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
OFTENNESSEE
MATHEMATICS DEPARTMENT
KNOXVILLE,
TENNESSEE
37996-1300
(Received
July 1, 1987 and inrevisedformJanurary
5,1988)
ABSTRACT.
Thispaper considersexistenceand uniqueness results for viscositysolutions ofintegro-differentialequationsassociatedwiththe impulse controlproblemfor piecewise-deterministic processesonbounded domains andonR".
KEY WORDS
ANDPHRASES.
Impulse control,viscosity solution, piecewise-deterministic processes.1980AMS
SUBJECT CLASSIFICATION CODE.
35F201. INTRODUCTION.
This paper considers viscosity solutions ofintegro-differentialequationsassociated with the imptflsc controlproblemfor pieccwise-deterministic
(PD)
processesmax(Lu
f,
uM
u)
0inE
(1.1)
where
Lu(z)
E
g,(z)uz,(x)
+
a(z)u(x)
$(x)
IS
(u(y)
u(x))
Q(dy,x)
Mu(x)
inf_(u(x
+
)
+
c()).
146 S.M. LENHART
We consider the cases when
E
ft, a bounded domain inR",
andE
R". In
the bounded domain case,wehavethe followingboundary
condition:u(x)
jf
u(y)Q(dy,
x)
for allxOfL(1.2)
Let
usbriefly givethebackground
for thisproblem.A
PD
process,x(t),
with jump rate,(x),
and jump distributionQ(dy,
x),
follows deterministic dynamics between random jumps:dx(t)
(9,
(x(t))
(x(t))).
dt
Davis
[1]
developed theprobabilisticsideof thesePD
Markov processes. Ifthe ith jump ofthe processoccursatT,
thenthedistributionofx(Ti)
isQ (dy,
z(T-))
and(/o’
)
P(+
T,
>
)
((,
+
))d
Davis
[1]
showed that aPD
processisastrong Markovprocess withgeneratori----I
with
E,
the state spe. The undy conditioncscause
thePD
press jumps baintothenteiorof,
un
hittin$theundyof.
The jumpsTd
epartof the prs,x().
Csi&r whencertnjumps, "imputes’, econtrolled fromoutside thePD
process.Supse
the stateiscgedfromx tox+
withimpulO,
d costt()
isincurredwhentheimpulses
appli.An
impul controlstrate
visasequence ofstoppingtimd impuls,(a,
,
a,
,...
},
(a
).
The
contro PD
press x"satisfiz’(0,
+
0)
x(O,
0)
+
.
(1.3)
Theiat ctnctionis
TheminimM cost functionis
V()
ifJ,(,).
(.4)
HeuristicMly,the dynamicproingequation satisfiedbythe minimcost function is
i
y
(1.1).
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 solutiondefinitions,
byCrandall
and Lions[9,
10],
did not includeintegralterms inthe operators,so westate thedefinitionextensionto this case.
DEFINITION:
tteBUC(")
(bounded,
uniformlycontinuous)
(E
willbe forR")
(i)
uisaviscosity subsolutionof(1.1)
ifm
(-,(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 haglobMmimumatxo.
(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 haglobMminimumatxo.
Note
that implicit sumtion onreated
subscripts is usedontheg, terms above.We
me
thefollowg
smptions:A,
f,
abounded uniformlycontinuousonE,
gi Lipschitzcontinuouson
E,
1,...,a(z) >_
co >
0onE,
A(x)
_
O,
f(x) >
0onE,
for each fixed
xE,
Q(dv,
x)
isaprobabilitymeasure whichisLipschitz continuous as afunctionofx, i.e.,/E
()(d’x)
-/E
()0(dv, z) <
CIIIILooI
zl
for allOCL(E),
(2.7)
(2.3)
(2.4)
I8 S.H. LT
c({)
--
ooas{
-4o,(0)
,
c({)>_ k>Oforall_>O.
We
assumethatfisasmoothboundeddomaininR".
We
needanassumption thatguaranteesc(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. IfD
isconvex, then(2.10)
holds.We
nowprovecomparison resultsinflandtheninR"
that yield uniqueness rcsults for equation(1.1).
TXEOrtEM 2.1. Under assumptions
(2.3)-(2.10)
onl,
ifu is a viscosity subsolution of(1.1)
on andv isaviscositysupersolutionof(1.1)
on withu(z)
<
n
u(y)Q(dy,
z)
andv(.)
>_
n
v(y)Q(dy,
z)
/orall xEOD,
(2.11)
thenu<
v onD.
PROOF:
Let
0<
#<
1 and setw #u. ThereexistszinD
such that(w
v)(z)
m_ax(w
v)(x).
Firstweshowthatwe canchoosez sothat z Off. IfzE
OQ,
thenm(- )
(,)
(,)
<
(()-
())
Q(a,
)
by(.**)
<
sup(w
v).
