a;b)j(b)=0g and H 1

L

(a;b)=f2H 1

(a;b)j(a)=0g:

We supposethatp satises(13), (14) and thefollowinghold:

p2H 1

L

(0;T;H 1

R (0;1))

p(;z)2H 2

(0;T) almost everywhere in(0;1)

p(t;)2 ~

Hf2C(0;1):2H 2

( ~

)g almost everywherein(0;T);

where ~

(0;z

1 )[(z

1 ;z

2 )[(z

2 ;1):

(15)

Then

Z

T

0

<p; > dt Z

T

0 <c

2

(z)p 00

;> dt + Z

T

0 

f dt<z;>=0

holdsforall 2H 1

R

(0;1) and forall 2H 1

R (0;T):

(9)

R

T

0

<p;_ > _ dt + R T 0 c 2 1 <p 0 ; 0 > (0;z 1 ) +c 2 2 <p 0 ; 0 > (z 1 ;z 2 ) +c 2 1 <p 0 ; 0 > (z 2 ;1) dt R T 0 _ f _

dt<z;>+<p;_ > j T 0 R T 0 c 2 1 p 0 j z 1 0 +c 2 2 p 0 j z 2 z1+ +c 2 1 p 0 j 1 z2+ dt

+<z;> _

f j T

0 =0:

Wemaythensubstituteourboundary,interface,andinitialconditions(14),aswellastheconditions

on and ,into theabove equation toobtain

R

T

0

<p;_ > _ dt + R T 0 c 2 1 <p 0 ; 0 > (0;z 1 ) +c 2 2 <p 0 ; 0 > (z 1 ;z 2 ) +c 2 1 <p 0 ; 0 > (z 2 ;1) dt R T 0 _ f _

dt<z;>+c

1 R

T

0 _

p(;0)(0) dt c 2

1 R

T

0

f()(0) dt=0:

Thisimplies

R

T

0

<p;_ > _ dt + R T 0 <c 2 (z)p 0 ; 0 > dt R T 0 _ f _

dt<z;>

+c 1 R T 0 _

p(;0)(0) dt c 2

1 R

T

0

f()(0) dt=0:

Thissuggests that ourweak solutionwithp(0;z)=0and p(t;1)=0 shouldsatisfy

R

T

0

<p;_ > _ dt + R T 0 <c 2 (z)p 0 ; 0 > dt R T 0 _ f _

dt<z;>

+c 1 R T 0 _

p(;0)(0) dt c 2

1 R

T

0

f()(0) dt=0

forall 2H 1

R

(0;1) and forall 2H 1

R (0;T).

Thus,we seeksolutions p2H 1

L

(0;T;V),where V H 1

R

(0;1), thatsatisfy

R

T

0

<p;_ > _ dt + R T 0 <c 2 (z)p 0 ; 0 > dt R T 0 _ f _

dt<z;>

+c 1 R T 0 _

p(;0)(0) dt c 2

1 R

T

0

f()(0) dt=0

(16)

forall 2H 1

R

(0;1) and forall 2H 1

R (0;T).

If we assume that our solutions have enough smoothness, i.e., p(t;) 2 ~

H and p(;z) 2 H 2

(0;T);

we can verify thatthisis,infact, adesired weak formof ourequation. Assumingthissmoothness

(10)

R

T

0

<p; > dt R T 0 c 2 1 <p 00

;>

(0;z 1 ) +c 2 2 <p 00

;>

(z 1 ;z 2 ) +c 2 1 <p 00

;>

(z

2 ;1)

dt

+<z;> R

T

0 

f dt+c

1 R

T

0 _

p(;0)(0) dt c 2

1 R

T

0

f()(0) dt

<p;_ > j T

0

<z;> _

f j T 0 + R T 0 c 2 1 p 0 j z1 0 +c 2 2 p 0 j z2 z 1 + +c 2 1 p 0 j 1 z 2 +

dt=0

forall 2H 1

R

(0;1) and forall 2H 1

R

(0;T) withp(0;z)=0and p(t;1)=0.

