Divergence Theorems in Path Space Denis Bell University of North - - PDF document

divergence theorems in path space
SMART_READER_LITE
LIVE PREVIEW

Divergence Theorems in Path Space Denis Bell University of North - - PDF document

Divergence Theorems in Path Space Denis Bell University of North Florida Motivation Divergence theorem in Riemannian geometry Theorem . Let M be a closed d -dimensional Riemannian manifold. Then for any smooth function and C 1 vector field


slide-1
SLIDE 1

Divergence Theorems in Path Space

Denis Bell University of North Florida

slide-2
SLIDE 2

Motivation Divergence theorem in Riemannian geometry Theorem. Let M be a closed d-dimensional Riemannian manifold. Then for any smooth function Φ and C1 vector field Z on M, we have

Z

M Z(Φ)dx =

Z

M ΦDivZdx

DivZ is given in local co-ordinates by DivZ = 1 pdet g

d

X

i=1

∂ ∂xi (ai

q

det g) where g is the metric tensor and Pd

i=1 ai ∂ ∂xi is

a local representation of Z.

slide-3
SLIDE 3

The Laplace-Beltrami operator ∆ is defined ∆ ⌘ Divr This L-B operator and its extension to differ- ential forms - the Hodge de-Rham operator, have given rise to a vast body of theory that includes harmonic functions, spectral theory, harmonic forms, Hodge theory, and the heat kernel approach to index theory.

slide-4
SLIDE 4

One would like to generalize the divergence theorem (and hopfully the associated theory) to an infinite-dimensional setting. There is no analogue of a volume form dx for an infinite-dimensional manifold X. A natural approach is to replace dx by a mea- sure dγ defined on X. Look for vector fields Z on X having an integration by parts formula with respect to γ:

Z

X Z(Φ)dγ =

Z

X ΦDivZdγ

Say such Z is admissible (wrt γ).

slide-5
SLIDE 5

The (n-dimensional) Wiener space Let X be the space of continuous paths

n

w : [0, T] 7! Rn/ w(0) = 0

  • .

and γ the Wiener measure on X. Let H denote the Cameron-Martin space, i.e. the subspace consisting of paths in X with fi- nite energy

h 2 X

. Z T

0 |h0 t|2dt < 1

  • .
  • Theorem. Let h : X 7! H be a bounded ran-

dom adapted path. Then h is admissible and Divh =

Z T

0 h0 · dw

where the integral is the Itˆ

  • integral.

Follows from the Girsanov theorem.

slide-6
SLIDE 6

There exists another class of admissible vector fields.

  • Theorem. Let a be a continuous adapted pro-

cess taking values in so(n) (the set of n ⇥ n skew-symmetric matrices). Define Z =

Z ·

0 adw.

Then Z is admissible and DivZ = 0. Follows from the infinitessimal rotation invari- ance of the Wiener measure. The use of the result in the present context is a fundamental insight due to B. Driver. Note the previous two theorems do not require smoothness of Z (in w).

slide-7
SLIDE 7

Combining the two previous results yields:

  • Theorem. Processes of the following form are

admissible Z =

Z ·

0 adw +

Z ·

0 bds

where a is a continuous adapted so(n)-valued process and b is a continuous adapted Rn- valued process. Furthermore DivZ =

Z T

0 b · dw

We will refer to the space of such processes as the Cameron-Martin-Driver space. It constitutes the tangent bundle TX.

slide-8
SLIDE 8

. Measures induced by stochastic differential equations Let M denote a closed d-dimensional manifold and A1, . . . , An smooth vector fields on M and

  • a point in M.

