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Internat. J. Math. & Math. Sci.

VOL. 12 NO. 1 (1989) 145-158 145

VISCOSITY SOLUTIONS ASSOCIATED WITH IMPULSE CONTROL PROBLEMS FOR

PIECEWISE-DETERMINISTIC PROCESSES

SUZANNEM.LENHART

UNIVERSITY

OF

TENNESSEE MATHEMATICS DEPARTMENT KNOXVILLE, TENNESSEE 37996-1300

(Received

July 1, 1987 and inrevisedform

Janurary

5,

1988)

ABSTRACT.

Thispaper considersexistenceand uniqueness results for viscositysolutions ofintegro-differentialequationsassociatedwiththe impulse controlproblemfor piecewise- deterministic processesonbounded domains andon

R".

KEY WORDS

AND

PHRASES.

Impulse control,viscosity solution, piecewise-deterministic processes.

1980AMS

SUBJECT CLASSIFICATION CODE.

35F20 1. INTRODUCTION.

This paper considers viscosity solutions ofintegro-differentialequationsassociated with the imptflsc controlproblemfor pieccwise-deterministic

(PD)

processes

max(Lu f,

u

M u)

0in

E (1.1)

where

Lu(z) E g,(z)uz,(x) + a(z)u(x) $(x) IS (u(y) u(x))

Q(dy,

x)

Mu(x) inf_(u(x + ) + c()).

>_o

(2)

146 S.M. LENHART

We consider the cases when

E

ft, a bounded domain in

R",

and

E R". In

the bounded domain case,wehavethe following

boundary

condition:

u(x) jf u(y)Q(dy, x)

for allxOfL

(1.2)

Let

usbriefly givethe

background

for thisproblem.

A PD

process,

x(t),

with jump rate,

(x),

and jump distribution

Q(dy, x),

follows deterministic dynamics between random jumps:

dx(t)

(9, (x(t)) (x(t))).

dt

Davis

[1]

developed theprobabilisticsideof these

PD

Markov processes. Ifthe ith jump ofthe processoccursat

T,

thenthedistributionof

x(Ti)

is

Q (dy, z(T-))

and

(/o’ )

P(+ T, > ) ((, + ))d

Davis

[1]

showed that a

PD

processisastrong Markovprocess withgenerator

i----I

with

E,

the state spe. The undy conditioncs

cause

the

PD

press jumps baintothenteiorof

, un

hittin$theundyof

.

The jumps

Td

epartof the

prs,

x().

Csi&r whencertnjumps, "imputes’, econtrolled fromoutside the

PD

process.

Supse

the stateiscgedfromx tox

+

withimpul

O,

d cost

t()

isincurredwhentheimpulse

s

appli.

An

impul control

strate

visasequence

ofstoppingtimd impuls,

(a, , a, ,... }, (a ).

The

contro PD

press x"satisfi

z’(0, + 0) x(O, 0) + . (1.3)

Theiat ctnctionis

TheminimM cost functionis

V()

if

J,(,). (.4)

HeuristicMly,the dynamicproingequation satisfiedbythe minimcost function is

i y (1.1).

For results on optimM control of

PD

presses, s Davis

[2], Vermes [3], Soner [4],

Lenht dLi

[5, 6],

dGugerli

[7]. S

Bles

[8]

fordetermisticimpose control.

(3)

VISCOSITY SOLUTIONS OF INTEGRO-DIFFERENTIAL EQUATIONS 147

In

thispaper,wedefinethe notionof viscosity solution of

(1.1)

and proveexistence and uniquenessresults in the viscosity sense. The control representation is discussed in the last section.

2.

UNIQUENESS.

Theoriginal

formulations

of viscosity solution

definitions,

by

Crandall

and Lions

[9, 10],

did not includeintegralterms inthe operators,so westate thedefinitionextensionto this case.

DEFINITION: tteBUC(") (bounded,

uniformly

continuous) (E

willbe for

R") (i)

uisaviscosity subsolutionof

(1.1)

if

m

(-,(o),,, (o) + ’(:o),(o)

/E (u(V)- U(Xo))Q(dy, xo) f(xo), A(Xo)

(o)- M(o)) o (2.)

whenever

eC (E)

du haglobMmimumat

xo.

(ii)

uisaco,ityauperaolutionof

(1.1)

if

= (-a(o),, (o) + (o )(o

f ((v)- (o))(dv, o)-/(o), A(xo)

(o)- M(o))

0

(2.2)

whenever

eC (E)

du haglobMminimumat

xo.