Then

R

T

0

<p; > dt R T 0 <c 2 (z)p 00

;> dt+<z;> R T 0  f dt +c 1 R T 0 _

p(;0)(0) dt c 2

1 R

T

0

f()(0) dt+<p(0;_ );> (0)

R T 0 c 2 1 p 0

(;0)(0) dt

+ R T 0 (z 1 ) c 2 1 p 0 (;z 1 ) c 2 2 p 0 (;z 1 +) (z 2 ) c 2 1 p 0 (;z 2 +) c 2 2 p 0 (;z 2 ) dt =0 (17)

forall 2H 1

R

(0;1) and forall 2H 1

R

(0;T) withp(0;z)=0and p(t;1)=0.

If we choose 2 H 1

I

(0;1) = f 2H 1

(0;1)j(0) =(1) =0; (z

1

) = (z

2

) =0g H 1

R

(0;1) and

2H 1

0

(0;T)=f 2H 1

(0;T)j (0)= (T) =0gH 1

R

(0;T), thenwehave

Z

T

0

<p; > dt Z T 0 <c 2 (z)p 00

;> dt <z;> Z

T

0 

f dt=0

forall 2H 1

I

(0;1) and forall 2H 1

0 (0;T).

Since 2H 1

0

(0;T) is arbitrary,thisimpliesthat

<p; > <c 2

(z)p 00

;> 

f <z;>=0

forall 2H 1

I (0;1).

Hence,sinceH 1

I

(0;1) is denseinL 2 (0;1),  p c 2 (z)p 00 

fz=0

intheL 2

(11)

c 1 R T 0 _

p(;0)(0) dt c 2

1 R

T

0

f()(0) dt+<p(0;_ );> (0)

R T 0 c 2 1 p 0

(;0)(0) dt

+ R T 0 (z 1 ) c 2 1 p 0 (;z 1 ) c 2 2 p 0 (;z 1 +) (z 2 ) c 2 1 p 0 (;z 2 +) c 2 2 p 0 (;z 2 ) dt =0 (18)

forall 2H 1

R

(0;1) and forall 2H 1

R (0;T).

Ifwe againchoose2H 1

I

(0;1), wehave

<p(0;_ );>=0

forall 2H 1

I

(0;1), since (0) isarbitrary.

Thus,sinceH 1

I

(0;1) isdense inL 2

(0;1);

_

p(0;z)=0

almost everywhere inz2[0;1]:

Returning to (18), we have

c 1 R T 0 _

p(;0)(0) dt c 2

1 R

T

0

f()(0) dt R T 0 c 2 1 p 0

(;0)(0) dt

+ R T 0 (z 1 ) c 2 1 p 0 (;z 1 ) c 2 2 p 0 (;z 1 +) (z 2 ) c 2 1 p 0 (;z 2 +) c 2 2 p 0 (;z 2 ) dt =0 (19)

forall 2H 1

R

(0;1) and forall 2H 1

R (0;T).

We choose2f2H 1

R

(0;1) :(z

1

)=(z

2

)=0g andnote thatsince(0) is arbitraryin thisset

Z T 0 c 2 1 p 0

(;0)+c

1 _

p(;0) c 2

1 f()

dt=0

forall 2H 1 R (0;T). Since H 1 R

(0;T) is denseinL 2

(0;T),

_

p(t;0) c

1 p

0

(t;0) c

1

(12)

Finally,we nowhave that(19) becomes

Z

T

0 h

(z

1 )

c 2

1 p

0

(;z

1 ) c

2

2 p

0

(;z

1 +)

(z

2 )

c 2

1 p

0

(;z

2 +) c

2

2 p

0

(;z

2 )

i

dt=0

forall 2H 1

R

(0;1) and forall 2H 1

R (0;T):