Consider the (Stratonovich) SDE dxt =

n

X

i=1

Ai(xt) dwi, t 2 [0, T] x0 = o. where (w1, . . . , wn) is a Wiener process in Rn.

xt

slide-9
SLIDE 9

Let X be the space of continuous paths from [0, T] to M with initial point o, and define the measure γ on X to be the law of the process x. TxX ⌘ {V : [0, T] 7! TM/ V0 = 0, Vt 2 TxtM, 8t 2 [0, T]}. The objective is to construct a class of admis- sible vector fields on (X, γ). There are two approaches to this type of prob-

  • lem. They both rely upon lifting the problem

to the flat Wiener space, then using the diver- gence theorems in the previous section.

slide-10
SLIDE 10
  • 1. The Malliavin approach (1976)

Recall the SDE dxt =

n

X

i=1

Ai(xt) dwi, t 2 [0, T]. Malliavin studied the regularity of the law γT of

  • xT. (endpoint problem). He established results
  • f the form

Z

M Z(φ)dγT =

Z

M φDivZdγT

for smooth vector fields Z on M. The basic idea is to lift the problem to the Wiener space by the map w 7! xT. This works under very weak nondegeneracy con- ditions on x (H¨

  • rmander condition on A1, . . . , An,

and weaker).

slide-11
SLIDE 11
  • 2. The Driver approach (1991)

This method involves lifting the problem via the stochastic development (rolling) map. Produces admissible vector fields on the full path space X but requires ellipticity of the diffusion process x: the vector fields A1, . . . , An span TM at every point of M. The goal of this work is to obtain divergence theorems on the path space by the Malliavin type lifting, without the ellipticity assumption.

slide-12
SLIDE 12

Outline of the method dxt =

n

X

i=1

Ai(xt)dwi, t 2 [0, T]. Let g denote the Itˆ

  • map g : C0(Rn) 7! Co(M)

w 7! x. The idea is to construct a vector field Z on X that lifts via g to an admissible vector field r

  • n the Wiener space C0(Rn).

Lifting means that the following diagram com- mutes dg TC0(Rn) ! TCo(M) r " " Z C0(Rn) ! Co(M) g

slide-13
SLIDE 13

Let Φ be a test function in C0(M). Then E[(Z(Φ)(x)] = E

h

r(Φ g)(w)] E[Φ g(w)Divr] = E

h

Φ(x)E[Divr/x]

i

where Div denotes the divergence operator in the classical Wiener space. Thus Z is admissible with divergence given by DivZ = E[Divr/x] = E

 Z T

0 bdw

.

x

  • .

where r =

Z ·

0 adw +

Z ·

0 bds

slide-14
SLIDE 14

Digression: The endpoint problem Let gT(w) = xT and suppose Z is a C1 vector field on M. Then r is lift of Z if dgT(w)r = Z. Now it can be shown that if A1, . . . , An satisfy H¨

  • rmander’s condition, then

dgT(w) : H 7! TxT M is a.s. surjective (i.e. gT is a submersion). We choose r = dg⇤

T(dgTdg⇤ T)1Z.

The operator dgTdg⇤

T is known as the Malliavin

covariance matrix. This construction does not work on the path space level.

slide-15
SLIDE 15

We consider first the elliptic case. In this case the vector fields Ai induce a Rie- mannian metric on M, defined as follows: Let air∂/∂xr be a local representation of Ai, 1  i  n. (Note that here and in all subsequent formulas, we use the summation convention.) The metric tensor [gjk], is defined by gjk = aijaik, 1  j, k  d. Let r denote the Levi-Civita covariant deriva- tive corresponding to the metric g.

slide-16
SLIDE 16

Theorem (Lifting Theorem) Let h and r be adapted processes in Rn. Then r a lift of the vector field Zt ⌘ hi(t)Ai(xt) (1) if and only if r and h are related by the SDE hk = rk +

Z ·

0 < [Aj, Ai], Ak > (xt)hj dwi.

