Semilinear elliptic equations with singular coefficients Tusheng - - PowerPoint PPT Presentation

semilinear elliptic equations with singular coefficients
SMART_READER_LITE
LIVE PREVIEW

Semilinear elliptic equations with singular coefficients Tusheng - - PowerPoint PPT Presentation

Semilinear elliptic equations with singular coefficients Tusheng Zhang University of Manchester 22 March, Roscoff Tusheng Zhang Semilinear elliptic equations with singular coefficients The problem The purpose of this work is to use


slide-1
SLIDE 1

Semilinear elliptic equations with singular coefficients

Tusheng Zhang

University of Manchester

22 March, Roscoff

Tusheng Zhang Semilinear elliptic equations with singular coefficients

slide-2
SLIDE 2

The problem

The purpose of this work is to use probabilistic methods to solve the Dirichlet boundary value problem for the semilinear second

  • rder elliptic PDE of the following form:

Au(x) = −f (x, u(x), ∇u(x)), ∀ x ∈ D, u(x)|∂D = ϕ, ∀ x ∈ ∂D. (1) The operator A is given by Au = 1 2

d

  • i,j=1

∂ ∂xi (aij(x) ∂u ∂xj ) +

d

  • i=1

bi(x) ∂u ∂xi − div(ˆ bu)” + q(x)u, (2)

Tusheng Zhang Semilinear elliptic equations with singular coefficients

slide-3
SLIDE 3

The problem

where a = (ai,j(x))1≤i,j≤d : D → Rd×d (d > 2) is a measurable, symmetric matrix-valued function satisfying a uniform elliptic condition λ|ξ|2 ≤

d

  • i,j=1

aij(x)ξiξj ≤ Λ|ξ|2, ∀ ξ ∈ Rd and x ∈ D (3) and b = (b1, b2, ...bd), ˆ b = (ˆ b1, ˆ b2, ..., ˆ bd) : D → Rd and q : D → R are merely measurable functions belonging to some Lp spaces, and f (·, ·, ·) is a nonlinear function. The operator A is rigorously determined by the following quadratic form: Q(u, v) = (−Au, v) = 1 2

d

  • i,j=1
  • Rd aij(x) ∂u

∂xi ∂v ∂xj dx −

d

  • i=1
  • Rd bi(x) ∂u

∂xi v(x)dx −

d

  • i=1
  • D

ˆ bi(x)u ∂v ∂xi dx −

  • D

q(x)u(x)v(x)dx. (4)

Tusheng Zhang Semilinear elliptic equations with singular coefficients

slide-4
SLIDE 4

The problem

Let W 1,2(D) denote the usual Sobolev space of order one: W 1,2(D) = {u ∈ L2(D) : ∇u ∈ L2(D; Rd)}

Definition

We say that u ∈ W 1,2(D) is a continuous, weak solution of (1) if (i) for any φ ∈ W 1,2 (D), 1 2

d

  • i,j=1
  • D

aij(x) ∂u ∂xi ∂φ ∂xj dx−

d

  • i=1
  • D

bi(x) ∂u ∂xi φdx−

d

  • i=1
  • D

ˆ bi(x)u ∂φ ∂xi dx −

  • D

q(x)u(x)φdx =

  • D

f (x, u, ∇u)φdx, (ii) limy→x u(y) = ϕ(x), ∀ x ∈ ∂D, regular.

Tusheng Zhang Semilinear elliptic equations with singular coefficients

slide-5
SLIDE 5

Introduction

If f = 0 (i.e., the linear case ), and moreover ˆ b = 0, the solution u to problem (1) can be solved by a Feynman-Kac formula u(x) = Ex

  • exp

τD q(X(s))ds

  • ϕ(X(τD))
  • for x ∈ D,

where X(t), t ≥ 0 is the diffusion process associated with the infinitesimal generator L1 = 1 2

d

  • i,j=1

∂ ∂xi (aij(x) ∂ ∂xj ) +

d

  • i=1

bi(x) ∂ ∂xi , (5) τD is the first exit time of the diffusion process X(t), t ≥ 0 from the domain D. Very general results are obtained, for example, in a paper by Z.Q. Chen and Z. Zhao for this case. When ˆ b = 0, “div(ˆ b·)” in (2) is just a formal writing because the divergence really does not exist for the merely measurable vector field ˆ

  • b. It

should be interpreted in the distributional sense.