Ifwechoose2H 1

R

(0;1) such that(z

2

)=0; thenwe have

Z

T

0 (z

1 )

c 2

1 p

0

(;z

1 ) c

2

2 p

0

(;z

1 +)

dt=0

forall 2H 1

R (0;T):

Since (z

1

)is arbitrary andH 1

R

(0;T) isdense inL 2

(0;T),wehave

c 2

1 p

0

(t;z

1 )=c

2

2 p

0

(t;z

1 +)

almost everywhere in[0;T],and bysimilararguments

c 2

1 p

0

(t;z

2 +)=c

2

2 p

0

(t;z

2 )

almost everywhere in[0;T].

Hence, we have shown that if p 2 H 1

(0;T;V) (which implies p(t;) is continuous at z

1 and z

2 )

satises the weak form (16) and p possesses the additional smoothness p(t;) 2 ~

H and p(;z) 2

H 2

(0;T), then

 p c

2

(z)p 00

+z 

f(t)=0 almost everywhere

p(0;z)=0 p(t;1)=0

_

p(0;z)=0almost everywhere p(t;_ 0) c

1 p

0

(t;0) c

1

f(t)=0almost everywhere

p(t;z

1

)=p(t;z

1

+) c

2

(z

1 )p

0

(t;z

1 )=c

2

(z

1 +)p

0

(t;z

1

+) almost everywhere

p(t;z

2

)=p(t;z

2

+) c

2

(z

2 )p

0

(t;z

2 )=c

2

(z

2 +)p

0

(t;z

2

+) almost everywhere.

Thusthevariational form (16) hasbeenveried withthe pointwise interfaceconditions at z =z

1

and z=z

2

(13)

In view of the weak formulation of the previous section for the system, we develop a dual nite

element approximation to the solution. Since we have written the equations weakly in bothtime

and space,itis naturalto use afully(time and space) Galerkinscheme.

Since we seek solutions p 2 H 1

L

(0;T;V) with V H 1

R

(0;1) that satisfy the weak form, it is also

natural to approximate p by a linear combination of piecewise linear basis elements in bothtime

and space. That is,

p(t;z)p MN

(t;z)= M X i=1 N 1 X j=0 a ij i (t) j (z); (20) where i 2H 1 L

(0;T) and

j 2H

1

R

(0;1) are thestandardpiecewiselinear splinefunctions.

We may substitute this approximation into our weak form to obtain dening equations for the

coeÆcients a ij givenby P M i=1 P N 1 j=0 a ij n R T 0 _ i _ dt< j

;>+ R

T

0 i

dt<c 2 (z) 0 j ; 0 >+c 1 R T 0 _ i dt j (0)(0) o n

<z;> R T 0 _ f _

dt+c 2

1 R

T

0

f dt (0) o

=0

forall 2H 1

R

(0;1) and for all 2H 1

R

(0;T). However thisresults intoo many equations, butas

usual,onerestrictsthefamiliesofand forwhichwerequirethesystemtohold. Inparticular,we

requireitfor=

l 2H

1

R

(0;1);l=0;1;:::;N 1andfor =

m

(t)2H 1

R

(0;T);m =0;:::;M 1;

where

l and

m

arepiecewiselinearsplinefunctions. Thisyieldsthereducedsystemofequations

P M i=1 P N 1 j=0 a ij n R T 0 _ i _ m dt< j ; l >+ R T 0 i m

dt<c 2 (z) 0 j ; 0 l >+c 1 R T 0 _ i m dt j (0) l (0) o n <z; l > R T 0 _ f _ m dt+c

2 1 R T 0 f m dt l (0) o =0

foreach l=0;:::;N 1;and foreach m=0;:::;M 1.