Note

that implicit sumtion on

reated

subscripts is usedontheg, terms above.

We me

the

followg

smptions:

A, f,

abounded uniformlycontinuouson

E,

gi Lipschitzcontinuouson

E,

1,...,

a(z) >_ co >

0on

E, A(x) _ O, f(x) >

0on

E,

for each fixed

xE, Q(dv, x)

isaprobabilitymeasure whichisLipschitz continuous as afunctionofx, i.e.,

/E ()(d’x) -/E ()0(dv, z) < CIIIILooI zl

for all

OCL(E), (2.7) (2.3) (2.4)

and

c(-)

isacontinuous, subadditive, increasing, positivefunctionon

(R +)"

with

(4)

I8 S.H. LT

c({) --

ooas

{

-4o,

(0) ,

c({)>_ k>Oforall_>O.

We

assumethatfisasmoothboundeddomainin

R".

We

needanassumption thatguarantees

c(n) Mc(a),

fromLionsand Perthame

[11],

wehavetheneededassumption:

for

allzd, {{>0l{#0, z+’t0Q,

9s>O, s.t.Vy>0,

(2.0) z+!/Cif[y-[<}

isempty.

If

D

isconvex, then

(2.10)

holds.

We

nowprovecomparison resultsinflandthenin

R"

that yield uniqueness rcsults for equation

(1.1).

TXEOrtEM 2.1. Under assumptions

(2.3)-(2.10)

on

l,

ifu is a viscosity subsolution of

(1.1)

on andv isaviscositysupersolutionof

(1.1)

on with

u(z) < n u(y)Q(dy, z)

and

v(.) >_ n v(y)Q(dy, z)

/orall xE

OD, (2.11)

thenu

<

v on

D.

PROOF:

Let

0

<

#

<

1 and setw #u. Thereexistszin

D

such that

(w v)(z) m_ax(w v)(x).

Firstweshowthatwe canchoosez sothat z Off. IfzE

OQ,

then

m(- ) (,) (,) < (()- ()) Q(a, )

by

(.**)

< sup(w v).

If the maximum ofw- vdoesnotoccurataninteriorpoint, then thereexistsaset

A

C

D

such that

Q(A, z) >

0 and

w(y)- v(y) < max(w v)

for all

yeA.

Then

Q(dy, z) < sup(w- v), v(y))

which isacontradiction. Sothereexists wherethemaximum occurs. Thuswecan assume z(

t.

(2.s)

(2.9)

(5)

VISCOSITY SOLUTIONS OF INTEGRO-DIFFRRBNTIAL EQUATIONS 149

Then

st

-- I111-, ,(= ,) I1 II-). ,,,(=) () = - C,l

where

C, , (’)

d

,

is a mulus of continty for v.

(=’, ’)

fl

su

that

There exists

implies

="

- " = + c,I/- zl = _< < w(=’)

2M.

,,(=’) (,(z) ,,(=)) + ,,(=’)

Refiningthisestimategives

andthen

+ o,1," _< ,,.,,, (1=" u’l)

Thisimplies

OascO.

Also

C,l," =1 = < c, =,

and then

lY" zl

--"0ase: O.

Noticealsowehave for esufficiently small,x*, y* E since zE ft.

Sincewisaviscosity subsolution of

max

(-giw., +

aw )

jf (w(y) w(x)) Q(dy, x) #f

w

.-u,)

=0,

Mw(x) inf_(w(x + ) + #C())

e>0

Ce ly zl

2 hasamaximumat

z’,

(2.12)

(2.13)

(6)

150 S.M. LENHART

_g.(=,) l: (=" v"

,(,)_ w() _< o. (2.14)

Sincev is a

supersolution

of

(1.1)

and

---. ,,(v)- ((o)

hasaminimum aty,

I’ )

xo -_____v C, ItJo zl =

max

(-e.(!/’) (2 (

a:"

e- !/). +

2C,

(/*

+ a(y’)v(y’)- A(y’) fn (v(!/) v(!/’))Q(dy, y’)

v(y’)- My(y’)) >

O.

CAS

A.

,,(v’) >_

There exists

* >

0 such that

Mv(z) v(x" + ’) + c(’).

From property

(2.10),

My6_.

C(fl),

and

Mv(x) Mv(!f)

canbemade smallfor small.

c, Iv" 1

-C, lv’- +(=’)-(’).

u (- z)(’) _< (- z),

(I,,(=’v’) _< =(=" + ’) ,(=" + ’) C,l=" + zl + c. (I" + ’- ,l’ -I" t ) + (. - )

+ Mv(:r,’) Mv(y’).