Tusheng Zhang Semilinear elliptic equations with singular coefficients

slide-6
SLIDE 6

Introduction

It is exactly due to the non-differentiability of ˆ b, all the previous known probabilistic methods in solving the elliptic boundary value problems could not be applied. We stress that the lower order term div(ˆ b·) can not be handled by Girsanov transform or Feynman-Kac transform either. In a recent work with Z. Q. Chen (to appear in Annals of Prob.), we show that the term ˆ b in fact can be tackled by the time-reversal of Girsanov transform from the first exit time τD from D by the symmetric diffusion X 0 associated with L0 = 1

2 d

  • i,j=1

∂ ∂xi (aij(x) ∂ ∂xj ).

Tusheng Zhang Semilinear elliptic equations with singular coefficients

slide-7
SLIDE 7

Introduction

The solution to equation (1) (when f = 0 ) is given by u(x) = E 0

x

  • ϕ(X 0(τD)) exp

τD (a−1b)(X 0(s)) · dM0(s) + τD (a−1ˆ b)(X 0(s)) · dM0(s)

  • rτD +

τD q(X 0(s))ds −1 2 τD (b − ˆ b)a−1(b − ˆ b)∗(X 0(s))ds

  • ,

(6) where M0(s) is the martingale part of the diffusion X 0, rt denotes the reverse operator.

Tusheng Zhang Semilinear elliptic equations with singular coefficients

slide-8
SLIDE 8

Introduction

Nonlinear elliptic PDEs (i.e., f = 0 in (1)) are generally very hard to solve. One can not expect explicit expressions for the solutions. However, in recent years backward stochastic differential equations (BSDEs) have been used effectively to solve certain nonlinear

  • PDEs. This was initiated by S. Peng. The general approach is to

represent the solution of the nonlinear equation (1) as the solution

  • f certain BSDEs associated with the diffusion process generated

by the linear operator A. But so far, only the cases where ˆ b = 0 and b being bounded were considered. The main difficulty for treating the general operator A in (2) with ˆ b = 0, q = 0 is that there are no associated diffusion processes anymore. The mentioned methods eased to work. Our approach is to transform the problem (1) to a similar problem for which the operator A does not have the ”bad” term ˆ b.

Tusheng Zhang Semilinear elliptic equations with singular coefficients

slide-9
SLIDE 9

Preliminaries

Introduce two diffusion processes which will be used later. Let (Ω, F, Ft, X(t), Px, x ∈ Rd) be the Feller diffusion process whose infinitesimal generator is given by L1 = 1 2

d

  • i,j=1

∂ ∂xi (aij(x) ∂ ∂xj ) +

d

  • i=1

bi(x) ∂ ∂xi , (7) where Ft is the completed, minimal admissible filtration generated by X(s), s ≥ 0. The associated non-symmetric, semi-Dirichlet form with L1 is defined by Q1(u, v) = (−L1u, v) = 1 2

d

  • i,j=1
  • Rd aij(x) ∂u

∂xi ∂v ∂xj dx −

d

  • i=1
  • Rd bi(x) ∂u

∂xi v(x)dx. (8)

Tusheng Zhang Semilinear elliptic equations with singular coefficients

slide-10
SLIDE 10

Preliminaries

The process X(t), t ≥ 0 is not a semimartingale in general. However, it is known (e.g. [FOT] and [LZ]) that the following Fukushima’s decomposition holds: X(t) = x + M(t) + N(t) Px − a.s., (9) where M(t) is a continuous square integrable martingale with < Mi, Mj >t= t ai,j(X(s))ds, (10) and N(t) is a continuous process of zero quadratic variation. Later we also write Xx(t), Mx(t) to emphasize the dependence on the initial value x.

Tusheng Zhang Semilinear elliptic equations with singular coefficients

slide-11
SLIDE 11

Preliminaries

Let M denote the space of square integrable martingales w.r.t. the filtration Ft, t ≥ 0. The following result is a martingale representation theorem, which paves the way to study the backward stochastic differential equations associated with the martingale part M.

