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(1)

Semigroup Properties

for the Second Fundamental Form

Feng-Yu Wang1

Received: April 12, 2009

Communicated by Friedrich G¨otze

Abstract. LetM be a compact Riemannian manifold with bound-ary∂MandL=δ+Zfor aC1-vector fieldZonM. Several equivalent

statements, including the gradient and Poincar´e/log-Sobolev type in-equalities of the Neumann semigroup generated by L, are presented for lower bound conditions on the curvature of L and the second fundamental form of ∂M. The main result not only generalizes the corresponding known ones on manifolds without boundary, but also clarifies the role of the second fundamental form in the analysis of the Neumann semigroup. Moreover, the L´evy-Gromov isoperimetric inequality is also studied on manifolds with boundary.

2010 Mathematics Subject Classification: 60J60, 58G32.

Keywords and Phrases: Second fundamental form, gradient estimate, Neumann semigroup, log-Sobolev inequality, Poincar´e inequality.

1 Introduction

The main purpose of this paper is to find out equivalent properties of the Neu-mann semigroup on manifolds with boundary for lower bounds of the second fundamental form of the boundary. To explain the main idea of the study, let us briefly recall some equivalent semigroup properties for curvature lower bounds on manifolds without boundary.

Let M be a connected complete Riemannian manifold without boundary and let L = ∆ +Z for some C1-vector field Z on M. Let P

t be the diffusion semigroup generated byL, which is unique and Markovian if the curvature of

Lis bounded below, namely (see [3]),

Ric− ∇Z ≥ −K (1.1)

1

(2)

holds on M for some constantK ∈R. The following is a collection of known equivalent statements for (1.1), where the first two ones on gradient estimates are classical in geometry (see e.g. [1, 5, 6, 7]), and the remainder follows from Propositions 2.1 and 2.6 in [2] (see also [9]):

(i) |∇Ptf|2≤e2KtPt|∇f|2, t≥0, f ∈Cb1(M);

(ii) |∇Ptf| ≤eKtPt|∇f|, t≥0, f∈Cb1(M);

(iii) Ptf2−(Ptf)2≤e

2Kt1

K Pt|∇f|

2, t0, f C1

b(M);

(iv) Ptf2−(Ptf)2≥

1−e−2Kt

K |∇Ptf|

2, t0, f C1

b(M);

(v) Pt(f2logf2)(P

tf2) log(Ptf2) ≤

2(e2Kt1)

K Pt|∇f|

2, t 0, f

C1

b(M);

(vi) (Ptf){Pt(flogf)−(Ptf) log(Ptf)} ≥

1−e−2Kt 2K |∇Ptf|

2, t 0, f

C1

b(M), f ≥0.

These equivalent statements for the curvature condition are crucial in the study of heat semigroups and functional inequalities on manifolds. For the case that

M has a convex boundary, these equivalences are also true forPtthe Neumann semigroup (see [10] for one more equivalent statement on Harnack inequality). The question is now can we extend this result to manifolds with non-convex boundary, and furthermore describe the second fundamental using semigroup properties?

So, from now on we assume thatM has a boundary∂M. LetN be the inward unit normal vector field on ∂M. Then the second fundamental form is a two-tensor onT ∂M, the tangent space of∂M, defined by

I(X, Y) =−h∇XN, Yi, X, Y ∈T ∂M.

IfI≥0(i.e. I(X, X)≥0 forX ∈T ∂M), then∂M (orM) is called convex. In general, we intend to study the lower bound condition ofI; namely,I≥ −σon

∂M for someσ∈R.

Forx∈M, letExbe the expectation taken for the reflectingL-diffusion process

Xtstarting fromx. So, for a bounded measurable functional Φ of X,

EΦ : x7→ExΦ

is a function onM. Moreover, letltbe the local time ofXton∂M. According to [8, Theorem 5.1], (1.1) andI≥ −σimply

(3)

To see that (1.2) is indeed equivalent to (1.1) and I≥ −σ, we shall make use of the following formula for the second fundamental form established recently by the author in [12]: for any f ∈C∞(M) satisfying the Neumann condition

N f|∂M = 0,

I(∇f,∇f) =

√ π|∇f|2

2 tlim→0

1

√ tlog

(Pt|∇f|p)1/p

|∇Ptf| (1.3) holds on∂M for anyp∈[1,∞).With help of this result and stochastic analysis on the reflecting diffusion process, we are able to prove the following main result of the paper.

