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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) 546–580 571<br />

Now <strong>le</strong>t k = j, then [Eβ,vα]=D(cj , ¯w)vα = D(vα, ¯w)cj =〈vα,w〉cj , which vanishes except<br />

when vα = w and in that case,<br />

and<br />

<br />

1<br />

[Eβ,vα]¯vα = cj ¯vα =<br />

2 ξj − 1<br />

2 ζj<br />

<br />

− D(cj , ¯cj ) ¯w,<br />

<br />

1<br />

[Eβ,vα]¯vα ≡<br />

2 ξj − 1<br />

2 ζj<br />

<br />

(η ¯w + η ′ ¯w ) + η ¯w + η ′ ¯w .<br />

1<br />

Case III. α ∈ Ψ3, with α| −<br />

t =<br />

C 2γj−1, and the root vector vα ∈ Vj−1,0. In this case, we have<br />

[Eβ,vα]¯vα = D(cj , ¯w)vα ¯vα ≡ ζD(cj , ¯w)vα − D <br />

D(cj , ¯w)vα,cj η ¯vα<br />

≡ ζD(cj , ¯w)vαη ¯vα + D <br />

cj , D(cj ,w)vα vα.<br />

However, by the commutator re<strong>la</strong>tion (JP15) in [9] we have<br />

<br />

D(w, ¯vα), D(cj , ¯cj ) = D <br />

D(w, ¯vα)cj , ¯cj − D cj , D(vα, ¯w)cj =−D cj , D(vα, ¯w)cj<br />

since D(w, ¯vα)cj = 0 by the Peirce ru<strong>le</strong> that D(w, ¯vα)cj ∈{Vj,j−1 ¯Vj−1,0Vjj }={0}, thus<br />

D <br />

cj , D(cj , ¯w)vα vα = D(cj ,cj ), D(w, ¯vα) vα = D(cj ,cj )D(w, ¯vα)vα = D(vα, ¯vα)w<br />

since D(cj ,cj )vα = 0.<br />

It is easy to see, by direct matrix computation, that,<br />

Hence, mo<strong>du</strong>lo U(gC)kC<br />

Consequently,<br />

<br />

<br />

vα∈Vj−1,0<br />

<br />

vα∈Vj−1,0<br />

[Eβ,vα]v<br />

vα∈Vj−1,0<br />

∗ α<br />

and this finishes the proof. ✷<br />

<br />

b ¯w if w = ej−1,j ,<br />

D(vα, ¯vα)w =<br />

0 ifw = ej,j−1.<br />

<br />

b(η ¯w + η<br />

D(vα, ¯vα)w ≡<br />

′ ¯w ) if w = ej−1,j ,<br />

0 if w = ej,j−1.<br />

≡ <br />

vα<br />

ζD(cj , ¯w)vαη ¯vα +<br />

<br />

b(η ¯w + η ′ ¯w ) if w = ej−1,j ,<br />

0 if w = ej,j−1

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