Theorem (1)

For any L ∈ M, there exist predictable processes Hi(t), i = 1, ..., d such that Lt =

d

  • i=1

t Hi(s)dMi(s). (11)

Tusheng Zhang Semilinear elliptic equations with singular coefficients

slide-12
SLIDE 12

Preliminaries

We will denote by (Ω, F0, F0

t , X 0(t), P0 x , x ∈ Rd) the diffusion

process generated by L0 = 1 2

d

  • i,j=1

∂ ∂xi (aij(x) ∂ ∂xj ). (12) The corresponding Fukushima’s decomposition is written as X 0(t) = x + M0(t) + N0(t), t ≥ 0 For v ∈ W 1,2(Rd), the Fukushima’s decomposition for the Dirichlet process v(X 0(t)) reads as v(X 0(t)) = v(X 0(0)) + Mv(t) + Nv(t), (13) where Mv(t) = t

0 ∇v(X 0(s)) · dM0(s), Nv(t) is a continuous

process of zero energy (the zero energy part).

Tusheng Zhang Semilinear elliptic equations with singular coefficients

slide-13
SLIDE 13

BSDEs with deterministic terminal times

Let f (s, y, z, ω) : [0, T] × R × Rd × Ω → R be a given progressively measurable function. For simplicity, we omit the random parameter ω. Assume that f is continuous in y, z and satisfies (A.1) (y1 − y2)(f (s, y1, z) − f (s, y2, z)) ≤ −d1(s)|y1 − y2|2, (A.2) |f (s, y, z1) − f (s, y, z2)| ≤ d2|z1 − z2|, (A.3) |f (s, y, z)| ≤ |f (s, 0, z)| + K(1 + |y|), where d1(·) is a progressively measurable stochastic process and d2, K are constants. Let ξ ∈ L2(Ω, FT, P). Let λ be the constant defined in (3).

Tusheng Zhang Semilinear elliptic equations with singular coefficients

slide-14
SLIDE 14

BSDEs with deterministic terminal times

Theorem (2)

Assume E

  • e−

T

0 2d1(s)ds|ξ|2

  • < ∞ and

E T e−

s

0 2d1(u)du|f (s, 0, 0)|2ds

  • < ∞.

Then, there exists a unique (Ft-adapted) solution (Y , Z) to the following BSDE: Y (t) = ξ + T

t

f (s, Y (s), Z(s))ds − T

t

< Z(s), dM(s) >, (14) where Z(s) = (Z1(s), ..., Zd(s)).

Tusheng Zhang Semilinear elliptic equations with singular coefficients

slide-15
SLIDE 15

BSDEs with random terminal times

Let f (t, y, z) satisfy (A.1)-(A.3) in Section 2.1. In this subsection, set d(s) = −2d1(s) + δd2

  • 2. The following result provides existence

and uniqueness for BDEs with random terminal time. Let τ be a stopping time. Suppose ξ is Fτ-measurable.

Theorem (3)

Assume E[e

τ

0 d(s)ds|ξ|2] < ∞ and

E τ e

s

0 d(u)du|f (s, 0, 0)|2ds

  • < ∞,

(15) for some δ > 1

λ. Then, there exists a unique solution (Y , Z) to the

BSDE: Y (t) = ξ+ τ

τ∧t

f (s, Y (s), Z(s))ds− τ

τ∧t

< Z(s), dM(s) > . (16) Moreover, the solution (Y , Z) satisfies

Tusheng Zhang Semilinear elliptic equations with singular coefficients

slide-16
SLIDE 16

BSDEs with random terminal times

E τ e

s

0 d(u)duY 2(s)ds

  • < ∞,

E τ e

s

0 d(u)du|Z(s)|2ds

  • < ∞,

(17) and E

  • sup

0≤s≤τ

{e

s

0 d(u)duY 2(s)}

  • < ∞.