For each j = 0;:::;N 1, for each i = 1;:::;M, for each l = 0;:::;N 1; and for each m =

0;:::;M 1,we dene

G ij l m = R T 0 _ i _ m dt< j ; l >+ R T 0 i m

dt<c 2 (z) 0 j ; 0 l > +c 1 R T 0 _ i m dt j (0) l (0)

(14)

H

l m

=<z;

l >

T

0 _

f _

m dt+c

2

1 T

0 f

m dt

l (0):

Thus,we can writeouralgebraicsystemof deningequationsas

M

X

i=1 N 1

X

j=0 a

ij G

ij

l m =H

l m

foreach l=0;:::;N 1;m=0;:::;M 1.

Next,for alli=1;:::;M,we let

~a

i =[a

i0 a

i1

a

iN 1 ];

and forall i=1;:::;M;l=0;:::;N 1;and m=0;:::;M 1,welet

~

G i

l m =

2

6

6

6

6

4 G

i0

l m

G i1

l m

.

.

.

G iN 1

l m 3

7

7

7

7

5 :

Then forall i=1;:::;M;l=0;:::;N 1;and m=0;:::;M 1,

N 1

X

j=0 a

ij G

ij

l m =~a

i ~

G i

l m :

So,forall l=0;:::;N 1and m=0;:::;M 1,

M

X

i=1 N 1

X

j=0 a

ij G

ij

l m =

M

X

i=1 ~a

i ~

G i

l m

= ~a

1 ~

G 1

l m +~a

2 ~

G 2

l m

+:::+~a

M ~

G M

l m

= H

l m :

Furthermore, wedene

=[~a

1 ~a

2

~a

(15)

G= 6

6

6

6

4 ~

G 1

00

~

G 1

N 10 ~

G 1

01

~

G 1

N 11

~

G 1

0M 1

~

G 1

N 1M 1

~

G 2

00

~

G 2

N 10 ~

G 2

01

~

G 2

N 11

~

G 2

0M 1

~

G 2

N 1M 1

.

.

.

~

G M

00

~

G M

N 10 ~

G M

01

~

G M

N 11

~

G M

0M 1

~

G M

N 1M 1 7

7

7

7

5

and

H=[ H

00 H

N 10 H

01 H

N 11

H

0M 1 H

N 1M 1 ]:

Thuswe ndthat ourniteelement scheme can bewritten

G=H (21)

and hence

=HG 1

:

Asusualin niteelement approximations, ifwe chooseN;M suÆcientlylarge, we expectthat by

computing from (21), we can obtaincoeÆcients a

ij

suchthat

p MN

(t;z)= M

X

i=1 N 1

X

j=0 a

ij i (t)

j (z)

isagoodapproximationforponthetimeinterval[0;T]. Thusthecorrespondingp~denedvia(12)

suÆcientlyapproximatesthebehaviorofthesolutionto(11). However,wendthatinpracticeitis

diÆculttoaccuratelyapproximatepoveragiveninterval[0;T

F

]inonestepduetotheconditioning

of the system (21) whenever T

F

is large. (We discuss the details of the implementation later in

thissection.) Instead we rst approximate p over a shorter interval[0;t

1

], where t

1 <T

F

and the

windowedsinewave isentirelywithinthe material by thetime t=t

1

. Notethatwecan changethe

time T in the weak form to accommodate any interval over which we wish to solve. Then, since

we can nd a suÆcient approximation for p over this smaller interval, we are able to accurately

approximatep~and describethe pressureoverthe interval[0;t

1 ].

In order to determine the behavior of the pressureon theentire given interval[0;T

F

], we needto

describe the pressure on the interval (t

1 ;T

F

]. This is equivalent to considering the originalwave

equation forpressurewith boundaryconditions given bya zero inputat z=1 and a noreection

condition at z = 0 but now initiallythere is a windowed sine wave already propagating through

(16)



~

y c (z)y~ =0

~

y(0;z)=g(z) y(t;~ 1)=0

_

~

y(0;z)=h(z)

_

~

y(t;0) c

1 ~ y 0

(t;0)=0

~ y(t;z

1

)=y(t;~ z

1

+) c

2

(z

1 )~y

0

(t;z

1 )=c

2

(z

1 +)~y

0

(t;z

1 +)