Hence

for smallenough,using(p ]k

<

O,

whichcontradictsourchoiceof

(z , V’)-

Notice this partiswhere

C,

isused.

CASE B:

v(!/) < My(v*).

Using

(2.14)

and

(2.15),

(7)

VISCOSITY SOLUTIONS OF INTEGRO-DIFFERENTIAL EQUATIONS 151

-<

2

(9’(Ye) 9’(=e))

(2.16) 2g,(y’)C,(y" z)i (y’)/o (v(y) v(y’)) (du, y)

+ x(=’) ((u)- g c(1- #) + o,(1).

(Note

that

o,(1)

0

0.) S

nhEt

[12]

for estimateonsuchintegral terms;

thekey ideausedisthat

[(w(y) v(y)) (w(z) v(z))] Q(dy,

x

e) <_

0

(2.17)

and theintegralterms in

(2.16)

areclose tothe integralterms in

(2.17).

Thusweconclude

max

(w(z) v(x)) < C(1 #) + oe(1).

Let/z-,l,

max

(u(x) v(z)) < oe(1).

Then lete O,

max(u(x) v(z)) <

O. | Nowweobtainasimilarresult in

R".

THEOREM 2.2. Under assumptions

(2.3)-(2.9)

on

R",

ifu is a viscositysubsolution of

(1.1)

on

R"

andv isaviscositysupersolutionof

(1.1)

on

R",

then

,,() _< (=)

o.

R".

PROOF"

Let

o

<

$

<

1. Usingnotationfromproofof Theorem2.1, choosezsuch that

w(z) v(z) >_ sup(w v)(z) .

If

Cely- zl

2

+ Il > 5mx(ll=ll, Ii,11),

with

Ce V/W (v/2M + 1),

,(=, v) _< ,(,,)

(Xe,ye*).

Thus

qe

doesachieve its maximum atafinitepoint,say at (xe,y

*) (x**, ye*).

Weobtain

(2.12)-(2.15)

asbefore,with xe

yes .._,

0as --,0and 6 O.

CASE A" v(!/e) >_ Mv(ye). By (2.8),

thereexists

1 >

0 suchthat

(8)

152 S.M. LENHART

and

I]1 < C1

where

C1

dependson

IIt, lloo

but noton

e,6. Now

_< (" + ’) + m( ) (., + ’) (’) + k(1 ,)

-< ,(" + ’) ,,(v" + T’) , c, Iv" + ]

+ c, (I/+

1 -I/- 1) + -(, )

_< q,(x" + ],y" + (]) + o,,(1) + 2k-(# 1)

< ,(x" + ], y" + ])

foresufficiently small.

Thiscontradicts thechoiceof

(x’,y’).

CASE B: v(lf) < Mv(y e)

follows asinTheorem 2.1. | 3.

EXISTENCE RESULTS.

Due

to the possible incompatibility of the impulse obstacle and boundary condition

(1.2),

weshallproveexistenceof viscosity solutions to

max(Lu f,

u

M u)

0 infl satisfyingtheboundarycondition:

u(z) Mu(z)

A

L u(y)Q(dy, z)

forzeOft

(A

minimum

symbol). (3.2)

Condition

(3.2)

formallymeans thestate process couldjump back intotle interior of ft uponhitting

o

oranimpulse couldbeusedtochange the state.

We

havethe following existenceresult.

THEOREM 3.1. Under assumptions

(2.3)-(2.10)

on

f,

thereisaunique viscositysolution of

(3.1)

onft satisfying

(3.2).

PROOF- For

eW’(),

by an extension of

[5, 12],

we have the existence of unique viscosity solution of

(9)

VISCOSITY SOLUTIONS OF INTEGRO-DIFFERENTIAL EQUATIONS 153

max(Lu f,

u

)

0on12

(3.3)

satisfying

A

L u(y)Q(dy,

x)for ze0f/.

(3.4)

We

alsohave thecontinuous

dependence

ofu on

,

i.e.,iful,u2 areviscosity solutionsof

(3.3)

satisfying

(3.4)

withobstacles

1,

2, respectively,

II,= ,=Iloo _< II, =Iloo.

Using this continuousdependence result, we obtain theexistence and uniqueness ofvis- cosity solutions of

(3.3)

satisfying

(3.4),

forobstacles in

C(12). Now

we willapply this resultwith

Mu,

with

uC(12)

giving

MuC(12)

by

(2.10).

We

nowconstructasequence which will convergetothesolution of

(3.1)

satisfying

(3.2).