(18)

Tusheng Zhang Semilinear elliptic equations with singular coefficients

slide-17
SLIDE 17

A particular case

Let f (x, y, z) : Rd × R × Rd → R be a Borel measurable function. Assume that f is continuous in y, z and satisfies (B.1) (y1 − y2)(f (x, y1, z) − f (x, y2, z)) ≤ −c1(x)|y1 − y2|2 (B.2) |f (x, y, z1) − f (x, y, z2)| ≤ c2|z1 − z2|. (B.3) |f (x, y, z)| ≤ |f (x, 0, z)| + K(1 + |y|). Let D be a bounded regular domain. Define τx = inf{t ≥ 0 : Xx(t) ∈ D} (19) Given g ∈ Cb(Rd). Consider for each x ∈ D the following BSDE: Yx(t) = g(Xx(τx)) + τx

t∧τx

f (Xx(s), Yx(s), Zx(s))ds − τx

t∧τx

< Zx(s), dMx(s) >, (20)

Tusheng Zhang Semilinear elliptic equations with singular coefficients

slide-18
SLIDE 18

A particular case

where Mx(s) is the martingale part of Xx(s). As a consequence of Theorem 3, we have

Theorem (4)

Suppose Ex[exp( τx

  • −2c1(X(s)) + δc2

2

  • ds)] < ∞,

for some δ > 1

λ and

Ex[ τx |f (X(s), 0, 0)|2ds] < ∞. The BSDE (20) admits a unique solution (Yx(t), Zx(t)). Furthermore, sup

x∈ ¯ D

|Yx(0)| < ∞. (21)

Tusheng Zhang Semilinear elliptic equations with singular coefficients

slide-19
SLIDE 19

Linear PDEs

Consider the second order differential operator: L2 = 1 2

d

  • i,j=1

∂ ∂xi (aij(x) ∂ ∂xj ) +

d

  • i=1

bi(x) ∂ ∂xi + q(x). (22) Let D be a bounded domain with regular boundary (w. r. t. the Laplace operator. ∆) and F(x) a measurable function satisfying |F(x)| ≤ C + C|q(x)|. (23) Take ϕ ∈ C(∂D) and consider the Dirichlet boundary value problem:

  • L2u = F

in D, u = φ

  • n ∂D.

(24)

Tusheng Zhang Semilinear elliptic equations with singular coefficients

slide-20
SLIDE 20

Linear PDEs

Theorem (5)

Assume (23) and that there exists x0 ∈ D such that Ex0[exp( τD q(Xs)ds)] < ∞. Then there is a unique, continuous weak solution u to the Dirichlet boundary value problem (24) which is given by u(x) = Ex[ϕ(XτD) + τD e

t

0 q(X(s))dsF(X(t))dt].

(25)

Tusheng Zhang Semilinear elliptic equations with singular coefficients

slide-21
SLIDE 21

Semilinear PDEs

Let g(x, y, z) : Rd × R × Rd → R be a Borel measurable function that satisfies (C.1) (y1 − y2)(g(x, y1, z) − g(x, y2, z)) ≤ −k1(x)|y1 − y2|2, (C.2) |g(x, y, z1) − g(x, y, z2)| ≤ k2|z1 − z2|, (C.3) |g(x, y, z)| ≤ C + C|q(x)|. Consider the semilinear Dirichlet boundary value problem:

  • L2u = −g(x, u(x), ∇u(x))

in D, u = φ

  • n ∂D.

(26)

Tusheng Zhang Semilinear elliptic equations with singular coefficients

slide-22
SLIDE 22

Semilinear PDEs

Theorem (6)

Assume Ex[exp( τx

  • q(X(s)) − 2k1(X(s)) + δk2

2

  • ds)] < ∞,

for some δ > 1

λ and

Ex[ τx |q(X(s))|2ds] < ∞. The Dirichlet boundary value problem (26) has a unique continuous weak solution.

