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Estimation optimale du gradient du semi-groupe de la chaleur sur le ...

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D. Serre / Journal of Functional Analysis 236 (2006) 409–446 443<br />

This result follows immediately from the Hil<strong>le</strong>–Yosida theorem and the following estimate.<br />

Theorem 7.2. Un<strong>de</strong>r the assumptions of Theorem 7.1, there exists two positive constants ɛ and C,<br />

such that<br />

Proof. If x1 ∈ Ω, <strong>le</strong>t us <strong>de</strong>fine<br />

W[u] ɛ∇xu 2<br />

L2 − Cu2<br />

(ω) L2 (ω) .<br />

<br />

Y[x1; u]:=<br />

R d<br />

W(x1;∇xu) dx.<br />

By rank-one convexity, there exists a positive number α(x1) such that Y[x1; u] α(x1)∇xu 2 ,<br />

where ·stands for the L 2 (R d )-norm. Since W varies smoothly with x, and since Ω is compact,<br />

we have<br />

inf<br />

x1∈Ω α(x1)>0.<br />

Likewise, Theorem 3.5 tells that if x0 is a boundary point, then W[x0; u] dominates<br />

<br />

β(x0) ∇xu 2 dx<br />

ω(x0)<br />

for some positive number β(x0). Again, continuity and compactness of the boundary imply<br />

inf<br />

x0∈∂Ω β(x0)>0.<br />

In short, there exists a number γ>0 such that for every interior point x1 or boundary point x0,<br />

there holds true<br />

Y[x1; u] γ ∇xu 2 , W[x0; u] γ ∇xu 2 ,<br />

where we employ the L2-norm, either of Rd or the half-space ω(x0), according to the context.<br />

Let the ball B = B(x1; r) be contained in Ω. Ifu∈ H 1 (Ω) has support contained in B,<br />

extension by zero yields a ũ ∈ H˙ 1 (Rd ). Then<br />

<br />

<br />

W[u]=Y[x1;ũ]+ W(x;∇xu) − W(x1;∇xu) dx.<br />

Because of smoothness, we <strong>de</strong>rive<br />

B<br />

W[u] γ ∇xu 2 − O(r)∇xu 2 .<br />

Therefore, choosing r small enough, we are certain that<br />

W[u] γ 2<br />

∇xu<br />

2

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