Defineu0 to bethe unique viscositysolutionof

Luo f

in

R

u0(z) / u0Cy)QCdv, z)

onOf/.

By (2.10), u0eC(12)

implies

Mu0eC(12)..

Thus thereexistsasequence of viscositysolutions, satisfying

max(Lu,, f,

u,,

Mu,-l)

0in 12

,.() M,,._() ^ [

do

.(v)Q(dv,)

o

On.

By

amaximumprincipleargumentonthese viscositysolutions, weobtain 0

_

u,,

_

u._l, n 1,2,

To get

uniform convergenceofoursequence,first defineamap

cr"

C(12)

--,

C(12)

by

()

uwhere

uisthe viscosity solution of

(3.3)

satisfying

(3.4).

The map

T

ao

M

isincreasingandconcave.

We

havethefollowing properties forT:

Thereexists

A

in

(0,1)

such that

Au0 <_

k.

(10)

154 S.H. LENHART

If thereexists

e[0,1]

such that

v w

_< w,

then

Tv Tw <_ (1 A)/Tu. (3.5) See Hanouzet

and Joly

[13],

Perthame

[14, 15]

and Barles

[8, 16]

for examplesofthis technique. Siuce u0 ul

_

-0, veiterate

3.5)

toobtain

In

this way, weobtain uniform convergence, u,, --, u. The uniform convergence ofu, insures the convergence of the integral termsand Mu,_l, and wehave that u satisfies

boundary

condition

(3.2).

To

showthelimitfunctionuisaviscositysolution,wefirstlookatpointx0 whereu-

hasa

global

minimum. Then thereisasequence

{x, }

convergingtox0 such that u, hasitsminimumat x,. Sinceu,

<

Mu,,_l on

fl,

weknow

u

< Mu

onf.

Ifu

Mu

atx0,then theviscositysupersolutioncondition

(2.2)

issatisfied. Ifu

< Mu

atx0,

then

u.(x.) < Mu._(x.)

forn large

enough,

which implies

A lft (u.(y)- u.(x,,))Q(dy, x.) >_ f

at

x..

Letting n

,

we haveu is a viscosity

surlution.

The sublution c follows

similly.

Theuniquene resultfollows inThrem2.1except forthecewhen themaximum ofw vcursat

zeO.

v(z) v(y)Q(dy,x)

then thegumentg fore.

v(z) My(z),

thenthereexistsnonzero 0

su

that

My(z) v(z + ) + c().

Then

,(z) () < ,( + ) + ,() ( + p) ()

< ,( + ) ( + ) + ( )

< ( + ) (z +

whichisacontradictionof the choice ofz.

1

(11)

VISCOSITY SOLUTIONS OF

INTEGRO-DIFFERENTIAL

EQUATIONS 155 The existence

proof

for the

R

caseissimpler.

THEOREM

3.2. Underassumptions

(2.3-2.9

on

R",

there

ests

aunique viscosityso- lution to

(1.1)

in

R n.

PROOF" We

usetheiterative approximationschemeon

R n,

max(Lun f,

u,

Mun_)

0 in

R n,

n 1, 2,... and

Luo f

in

R n. (3.6)

To

obtainexistencefor

(3.6),

we useextensionsof results from

[5, 12]

with

b

in

BUC(Rn).

Note

that

un_1eBUC(R n)

implies

Mun_IeBUC(R). By

usinganoperator

T

asinThe- orem

3.1,

weobtain uniform convergence of

{un}

toaviscositysolutionu. The uniqueness resultisTheorem2.2. |

4.

CONTROL REPRESENTATION.

To

put the results obtainedin section 3in thecontextof theclassicalresultsonimpulse control

(Bensoussan

and Lions

[17]

and Menaldi

[18])

weshow that thesolution obtained inTheorem3.2isequaltothevaluefunction associatedwiththe impulsecontrolproblem

(1.4).

THEOREM

4.1. Theunique viscosity solution

u(z)

from Theorem3.2isequa/tothe value function

V(x)

from

(1.4)

PROOF" First,weshow that the approximations

un

have thefollowingcontrol interpreta- tion:

un(x) inf{J.(v,)’vn

impulsecontrol strategywith 8,

,

for all

_>

n

+ 1}, (4.1)

i.e.,

u

isthe minimum cost function associated withthe impulsecontrolproblemwithat most nimpulses allowed.

We

show

(4.1)

byinduction. Call the right hand side of

(4.1), Vn(x).

The representation foru0

(no

impulses)isvalid.

Assume (4.1)

forUn-:.

