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H.T. Banks

Center for Research in Scientic Computation

North Carolina State University

Raleigh, NC 27965-8205

Gabriella A. Pinter

Department of Mathematical Sciences

University of Wisconsin Milwaukee

Milwaukee, WI 53201-0413

March 15, 2002

ABSTRACT

We establish well-posedness results for a model describing the propagation of

high-intensity electromagneticwaves ina nonlinear medium. The nonlinear

ma-terial properties are represented by a nonlinear polarization in the form of a

convolution. We alsoinclude some remarks onpotentialapplications.

1 Introduction

Inthis paperwe consideratime-domainmodelfor thepropagationofhigh-intensity

electro-magnetic waves (e.g.,laserbeams)indielectricmaterials. Thisworkis acontinuationof the

eorts in the monograph [1], where the authors investigated a similar model using the full

Maxwell'sequations together with linearconstitutive relationsina variationalapproachfor

thepropagationofmicrowavesthroughdielectriclayers. Thevariationalapproachfacilitates

theincorporationofantennasourcesinthemodelandprovidesanapproximatecomputation

of the electromagnetic transients like the Sommerfeld and Brillouin precursors. The

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oreticalandcomputationalbasis forpotentialnew electromagneticinterrogationtechniques.

Our goal in this paper is to broaden the applicability of the results in [1] in the following

sense: the modelinthemonographcontains alinearconstitutiverelationshipdescribing

ma-terial polarizationin a convolution representation. Such a formulation includes Debye and

Lorentzpolarizationmodels and is adequateto describe the interaction of microwaves with

dielectric materials. However, the polarization mechanism cannot be assumed to be linear

in the case of very high intensity electromagnetic waves, like lasers. Thus inthis paper we

develop theoreticalresultsusing arepresentationofthe polarizationby anonlinear

convolu-tion. In particular, we take aphysical modelsimilar to that in[1], introduce a polarization

law

P(t;z)= Z

t

0

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

andestablishthewell-posednessoftheresultingsystem. Thisformulationcanbeinterpreted

asa generalizationof the Debye or Lorentz polarizationmodels inthe sense that the

polar-ization dynamics is driven by a nonlinear function of the electriceld. We show the global

existence-uniqueness and continuous dependence on data of weak solutions under general

assumptions on the nonlinearity f: These conditions are satised by a number of locally

polynomial nonlinearities proposed in the nonlinear optics literature (e.g., see the \second

order" optical models involving cubic nonlinearitiesin [6, 7].) The analysis uses techniques

similar to those in [2] with the added diÆculty of treating the terms that result from the

boundary conditions. Basedonthe theoretical results,rigorouscomputationalmethodscan

be developed forthe forward problemand subsequently for the associatedinverse problems.

The literature on nonlinear optics and Maxwell's equations is, of course, vast. Good

introductions tononlinear optics canbefound in[6,11,13,15]to namejusta few. Related

results and some background information on similar electromagnetic models are given in

[1, 5, 8, 10, 14]. For example in [10] the authors develop theoretical results in an operator

theoretic context for systems with nonlinear polarization and magnetization under global

Lipschitz conditions.

We consider this paper to be a rst, but nontrivial, step in analyzing the propagation

of highintensity electromagneticwavesthrough dielectric materialsusingthe fullMaxwell's

equationsin the time-domain. Numerousinteresting questionsremain: forexample, can we

theoreticallyand/orcomputationallydemonstrateself-focusingofthebeamorwavecollapse

using this approach when an array of sources is used instead of a point source? These

phenomena are usually discussed in the context of the nonlinear Schrodinger equation in

weaklynonlinear (Kerrmedium)dielectricse.g., in[13,15,16]. Inthat approachthecrucial

assumption is that the relevant electric eld can be represented by a nite basis of weakly

coupledwavepackets andthe wavepacketenvelopesevolvevianonlinearequations. However,

when light intensities become suÆciently high so that the material behaves like a plasma,

this weak coupling theory breaks down [13]. This is exactly what happens when a laser

pulse collapses intomultiple self-focused laments. The initialphases of the event are

well-understood but as the collapseevolves anelectron plasmaand very large thermalgradients

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The structureof thepaperisasfollows: InSection2we presentashortderivationof the

model and the existence result for weak solutions. Section 3 and 4 contain the uniqueness

and continuous dependence arguments, respectively. We close with a brief discussion of

applications tononlinear materials.

2 Weak formulation and existence result

As described in the Introduction, we consider Maxwell's equations applied to a specic

physical problem as depicted in Figure 1. An innite slab of material is interrogated by

a normally incident polarized plane wave windowed pulse originatingat an antenna source

z = 0 in free space

0

= [0;z

1

]: The slab of material in = [z

1 ;z

2

] is assumed to be

homogeneous in the directions orthogonal to the direction z of propagation of the plane

wave. Under these assumptions it is possible to represent the strength of the electric and

magneticeldsinand

0

bythe scalarfunctionsE(t;z)andH(t;z),respectively. Onecan

readily eliminatethe magnetic eld fromthe full Maxwell equationsto arrive at the strong

formulation of the problem(for adetailed derivation see [1])

0



E+

0 I

(z)



P +

0

_

E E

00

=

0 _

J

s

0<z <z

2

; t >0; (2.1)

1

c @E

@t

@E

@z

z=0

=0 t>0; (2.2)

E(t;z

2

)=0 t>0; (2.3)

E(0;z)=(z); _

E(0;z)= (z) 0<z<z

2

; (2.4)

where P denotes the polarizationand I

isthe indicatorfunction

I

(z) =

(

0 if 0<z <z

1

1 if z

1

z z

2 ;