Tusheng Zhang Semilinear elliptic equations with singular coefficients

slide-23
SLIDE 23

Semilinear PDEs

Idea of the proof. Step 1. Set f (x, y, z) = q(x)y + g(x, y, z). According to Theorem 4, for every x ∈ D the following BSDE: Yx(t) = φ(Xx(τx)) + τx

t∧τx

f (Xx(s), Yx(s), Zx(s))ds − τx

t∧τx

< Zx(s), dMx(s) >, (27) admits a unique solution (Yx(t), Zx(t)), t ≥ 0. Put u0(x) = Yx(0) and v0(x) = Zx(0). By the strong Markov property of X and the uniqueness of the BSDE (27), it is seen that Yx(t) = u0(Xx(t)), Zx(t) = v0(Xx(t)), 0 ≤ t ≤ τx. (28) Step 2. Consider the following problem:

  • L1u = −f (x, u0(x), v0(x))

in D, u = ϕ

  • n ∂D,

(29) where L1 is defined as in Section 2.

Tusheng Zhang Semilinear elliptic equations with singular coefficients

slide-24
SLIDE 24

Semilinear PDEs

By Theorem 4.1, problem (29) has a unique continuous weak solution u(x). Step 3. We show that u(x) = u0(x) and hence u is the solution.

Tusheng Zhang Semilinear elliptic equations with singular coefficients

slide-25
SLIDE 25

Semilinear PDEs with singular coefficients

Consider the semilinear second order elliptic PDEs of the following form: Au(x) = −f (x, u(x)), ∀ x ∈ D, u(x)|∂D = ϕ, ∀ x ∈ ∂D, (30) where the operator A is given by A = 1 2

d

  • i,j=1

∂ ∂xi (aij(x) ∂ ∂xj ) +

d

  • i=1

bi(x) ∂ ∂xi − div(ˆ b·)” + q(x) Consider the following conditions: (D.1) (y1 − y2)(f (x, y1) − f (x, y2)) ≤ −J1(x)|y1 − y2|2 (D.2) |f (x, y, z)| ≤ C.

Tusheng Zhang Semilinear elliptic equations with singular coefficients

slide-26
SLIDE 26

Semilinear PDEs with singular coefficients

The following theorem is the main result:

Theorem (7)

Suppose that (D.1), (D.2) hold and E 0

x

  • exp

τD (a−1b)(X 0(s)) · dM0(s) + τD q(X 0(s))ds + τD (a−1ˆ b)(X 0(s)) · dM0(s)

  • rτD

−1 2 τD (b − ˆ b)a−1(b − ˆ b)∗(X 0(s))ds − 2 τD J1(X 0(s))ds

  • < ∞

(31)

Tusheng Zhang Semilinear elliptic equations with singular coefficients

slide-27
SLIDE 27

Semilinear PDEs with singular coefficients

for some x ∈ D, where X 0 is the diffusion generated by L0 as in Section 2. Then there exists a unique, continuous weak solution to equation (30).

Tusheng Zhang Semilinear elliptic equations with singular coefficients

slide-28
SLIDE 28

Key steps of the proof

Ideas of the proof. Step 1. Set Zt = exp t (a−1b)(X 0(s)) · dM0(s) + t q(X 0(s))ds + t (a−1ˆ b)(X 0(s)) · dM0(s)

  • rt

−1 2 t (b − ˆ b)a−1(b − ˆ b)∗(X 0(s))ds − 2 t J1(X 0(s))ds

  • (32)

Put ˆ M(t) = t (a−1ˆ b)(X 0(s)) · dM0(s) for t ≥ 0.

Tusheng Zhang Semilinear elliptic equations with singular coefficients

slide-29
SLIDE 29

Key steps of the proof

Let R > 0 so that D ⊂ BR := B(0, R). It is known from [CZ], there exits a bounded function v ∈ W 1,p (BR) ⊂ W 1,2 (BR) such that ( ˆ M(t)) ◦ rt = − ˆ M(t) + Nv(t), where Nv is the zero energy part of the Fukushima decomposition for the Dirichlet process v(X 0(t)). Furthermore, v satisfies the following equation in the distributional sense: div(a∇v) = −2div(ˆ b) in BR. (33) Note that by Sobolev embedding theorem, v ∈ C(Rd) if we extend v = 0 on Dc.