By [5,12],

wehave

Un(X) if E J’(z())e-’d + MUn_:(.(O))e -’ (4.2)

where0is astoppingtime.

Let

Vn be animpulse control

strategy

with n impulses,

v. (01,6,...,0,,,).

By (4.2),

and writing

xn(t) xv’(t)

from

(1.3),

(12)

156 S.M. LENHART

Therefore

..() <_ v.().

To

show

u. _> Vn,

for

>

0,choose8, such that

(4.3)

Using

(2.8),

choose

1

such that

M.._,(.(O, 0)) ,,._,(.CO, o) + ,) + (,). (4.4) By

the inductive hypothesison

u.-,(z($1-0)+),

thereexistsanimpulse control

strategy

v._]

(S,,,,... O > 01,

uchthat

(4.5)

where

v. (0,, ,,

v._]

).

Thiscompletestheproof of

(4.1).

By

construction,

u.

u. Thus, by

(4.1),

u(z) <

inf

Jz(v.)

for alln.

For

e

>

0, thereexistsa

strategy vm

suchthat

(13)

VISCOSITY SOLUTIONS OF INTEGRO-DIFFERENTIAL EQUATIONS 157

,,(,) _< J,(.) < v(.) +

e.

Thusu

_< V. To

showu

_> V,

thereexistsindexj

large enough

and

strategy v,

such that

,() < .() + 12 < .() +

andhence

V(z) _< u(z).

|

Similar controlrepresentations can be obtainedinthe

bounded

domaincase.

ACKNOWLEDGEMENT.

The researchwas

supported

inpart

by NSF

grant

#DMS- 8508651,

Institutefor Mathematics and

Its

Applications, Minneapolis,and University of

Tennessee

Science Alliance

Research

Incentive

AwaruL REFERENCES

Z.’:,qs,,i.H. A.,P/eceudae-determ/n/iicMarkov process:A

gene

clsoInon-sionmeb, J.

y

Ststt. B.46(19),

2.DAVIS,M. H.A., ontlofee-deingic

a

e-gimeamicPmming, in

"Pn

ofSBHnef SymiumonShti DiffetiSystem," I85.

.

VERM, D., timntlofpie.deiinticMaovp,e, Sthti14 (1985), 1.

4.NER, M., fimdConfl Stafe-SpaCotinf II,SIAMJ.dntl dtim.24

5.LENHA,S.M.dLIAO,Y. C.,Inte-dinfi afiommsodafed thopfimalafoppin9

me of

apie-detemintieps, ShtiIS(1985),183-207.

e.

LENHA,S. M.dLIAO, Y. C.,5tchingUontlofe.DeleminticPse,Jour d Optim.Thawd Appikations(toap).

7.GUGERLI,U.S., timal$ZoppingofaPiee-DeleminticMaroPess, Sthti19 8.BARLES, G.,Deiemintic Impbive ContmlPble, SIAM J.of ntroldOptimization().

9.CRANDALL,Hamilton-JacobiM. G., EVANS, L.ealions,

sns. .

A.M.andS.LIONS,282(1984),P. L.,487-502.Somepiesofvcosit solut,o of 10.CRANDALL, M.G. dLIONS, P.L., VcositSolutionsofHamilton-acobi Equation,

s.

A.

M.S.93(1983),14.

11.LIONS, P. L. and PERTHAME, B., asi-aalionalInequahttes and Ergodic Impue Contl, SlAMJ.ofntrol and Optimization24(1986),604-615.

12.LENHART,S.M., Vcosit5olutioAssociated th Sching Contl ProbleforPiecewise-De- re--in,ticPcesses,Houston J.ofMath.(tospear).

13.HANOUZET, B. dJOLY, J. L., Conveenceunifoe des itrs dfinnisant lasolutwnd’une inquationiaationelleabiraite, Compte Rend(Paris)286A(1978),735-745.

14. PERTHAME,B.,lnequalioQui-VaatwnnellesetEquations de Hamilion-3acobi-Bellmanda Rn,Ann. de Toulou5(1983),237-257.

15. PERTHAME,B.,Quasivaalional lnequahtzes and Hamilton-Jacobi-BellmanEquationsin aBounded Rion,

mm.

P. D.E.9(1984),561-595.

16.BARLES, G.,Qui-vadational inequalihesandfirstorder Hamilton-acobiequations,Ths,Uni- recitedeParIX-Dauphine(1984).

17.BENSOUSSAN,A.andLIONS, J.L.,,Impulse Control andQuasi-vaatzona lnequaht:es, Dun,

Paris 1984).

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