)

;

where z

1

< 1 is the front boundary of the slab and z

2

is the (sometimes unknown in

in-terrogation problems) back boundary (see Figure 1). We note that anabsorbing boundary

condition is placed at z = 0 to prevent the reection of waves. We assume that there

is a supraconductive backing on the slab at z = z

2

and specify the boundary conditions

accordingly. Equation (2.1) can begiven in the form

0 

E+ 1

0 I

(z)



P + 1

0

_

E c

2

E 00

= 1

0 _

J

s ;

where =

0

(1+(

r 1)I

);and c 2

= 1

0

0

:We denote

0 by "^

r :

We assume that the frequency of the interrogatingwave is sohigh that the dependence

of the polarization on the electric eld can no longer be adequately described by a linear

constitutive law. Specically, we consider a polarization mechanism that depends on the

strength of the electriceld in the convolution

P(t;z)= Z

t

0

(4)

z

H(t;z)

E(t;z)

z

1

z

2

y

Figure1: Geometryof the physical problem

with nonlinearity f. Thus



P(t;z) = Z

t

0 

g(t s;z)f(E(s;z))ds+g(0;z) @

@t

f(E(t;z))+g(0;_ z)f(E(t;z))

+ Z

t

0 

g(t s;z)E(s;z)ds+g(0;z) _

E(t;z)+g(0;_ z)E(t;z);

wheref :IR!IRisanonlinear(notnecessarilysmall)perturbationofthelinearmechanism.

This yieldsthe strong formof the equation

^ "

r 

E(t;z) + 1

0 I

(z)((z)+g(0;z)) _

E(t;z)

+ 1

0 I

(z)g(0;_ z)E(t;z)+ Z

t

0 1

0 I

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

+ 1

0 I

(z)g(0;_ z)f(E(t;z))+ Z

t

0 1

0 I

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

+ 1

0 I

(z)g(0;z) d

dt

f(E(t;z)) c 2

E 00

(t;z)= 1

0 _

J

s

(t;z); 0<z <z

2 :(2.6)

Inthe physicalproblemz

2

isassumed tobeunknown, andit isdesirabletoestimateitfrom

given data. Since theexistenceproof isconstructiveinthe sense thatthe numericalmethod

we use tosolve this problem(forboth forward and inverse problems) follows the theoretical

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functions for dierent z

2

; but the same numerical framework can be used throughout the

optimizationprocedure inthe inverse problems (again,this isexplained indetail in [1]).

We rst multiply (2.6) by , where 2 H 1

(0;z

2

) and integrate from 0 to z

2 using

integration by parts in the lastterm in the left. Then we introduce achange of variableby

letting

~

z =h(z) = (

z

1

if 0<z <z

1

z

1

+(z z

1 ) 1 z1 z2 z1 if z 1

z z

2 ;

)

i.e., h(z)= z+( 1)(z z

1 )I

[z1;z2]

(z) with = 1 z 1 z 2 z 1

: Then h 0

(z) =1+( 1)I

(z) and

~

h 0

(~z)=1+( 1)I

~

(~z);where ~

=[z

1

;1]andweadoptthenotationthat ~

E; ~

h; ~

;g;~ etc., are

the mapsE;h;;g;etc., afterthey havebeen mapped fromthedomain[0;z

2

]tothedomain

[0;1]:Usingthis transformation we obtain

h 1 ~ h 0 ~ ^ " r  ~

E(t;);'i~ +h 1 ~ h 0 1 0 I ~

(~+g(0;~ )) _

~

E(t;);'i~

+ h 1 ~ h 0 1 0 I ~ _ ~ g(0;)

~

E(t;);'i~ +h 1 ~ h 0 Z t 0 1 0 I ~  ~

g(t s;) ~

E(s;)ds;'i~

+ h 1 ~ h 0 1 0 I ~ _ ~

g(0;)f( ~

E(t;));'i~ +h 1 ~ h 0 Z t 0 1 0 I ~  ~

g(t s;)f( ~

E(s;))ds;'i~

+ h 1 ~ h 0 1 0 I ~ ~ g(0;)

d

dt f(

~

E(t;));'i~ +hc 2 ~ h 0 ~ E 0

(t;);'~ 0

i+c _

~

E(t;0)'(0)~

= h 1 ~ h 0 1 0 _ ~ J s

(t;);'i;~ (2.7)

whereh;iistheL 2

(0;1)innerproduct. Thiseectivelymapsoursystemtoaxedreference

domain [0;1] and we use this form to dene the weak solution of the problem. We let

H =L 2

(0;1); V =H 1

R

(0;1)=f2H 1

(0;1)j(1)=0gleadingtotheGelfandtriple([9,17])

V ,! H ,!V

: We say that E 2L 1

(0;T;V) with _

E 2L 2

(0;T;H); 

E 2L 2

(0;T;V

);is a

weak solutionif it satises forevery '2V

h" r  E;'i V ;V +h _

E;'i+hE;'i+h Z

t

0

(t s;)E(s;)ds;'i

+hf(E);'i+h Z

t

0

(t s;)f(E(s;))ds;'i+h^ d

dt

f(E);'i

+hc 2 h 0 E 0 ;' 0

i+c _

E(t;0)'(0)=hJ(t;);'i

V

;V

(2.8)

and

E(0;z)=(z); _

E(0;z)= (z); (2.9)

wherein(2.8) wedropthe overtildaonvariablesand functionsforsimplicationof notation

and for z~2[0;1]; we dene

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(~z) =

~

h 0

0 I

~

_

~ g(0;z);~

(~z) = 1

~

h 0

1

0 I~

(~(~z)+g(0;~ ~z));

^

(~z) = 1

~

h 0

1

0 I

~

~ g(0;z);~

J(t;z)~ = 1

~

h 0

1

0 _

~

J

s (t;z);~

"

r =

1

~

h 0

~

^ "

r :

We note that since 1

~

h 0

(z)

> 0 is a piecewise constant function, the inclusion of this term in

;;;;^ "

r

;J is essentially equivalentto using amodied

0

: In developing the theoretical

existence result we can also make the simplifying assumption that "

r

= 1 without loss of

generality. (This, of course, is not true for computationaleorts.) Our goalis to establish

the existence and uniqueness of weaksolutions.

