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

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502 J. Van Schaftingen / Journal of Functional Analysis 236 (2006) 490–516<br />

Proof. Let ϕ ∈ D#(Rn ; ΛkRn ).Ifα ∈ Λℓ−kRn , then α ∧ ϕ ∈ D#(Rn ; ΛℓRn ). Therefore<br />

<br />

<br />

<br />

<br />

uα∧ ϕdx<br />

uDℓ(Rn )α ∧ ϕL1 (Rn ) uDℓ(Rn )|α|ϕL1 (Rn ) .<br />

R n<br />

Taking the supremum over α ∈ Λ ℓ−k R n with |α| 1 <strong>le</strong>ads to the conclusion. ✷<br />

3.2. Extension theory<br />

If n 0 are in<strong>de</strong>pen<strong>de</strong>nt of u and U.<br />

R n<br />

R N−n<br />

ϕ(x,y)dy dx.<br />

cU Dk(R N ) uDk(R n ) CU Dk(R N ) ,<br />

Proof. By in<strong>du</strong>ction, it is sufficient to consi<strong>de</strong>r the case N = n + 1.<br />

First <strong>le</strong>t us estimate U Dk(R N ) . Consi<strong>de</strong>r Φ ∈ D#(R N ; Λ k R N ). It can be written as<br />

Φ = Φ0 + Φ1 ∧ ωN,<br />

where Φ0 ∈ D#(R N ; Λ k R n ) and Φ1 ∈ D#(R N ; Λ k−1 R n ). Define<br />

<br />

ϕ(x) =<br />

For m = 1, 2,<br />

and<br />

R<br />

<br />

Φ(x,t)dt, ϕ0(x) =<br />

dϕm(x) =<br />

<br />

R n<br />

n<br />

i=1<br />

R<br />

ωi ∧ ∂ϕm<br />

∂xi<br />

<br />

ϕm dx =<br />

<br />

Φ0(x, t) dt, ϕ1(x) =<br />

<br />

=<br />

<br />

Rn R<br />

R<br />

N<br />

i=1<br />

ωi ∧ ∂Φm<br />

∂xi<br />

Φm dt dx = 0.<br />

R<br />

dt = 0<br />

Φ1(x, t) dt.

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