Tusheng Zhang Semilinear elliptic equations with singular coefficients

slide-30
SLIDE 30

Key steps of the proof

Thus, t (a−1ˆ b)(X 0(s)) · dM0(s)

  • rt

= − t (a−1ˆ b)(X 0(s)) · dM0(s) + Nv(t) = − t (a−1ˆ b)(X 0(s)) · dM0(s) + v(X 0(t)) − v(X 0(0)) − Mv(t) = − t (a−1ˆ b)(X 0(s)) · dM0(s) + v(X 0(t)) −v(X 0(0)) − t ∇v(X 0(s))dM0(s).

Tusheng Zhang Semilinear elliptic equations with singular coefficients

slide-31
SLIDE 31

Key steps of the proof

Hence Zt = ev(X 0(t)) ev(X 0(0)) exp t a−1(b − ˆ b − a∇v)(X 0(s)) · dM0(s) + t 1 2(b − ˆ b − a∇v)a−1(b − ˆ b − a∇v)∗

  • (X 0(s))ds

−2 t J1(X 0(s))ds + t q(X 0(s))ds + t 1 2(∇v)a(∇v)∗− < b − ˆ b, ∇v >

  • (X 0(s))ds
  • .

(34)

Tusheng Zhang Semilinear elliptic equations with singular coefficients

slide-32
SLIDE 32

Key steps of the proof

Step 2. Set h(x) = ev(x) and ˆ f (x, y) = h(x)f (x, h−1(x)y) Introduce ˆ A = 1 2

d

  • i,j=1

∂ ∂xi (aij(x) ∂ ∂xj ) +

d

  • i=1

[bi(x) − ˆ bi(x) − (a∇v)i(x)] ∂ ∂xi − < b − ˆ b, ∇v > (x) + 1 2(∇v)a(∇v)∗(x) + q(x). and consider the following nonlinear elliptic partial differential equation: ˆ Aˆ u(x) = −ˆ f (x, ˆ u(x)), ∀ x ∈ D, ˆ u(x)|∂D = h(x)v(x), ∀ x ∈ ∂D. (35)

Tusheng Zhang Semilinear elliptic equations with singular coefficients

slide-33
SLIDE 33

Key steps of the proof

Let (Ω, F, Ft, ˆ X(t), ˆ Px, x ∈ Rd) be the diffusion process whose infinitesimal generator is given by ˆ L = 1 2

d

  • i,j=1

∂ ∂xi (aij(x) ∂ ∂xj ) +

d

  • i=1

[bi(x) − ˆ bi(x) − (a∇v)i(x)] ∂ ∂xi It is known from [LZ] that ˆ Px is absolutely continuous with respect to P0

x and

d ˆ Px dP0

x

|Ft = ˆ Zt, where ˆ Zt = exp t (a−1(b − ˆ b − a∇v)(X 0(s)) · dM0(s) − t 1 2(b − ˆ b − a∇v)a−1(b − ˆ b − a∇v)∗

  • (X 0(s))ds
  • Tusheng Zhang

Semilinear elliptic equations with singular coefficients

slide-34
SLIDE 34

Key steps of the proof

In view of (34), condition (31) implies that ˆ Ex

  • exp
  • −2

τD J1(X 0(s))ds + τD q(X 0(s))ds + τD 1 2(∇v)a(∇v)∗− < b − ˆ b, ∇v >

  • (X 0(s))ds
  • < ∞,

where ˆ Ex means that the expectation is taken under ˆ

  • Px. From

Theorem 6, it follows that equation (35) admits a unique weak solution ˆ u.

Tusheng Zhang Semilinear elliptic equations with singular coefficients

slide-35
SLIDE 35

Key steps of the proof

Step 3. Set u(x) = h−1(x)ˆ u(x). We verify that u is a weak solution to equation (30) using the equation div(a∇v) = −2div(ˆ b)

Tusheng Zhang Semilinear elliptic equations with singular coefficients

slide-36
SLIDE 36

References

  • R. F. Bass, Probabilistic techniques in Analysis.

Springer-Verlag 1995.

  • V. Bally, E. Pardoux and L. Stoica, Backward stochastic

differential equations associated to a symmetric Markov

  • process. Potential Analysis 22:1 (2005) 17-60.

Z.-Q. Chen, P. J. Fitzsimmons, K. Kuwae and T.-S. Zhang, Stochastic calculus for symmetric Markov processes. Ann.