(2) If we choose a path h and define r by (2), then r will not generally lie in the CMD space. Alternatively, we could choose r in CMD, de- fine h as the solution to (2) and Z by (1). However, in this case Z will depend explicitly

  • n w and, since w is generically not a function
  • f x, the process h will not be well-defined as

a function of x. (w1, w2) 7! x h = h(w) 6= h(x) The answer is construct (r, Z) as a pair.

slide-17
SLIDE 17

Observe that the is problem is that the diffu- sion coefficient in the SDE hk = rk +

Z ·

0 < [Aj, Ai], Ak > (xt)hj dwi

is non-tensorial in Ai. We address this by de- composing the diffusion coefficient into a term that is a tensor in Ai and a term that is skew- symmetric in the i and k indices, then absorb- ing the skew-symmetric part into the lift. Write < [Aj, Ai], Ak >=< rAjAi, Ak > < rAiAj, Ak > =< rAjAi, Ak > < rAjAk, Ai > + < rAjAk, Ai > < rAiAj, Ak > .

slide-18
SLIDE 18

Introduce the notation Gik

j (t) =

< rAjAi, Ak > < rAjAk, Ai >

(xt) and T jk =< rAjAk, · > < r·Aj, Ak >

slide-19
SLIDE 19

Let r be a path in H (or CMD). Write (2) hk = rk +

Z ·

0 < [Aj, Ai], Ak > (xt)hj dwi

as hk = rk +

Z ·

0 Gik j hj dwi +

Z ·

0 T jk(Ai)hj dwi

= rk +

Z ·

0 Gik j hj dwi +

Z ·

0 T jk(dx)hj

(3) Let h = h(x) denote the solution to hk = rk +

Z ·

0 T jk(dx)hj

(4) and define a process ρ by ρk = rk

Z ·

0 Gik j hj dwi.

Substituting for rk in (4) we have hk = ρk +

Z ·

0 Gik j hj dwi +

Z ·

0 T jk(dx)hj

and (3) holds with r replaced by ρ. Thus Z ⌘ hiAi(x)is a vector field on Co(M), ρ is a lift of Z to C0(Rn) and ρ is admissible.

slide-20
SLIDE 20

Degenerate diffusions Again consider the diffusion process dx =

n

X

i=1

Ai(xt) dwi. Define Ex ⌘ span {A1(x), . . . , An(x)}. We allow the possibility that Ex ⇢ TxM but assume the spaces Ex have constant dimension. Define E ⌘

[

x2M

Ex. Then A1, . . . , An induce a metric < . , . > on E, as before. Define A(x) : (h1, . . . , hn) 2 Rn 7! hiAi(x) 2 Ex

slide-21
SLIDE 21

There is a metric connection r on E intro- duced by Elwothy-Le Jan-Li (Le Jan-Watanable connection) defined as follows rV W ⌘ A(x)dV (A⇤W), W 2 Γ(E), V 2 TxM where d is the standard derivative applied to the function x 2 M 7! A(x)⇤W(x) 2 Rn. Lemma. For all V 2 TxM and W 2 Ex, we have

n

X

j=1

< rV Aj, W > Aj = 0. We suppose that M is a Riemannian manifold and let ˜ r the Levi-Civita covariant derivative

  • n M.

Define T(U, V ) ⌘ ˜ rV U rV U, U 2 Ex, V 2 TxM. Note that T is a tensor in both arguments.

slide-22
SLIDE 22

Let r : Ω ⇥ [0, T] 7! Rn be an Itˆ

  • semimartin-

gale. Differentiating the original SDE in the direction r gives the following covariant equa- tion for the path η ⌘ dg(w)r ˜ Dtη = ˜ rηtAi dwi + Ai dri = rηtAj dwj + T(Ai, ηt) dwi + Ai dri(5) In view of the fact that rηtAi 2 E, we may write (5) as < rηtAj, Ai > Ai dwj + T(Ai, ηt) dwi + Ai dri and we have ˜ Dtη = T(Ai, ηt)dwi+Ai

n

dri+ < rηtAj, Ai > dwj

  • Define

Gji

V ⌘< rV Aj, Ai > < rV Ai, Aj > .

slide-23
SLIDE 23

Using the Lemma, we may then write the pre- vious equation in the form ˜ Dtη = T(dx, ηt) + Ai (dri + Gji

ηtdwj)

(6) This leads to the following result:

slide-24
SLIDE 24
  • Theorem. Let r be a path in H (n-dim C-M

space) and define η by the SDE ˜ Dtη = T(dx, ηt) + Ai ˙ ridt. Then η is an admissible vector field on Co(M).