~ y(t;z

2

)=y(t;~ z

2

+) c

2

(z

2 )~y

0

(t;z

2 )=c

2

(z

2 +)~y

0

(t;z

2 +)

where

g(z)=p(t;~ z)j

t=t

1

; h(z)= _

~ p(t;z)j

t=t

1 :

Observe that we have a nonhomogeneous initial conditionat t =0. When using a semi-Galerkin

niteelement scheme, nonhomogeneousinitial conditionsare of littleconsequence, butthis isnot

the case for fully Galerkin schemes. To treat thiscase, it is desirable to make another change of

variables. Tothisend, we let

y(t;z)=y(t;~ z)+(t 1)g(z);

and theresultingequations fory are

 y c

2

(z)y 00

+c 2

(z)(t 1)g 00

(z)=0

y(0;z) =0 y(t;1) =0

_

y(0;z) =h(z)+g(z) y(t;_ 0) c

1 y

0

(t;0) =0

y(t;z

1

)=y(t;z

1

+) c

2

(z

1 )y

0

(t;z

1 )=c

2

(z

1 +)y

0

(t;z

1 +)

y(t;z

2

)=y(t;z

2

+) c

2

(z

2 )y

0

(t;z

2 )=c

2

(z

2 +)y

0

(t;z

2 +)

where c(z), g(z), and h(z) are as dened previously, and we use that fact that g 0

(0) = g(1) =

g(0)=0 dueto thelocationof thepressureimpulseentirelywithinthematerial at t=t

1 .

Usingsimilarnotationand techniquesasbefore,we ndthattheweakform of ourequationis

R

T

0

<y;_ > _

dt + R

T

0 <c

2

(z)y 0

; 0

> dt

R

T

0

(t 1) dt<c 2

(z)g 0

; 0

> <h+g;> (0) + R

T

0 c

1 _

y(;0)(0) dt=0

(22)

forall 2H 1

R

(0;1) and forall 2H 1

R

(0;T) whereT =T

F t

1

withy(0;z)=0 and y(t;1)=0.

Thus,we seeksolutions y2H 1

L

(0;T;V), whereV H 1

R

(0;1),that satisfy(22).

Giventheweakform (22)of ourequation,wecan again approximatey byalinear combination of

(17)

y(t;z)y MN

(t;z)= X

i=1 X

j=0

ij i (t)

j (z);

where

i 2H

1

L

(0;T) and

j 2H

1

R

(0;1) arepiecewise linearspline functions. We note that inour

computationsM;N neednotbethesameasthosefortheapproximationofpontheinterval[0;t

1 ],

although we use the same notation here for ease of exposition. Followingthe same procedure as

before,we substitutethe approximation into theweak form ofourequation, ndingthat

P

M

i=1 P

N 1

j=0

ij n

<

j ;

l >

R

T

0 _

i _

m

dt + <c 2

(z) 0

j ;

0

l >

R

T

0 i m

dt+c

1

j (0)

l (0)

R

T

0 _

i m dt

o

= R

T

0

(t 1)

m dt<c

2

(z)g 0

; 0

l

>+ <h+g;

l >

m (0)

holds for the piecewise linear spline functions

m 2 H

1

R

(0;T); m = 0;:::;M 1; and

l 2

H 1

R

(0;1); l=0;:::;N 1:Then,asbefore,we can writethese equationsasa system

G=K

where containsthecoeÆcients

ij

,Gisasdenedpreviously,andKisanalogoustothepreviously

denedH . Thisequationcan be solvedforthecoeÆcientvector ,andthecoeÆcientscan inturn

beused to determineapproximationsfory and y.~

Summarizing,we use

p(t;z) p M

p N

p

(t;z)= M

p

X

i=1 N

p 1

X

j=0 a

ij i (t)

j

(z) forz2[0;1]; t2[0;t

1 ]

y(t;z) y MyNy

(t;z)= My

X

i=1 Ny 1

X

j=0

ij i (t)

j

(z) forz2[0;1]; t2[0;T

F t

1 ]

and

~ p

MpNp

(t;z) = p MpNp

(t;z)+zf(t) forz2[0;1]; t2[0;t

1 ]