Theorem 1.1. Let M be a compact Riemannian manifold with boundary and let Pt be the Neumann semigroup generated by L = ∆ +Z. Then for any constants K, σ∈R, the following statements are equivalent to each other:

(1) Ric− ∇Z≥ −K onM andI≥ −σ on∂M;

(2) (1.2) holds;

(3) |∇Ptf|2≤e2Kt(Pt|∇f|2)Ee2σlt, t≥0, f ∈C1(M);

(4) Pt(f2logf2)(P

tf2) logPtf2≤4E|∇f|2(Xt)R0te2σ(lt−lt−s)+2Ksds,

t≥0, f ∈C1(M);

(5) Ptf2−(Ptf)2≤2E|∇f|2(Xt)R0te2σ(lt−lt−s)+2Ks

ds

, t≥0, f ∈C1(M);

(6) |∇Ptf|2≤

1 2K −e−2Kt

2

Pt(flogf)−(Ptf) logPtfEf(Xt)R0te2σls−2Ksds,

t >0, f ≥0, f ∈C1(M);

(7) |∇Ptf|2 ≤ 2K

2

(1−e−2Kt)2 Ptf 2(P

tf)2ER0te2σls−2Ksds, t ≥0, f ∈

C1(M).

Theorem 1.1 can be extended to a class of non-compact manifolds with bound-ary such that the local times lt is exponentially integrable. According to [13] the later is true providedIis bounded, the sectional curvature around∂M is bounded above, the driftZ is bounded around∂M, and the injectivity radius of the boundary is positive. To avoid technical complications, here we simply consider the compact case.

(4)

Due to unboundedness of the local time which causes an essential difficulty in the study of Harnack inequality, the corresponding result for lower bound conditions of the curvature and the second fundamental form is still open. Nev-ertheless, log-Harnack and Harnack inequalities for the Neumann semigroup on non-convex manifolds have been provided by [13, Theorem 5.1] and [14, Theo-rem 4.1] respectively. Finally, as an extension to a result in [4] where manifolds without boundary is considered, the L´evy-Gromov isoperimetric inequality is derived in Section 4 for manifolds with boundary.

2 Gradient estimate LetK1, K2∈C(M) be such that

Ric− ∇Z ≥ −K1onM, I≥ −K2 on∂M. (2.1)

According to [8, Theorem 5.1] this condition implies

|∇Ptf| ≤E

|∇f|(Xt)eR0tK1(Xs)ds+

Rt

0K2(Xs)dls, t≥0, f ∈C1(M). (2.2)

The main purpose of this section is to prove that these two statements are indeed equivalent to each other. To prove that (2.2) implies (2.1), we need the following results collected from [11, Proof of Lemma 2.1] and [13, Theorem 2.1, Lemma 2.2, Proposition A.2] respectively:

(I) For anyλ >0, Eeλlt <

∞.

(II) ForX0=x∈∂M, lim supt→01t|Elt−2 p

t/π|<∞.

(III) ForX0=x∈∂M, there exists a constantc >0 such thatEl2

t ≤ct, t∈ [0,1].

(IV) Letρ be the Riemannian distance. For δ >0 and X0 = x∈ M \∂M

such thatρ(x, ∂M)≥δ, the stopping timeτδ := inf{t >0 :ρ(Xt, x)≥δ} satisfies P(τδ ≤ t) ≤ cexp[−δ2/(16t)] for some constant c > 0 and all

t >0.

Theorem 2.1. (2.1),(2.2) and the following inequality are equivalent to each other:

|∇Ptf|2≤(Pt|∇f|2)Ee2 Rt

0K1(Xs)ds+2

Rt

0K2(Xs)dls, t≥0, f ∈C1(M). (2.3)

Proof. Since by [8] (2.1) implies (2.2) which is stronger than (2.3) due to the Schwartz inequality, it remains to deduce (2.1) from (2.3).

(a) Proof of Ric− ∇Z ≥ −K1. It suffices to prove at points in the interior. Let

(5)

¯

Moreover, according to the last display in the proof of [8, Theorem 5.1] (the initial datau0∈Ox(M) was missed in the right hand side therein),

∇PtLf=u0EMtu−t1∇Lf(Xt)

,

where ut is the horizontal lift of Xt on the frame bundleO(M), and Mt is a

d×d-matrices valued right continuous process satisfyingM0 =I and (see [8, Corollary 3.6])

kMtk ≤expkK1k∞t+kK2k∞lt.

