443 Internat. J. Math. & Math. Sci. VOL. 13 NO. 3 (1990) 443-452 FUNDAMENTAL THEOREM OF WIENER CALCULUS CHULL PARK Dept. of Math. & Stat. Miami University Oxford, OH 45056 DAVID SKOUG Dept. of Math. & Stat. University of Nebraska Lincoln, NE 68588-0323 LAWRENCE SMOLOWITZ Dept. of Math. & Comp. Sci. Hobert & William Smith College Geneva, NY 14456 (Received April 12, 1989) ABSTRACT. In this paper we define and develop a theory of differentiation in Wiener C[0,T]. We then proceed to establish a fundamental theorem of the integral calculus for C[0,T]. First of all, we show that the derivative of the indefinite Wiener integral exists space and equals the integrand functional. C[0,T] Secondly, we show that certain functionals defined on are equal to the indefinite integral of their Wiener derivative. KEY WORDS AND PHRASES. Wiener (measure, integral, derivative, absolute continuity), Lebesgue absolute continuity, fundamental theorem. 1980 MATHEMATICS SUBJECT CLASSIFICATION. 1. 28C20, 46G05. INTRODUCTION. Consider the Wiener measure space (C[0,T], 5 mw) where C[0,T] is the space of all continuous functions x on [0,T] vanishing at the origin. For each partition rn < n T, let Xr:C[0,T {tl,...,tn} of [0,T] with 0 O < < n defined by Xr(x be the a-algebra of Borel sets x(r) (x(tl),...,X(tn)). Let n be r in [R n. Then a set of the type Co PARK, D. SKOUG AND L. SMOLOWITZ 444 {x is called a Wiener interval E C[0,T] Xr(X B} E _= (or a Borel cylinder). It mw(I n XI(B), B is well known that (1.1) K( B where II { tj-tj-lj=l 2r(tj-tj-1)}-l/2exPI-1/2j=l (r/.i-r/j_l)2 } n K(r’lT) (l,...,r/n), with The measure mw is a probability measure defined on of all Wiener intervals and mw is extended to the Caratheodory extension the algebra of 3. Let r/0 0. r be the a-algebra generated by the set {XI(B) n} B with r Then, by the definition of conditional expectation, see Doob [1], Tucker [2] and fixed. Yeh and (1.2) [3], for each Wiener integrable function ttr(B) F(x), F(x)mw(dx)= E(Flr)mw (dx) XI(B x-lr (B) Y)Px r(d) E(F(x)]Xr(X) B B e 2 n, PX r(B) mw(x-l(B)), and E(F(x)lXr(X ) is a Lebesgue measurable function which is unique up to null sets in 1 n. Also, using (1.1) and (1.3) and choosing where of F(x) 1, we see that PX (d)= K(r,)d (1.4) T or dP X r Next, for each F E e Rn K(r,) d/ LI(C[0,T],mw) (1.5) and each partition r of Fr C[0,T], let (1.6) E(FIr) and F() Then, {Fr} E(F(x)[Xr(X for almost all x e (1.7) for almost all x e lim Ilrll 0 E(F(y) lXr(y x(r)) lim Ilrll 0 F(x(r)) (1.9) C[0,T]. For a given partition r on (1.8) F(x) Fr(X C[0,T]. Furthermore, F(x) Ix(r)] E(FIXr)( is a martingale, and by the martingale convergence theorem, lim Ix] ) [0,T] by rn of [0,T] and x e C[0,T], define the polygonal function 445 FUNDAMENTAL THEOREM OF WIENER CALCULUS [x](t) x(tj_l) + Similarly, for each t-t j_ < < tj, 1,...,n. tj-tj_ (x(tj)- x(tj_l)), tj_ (r/1,...,rn) E [n, define the polygonal function [i}] of on [0,T] by t-t j_ r/j_l + tj-tj_ (j- /j_l) tj_ < < t.j, Then both functions Ix] and ] are continuous on [0,T], each subinterval [tj_1,tj], and [x](tj) = x(tj) and [](tj) For x,y e C[0,T], we use the convention: [](t) x _< y if and only if 1...,n with z]0 0. their graphs are line segments on r/j at each E r. tj x(t) _< y(t) for every [0,T] < y if and only if x(t) < y(t) for every e (0,T] and x The main purpose of this paper is to define and develop a