~ y

MyNy

(t;z) = y MyNy

(t;z) (t 1)g(z) forz2[0;1]; t2[0;T

F t

1 ]

~ p

MpNp

(t;z) = y~ MyNy

(t t

1

;z) forz2[0;1]; t2[t

1 ;T

F ]

to dene an appropriate approximation to the behavior of the wave on the spatial interval [0;1]

and theentiregiven timeinterval[0;T

F ].

Priorto presentingsome solutionsobtained fromthisapproximation,wediscussbrieythe

(18)

out on a Sun Sparc Ultra 10 workstation. The coeÆcient vectors and were computed with

MATLAB's slash command, which nds solutions by Gaussian elimination. We recall that the

elementsinKare

Z

T

0

(t 1)

m dt<c

2

(z)g 0

; 0

l

>+ <h+g;

l >

m (0):

Here,g representsp~ MpNp

(t;)at a speciedtime t

1

. Asa result,weonlyhave accessto valuesof g

at thenodal points, z

k

. Furthermore,h(z) represents _

~ p

MpNp

(t;z) at t

1

, butthese values must be

approximatedat the appropriatespatialnodes. So,in order to compute theterms in K, we must

rst numericallyapproximateg_ (which is thesame as h) and g 0

from the known data points and

then calculate theinner products. We use a centered dierencemethod to approximateg 0

at the

nodal points and a backward dierence method to approximate g_ at the same points. Then we

use linear interpolation via the MATLAB command interp1 to obtain values for g(z);g 0

(z); and

_

g(z) atintermediatevaluesz betweenthenodes. Withthese \enhanced"datasets,we canusethe

trapezoidalmethod,via MATLAB'strapz command,to computetheinnerproducts.

Finally,weshowplotstoillustratethebehaviorofthewaveasitpassesthroughthelayeredmedium.

EachoftheplotsinFigure3isasnapshotintimeofthepressureinthemediumfortheparameters

giveninTable1 withM =N =256 basiselements. Lookingatthesnapshots sequentially,we can

seethepressurewavemovethroughthelayers. Thenoiseinfrontofandbehindthewaveisaresult

ofapproximationerrorandshouldnothavesignicantimpactontheelectromagneticinterrogation

process when usedintheproblemdescribed inSection1.

0

0.1

0.2

0.3

0.4

0.5

0.6

0.7

0.8

0.9

1.0

−1

−0.8

−0.6

−0.4

−0.2

0

0.2

0.4

0.6

0.8

1

z

Pressure vs Depth − t=0 − Initial Condition

0

0.1

0.2

0.3

0.4

0.5

0.6

0.7

0.8

0.9

1.0

−1

−0.8

−0.6

−0.4

−0.2

0

0.2

0.4

0.6

0.8

1

z

Pressure vs Depth − t=0.375

(19)