So, due to (I),|∇P·Lf|is bounded on [0,1]×M and∇PsLf → ∇Lf ass→0. Combining this with (2.6) we obtain

lim sup t→0

|∇Ptf|2(x)− |∇f|2(x)

(6)

On the other hand, applying the Itˆo formula to|∇f|2(Xt) we have

Pt|∇f|2(x) =|∇f|2(x) + Z t

0

PsL|∇f|2(x)ds+E Z t

0

N|∇f|2(Xs)dls

≤ |∇f|2(x) + Z t

0

PsL|∇f|2(x)ds+k∇|∇f|2k∞Elt.

(2.8)

Sincelt= 0 fort≤τδ, by (III) and (IV) we have

Elt≤ q

(El2

t)P(τδ≤t)≤c1e−λ/t, t∈(0,1] for some constantsc1, λ >0.So, it follows from (2.8) that

lim sup t→0

Pt|∇f|2(x)− |∇f|2(x)

t ≤L|∇f|

2(x).

Combining this with (2.5) and (2.7), we arrive at

1 2L|∇f|

2(x)− h∇f,Lfi(x)≥ −(K1(x) +ε), f C(M), N f|

∂M = 0.

According to the Bochner-Weitzenb¨ock formula, this is equivalent to (Ric− ∇Z)(x) ≥ −(K1(x) +ε). Therefore, Ric− ∇Z ≥ −K1 holds on M by the arbitrariness ofx∈M\∂M andε >0.

(b) Proof ofI≥ −K2. LetX0=x∈∂M.For anyf ∈C∞(M) with N f|∂M = 0, (2.3) implies that

|∇Ptf|2(x)≤eC1t(Pt|∇f|2(x))Ee2 Rt

0K2(Xs)dls

, (2.9)

whereC1= 2kK1k∞.Let

εt= 2 sup s∈[0,t]|

K2(Xs)−K2(x)|.

By the continuity of the reflecting diffusion process we have εt ↓ 0 as t ↓ 0. Since there existsc0>0 such that for anyr≥0 one has er1 +r+c0r3/2er, we obtain

logEe2R0tK2(Xs)dls ≤log1 + 2K2(x)El

t+E(εtlt) +C2E(l3t/2eC

2lt

) (2.10)

for some constantC2>0.Moreover, by (I) and (III) we have

E(l3t/2eC2l

t

)≤(El2t)3/4(Ee4C2l

t

)1/4≤C3t3/4, t∈(0,1]

(7)

lim sup t→0

1

√ tlog

|∇Ptf|2(x)

Pt|∇f|2(x) ≤ lim sup

t→0

2K2(x)Elt+E(εtlt)

t .

SinceEε2

t →0 ast→0 andElt2≤ctdue to (III), this and (II) imply

lim sup t→0

1

√ tlog

|∇Ptf|2(x)

Pt|∇f|2(x) ≤

4K2(x)

√ π .

Combining this with (1.3) forp= 2 we complete the proof.

3 Proof of Theorem 1.1

Applying Theorem 2.1 toK1=KandK2=σwe conclude that (1), (2) and (3) are equivalent to each other. Noting that the log-Sobolev inequality (4) implies the Poincar´e inequality (5) (see e.g. [6]), it suffices to prove that (2) ⇒ (4), (5)⇒(1), and (2)⇒(6)⇒(7)⇒(1), where “⇒” stands for “implies”. We shall complete the proof step by step.

(a) (2) ⇒ (4). By approximations we may assume that f ∈ C∞(M) with

N f|∂M = 0.In this case

d

dtPtf =LPtf =PtLf.

So, for fixedt >0 it follows from (2) that

d

dsPt−s{(Psf 2) logP

sf2}=−Pt−s|∇

Psf2|2

Psf2

≥ −4e2KsPt−s

(E[f|∇f|(Xs)eσls])2

Psf2

≥ −4e2KsPt−sE[|∇f|2(Xs)e2σls].

(3.1)

Next, by the Markov property, for Fs=σ(Xr:rs), s0,we have

Pt−s(E[|∇f|2(Xs)e2σls])(x) =ExEXt−s

[|∇f|2(Xs)e2σls

] =Ex[Ex(e2σ(lt−lt−s)

|∇f|2(Xt)|Fts)] =Ex[|∇f|2(Xt)e2σ(lt−lt−s)].