We makethe following assumptions:

A1) The functions ;;^ 2L 1

(0;1) with

j(z)jL

1

; j^(z)jL

2 :

A2) The function is bounded on [0;T](0;1) with

j (t;z)jL

3 :

A3) g(0;z) 0;(z) 0: (We note that this assumption implies that (z) 0;(z)^ 0

for every z 2[0;1]:)

A4) The nonlinear function f :IR!IR is C 1

, with f(0)=0; and f 0

(z)>0for all z 2IR :

f isalsoassumed tobeaÆneat innity,i.e., there existconstantsR ;L

R

andK

R such

that for every jxj>R ; jf(x)jL

R

jxj+K

R :

Remark 2.1 We note that A4) implies that f is locally Lipschitz, i.e., for any r >0 there

exists L

r

>0 such that

jf(x) f(y)jL

r

jx yj for every jxj;jyj<r:

Alsothere is a constant M with jf(x)jMjxj for all x2IR :

Werst prove the followingtheorem:

Theorem 2.1 Under assumptions A1)-A4) the system (2.8)-(2.9) has a weak solution for

any 2V; 2H and J 2H 1

(0;T;V

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the nonlinear terms. Thus we rst add hkE;'i to both sides of (2.8) where k is chosen in

suchawaythat ^

k+ satises ^

"

1

>0on[0;1]forsomeconstant "

1

:Suchak exists

since by assumption 2L 1

(0;1):Next we denethe sesquilinear form

1

:V V !Cl by

1

(; )=hc 2

h 0

0

; 0

i

H +h

^

; i

H

for ; 2V:

It is readily seen that

1

is V-continuous and V-elliptic, i.e., there are positive constants

c

1 ;c

2

such that

j

1

(; )j c

2 kk

V k k

V

for all ; 2V; (2.10)

1

(;) c

1 kk

2

V

for all 2V: (2.11)

Let 2 V and 2 H and x T > 0: We choose a subset fw

i g

1

i=1

spanning V. Without

loss of generality we assume that the elements w

i

are linearly independent. Let V m

=

span fw

1

;:::;w

m

g;and denethe Galerkin approximations

E

m

(t;z)= m

X

i=1 e

m

i (t)w

i (z);

where the fe m

i (t)g

m

i=1

are obtained by solving the m-dimensional system of nonlinear delay

dierentialequations:

h 

E

m (t);w

i i

H +h

_

E

m (t);w

i i

H +h

Z

t

0

(t s;)E

m

(s;)ds;w

i i

+

1 (E

m (t);w

i )+c

_

E

m (t;0)w

i

(0)+h^ d

dt f(E

m (t));w

i i+h

Z

t

0

(t s;)f(E

m

(s;))ds;w

i i

+hf(E

m (t));w

i

i=hJ(t);w

i i

V

;V

+hkE

m (t);w

i

i; (2.12)

for i=1:::m; with

E

m

(0) = m

(2.13)

_

E

m

(0) = m

; (2.14)

where m

! in V; and m

! in H. Multiplying each equation by e_ m

i

(t) and adding

them we obtain

1

2 d

dt k

_

E

m (t)k

2

H +h

_

E

m (t);

_

E

m (t)i

H +h

Z

t

0

(t s;)E

m

(s;)ds; _

E

m (t)i

H

+

1 (E

m (t);

_

E

m

(t))+cj _

E

m (t;0)j

2

+h^ d

dt f(E

m

(t)); _

E

m (t)i

H

+h Z

t

0

(t s;)f(E

m

(s;))ds; _

E

m (t)i

H

+hf(E

m (t));

_

E

m (t)i

H

=hJ(t); _

E

m (t)i

V

;V

+hkE

m (t);

_

E

m (t)i

H

E

m

(0)=

m ;

_

E

m (0)=

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1 2 d dt n k _ E m (t)k 2 H + 1 (E m (t);E m (t)) o +k q

+^f 0 (E m (t)) _ E m (t)k 2 H +cj _ E m (t;0)j 2 =h Z t 0

(t s;)E

m (s;)ds; _ E m (t)i H +h Z t 0

(t s;)f(E

m (s;))ds; _ E m (t)i H

+h f(E

m (t)); _ E m (t)i H

+hJ(t); _ E m (t)i V ;V +hkE m (t); _ E m (t)i H ;

where we used that +f^ 0

(E) 0 by assumptions A3) and A4). Integration from 0 to t,

where t2[0;T] yields

k _ E m (t)k 2 H +c 1 kE m (t)k 2 V +2 Z t 0 k q

+f^ 0 (E m (s)) _ E m (s)k 2 H

ds+2cj _ E m (;0)j L 2 (0;t) k _ E m (0)k 2 H +c 2 kE m (0)k 2 V +2j Z t 0 F m

()dj (2.15)

with

F

m

() = h Z

0

( s;)E

m (s;)ds; _ E m ()i H +hkE m (); _ E m ()i H

+ hJ(); _ E m ()i V ;V +h Z 0

( s;)f(E

m (s;))ds; _ E m ()i H

+ h f(E

m ()); _ E m ()i H T 1

()+T

2

()+T

3

()+T

4

()+T

5 ():