0

0.1

0.2

0.3

0.4

0.5

0.6

0.7

0.8

0.9

1.0

−1

−0.8

−0.6

−0.4

−0.2

0

0.2

0.4

0.6

0.8

1

z

Pressure vs Depth − t=0.5

0

0.1

0.2

0.3

0.4

0.5

0.6

0.7

0.8

0.9

1.0

−1

−0.8

−0.6

−0.4

−0.2

0

0.2

0.4

0.6

0.8

1

z

Pressure vs Depth − t=0.625

Figure 3(c) Pressurevsdepth {t=0.5 Figure 3(d)Pressurevsdepth {t=0.625

0

0.1

0.2

0.3

0.4

0.5

0.6

0.7

0.8

0.9

1.0

−1

−0.8

−0.6

−0.4

−0.2

0

0.2

0.4

0.6

0.8

1

z

Pressure vs Depth − t=0.75

0

0.1

0.2

0.3

0.4

0.5

0.6

0.7

0.8

0.9

1.0

−1

−0.8

−0.6

−0.4

−0.2

0

0.2

0.4

0.6

0.8

1

z

Pressure vs Depth − t=0.875

Figure 3(e)Pressurevs Depth{ t=0.75 Figure 3(f)Pressurevs depth{ t=0.875

0

0.1

0.2

0.3

0.4

0.5

0.6

0.7

0.8

0.9

1.0

−1

−0.8

−0.6

−0.4

−0.2

0

0.2

0.4

0.6

0.8

1

z

Pressure vs Depth − t=1.0

0

0.1

0.2

0.3

0.4

0.5

0.6

0.7

0.8

0.9

1.0

−1

−0.8

−0.6

−0.4

−0.2

0

0.2

0.4

0.6

0.8

1

z

Pressure vs Depth − t=1.125

(20)

0

0.1

0.2

0.3

0.4

0.5

0.6

0.7

0.8

0.9

1.0

−1

−0.8

−0.6

−0.4

−0.2

0

0.2

0.4

0.6

0.8

1

z

Pressure vs Depth − t=1.25

0

0.1

0.2

0.3

0.4

0.5

0.6

0.7

0.8

0.9

1.0

−1

−0.8

−0.6

−0.4

−0.2

0

0.2

0.4

0.6

0.8

1

z

Pressure vs Depth − t=1.375

Figure 3(i) Pressurevs depth{ t=1.25 Figure 3(j) Pressurevs depth{ t=1.375

0

0.1

0.2

0.3

0.4

0.5

0.6

0.7

0.8

0.9

1.0

−1

−0.8

−0.6

−0.4

−0.2

0

0.2

0.4

0.6

0.8

1

z

Pressure vs Depth − t=1.5

Figure 3(k)Pressurevs depth{ t=1.5

Parameter Value

c

1

1.5

c

2

1.485

z

1

0.5605

z

2

0.7012

0.25

t

1

0.5

T

F

1.5

Table 1 Parametervaluesforcomputations inFigure 3

To address approximation error, we compare solutions as thenumberof basis elements increases.

In Figure 4,we seethe solutions of pressureversusdepth fora xed time computed withvarying

(21)

appear to converge. Figure 5 gives the corresponding plots for solutions of pressure versus time

at a xed depth. Again, we see apparent convergence as the number of basis elements increases.

Thissuggeststhatanyerrorintheapproximatesolutionisduetoapproximationerror. Thevalues

of parameters used inthese computations are given inTable 2. Moreover, Table 3 illustratesthe

convergenceinnormweseeasweincreasethenumberofbasiselements. Thenormsusedtoobtain

theresultsgiven inthetable are denedasfollows

jf gj

l

1 = sup

k sup

l jf(t

k ;z

l ) g(t

k ;z

l )j

jf gj

l 2 =

1

N

k N

l P

k P

l (f(t

k ;z

l ) g(t

k ;z

l ))

2

1

2

where(t

k ;z

l

)arethenodalpointsof thepiecewiselinearelementsf

i g;f

j

goftheapproximation

(20) andN

k ;N

l

arethenumberofnodalpoints.