Combining this with (3.1) we obtain

d

dsPt−s{(Psf 2) logP

sf2} ≥ −4E|∇f|2(Xt)e2Ks+2σ(lt−lt−s)

, s∈(0, t).

(8)

(b1) (5) ⇒ Ric− ∇Z ≥ −K. Let X0 =x∈ M \∂M and f ∈ C∞(M) with

N f|∂M = 0. By (5) we have

Ptf2−(Ptf)2≤2E

|∇f|2(Xt)Z

t

0

e2Ks+2σ(lt−lt−s)ds

. (3.2)

Letδ >0 andτδ be as in the proof of Theorem 2.1(a). Then

E

|∇f|2(Xt) Z t

0

e2Ks+2σ(lt−lt−s)

ds

≤(Pt|∇f|2) Z t

0

e2Ksds+tk∇fk∞e2KtE[e2σlt1{τδ<t}]

≤e 2Kt1

2K Pt|∇f|

2(x) +ce−λ/t, t

∈(0,1]

holds for some constantsc, λ >0 according to (IV). Combining this with (3.2) we conclude that

Ptf2(x)−(Ptf)2(x)≤

e2Kt1

K Pt|∇f|

2(x) + 2ce−λ/t, t

∈(0,1]. (3.3)

Sincef ∈C∞(M) withN f|

∂M=0, we have

Ptf2−(Ptf)2=f2+ Z t

0

PsLf2ds−

f+ Z t

0

PsLfds 2

= Z t

0

(PsLf2−2f PsLf)ds− Z t

0

PsLfds 2

.

(3.4)

Moreover, by the continuity ofs7→PsLf, we have

Z t

0

PsLfds 2

= (Lf)2t2+◦(t2), (3.5)

where and in what follows, for a positive function (0,1] ∋t 7→ξt the notion

◦(ξt) stands for a variable such that◦(ξt)/ξt→0 ast→0; while(ξt) satisfies that (ξt)/ξtis bounded fort∈(0,1].Moreover, since

PsLf2−2f PsLf =Lf2−2f Lf+ Z s

0

(PrL2f2−2f PrL2f)dr

+E

Z s

0

(N Lf2−2f(x)N Lf)(Xr)dlr,

(9)

holds for some constantsc1, c2, λ >0, it follows from the continuity ofPs ins that

Combining this with (3.4) and (3.5) we obtain

Ptf2(x)−(Ptf)2(x) =

Combining this with (3.3) and (3.6) we arrive at

(10)

0 =h∇f,∇hN,∇fii= Hessf(N,∇f)−I(∇f,∇f),

it follows that

I(∇f,∇f) = Hessf(N,∇f) =1 2N|∇f|

2. (3.8)

So, by the Itˆo formula, (II) and (III) yield

Ps|∇f|2(x) =|∇f|2(x) + Z s

0

PrL|∇f|2(x)dr+E Z s

0

N|∇f|2(Xr)dlr

=|∇f|2(x) +(s) + 2E

Z s

0

I(∇f,∇f)(Xr)dlr

=|∇f|2(x) +4

√ s √

πI(∇f,∇f)(x) +◦(s 1/2).

(3.9)

Moreover, since (f N Lf)(Xr)−f(x)(N Lf)(Xr) is bounded and goes to zero as

r→0, it follows from (III) that

2E

Z t

0

ds

Z s

0

[(f N f)(Xr)−f(x)(N Lf)(Xr)]dlr=◦(t3/2).

So, by the Iˆo formula

2 Z t

0

[Ps(f Lf)(x)−f(x)PsLf(x)]ds

= 2 Z t

0

ds

Z s

0

[PrL(f Lf)(x)−f(x)PrL2f(x)]dr

+ 2E

Z t

0

ds

Z s

0

[(f N Lf)(Xr)−f(x)(N Lf)(Xr)]dlr=◦(t3/2).

Combining this with (3.7) and (3.9) we arrive at

lim t→0

1

t√t Ptf

2(x)(P

tf)2(x)−2t|∇f|2(x)

= √8

πI(∇f,∇f)(x) limt→0

1

t√t

Z t

0 √

sds= 16

3√πI(∇f,∇f)(x).