theory of differentiation in Wiener space on C[0,T], and then C[0,T]; namely, that the to establish a fundamental theorem of the integral calculus Wiener derivative of the indefinite integral [ F(y)mw(dY is y_<x F(x), and that a Wiener absolutely continuous function can be expressed as the indefinite integral of its Wiener derivative. This study was initiated by Smolowitz [4]. we incorporate some recent results of Park and Skoug simplify the concepts and results of Smolowitz 2. [5] to improve and substantially [4]. THE WIENER DERIVATIVE. Our first objective is to define the Wiener derivative "x y_<xF(y)mw(dY) for F [5] In this paper LI(C[0,T],mw). .x(.) so that F(x) We stm’t by quoting the following theorem from Park and Skoug which plays an important role in this paper. LI(C[0,T],mw). Then for any Borel set F(x)mw(dX [ Ex[F(x -[x] + ]]Px (d) THEOREM A. Let F E [ #r(B) B n, (2.1) where Ex[F(x- Ix] + ])1 [ F(x- Ix] + CI0,T] [])mw(dx). In view of (1.3) and (2.1), we may conclude that ) E(F(x)IXr(X) for almost all terms of an ordinary Wiener integral. F() Ex[F(x- [x] + [])] (2.2) in n; i.e., we may express the conditional expectation E(FIXr)( E(FIXr)( is in Note that for F e LI(Nn,PX (d). T in LI(C[0,T],mw) Also note that for each x e C[0,T] and each 446 C. PARK, D. SKOUG AND L. SMOLOWITZ {tl,...,tn} x(tl)," ",X(tn). of partition r [0,T] [0,T], F(x(r)) E(F(y)lXr(y DEFINITION 1. Let F E LI(C[0,T],mw). define the operator by x(r) x(r)) is a function of For each partition r {tl,...,tn} On if it exists. derivative of F(x(r)) .x(r)F(x) 0X(n).. 0X(tl) / K(r,x(r)) Furthermore, if .x(r)F(x) exists for each partition r, then the Wiener F(x) of (2.3) is defined by lim x(r)F(x) if the limit exists. Our first theorem is the first half of the fundamental theorem of Wiener calculus. THEOREM 1. Let F E LI(C[0,T],mw). Then "x y_<xJ F(y)mw(dY)= F(x) for almost all x e C[0,T]. PROOF. For x e C[0,T] let G(x) denote the indefinite Wiener integral [ F(y)mw(dY G(x) y_<x Ix(Y where is the indicator function 1 0 Ix(Y) Then using (1.7), (2.4), (2.2), (1.3), G() Ey[Ix(Y)F(Y)] y(t) _< x(t) for all e [0,W] otherwise. (2.2) and the Fubini theorem, we obtain E(G(u)[Xr(u)= ) Eu(Ey[Iu(Y)F(y)]lX(u ) Eu[Ey[Iu_[ul + 1 (y) F(y)I] Eu[ nEy(Iu-[u]+](Y)F(y)’Xr(y) )Pxr(d) nEu[Ey[Iu_[u] +[] But Iu_[u]+](y-[y]+ff] (y-[y] + ])F(y-[y] + ])]]Px is zero unless y(t)- [y](t) + for all [](t) _< u(t)- [u](t) + [](t) e [0,T]. But (2.6) implies that j for r(d) y(tj)- [y](tj) + [](tj) _< u(tj)- [u](tj) 1,...,n. Hence we can write + ](tj) (2.) FUNDAMENTAL THEOREM OF WIENER CALCULUS n () 447 1 Eu[Ey[Iu-[u]+[](Y-[Y]+[]) F(y-[y]+ ])]]K(r,)dl and so for each x E C[0,T], x(t n) dn x(t 1) I Eu[Ey[Iu-[u]+[x(r)] (y-[y]+ if]) F(y-[y]+ )]]U(r,)dl dn. Hence on c(tn) G!.x)/ll Eu[Ey[Iu_[u]+[x(r)](y-[y]+[x(t) ]) F(y-[y]+[x(r)])]]U(r,x(r)) x(r), Eu,y(iu(Y)F(y)[Xv(y Applying (1.9) to (2.7) yields (G(x)) aim I111o for almost all x in C[0,T] LI(C[0,T],mw) x(r) (2.8) x(v)) which ncludes the proof of Threm 1. COROLLARY 1. If is in _ x(r),Xr(U Eu,y(Iu(Y)F(y)lXr(Y F(x) x(r))S(r,x(r)). Xv(u {t;,...,t} {tl,...,tn} r and if F(y): f(Y(tl),...,Y(tm) then and x y_xF(y)mw(dy C[0,T]. PROOF. Using (2.7) Xr(U) F(X)Su,y(Iu(Y)lXr(Y) F(y)mw(dY) y_<x F(x)= x(r)) f(x(tl) ,. ..,x(t)) for almost all x in x(r) y_x and F(Y)mw(dY) Under the conditioning Xr(Y (2.4) we see that Eu,y(Iu(Y)F(Y)IXr(Y) x(r), F(y) becomes