  • Proof. Eq. (6) implies that the path

˜ ri = ri

Z ·

0 Gji η dwj

(7) is an admissible lift of η. In order to compute Div(η), it is necessary to convert the Stratonovich integral in (7) into Itˆ

  • form.
slide-25
SLIDE 25

The gradient system case Suppose M is isometrically embedded in a Eu- clidean space Rn (This is possible by the Nash embedding theorem.) Define Ai to be the orthogonal projection of the i-th standard orthonormal basis vector in Rn onto TxM. Then the process dxt =

n

X

i=1

Ai(xt) dwi defines a Brownian motion on M (i.e. x has generator 1

2∆).

We verify that in this case, our method yields Driver’s divergence theorem for the Wiener mea- sure on a Riemannian manifold (Driver, 1991), which involves Ricci curvature.

slide-26
SLIDE 26

It turns out that, in this case the L-W and the L-C coincide, so the tensor T defined earlier vanishes. There is also the symmetry relation < rV Ai, W >=< rWAi, V >, i = 1, . . . , n. This is a consequence of the fact that the cor- responding 1-forms A⇤

i are closed.

Using these facts, we obtain the following re- sult. Theorem. Let h be a Cameron-Martin path in ToM and define ηt = utht, where ut denotes stochastic parallel translation along x. Then η is admissible and the divergence of η is given by

Z T ⇣

< Aj, Dη dt > 1 2 < rAi[Aj, Ai], ηt >

dwj

slide-27
SLIDE 27

Lemma 3.9 (B. Driver) rAi[Ai, Aj] = Ric(Aj) A(LQ)Qej where L ⌘

n

X

i=1

A2

i

and Q is the orthogonal projection from Rn

  • nto the normal bundle of M.

Hence Div(η) =

Z T

< Aj, Dη dt > 1 2

Ric(Aj) A(LQ)Qej

  • , ηt > dwj

We note that the path r given by rj =

Z ·

0 < A(LQ)Q(xs)ej, ηs > ds

lies in ker dg(w). So with a little reverse engineering, we obtain

slide-28
SLIDE 28

The process ˜ r defined by ˜ rj =

Z · DDη

dt + 1 2Ric(ηt), Aj(xt)

E

dt

Z ·

0 Gij η dwi

is a lift of the vector field ηt ⌘ utht to C0(Rn). This yields Driver’s formula Div(η) =

Z T DDη

dt + 1 2Ric(ηt), Aj(xt)

E

dwj

slide-29
SLIDE 29

References Paul Malliavin, Stochastic calculus of varia- tions and hypoelliptic operators. Proceedings

  • f the International Conference on Stochastic

Differential Equations, Kyoto, 195-263. Wiley, 1976. Bruce Driver, A Cameron-Martin type quasi- invariance theorem for Brownian motion on a compact manifold.

  • J. Funct.

Anal. 109 (1992), 276-376. D.B., Divergence theorems in path space. J.

  • Funct. Anal. 218, (2005) 130-149.
  • , Divergence thorems in path space II: degen-

erate diffusions. C. R. Acad. Sci. Paris, Ser. I 342 (2006), 869-872.

  • , Divergence theorems in path space III: hy-

poelliptic diffusions and beyond. J. Funct. Anal. 251 (2007), 232-253.

slide-30
SLIDE 30

An alternative form of the lifting theorem Let Yt : ToM 7! TxtM denote the derivative of the flow of the SDE (4), i.e. Yt = dgt(o) where gt : x0 7! xt and define Zt ⌘ Y 1

t

. Let r : Ω ⇥ [0, T] 7! Rn be an Itˆ

  • semimartin-

gale. Then the process η ⌘ dg(w)r is given by ηt = Yt

Z t

0 ZsAi(xs) dri.