  • Probab. 36 (2008), 931-970.

Z.-Q. Chen, P. J. Fitzsimmons, K. Kuwae and T.-S. Zhang, Perturbation of symmetric Markov processes. Probab. Theor.

  • Relat. Fields 140 (2008), 239-275..

Z.-Q. Chen and T.-S. Zhang, Time reversal and boundary value problems. The Annals of Probability. To appear.

Tusheng Zhang Semilinear elliptic equations with singular coefficients

slide-37
SLIDE 37

References

Z.-Q. Chen and Z. Zhao, Diffusion processes and second order elliptic operators with singular coefficients for lower order

  • terms. Math. Ann. 302 (1995), 323-357.
  • K. L. Chung and Z. Zhao, From Brownian Motion to

Schr¨

  • dinger’s Equation. Springer-Verlag, New York, 1995.
  • R. W. R. Darling and E. Pardoux, Backward SDE with random

terminal time and applications to semilinear elliptic PDE.Annals of Probability 25:3 (2002) 1135-1159. P.J. Fitzsimmons, Even and odd continuous additive

  • functionals. In Dirichlet forms and stochastic processes

(Beijing, 1993) (eds. Z.-M, Ma, M. R¨

  • ckner and J.-A. Yan),

139–154, de Gruyter, Berlin, 1995.

  • M. Fukushima, Dirichlet Forms and Markov Processes,

North-Holland, 1980.

Tusheng Zhang Semilinear elliptic equations with singular coefficients

slide-38
SLIDE 38

References

Anis Matoussi and Lucretiu Stoica, The obstacle problem for quasilinear stochastic PDEs. Preprint 2009.

  • M. Fukushima, Y. ¯

Oshima and M. Takeda, Dirichlet Forms and Symmetric Markov Processes, de Gruyter, Berlin, 1994.

  • W. D. Gerhard, The probabilistic solution of the Dirichlet

problem for 1

2∆+ < a, ∇ > +b with singular coefficients. J.

  • Theor. Probab. 5 (1992), 503-520.
  • D. Gilbarg and N. S. Tr¨

udinger, Elliptic Partial Differential Equations of Second Order, Second Edition, Springer-Verlag 1983.

  • S. Kakutani, Two-dimensional Brownian motion and harmonic
  • functions. Proc. Imp. Acad. Tokyo 20 (1944), 706-714.

Tusheng Zhang Semilinear elliptic equations with singular coefficients

slide-39
SLIDE 39

References

  • A. Lejay, BSDE driven by Dirichlet process and semi-linear

parabolic PDE. Application to homogenization. Stochastic Processes and Their Applications 97 (2002) 1-39.

  • T. Lyons and T. -S Zhang, Convergence of non-symmetric

Dirichlet processes. Stochastics and Stochastics Reports 57 (1996) 159-167. Z.-M. Ma and M. R¨

  • ckner, Introduction to the Theory of

(Non-Symmetric) Dirichlet Forms, Springer-Verlag, Berlin, 1992.

  • S. Peng, Probabilistic interpretation for system of quasilinear

parabolic partial differential equations. Stochastic and stochastic reports, Vol. 37 (1991), pp 61-74.

  • E. Pardoux and S. Peng, Adapted solution of a backward

stochastic differential equation.Systems Control Letter 14(1990) 55-61.

Tusheng Zhang Semilinear elliptic equations with singular coefficients

slide-40
SLIDE 40

References

  • E. Pardoux and S. Peng, Backward SDEs and Quasilinear
  • PDEs. In Rozovskii, B. L. and Sowers, R.B. (Eds.), Stochastic

Partial Differential Equations and their Applications, LNCIS 186, Springer (1992). P.E. Protter, Stochastic Integration and Differential Equations, Springer (2004).

  • A. Rozkosz, Backward SDEs and Cauchy problem for

semilinear equations in divergence form. Probability Theory and Related Fields 125 (2003) 393-400.

  • N. S. Tr¨

udinger, Linear elliptic operators with measurable

  • coefficients. Ann. Scuola Norm. Sup. Pisa

27 (1973), 265-308.

Tusheng Zhang Semilinear elliptic equations with singular coefficients