x(r), Xr(u x(r)). f(x(t[),...,x(t)) which equals F(x). Therefore, As x(r) F(y)mw(dY)= F(X)Eu,y(Iu(Y)lXr(Y) Xr(U) x(r)). y_<x by (1.9) for almost all x in Ilrll 0, Eu,y(Iu(Y)lXr(y Xr(u x(r)) Ix(X C[0,T]. Thus Corollary 1 is established. COROLLARY 2. Let F(x) r" {t,’",t} f(x(tl),...,x(t)) be in Ll(C[0,Wl,mw). be any partition of Then .xF(X) [0,W], 0. and let C. PARK, D. SKOUG AND L. SMOLOWITZ 448 PROOF. Let r be a partition of [0,T] properly containing .x(r) F(x) Thus (x(r)) E(Fly)lXr(Y 0, and so xF(X) x(r))= Then r’. f(x(t),...,x(t)). 0. LEBESGUE AND WIENER ABSOLUTE CONTINUITY. 3. In this section we show that certain functions defined on C[0,T] are equal to the indefinite integral of their Wiener derivative. For V(,I,k) (al,...,an) and I (bl,...,bn) IR n with a < be the collection of all points of the form a or b and exactly k of the v are a ’s. k in 1,...,n, let bi, (Vl,...,Vn) where each v is either For any function f defined on V(,t,k) for 0,1,...,n, let n A ,I f A function of n variables f(l) + E (-1) k E f() k=l eV(,,k) (3.1) f(ul,...,Un) the sense of Vitali (see is said to be Lebesgue absolutely continuous in Clarkson and Adams [6,7] and Hobson [8]) on the region f [Rn if, given e > 0, there is a a (a > 0 such that if k i=l N y" k=l [Ag(k),(k)f[ (k) < ’ where mL(. (a{k),...,a(nk)). A function 1,2,... are disjoint < a for any N, then k=l denotes n-dimensional Lebesgue measure, and n-dimensional rectangles contained in 2 with N . k g mL(Ik) f(ul,...,Un)is said to be Lebesgue absolutely (in the sense of Hardy-Krause; see Berkson and Gillespie [9], and Clarkson and Adams [6,7]) on a region f c IRn if for each k 1,...,n-l, whenever n-k variables are continuous fixed then f, as a function of its remaining k variables, is Lebesgue absolutely continuous in the sense of Vitali on f R k. When we merely state "Lebesgue absolutely continuous", it is always meant in the sense of Hardy-Krause. It is well known that if n Vitali on R on R. [ai,bi], i=l Furthermore I then f(ul,...,Un) is Lebesgue absolutely continuous in the sense of 0nf(ul,...,Un)/0Ul.--0Un exists a.e. on R and is integrable [0nf(ul,...,Un)/0Ul...0Un]dUl...dun A 10nf(ul,...,Un)/0Ul...0UnldUl...dUn Var(f,R) R ,f f, (3.2) and R where Var(f,R) denotes the total variation of f over R. (3.3) FUNDAMENTAL THEOREM OF WIENER CALCULUS 449 Let G(x) be any Wiener integrable function on C[0,T]. Then, by definition, G() E(GIXr)() is a function of which is integrable with respect to PX (d)= K(r,)d. T DEFINITION 2. A Wiener integrable function G(x) defined on C[0,T] is said to be Wiener absolutely continuous provided that for each s > 0 there exists a 5 > 0 such that _< a! k) < x(s!k)) _< !k), N {x e C[0,T] if the sequence k a!k) < k) _< (R) 1,...,m mw(Ik) are disjoint Wiener intervals with k=l (k)} with < 5 for any N, then N k=l The following propositions can be easily established. PROPOSITION A. If G(x) is Wiener absolutely continuous on C[0,T], then for partition r of (0,T], G() is Lebesgue absolutely continuous on 1 rl, where rl ever)’ denotes the number of points in r. LI(C[0,T],mw). PROPOSITION B. Let F I F(y)mw(dY y_<x G(x) Then the indefinite Wiener integral C[0,T]. is Wiener absolutely continuous on Our next theorem is the second half of the fundamental theorem of Wiener Calculus. THEOREM 2. Let G e (i) xG(x) (ii) G(x) (iii) If satisfy the conditions: C[0,T] and belongs absolutely continuous on C[0,T], sequence in C[0,T] such that Xk(S0) exists for almost all x e is Wiener {Xk}.kl point s o e LI(C[0,T],mw) (0,T], is a then G(Xk) to LI(C[0,T],mw), for some fixed as k . 