If the maximum ofw- vdoesnotoccurataninteriorpoint, then thereexistsaset
A
CD
such that
Q(A,
z) >
0 andw(y)- v(y)
<
max(w
v)
for allyeA.
Then
Q(dy,
z)
<
sup(w-
v),
v(y))
which isacontradiction. Sothereexists wherethemaximum occurs. Thuswecan assume z(
t.
(2.s)
VISCOSITY SOLUTIONS OF INTEGRO-DIFFRRBNTIAL EQUATIONS 149
Then
st
--
I111-,
I1
II-).
,(= ,)
,,,(=)
()
=
-
C,l
where
C,
,
(’)
d,
is a mulus of continty for v.(=’, ’)
flsu
thatThere exists
implies
="
-
"
=
+
c,I/-
zl
=
_<
w(=’)
,,(=’)
(,(z)
,,(=))
+
,,(=’)
<
2M.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>0Ce
ly
zl
2 hasamaximumatz’,
(2.12)
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 thatMv(z)
v(x"
+
’)
+
c(’).
From property(2.10),
My6_.
C(fl),
andMv(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*).
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
thato,(1)
00.)
S
nhEt[12]
for estimateonsuchintegral terms; thekey ideausedisthat[(w(y)
v(y))
(w(z)
v(z))]
Q(dy,
xe) <_
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)
onR",
ifu is a viscositysubsolution of(1.1)
onR"
andv isaviscositysupersolutionof(1.1)
onR",
then,,() _<
(=)
o.R".
PROOF"
Let
o<
$<
1. Usingnotationfromproofof Theorem2.1, choosezsuch thatw(z)
v(z)
>_
sup(w
v)(z)
.
If
Cely-
zl
2+
Il
> 5mx(ll=ll, Ii,11),
withCe
V/W
(v/2M + 1),
,(=,
v) _< ,(,,)
(Xe,ye*).
Thusqe
doesachieve its maximum atafinitepoint,say at (xe,y*)
(x**,
ye*).
Weobtain
(2.12)-(2.15)
asbefore,with xeyes
.._,
0as --,0and 6 O.152 S.M. LENHART
and
I]1 < C1
whereC1
dependsonIIt,
lloo
but notone,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 tomax(Lu
f,
uM
u)
0 infl satisfyingtheboundarycondition:u(z)
Mu(z)
AL
u(y)Q(dy,
z)
forzeOft(A
minimumsymbol).
(3.2)
Condition(3.2)
formallymeans thestate process couldjump back intotle interior of ft uponhittingo
oranimpulse couldbeusedtochange the state.We
havethe followingexistenceresult.
THEOREM 3.1. Under assumptions
(2.3)-(2.10)
onf,
thereisaunique viscositysolution of(3.1)
onft satisfying(3.2).
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 thecontinuousdependence
ofu on,
i.e.,iful,u2 areviscosity solutionsof(3.3)
satisfying(3.4)
withobstacles1,
2, respectively,II,=
,=Iloo _<
II,
=Iloo.
Using this continuousdependence result, we obtain theexistence and uniqueness of vis-cosity solutions of
(3.3)
satisfying(3.4),
forobstacles inC(12).
Now
we willapply thisresultwith
Mu,
withuC(12)
givingMuC(12)
by(2.10).
We
nowconstructasequence which will convergetothesolution of(3.1)
satisfying(3.2).
Defineu0 to bethe unique viscositysolutionof
Luo
f
inR
u0(z)
/
u0Cy)QCdv,
z)
onOf/.By
(2.10),
u0eC(12)
impliesMu0eC(12)..
Thus thereexistsasequence of viscositysolutions, satisfyingmax(Lu,,
f,
u,,Mu,-l)
0in 12,.()
M,,._()
^
[
.(v)Q(dv,)
oOn.
do
By
amaximumprincipleargumentonthese viscositysolutions, weobtain0
_
u,,_
u._l, n 1,2,To get
uniform convergenceofoursequence,first defineamapcr"
C(12)
--,C(12)
by()
uwhereuisthe viscosity solution of
(3.3)
satisfying(3.4).
154 S.H. LENHART
If thereexists
e[0,1]
such thatv w
_<
w,
thenTv
Tw
<_ (1
A)/Tu.
(3.5)
See Hanouzet
and Joly[13],
Perthame[14,
15]
and Barles[8,
16]
for examplesofthistechnique. Siuce u0 ul
_
-0, veiterate3.5)
toobtainIn
this way, weobtain uniform convergence, u,, --, u. The uniform convergence ofu, insures the convergence of the integral termsand Mu,_l, and wehave that u satisfiesboundary
condition(3.2).