0.5

0.55

0.6

0.65

0.7

0.75

0.8

0.85

0.9

0.95

1

−1

−0.8

−0.6

−0.4

−0.2

0

0.2

0.4

0.6

0.8

1

Pressure vs Depth

depth

0.55

0.56

0.57

0.58

0.59

0.6

0.61

0.62

0.63

0.64

0.65

−0.1

−0.05

0

0.05

0.1

0.15

0.2

0.25

Pressure vs Depth

depth

Figure 4(a)Convergenceof elementsindepth Figure 4(b)A close-up ofFigure 4(a)

0.25

0.3

0.35

0.4

0.45

0.5

−0.1

0

0.1

0.2

0.3

0.4

0.5

0.6

0.7

0.8

0.9

Pressure vs Time

time

0.35

0.4

0.45

−0.1

−0.08

−0.06

−0.04

−0.02

0

0.02

0.04

0.06

0.08

0.1

Pressure vs Time

time

(22)

c

1

1.5

c

2

1.485

z

1

0.5605

z

2

0.7480

0.25

t

1

0.5

T

F

0.5

Table 2 Parameter values forcomputationsinFigures 4and 5

Norm Value Norm Value

j~p 32;32

~ p

16;16

j

l

1 0.119126 j~p 32;32

~ p

16;16

j

l

2 0.048853

j~p 64;64

~ p

32;32

j

l 1

0.080170 j~p 64;64

~ p

32;32

j

l

2 0.032970

j~p 128;128

~ p

64;64

j

l

1 0.069472 j~p 128;128

~ p

64;64

j

l 2

0.025776

j~p 256;256

~ p

128;128

j

l 1

0.048119 j~p 256;256

~ p

128;128

j

l

2 0.021199

Table 3 Convergenceinnorm

4 Conclusions and future work

Wehavederivedandtestednumericallyanadequateapproximationmethodforthebehaviorofthe

pressurewave. Thenexttaskistocoupletheacousticsystemwiththeappropriateelectromagnetic

system to develop theory and computation forthe interrogation technique describedin Section1.

Thiswillinvolvederivingamodelsimilartothose outlinedinSection1fortheinteractionbetween

thetwo waves.

Inthispaper,wehave developedan approximation schemefortheacoustic waveequations.

Ques-tions of the well-posedness of the decoupled pressure system remain to be addressed. Since the

variationalform oftheequation isweak inbothtimeand space,thisisanon-trivial issueand will

be treated in a forthcoming paper. Moreover, a theoretical and computational treatment of the

(23)

This research was supported in part by the Air Force OÆce of Scientic Research under grants

AFOSR-F49620-98-1-018 0, AFOSR-F49620-01-1-0026 , and AFOSR-F49620-98-1-043 0 and inpart

throughaDepartment ofEducation GAANNFellowshipto J.K. Raye underGrant P200A70707.

References

[1] H.T.BanksandT.Lin.Determiningthestructureofabiologicalmediumusingacousto-optic

probes. J. Inv. Ill-Posed Problems, 7:61{82, 1999.

[2] H. T. Banks and J. K. Raye. Pressure-dependent polarizationmodelsin thecontext of

elec-tromagnetic interrogation. in preparation.

[3] R.S.Beezleyand R.J.Krueger. Anelectromagneticinverseproblemfordispersivemedia. J.

Math.Physics, 26:317{325, 1985.

[4] R.W.Boyd. Nonlinear Optics. Academic Press,San Diego, 1992.

[5] H.T.BanksM.W.BuksasandT.Lin.ElectromagneticMaterial Interrogation Using

Conduc-tive Interfaces and Acoustic Wavefronts. SIAM Frontiers in Applied Mathematics,

Philadel-phia,2000.

[6] R. S. Elliot. Electromagnetics: History, Theory, and Applications. IEEE Press, New York,

1993.

[7] C.A. J.Fletcher. Computational Galerkin Methods. Springer-Verlag,Berlin,1984.

[8] J.D. Jackson. Classical Electrodynamics. JohnWiley,New York,2nd edition,1975.

[9] J. Lundand K. L.Bowers. Sinc Methods for Quadrature and Dierential Equations. SIAM,

Philadelphia,1992.

[10] P.M. Morse and K. U.Ingard. Theoretical Acoustics. McGraw-Hill, NewYork, 1968.

[11] R.A.AlbaneseJ.PennandR.Medina. Short-rise-timemicrowave pulsepropagation through

References

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