Let 0< <t bearbitrary. Wenext estimatethe termsT

i

() one by one. Thus,

jT 1 ()j Z 0 L 3 kE m (s)k H dsk _ E m ()k H 1 2 Z 0 L 3 kE m (s)k H ds 2 + 1 2 k _ E m ()k 2 H 1 2 L 2 3 t Z t 0 kE m (s)k 2 H ds+ 1 2 k _ E m ()k 2 :

Usingthis estimatewe obtain

Z t 0 jT 1 ()jd 1 2 L 2 3 t 2 Z t 0 kE m (s)k 2 H ds+ 1 2 Z t 0 k _ E m (s)k 2 H ds: (2.16)

Next, we have

Z t 0 jT 2 ()jd Z t 0 jhkE m (); _ E m ()ijd Z t 0 1 2 k 2 kE m ()k 2 H + 1 2 k _ E m ()k 2 H d: (2.17) Since _

J 2L 2

(0;T;V

)we have

d

dt

hJ(t);E

m (t)i V ;V =h _

J(t);E

m (t)i

V

;V

(9)

j Z t 0 T 3

()dj Z t 0 ( d d

hJ();E

m ()i V ;V h _

J();E

m ()i V ;V ) d

= jhJ(t);E

m (t)i

V

;V

hJ(0);E

m (0)i V ;V Z t 0 h _

J();E

m ()i V ;V dj 1 2Æ kJ(t)k 2 V +ÆkE m (t)k 2 V + 1 2 kJ(0)k 2 V + 1 2 kE m (0)k 2 V + Z t 0 1 2 k _

J()k 2 V + 1 2 kE m ()k 2 V d; (2.18)

whereÆ >0isarbitrary. Usingthe assumptionsA2)andA4)wecan estimatethenext term

as aboveto yield

jT

4

()j = jh Z

0

( s;)f(E

m (s;))ds; _ E m ()i H j Z 0 L 3 kf(E m (s))k H dsk _ E m ()k 1 2 L 2 3 M 2 t Z t 0 kE m (s)k 2 H ds+ 1 2 k _ E m ()k 2 H :

Thuswend

Z t 0 jT 4 ()jd 1 2 L 2 3 M 2 t 2 Z t 0 kE m ()k 2 H d + 1 2 Z t 0 k _ E m ()k 2 H d: (2.19)

Similarly the lastterm can be estimated

Z t 0 jT 5 ()jd Z t 0 jhf(E m ()); _ E m ()ijd Z t 0 L 1 kf(E m ())k H k _ E m ()k H d Z t 0 1 2 L 2 1 M 2 kE m ()k 2 H + 1 2 k _ E m ()k 2 H d: (2.20)

Combiningthe estimates (2.16)-(2.20)we obtain from(2.15)

k _ E m (t)k 2 H +(c 1 2Æ)kE m (t)k 2 V +2ck _ E m (;0)k 2 L 2 (0;t) k _ E m (0)k 2 H +(c 2 +1)kE m (0)k 2 V

+kJ(0)k 2 V + Z t 0 k _

J()k 2 V d +(L 2 3 t 2 +k 2 +L 2 3 M 2 t 2 +L 2 1 M 2 ) Z t 0 kE m ()k 2 H d + Z t 0 kE m ()k 2 V d + 2 Æ kJ(t)k 2 V +4 Z t 0 k _ E m ()k 2 H d:

We choose Æ to be such that =c

1

2Æ > 0: Since V ,! H there exists a constant >0

with kuk

H

kuk

V

; for every u2V:Also, E

m

(0) is bounded in V; _

E

m

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and J 2H (0;T;V ),so we can conclude that

k _

E

m (t)k

2

H

+kE

m (t)k

2

V

+2ck _

E

m (;0)k

2

L 2

(0;t) B

1 +4

Z

t

0 k

_

E

m ()k

2

H d

+B

2 Z

t

0 kE

m ()k

2

V

d; for all t2[0;T]; (2.21)

where B

1 ;B

2

are independent of m. Nowby the Gronwallinequality we arriveat

k _

E

m (t)k

2

H

+kE

m (t)k

2

V

+2ck _

E

m (;0)k

2

L 2

(0;t)

C(T;f;g;; ;J); (2.22)

where C is a positive constant independent of m: Hence

fE

m

g is bounded in C(0;T;V)L 2

(0;T;V) (2.23)

f _

E

m

g is bounded in C(0;T;H)L 2

(0;T;H) and (2.24)

f _

E

m

(;0)g is bounded in L 2

(0;T): (2.25)

Consequently there existsubsequences (againdenoted by the subscript m) such that

E

m

! E weakly in L 2

(0;T;V) (2.26)

_

E

m !

~

E weakly in L 2

(0;T;H) (2.27)

_

E

m

(;0) ! E

L

weakly in L 2

(0;T): (2.28)

First we show that ~

E = _

E; E

L =

_

E(;0)insome sense. For each m wehave that

E

m

(t) = E

m (0)+

Z

t

0 _

E

m

(s)ds (2.29)

E

m

(t;0) = E

m

(0;0)+ Z

t

0 _

E

m

(s;0)ds: (2.30)

Passing to the limitin(2.29) (in the weak H sense)and in(2.30), weobtain

E(t) = + Z

t

0 ~

E(s)ds; (2.31)

E(t;0) = (0)+ Z

t

0 E

L

(s;0)ds; (2.32)

where (2.31) holds in the sense of H for each t 2 [0;T]: Thus (2.31) implies that ~

E = _

E,

whilefrom(2.32)wecanconclude thatE(t;0)exists andiscontinuousint:Actually,E(t;0)

is absolutelycontinuous with _

E(t;0)=E

L

(t) foralmost every t.

