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

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K. Koufany, G. Zhang / Journal of Functional Analysis 236 (2006) 546–580 563<br />

Simi<strong>la</strong>rly, for X = D(eα, ¯cj ) − D(cj , ēα) ∈ k,wehave<br />

and<br />

Hence,<br />

From this we obtain<br />

Summarizing, we find on Vj,0,<br />

Xa = D(eα, ¯cj ) − D(cj , ēα) a = tj eα,<br />

X 2 <br />

a = X(tjeα) = tj D(eα, ¯cj ) − D(cj , ēα) eα =−tjcj .<br />

∂ 2<br />

4 f =<br />

∂zα∂ ¯zβ<br />

∂tj eα∂tj eαf(a)+ ∂−tj cj f(a)= 0.<br />

∂2 ∂x2 α<br />

f = 1 ∂<br />

F.<br />

tj ∂tj<br />

0 if α = β,<br />

∂ 2<br />

∂x 2 α<br />

+ ∂2<br />

∂y2 <br />

1 ∂<br />

f = 2 F if α = β.<br />

α<br />

tj ∂tj<br />

Furthermore,<br />

D (1) 2 (1) 2<br />

b(a,ā)eα, ēα = D 1 − tj eα, ēα = 1 − tj D(eα, ēα) (1) .<br />

Hence,<br />

r<br />

<br />

j=1 eα,eβ∈Vj,0<br />

=<br />

= 2<br />

r<br />

<br />

j=1 eα∈Vj,0<br />

= 2b<br />

D (1) ∂<br />

b(a,ā)eα, ēβ<br />

2<br />

∂zα∂ ¯zβ<br />

2<br />

1 − tj D(eα, ēα) (1) 2 1<br />

r 2 1 ∂F<br />

1 − tj tj ∂tj<br />

j=1<br />

<br />

eα∈Vj,0<br />

tj<br />

f(a)<br />

∂F<br />

∂tj<br />

D(eα, ēα) (1)<br />

r 2 1 ∂F<br />

1 − tj D(cj , ¯cj )<br />

tj ∂tj<br />

(1) ,<br />

j=1<br />

since we already proved in Lemma 5.1, that<br />

<br />

D(eα, ēα) (1) = bD(cj ,cj ) (1) .<br />

This finishes the proof. ✷<br />

eα∈Vj,0

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