0 as k Then J G(u) (a.4) xG(x)mw(dX) x_<u for almost all u in C[0,T]. 5(/3) > PROOF. For given s > 0 let 5 continuity of G(x), and also 0 be the value for the Wiener absolute assume that mw(S) < , [ I.xG(x)lmw(dX < /3. S Let {r (k)} be a sequence of partitions of [0,T] such that IIr(k)ll im r(k))G(x) k x( By Egoroff’s threm, there exists a set sitive integer k 0 such that if k k0, G(x) for Mmost M1 x e C c C[0,T] then with mw(C) 0 k . Then C[0,T]. > 5/2 and a C. PARK, D. SKOUG AND L. SMOLOWITZ 450 x(r(k)) G(x) xG(x) < e/3 for every Let {x Ck C Then E C[0,T]" C k, and hence [x(r(k))G(x xG(x)l < /3}, k _> k 0 f/2, and mw(Ck) >_ mw(C) > xG(X)lmw(dx)< /3 for Jcklx(r(k))G(x) mw(C _< k _> k 0 mw(C) < g/2 for k _> k 0. Next consider fixed k, k_)k 0 and let q denote the number of points in the partition r(k). Let for some x C} x(r Ek { (}l"’"}q) e q" The complements satisfy (k)) Then, K(r(k),)d mw(C) Ek K(r(k),) is bounded in Since K(r(k),)d mw(C on [R q and Ek a countable sequence of disjoint q-dimensional rectangles * t , o0 such that Ek c < 6/2, we can find q (a! ) ig)], t= 1,2,... i=1 ll It’ and Ek K(r(k),)d _< t=Z . K(r(k),)d Z t=l mw(It) < 6, t where t {xe C[0,T]" a!/) < x(s!k))5 ig) for each s!k)e r(k)} Hence C [x(r(k))G(x)[mw(dx)= /q) / &l" "Or/q d r/1" "dr/q Ek ,r/q)/O/1 Ot/q dr/l" dr/q r, , Var(G,t) where the last equality follows from (3.3). Now, Var(G,If) sup ai,Pi where the supremum is taken over all possible nets of If, and each net has total Lebesgue FUNDAMENTAL THEOREM OF WIENER CALCULUS 451 measure equal to that of g, and so the corresponding Wiener intervals have total measure equal to mw(I). E Since t=1 mw(It) < (/3), by the Wiener absolute continuity of G, we have N A_ G()I =1 < s/3 for every N and every net. ai’Pi Thus, by taking the supremum over all nets, we get N E Var(G,If) <_ s/3 for every N, =1 . and hence _< /3. x(r(k))G(x)lmw(dx Thus, for every k >_ k0, i[0,W]l x(r(k))G(x) ik x(r(k)) G(x) + < xG(x)Imw(dX) "xG(x) Imw(dX) I ’%(r(k))G(x)lmw(dx) + [’xG(x)lmw(dx) E In particular ]-..(r(k))G(x)- xG(x)lmw(dX [-] where < for k _> k0, corresponds to r(k). Hence k(R)aim[![x]_[u] %(r(k))G(x)mw(dx)[x]![u] .@xG(x)mw(dx) Since {x e C[0,T] Ix] _< [u]} {x e C[0,T] x _< u} as k (R), 0. an application of the dominated convergence theorem yields ]![_ aim xG(x)mw(dx "@xG(x)mw(dx) x_<u Thus, m ! %( r(k)) G (X)mw(dx) "xG(x)mw(dX) x_<u On the other hand, using (2.3), (3.2) and (3.1), we see that for any a e C[0,T] with a<u, 452 C. PARK, D. SKOUG AND L. SMOLOWITZ "x(r(k))G(x)mw(dx) a(r(k)) <_x(Jk) <_u( r (k) x(r(kllG(x)mw dx) u(sk)) u(sl k)) I I a(sk)) a(s k)) Aa(r(k)),u(r(k) a(s k)) s k for every v E (R) -oo as k (3.6) G (u(Jk))) + t?=1 (<) If we let q) / Or/1. 0yq]d z/1.., d r/q for z EV(a(r(k)),u(r(k)),t) 1, ..,q in Var(k),ur k)),), g >_ (3.6), then by assumption (iii), G() 1. [xl![u] x(r(k))G(x)mw(dX) Thus (3.6) reduces to G(u((k))) (3.7) In view of (1.9) and (3.5), we conclude that I xG(x)mw(dX) G(u) for almost all u in C[O,T], x_<u and so (3.4) is established. REFERENCES DOOB, J.L. Stochastic Processes, Wiley and Sons, 1965. TUCKER, H.G. 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