We proceed to show that the convergence (2.26) can be strengthened to provide the

strongconvergence E

m

!E inC(0;T;H):We notethat this strongconvergence enablesus

to pass to the limit as m ! 1 in expressions involvingthe nonlinear function of E

m ; and

thus it is the key to establishing the existence of weak solutions for systems with nonlinear

polarizationwith the techniques employed here. Toachieve this result we use the following

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relativelycompactifandonlyifF isequicontinuousandff(t):f 2Fgisrelativelycompact

in Y foreach t2[0;T]:

Here we letY =H and F =fE

m g

1

m=1

C(0;T;H):First weshow thatthe subset fE

m gis

equicontinuous inC(0;T;H):Using the estimate(2.21) we have

kE

m

(t+t) E

m (t)k

2

H

= k Z

t+t

t _

E

m

()dk 2

H

Z

t+t

t k

_

E

m ()k

H d

!

2

t

Z

t+t

0 k

_

E

m ()k

2

H d

(t)

2

C

Sinceforeacht 2[0;T]fE

m (t)g

1

m=1

isuniformlyboundedinV bytheaprioriestimate(2.22)

and V iscompactlyembedded inH wecan conclude that fE

m (t)g

1

m=1

isrelatively compact

in H for each t 2 [0;T]: Thus the Arzela-Ascoli theorem guarantees that fE

m (t)g

1

m=1 is

relatively compact in C(0;T;H) and hence there exists a subsequence (again denoted by

E

m

) that converges strongly to E in C(0;T;H): Now we claim that E (which must be

equivalent to the limit in(2.26)) is a weak solution of (2.8)-(2.9). To establishthis fact we

rst take 2 C 1

(0;T) with (T) = 0 and choose

j

(t) (t)w

j

where fw

j g

1

j=1

are the

basis elements as before. For a xed j we have that E

m

satises the following relation for

allm >j :

Z

T

0 n

h 

E

m (t);

j

(t)i+h(+^f 0

(E

m (t)))

_

E

m (t);

j

(t)i+

1 (E

m (t);

j (t))

+h Z

t

0

(t s;)E

m

(s;)ds;

j

(t)i+c _

E

m (t;0)

j

(t;0)+h Z

t

0

(t s;)f(E

m

(s;))ds;

j (t)i

+hf(E

m (t));

j

(t)igdt = Z

T

0

fhJ(t);

j (t)i

V;V

+hkE

m (t);

j

(t)igdt: (2.33)

Weintegrateby partsinthersttermintheleftusingthe propertythat (T)=0toobtain

Z

T

0 n

h _

E

m (t);

_

j

(t)i+h(+^f 0

(E

m (t)))

_

E

m (t);

j

(t)i+

1 (E

m (t);

j (t))

+h Z

t

0

(t s;)E

m

(s;)ds;

j

(t)i+c _

E

m (t;0)

j

(t;0)+h Z

t

0

(t s;)f(E

m

(s;))ds;

j (t)i

+hf(E

m (t));

j

(t)igdt = Z

T

0

fhJ(t);

j (t)i

V

;V

+hkE

m (t);

j

(t)igdt+h ;

j (0)i:

Now we can take the limitas m ! 1 using the convergences (2.26)-(2.28) and the strong

convergence of E

m

!E inC(0;T;H) toobtain

Z

T

0 n

h _

E(t); _

j

(t)i+h(+f^ 0

(E(t))) _

E(t);

j

(t)i+

1 (E(t);

(12)

+h t

0

(t s;)E(s;)ds;

j

(t)i+c _

E(t;0)

j

(t;0)+h t

0

(t s;)f(E(s;))ds;

j (t)i

+hf(E(t));

j

(t)igdt= Z

T

0

fhJ(t);

j (t)i

V

;V

+hkE(t);

j

(t)igdt+h ;

j (0)i:

Wenotethatpassingtothelimitinthe secondtermundertheintegralinthe leftispossible

by the convergences (2.26),the strongconvergence E

m

!E in C(0;T;H)and the factthat

f 0

is assumed to be continuous. It follows that for every

j

we have in the L 2

(0;T) sense

(except inthe rst term which is inthe distributional sense int)

d

dt h

_

E(t);

j

(t)i+h+^f 0

(E(t))) _

E(t);

j

(t)i+

1 (E(t);

j (t))

+h Z

t

0

(t s;)E(s)ds;

j

(t)i+c _

E(t;0)

j

(t;0)+h Z

t

0

(t s;)f(E(s))ds;

j (t)i

+hf(E(t));

j

(t)i=hJ(t);

j (t)i

V

;V

+hkE(t);

j

(t)i: (2.34)

Since fw

j g

1

j=1

is total in V we can conclude that 

E 2 L 2

(0;T;V

) and E satises (2.8).

