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

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D. Brydges, A. Ta<strong>la</strong>rczyk / Journal of Functional Analysis 236 (2006) 682–711 705<br />

Now assume that f ∈ H−(Λ) ∩ Cb(Λ) and b − a>4L. We will show that A ′ Lf is twice<br />

continuously differentiab<strong>le</strong> in (a + 2L,b − 2L) but does not have to be differentiab<strong>le</strong> at a + 2L.<br />

(Simi<strong>la</strong>r argument can be applied to show that the same happens at b − 2L.) Note that<br />

A ′ Lf(x)= <br />

and by (4.10) we have that for x ∈ (a + 2L,b − 2L)<br />

A ′ L f(x)=<br />

x<br />

x−2L<br />

Simi<strong>la</strong>rly as in (4.16) we obtain<br />

R<br />

2L + y − x<br />

(2L) 2<br />

f(y)dy+<br />

d<br />

dx A ′ 1<br />

Lf(x)= (2L) 2<br />

<br />

−<br />

x<br />

x−2L<br />

aL(x, y)f (y) dy<br />

<br />

x+2L<br />

x<br />

f(y)dy+<br />

2L − y + x<br />

(2L) 2<br />

f(y)dy.<br />

<br />

x+2L<br />

x<br />

<br />

f(y)dy . (4.21)<br />

C<strong>le</strong>arly, the second <strong>de</strong>rivative also exists in (a +2L,b−2L). On the other hand, if x ∈ (a, a +2L)<br />

then<br />

A ′ L f(x)=<br />

Hence for x ∈ (a, a + 2L) we have<br />

<br />

a<br />

x<br />

y − a<br />

2L(x − a) f(y)dy+<br />

a<br />

<br />

x+2L<br />

x<br />

2L − y + x<br />

(2L) 2<br />

f(y)dy.<br />

d<br />

dx A ′ 1<br />

Lf(x)= (2L) 2<br />

x<br />

x+2L <br />

2L(y − a)<br />

−<br />

f(y)dy+ f(y)dy . (4.22)<br />

(x − a) 2<br />

Letting x → a + 2L in (4.21) and (4.22) we see that <strong>le</strong>ft and right <strong>de</strong>rivatives of A ′ Lf at a + 2L<br />

are equal if and only if<br />

which is not true in general. ✷<br />

<br />

a+2L<br />

a<br />

f(y)dy=<br />

<br />

a+2L<br />

a<br />

y − a<br />

2L f(y)dy,<br />

Proposition 4.4 can be exten<strong>de</strong>d to the case when the operator −B ′ B generates a onedimensional<br />

non-<strong>de</strong>generate diffusion process. Operator AL can be written in terms of the sca<strong>le</strong><br />

function of the diffusion process.<br />

x

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