To
showthelimitfunctionuisaviscositysolution,wefirstlookatpointx0 whereu-hasa
global
minimum. Then thereisasequence{x,
}
convergingtox0 such that u,hasitsminimumat x,. Sinceu,
<
Mu,,_l onfl,
weknowu
<
Mu
onf.Ifu
Mu
atx0,then theviscositysupersolutioncondition(2.2)
issatisfied. Ifu<
Mu
atx0,then
u.(x.) < Mu._(x.)
forn largeenough,
which impliesA
lft
(u.(y)- u.(x,,))Q(dy,
x.) >_
f
atx..
Letting n
,
we haveu is a viscositysurlution.
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 0su
thatMy(z)
v(z
+
)
+ c().
Then
,(z)
() <
,(
+
)
+
,()
(
+
p)
()
< ,(
+
)
(
+
)
+
(
)
< (
+
)
(z
+
VISCOSITY SOLUTIONS OF
INTEGRO-DIFFERENTIAL
EQUATIONS 155The existence
proof
for theR
caseissimpler.THEOREM
3.2. Underassumptions(2.3-2.9
onR",
thereests
aunique viscosity so-lution to(1.1)
inR
n.
PROOF" We
usetheiterative approximationschemeonR
n,
max(Lun
f,
u,Mun_)
0 inR
n,
n 1, 2,... andLuo
f
inR
n.
(3.6)
To
obtainexistencefor(3.6),
we useextensionsof results from[5, 12]
withb
inBUC(Rn).
Note
thatun_1eBUC(R
n)
impliesMun_IeBUC(R).
By
usinganoperatorT
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 theclassicalresultsonimpulsecontrol
(Bensoussan
and Lions[17]
and Menaldi[18])
weshow that thesolution obtained inTheorem3.2isequaltothevaluefunction associatedwiththe impulsecontrolproblem(1.4).
THEOREM
4.1. Theunique viscosity solutionu(z)
from Theorem3.2isequa/tothe value functionV(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],
wehaveUn(X)
if
E
J’(z())e-’d
+
MUn_:(.(O))e
-’
(4.2)
where0is astoppingtime.
Let
Vn be animpulse controlstrategy
with n impulses,v.
(01,6,...,0,,,).
156 S.M. LENHART
Therefore
..() <_ v.().
To
showu.
_> Vn,
for>
0,choose8, such that(4.3)
Using
(2.8),
choose1
such thatM.._,(.(O,
0))
,,._,(.CO,
o)
+
,)
+
(,).
(4.4)
By
the inductive hypothesisonu.-,(z($1-0)+),
thereexistsanimpulse controlstrategy
v._]
(S,,,,...
O
>
01,
uchthat
(4.5)
where
v.
(0,,
,,
v._]).
Thiscompletestheproof of(4.1).
By
construction,u.
u. Thus, by(4.1),
u(z)
<
infJz(v.)
for alln.VISCOSITY SOLUTIONS OF INTEGRO-DIFFERENTIAL EQUATIONS 157
,,(,) _< J,(.)
<
v(.)
+
e.Thusu
_<
V. To
showu_> V,
thereexistsindexjlarge
enough
andstrategy
v,
such that,()
<
.()
+
12
<
.()
+
andhence
V(z)
_<
u(z).
|Similar controlrepresentations can be obtainedinthe
bounded
domaincase.
ACKNOWLEDGEMENT.
The researchwassupported
inpartby
NSF
grant#DMS-8508651,
Institutefor Mathematics andIts
Applications, Minneapolis,and University ofTennessee
Science AllianceResearch
IncentiveAwaruL
REFERENCES
Z.’:,qs,,i.H. A.,P/eceudae-determ/n/iicMarkov process:A
gene
clsoInon-sionmeb, J.y
Ststt. B.46(19),2.DAVIS,M. H.A., ontlofee-deingic
a
e-gimeamicPmming, in"Pn
ofSBHnef SymiumonShti DiffetiSystem," I85..
VERM, D., timntlofpie.deiinticMaovp,e, Sthti14 (1985),1.
4.NER, M., fimdConfl Stafe-SpaCotinf II,SIAMJ.dntl dtim.24
5.LENHA,S.M.dLIAO,Y. C.,Inte-dinfi afiommsodafed thopfimalafoppin9
me of
apie-detemintieps, ShtiIS(1985),183-207.e.
LENHA,S. M.dLIAO, Y. C.,5tchingUontlofe.DeleminticPse,Jourd Optim.Thawd Appikations(toap).
7.GUGERLI,U.S., timal$ZoppingofaPiee-DeleminticMaroPess, Sthti19 8.BARLES, G.,Deiemintic Impbive ContmlPble, SIAM J.of ntroldOptimization(). 9.CRANDALL, M. G., EVANS, L.
.
andLIONS, P. L., Somepiesofvcosit solut,o ofHamilton-Jacobiealions,
sns.
A.M.S.282(1984),487-502.10.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 Problefor
Piecewise-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,