From (2.31) it follows that E(0) = and the fact that _

E(0) = can be established

exactlyas in [4]. Hence wend that E isa solution of (2.8)-(2.9). It remainsto argue that

E 2L 1

(0;T;V):WeshowusingtheArzela-AscolitheoremthattheGalerkinapproximations

satisfyanadditionalconvergence property, namely,that E

m

!E inC

W

(0;T;V):Since this

implies E

m

(t) !E(t) weakly in V, we can conclude from the a priori estimate (2.22) that

for allt2 [0;T]

kE(t)k 2

V

1

C;

and hence E 2L 1

(0;T;V):

To establish the equicontinuity of fE

m

g in C

W

(0;T;V) we use similar arguments as

those in [2]. Namely, we note that the mapping A

1

: V ! V

: hA

1 ; i

V

;V =

1 (; )

is a topological isomorphism. We dene domA

1

= fv 2 V : A

1

v 2 Hg = A 1

1

(H): Since

H is dense in V

, domA

1

is dense in V. We assume that V is equipped with the inner

product

1

(;); which is in fact equivalent to the original inner product in V. Let us rst

take v 2domA

1

: Then we have

j

1 (v;E

m

(t+t) E

m

(t))j=jhA

1 v;E

m

(t+t) E

m

(t)ijkA

1 vk

Z

t+t

t k

_

E

m

()kd

kA

1 vk

p

Cjtj; (2.35)

where C is the constant from (2.22). Nowlet 2V be arbitrary, v 2domA

1

; and >0:

j

1 (;E

m

(t+t) E

m

(t))jj

1 (v;E

m

(t+t) E

m (t))j

+j

1

( v;E

m

(t+t) E

m

(t))jkA

1 vk

p

Cjtj+2Ck vk

V

: (2.36)

Since domA

1

is dense in V, we can choose v 2 domA

1

such that 2Ck vk

V <

2

: Thus if

jtj<Æ=

2kA

1 vk

p

C ; then

j

1 (;E

m

(t+t) E

m

(13)

m

t, we can choose Y in the Arzela-Ascoli theorem to be a closed and bounded subset of

V containing fE

m

(t)g: We equip Y with the weak topology. Thus Y is a compact metric

space, and fE

m

(t)g is relatively compact in Y for each t. Since we already established the

equicontinuity of fE

m g in C

W

(0;T;V); we obtain by the Arzela-Ascoli theorem that fE

m g

is relatively compact in C(0;T;Y); i.e., we have E

m

(t) ! E(t) weakly in V uniformly in t

for asuitable subsequence. ThusE 2L 1

(0;T;V) and Theorem 2.1. is proved.

3 Uniqueness

WenextestablishtheuniquenessofweaksolutionsinL 1

(0;T;V)\C(0;T;H):Thussuppose

that E

1 ;E

2

both solve (2.8)-(2.9) with the same data ; ;J: Then E E

1 E

2

satises

E(0;z)=0; _

E(0;z)=0and

h 

E;'i

V

;V +h

_

E;'i+

1

(E;')+h Z

t

0

(t s;)E(s;)ds;'i+h(f(E

1

) f(E

2 ));'i

+h Z

t

0

(t s;)(f(E

1

(s;)) f(E

2

(s;)))ds;'i+h^ d

dt (f(E

1

) f(E

2 ));'i

+c _

E(t;0)'(0) khE;'i=0 for every '2V: (3.37)

For arbitrarybut xed in (0;T) dene

(t) =

(

R

t

E()d fort < ;

0 fort ;

so

(T)=0 and

(t)2V for eacht 2[0;T]: We alsohave that

Z

0 h



E(t);

(t)i

V

;V +h

_

E(t);E(t)idt = Z

0 d

dt h

_

E(t);

(t)idt=0: (3.38)

Let '=

(t) in(3.37) and integrate overt from0 to :

Z

0

h _

E(t);E(t)i h _

E(t);

(t)i

1 (E(t);

(t)) h Z

t

0

(t s;)E(s;)ds;

(t)i

h(f(E

1

(t)) f(E

2 (t)));

(t)i h Z

t

0

(t s;)(f(E

1

(s;)) f(E

2

(s;)))ds;

(t)i

h^ d

dt (f(E

1

(t)) f(E

2 (t)));

(t)i c _

E(t;0)

(t)(0)+khE(t);

(t)i

)

dt=0:(3.39)

By usingthe relations

Z

0 h

_

E;

i+hE;Eidt= Z

0 d

dt hE;

idt =0 (3.40)

d

dt

1 (

(t);

(t))=2

1 (E(t);

(14)

0 n

c _

E(t;0)

(t)(0)+cE(t;0) 2

o

dt=

0 d

dt

cE(t;0)

(t)(0)dt=0 (3.42)

d

dt hk

(t);

(t)i=2hkE(t);

(t)i (3.43)

Z

0 (

h^ d

dt (f(E

1

) f(E

2 ));

(t)i+h^(f(E

1

) f(E

2

));E(t)i )

dt

= Z

0 d

dt

h^(f(E

1

) f(E

2 ));

(t)i

= h^(f(E

1

(0;)) f(E

2 (0;));

(0))i=0; (3.44)

we obtainfrom (3.39) that

1

2

kE()k 2

+ 1

2

1 (

(0);

(0))+

1

2 kh

(0);

(0)i+

Z

0 n

hE(t);E(t)i+cE(t;0) 2

Reh Z

t

0

(t s;)E(s;)ds;

(t)i

o

dt Re Z

0 n

h(f(E

1

) f(E

2 ));

(t)i

h Z

t

0

(t s;)(f(E

1

(s;)) f(E

2

(s;)))ds;

(t)i+h^(f(E

1

) f(E

2 ));Ei

o

dt=0:

Now

1

2

kE()k 2

+ 1

2

1 (

(0);

(0))

1

2 jhk

(0);

(0)ij+ Z

0 n

jhE(t);E(t)ij

+jh Z

t

0

(t s;)E(s;)ds;

(t)ij+jh(f(E

1

) f(E

2 ));