(3.10)

(11)

At:=

it follows from (I) and (II) that

E

Combining this with (3.11) we arrive at

At≤ ◦(1) +

So, (3.10) and (5) imply that

(12)

Therefore,I(∇f,∇f)(x)≥ −σ|∇f|2(x).

(c) (2)⇒(6). Letf ≥0 be smooth satisfying the Neumann boundary condi-tion. We have On the other hand, by (2) and applying the Schwartz inequality to the proba-bility measure 2K

1−exp[−2Kt]e

Combining this with (3.12) and noting that the Markov property implies

E[Pt−sf(Xs)e2σls] =E[(EXsf(Xt−s))e2σls] =E[e2σlsE(f(Xt)|Fs)]

=E[E(f(Xt)e2σls

|Fs)] =E[f(Xt)e2σls],

we obtain (6).

(d) (6) ⇒ (7). The proof is similar to the classical one for the log-Sobolev inequality to imply the Poincar´e inequality. Let f ∈ C∞(M). SInce M is

compact, 1 +εf >0 for smallε >0. Applying (6) to 1 +εf in place off, we

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Pt(1 +εf) log(1 +εf)−(1 +εPtf) log(1 +εPtf) =ε

Combining this with (3.6) and (7), we conclude that, at point x,

|∇Ptf|2− |∇f|2

Letting t→0 and using (2.7), we obtain

2h∇f,∇Lfi ≤K|∇f|2+h∇f,∇Lfi+1

Combining this with (2.7) we deduce at pointxthat

(14)

Therefore,I(∇f,∇f)(x)≥ −σ|∇f|2(x).

4 L´evy-Gromov isoperimetric inequality

As a dimension-free version of the classical L´evy-Gromov isoperimetric inequal-ity, it is proved in [4] that if M does not have boundary then forV ∈C2(M)

such that Ric−HessV ≥R >0 the following inequality

U(µ(f)) Z

M p

U2(f) +R−1|∇f|2dµ, (4.1)

holds for any smooth function f with values in [0,1], where µ(dx) :=

C(V)−1eV(x)dx for C(V) = R Me

V(x)dx is a probability measure on M, and

U = ϕΦ−1 for Φ(r) = (2π)−1Rr

−∞e −s2

/2ds and ϕ = Φ. Since U(0) =

U(1) = 0,taking f = 1A (by approximations) in (4.1) for a smooth domain

A⊂M, we obtain the isoperimetric inequality

RU(A)µ(∂A), (4.2) whereµ∂(∂A) is the area of∂Ainduced byµ.This inequality is crucial in the study of Gaussian type concentration ofµ(see [4, 9]). Obviously, (4.1) follows from the following semigroup inequality by lettingt→ ∞:

U(Ptf)Pt q

U2(f) +R−1(1e−2Rt)|∇f|2. (4.3)

In this section we aim to extend (4.3) to manifolds with boundary.

Now, let againM be compact with boundary∂M, and letPtbe the Neumann semigroup generated by L= ∆ +Z. We shall prove an analogue of (4.3) for the curvature and second fundamental condition in Theorem 1.1(1).

Theorem 4.1. Let Ric− ∇Z ≥ −K andI ≥ −σ for some constants K ∈ R andσ≥0.Then for any smooth functionf with values in[0,1],

U(Ptf)E r

U2(f)(Xt) +|∇f|2(Xt)(e2Kt−1)e2σl

t

K , t≥0. (4.4)

If in particular ∂M is convex(i.e. σ= 0), then

U(Ptf)Pt r

U2(f) +|∇f|2(Xt)e2Kt−1

K , t≥0.

If moreoverK <0, then(4.1) and(4.2) hold forR=−K >0.

Proof. It suffices to prove the first assertion. To this end, we shall use the following equivalent condition for Ric− ∇Z ≥ −K (see e.g. the proof of [9, (1.14)]):

Γ2(f, f) := 1

2L|∇f|

2

− h∇f,∇Lfi ≥ −K|∇f|2+|∇|∇f|

2|2

(15)

To prove (4.4), we consider the process

ηs=U2(Pt−sf)(Xs) +|∇Pt−sf|2(Xs)

(e2Ks1)e2σls

K , s∈[0, t].

To apply the Itˆo formula forηs, recall that Xssolves the equation

dXs=

2us◦dBs+N(Xs)dls,

where us is the horizontal lift of Xs and Bs is the Brownian motion on Rd providedM isd-dimensional. So,

dηs=

2D2(U U′)(Ptsf)(Xs) +(e

2Ks1)e2σls

K ∇|∇Pt−sf|

2(Xs), usdB

s E

+n2(U′2+U U′′)(Ptsf)|∇Ptsf|2+ 2Γ2(Ptsf, Ptsf)(e

2Ks

−1)e2σls

K

+ 2|∇Pt−sf|2e2Ks+2σls o

(Xs)ds

+(e

2Ks

−1)e2σls

K N|∇Pt−sf| 2+ 2σ

|∇Pt−sf|2(Xs)dls.

Noting that U U′′ = 1 and σ 0 so that e2σls

≥ 1, combining this with (3.8),I≥ −σand (4.5), we obtain

dηs≥

2D2(U U′)(Ptsf)(Xs) +(e

2Ks1)e2σls

K ∇|∇Pt−sf|

2(Xs), usdB

s E

+n2U′2(Ptsf)|∇Ptsf|2+(e

2Ks1)e2σls

|∇|∇Pt−sf|2|2 2K|∇Pt−sf|2

o (Xs)ds.

Therefore, there exists a martingaleMs fors∈[0, t] such that

dη1/2

s = dMs+ dηs 2η1s/2

2(U U′)(Ptsf)Ptsf+(e

2Ks

−1)e2σls

K ∇|∇Pt−sf|

2

2

(Xs) 4η3s/2

= dMs+ 1 4η3s/2

Bsds,

(16)

Bs:=2ηs

2U′2(Ptsf)|∇Ptsf|2+(e

2Ks

−1)e2σls

|∇|∇Pt−sf|2|2 2K|∇Pt−sf|2

(Xs)

− 2(U U

)(P

t−sf)∇Pt−sf+

e2Ks1

K e

2σls

∇|∇Pt−sf|2

2

(Xs)

≥(e

2Ks1)e2σls

K

nU2(Ptsf)|∇|∇Ptsf|2|2 2|∇Pt−sf|2

+ 4|∇Pt−sf|4U′

2

(Pt−sf)

−4(U U′)(Ptsf)h∇Ptsf,∇|∇Ptsf|2io(Xs)

≥0.

So, ηs1/2 is a sub-martingale on [0, t]. Therefore, Eη10/2 ≤ Eη 1/2

t , which is nothing but (4.4).

References

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[3] D. Bakry and M. Emery,Hypercontractivit´e de semi-groupes de diffusion, C. R. Acad. Sci. Paris. S´er. I Math. 299(1984), 775–778.

[4] D. Bakry and M. Ledoux,L´evy-Gromov’s isoperimetric inequality for an infinite dimensional diffusion operator,Invent. Math. 123(1996), 259–281.

[5] H. Donnely and P. Li, Lower bounds for the eigenvalues of Riemannian manifolds,Michigan Math. J. 29 (1982), 149–161.

[6] J.-D. Deuschel and D. W. Stroock, Large Deviations, Academic Press, New York, 1989.

[7] K. D. Elworthy,Stochastic flows on Riemannian manifolds,Diffusion Pro-cesses and Related Problems in Analysis, vol. II, Progress in Probability, 27, 37–72, Birkh¨auser, 1992.

[8] E. P. Hsu,Multiplicative functional for the heat equation on manifolds with boundary, Michigan Math. J. 50(2002), 351–367.

[9] M. Ledoux, The geometry of Markov diffusion generators, Ann. de la Facul. des Sci. de Toulouse 9 (2000), 305–366.

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[11] F.-Y. Wang,Gradient estimates and the first Neumann eigenvalue on man-ifolds with boundary,Stoch. Proc. Appl. 115(2005), 1475–1486.

[12] F.-Y. Wang, Second fundamental form and gradient of Neumann semi-groups,J. Funct. Anal. 256(2009), 3461–3469.

[13] F.-Y. Wang, Harnack inequalities on manifolds with boundary and appli-cations,to appear in J. Math. Pures Appl.

[14] F.-Y. Wang, Harnack inequality for SDE with multiplicative noise and extension to Neumann semigroup on non-convex manifolds, to appear in Annals of Probab.

Feng-Yu Wang

School of Mathematical Sci. and Lab. Math. Com. Sys., Beijing Normal University Beijing 100875

China

[email protected]

Alternate Address:

Department of Mathematics Swansea University

Singleton Park SA2 8PP UK

(18)

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