(t)ij

+jh Z

t

0

(t s;)(f(E

1

(s;)) f(E

2

(s;)))ds;

(t)ij+jh^(f(E

1

) f(E

2 ));Eij

o

dt:

(3.45)

From the denition of

we have that for eacht 2[0;T]

k

(t)k

2

Z

0

kE()kd

2

T Z

0

kE()k 2

d; (3.46)

so that

jhk

(0);

(0)ijkk

(0)k

2

=kT Z

0

kE()k 2

d: (3.47)

Weuse (3.47)and arguments similar tothose behind the estimate (2.16)to obtain

jh Z

t

0

(t s;)E(s;)ds;

(t)ij Z

t

0 L

3

kE()kd

k

(t)k

1

2 Z

t

0 L

3

kE()kd

2

+ 1

2 k

(t)k

2

K

1 Z

0

kE()k 2

(15)

for all t ; where K

1 =

2 (L

2

3

T +T): Next we estimate the terms in (3.45) containing the

nonlinear function f using the local Lipschitz property of f and the fact that E

1 ;E

2 are

uniformlybounded, i.e., inL 1

(0;T;V):Thus for t

jh(f(E

1

(t)) f(E

2 (t)));

(t)ijL

1

KkE(t)kk

(t)k

1

2 L

2

1 K

2

kE(t)k 2

+ 1

2 k

(t)k

2

1

2 L

2

1 K

2

kE(t)k 2

+ T

2 Z

0

kE()k 2

d (3.49)

and

jh Z

t

0

(t s;)(f(E

1

(s;)) f(E

2

(s;)))ds;

(t)ijL

3 K

Z

t

0

kE(s)kdsk

(t)k

K

2 Z

0

kE(k 2

d; (3.50)

where K

2 =

1

2 (L

2

3 K

2

T +T):Wealso have that

Z

0

jh^(f(E

1

(t)) f(E

2

(t)));E(t)ijdt Z

0 L

2

KkE(t)k 2

dt: (3.51)

Usingthe estimates (3.47)-(3.51)in (3.45) wend that forT t

1

2

kE()k 2

C Z

0

kE(t)k 2

dt; (3.52)

where C is a constant. By the Gronwall inequality this yields that E() 0 on (0,T), and

thus the solutionof (2.8)-(2.9) is unique.

4 Continuous Dependence

In this section we show that the weak solution of the system (2.8)-(2.9) depends

continu-ously oninitialconditions and the source term. More precisely, we prove that the mapping

(; ;J)!(E; _

E)iscontinuousfromV HH 1

(0;T;V

)toC(0;T;H)L 2

weak

(0;T;H):

To this end letus x (; ;J) 2V HH 1

(0;T;V

)and consider sequences n

! in

V, n

! in H and J n

!J in H 1

(0;T;V

): We denote the unique weak solution

corre-sponding todata ( n

; n

;J n

)by (E n

; _

E n

) for eachn. Our goal isto showthat E n

!E in

C(0;T;H)and _

E n

! _

E weaklyinL 2

(0;T;H)and(E; _

E)satises(2.8)withdata(; ;J):

We rst note that from the a priori estimate (2.22) we can conclude that the Galerkin

approximations fE

m

g alsosatisfy

k _

E

m k

2

L 2

(0;T;H)

+kE

m k

2

L 2

(0;T;V)

+2cTk _

E

m (;0)k

2

L 2

(0;T)

CT;

(4.53)

for each m, where the constant C is given as before and depends continuously on ; ;J:

Since we established the convergences E

m

! E; _

E

m !

_

E; _

E

m

(16)

L (0;T;V); L (0;T;H) and L (0;T);respectively, by the weak lowersemicontinuity of the

norms we obtain that E; the unique weak solution obtained in Section 1 also satises the

inequality above,i.e.,

k _

Ek 2

L 2

(0;T;H)

+kEk 2

L 2

(0;T;V)

+2cTk _

E(;0)k 2

L 2

(0;T)

CT: (4.54)

Now if we consider the weak solution E n

corresponding to data ( n

; n

;J n

) it satises

the same inequality (4.54) with C n

= C n

(T;f;g; n

; n

;J n

) instead of C: However, since

( n

; n

;J n

) ! (; ;J); there exists ~

C = ~

C(T;f;g) independent of n such that C n

~

C

for eachn. Thus

fE n

g is bounded in L 2

(0;T;V) (4.55)

f _

E n

g is bounded in L 2

(0;T;H) and (4.56)

f _

E n

(;0)g is bounded in L 2

(0;T): (4.57)

We alsoknow that E n

2C(0;T;H) for all n. As in the proof of existence we can conclude

thatthereexists E2L 2

(0;T;V)suchthatforasuitablesubsequence(againdenotedby E n

)

E n

! E weakly in L 2

(0;T;V) (4.58)

_

E n

! _

E weakly in L 2

(0;T;H) (4.59)

_

E n

(;0) ! E(;0) weakly in L 2

(0;T): (4.60)

We can now proceed and nish the proof of the continuous dependence of weak solutions

exactlyas we did in the existence proof if wecan show the stronger convergence

E n

!E in C(0;T;H):

Notethat no otherproperty of the Galerkin approximations was used inthe previous proof

exceptthesefourconvergences andthefactthatE

m

satises(2.33). Weestablishthe

conver-genceE n

!E inC(0;T;H)usingtheArzela-Ascolitheoremagain. Followingthearguments

atthe end ofSection2 andusing the weaklower semicontinuityof normswe canargue that

for the weak solutionscorresponding to data( n

; n

;J n

); we have

kE n

(t)k 2

V

1

C

n

1

~

C:

Hence, we can conclude that fE n

(t)g isbounded inV.

We can alsosee that fE n

g isequicontinuous inC(0;T;H):

kE n

(t+t) E n

(t)k 2

=k Z

t+t

t _

E n

()dk 2

Z

t+t

t k

_

E n

()kd !

2

t

Z

t+t

t k

_

E n

()k 2

d t

~

C: (4.61)

By an application of the Arzela-Ascoli theorem we can show that fE n

g is relatively

com-pact in C(0;T;H), so it has a subsequence (again denoted by E n

) that converges to E

in C(0;T;H): Indeed, this argument reveals that any subsequence has in turn a

subse-quence converging tothe unique limitE and hence the originalsequence converges toE in

C(0;T;H):Now the proof of continuous dependence can be nishedin the same fashion as

(17)

The theoretical results in this paper are an initial eort in developing a foundation for

nonlinear electromagnetics and the needed computationalmethodsfor such. The potential

applications of nonlinear optics with light as an information carrier are widespread and

are the basis of optical information technology and the use of optical bers. They are of

increasing importance with the development of materials (e.g., GaAs, InP, KNbO

3

) which

possess outstanding nonlinear optical and electro-optical properties [7]. Our interests arise

fromthe potentialof usinginterrogatinginputpulsesinthe IR range(terahertz) inimaging

and more specically indetection algorithms.

Nonlinearopticaleectsareusuallydescribedthroughnonlinearpolarizationlaws[6]and

many of these laws can beformulated inthe framework of this paperwhere wetreat rather

general nonlinearities. These include locally polynomial nonlinearities (e.g., so-called third

order and higher eects [6, 7]) that are bounded as the magnitude of the E eld saturates

polarizationmechanisms(e.g.,the material"freezes"dielectricallyathigh eldvalues). The

assumption that the nonlinearity is increasing with the magnitude of the E eld is again a

realistic one.

Though our treatment is for full wave propagation (as opposed to the popular paraxial

approximate models [6] found widely in the literature), even here there are some tacit

as-sumptions that may result inlimiting approximations to phenomena that actually occur in

nonlinearmaterials. Specically,theone-dimensionalmodelformulatedinSection2depends

onthetacit assumptionthat thepolarizationeld

P inthe dielectricremainsparalleltothe

electriceld

E:Even then,theusualMaxwellequationr

D=0alongwiththeconstitutive

law

D=

0

r

E+f

1 (P)

P neednotresultinr

E =0:Thisisimportantinderivingthesecond

orderformofMaxwell'sequationwheretheidentityrr

E =r(r

E) r 2

E resultsin

the simpleLaplacianonlyifr

E =0oroneassumesthis termisnegligibleasoftendonein

nonlinearoptics([6]p.54-60). Evenwithsomeobviousinadequacies,themodelconsideredin

this paperdoes facilitatetreatmentof a numberof mechanismsof interest, includingDebye

and Lorentzmaterialsthat are driven by nonlinear E eld inputs, e.g., _

P + 1

P =f(E):

Acknowledgment

The authors are grateful to Dr. Richard Albanese for numerous technical discussions,

sug-gestions and encouragement to pursue eorts in nonlinear electromagnetics. This research

wassupportedinpartbythe USAirForceOÆceofScientic Researchundergrant

AFOSR-F49620-1-00-0026.

References

[1] H.T. Banks,M.W.BuksasandT.Lin,ElectromagneticMaterialInterrogationUsing

Conductive Interfaces and Acoustic Wavefronts, SIAM Frontiers inApplied

(18)

nonlinear hyperbolic systems', Dierential and Integral Equations, 10 (1997),

309-332.

[3] H.T. Banks,K.Itoand Y.Wang,`Well-posednessfordampedsecondordersystems

with unbounded input operators', CRSC-TR93-10, NCSU, June 1993; Dierential

and Integral Equations Vol. 8(1995), 587-606.

[4] H.T. Banks, R.C. Smith and Y. Wang, Smart Material Structures, Modeling,

Esti-mation and Control, Masson/Wiley,Paris/Chichester, 1996.

[5] F.Bloom,`Asymptoticboundsforsolutionstoasystemofdampedintegrodierential

equationsofelectromagnetic theory,'J.Math. Anal.Appl., Vol.73, (1980),524-542.

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

[7] P. Gunter (ed.), Nonlinear OpticalEects and Materials, Springer, Berlin,2000.

[8] I. Kurbanov, `Solvabilityof the linear Maxwell equations with memory', Ukr. Mat.

J., Vol.43,(1991), 619-635.

[9] J.L. Lions, OptimalControl of Systems Governed byPartial Dierential Equations,

Springer-Verlag,New York, 1971.

[10] A. Milaniand R. Picard,`Evolutionequations with nonlinear constitutivelaws and

memory eects', Dierentialand Integral Equations, Vol. 15(2002), 327-344.

[11] D.L. Mills, Nonlinear Optics, Springer-Verlag, Berlin,1991.

[12] A.W. Naylor and G.R. Sell, Linear Operator Theory in Engineering and Science,

Springer Verlag, New York, 1982.

[13] A.C. Newell and J.V. Moloney, Nonlinear Optics, Addison-Wesley, Redwood City,

1991.

[14] J.Pruss,Evolutionary IntegralEquationsandApplications,Birkhauser,Basel,1993.

[15] Y.R. Shen Principles of Nonlinear Optics, Wiley,New York,1984.

[16] C. Sulem and P-L.Sulem, The Nonlinear Schrodinger Equation, Self-Focusing and

Wave Collapse, Springer-Verlag, New York, 1999.

References

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