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lin´ eaires et brisure de sym´ etrie

Jean Dolbeault

http://www.ceremade.dauphine.fr/∼dolbeaul Ceremade, Universit´ e Paris-Dauphine

8 d´ ecembre 2015

Nancy

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Outline

An introduction to symmetry and symmetry breaking results in weighted elliptic PDEs

Caffarelli-Kohn-Nirenberg inequalities B The symmetry issue

B The result The proof

B a change of variables and a Sobolev type inequality

B the fast diffusion flow and the nonlinear Fisher information B regularity, decay and integrations by parts

Concavity of the R´ enyi entropy powers: role of the nonlinear flow The Bakry-Emery method: curvature, linear and nonlinear flows Conclusion

In collaboration with M.J. Esteban and M. Loss

J. Dolbeault Symmetry breaking and sharp functional inequalities

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An introduction to symmetry and symmetry breaking results in

weighted elliptic PDEs

B The typical issue is the competition between a potential or a weight and a nonlinearity

J. Dolbeault Symmetry breaking and sharp functional inequalities

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The mexican hat potential

Let us consider a nonlinear Schr¨ odinger equation in presence of a radial external potential with a minimum which is not at the origin

−∆u + V (x ) u − f (u) = 0

-1.5 -1.0 -0.5 0.5 1.0 1.5

-1.0 -0.5 0.5

A one-dimensional potential V (x)

J. Dolbeault Symmetry breaking and sharp functional inequalities

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-1.0 -0.5

0.0 0.5

1.0 -1.0 -0.5

0.0 0.5

1.0

-1.0 -0.5 0.0

-1.0 -0.5 0.0 0.5 1.0

-1.0 -0.5 0.0 0.5 1.0

A two-dimensional potential V (x) with mexican hat shape

J. Dolbeault Symmetry breaking and sharp functional inequalities

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Radial solutions to −∆u + V (x) u − F 0 (u) = 0

-1 0

1

-1 0

1 0

5 10

-1.5 -1.0 -0.5 0.0 0.5 1.0 1.5

-1.5 -1.0 -0.5 0.0 0.5 1.0 1.5

... give rise to a radial density of energy x 7→ V |u| 2 + F (u)

J. Dolbeault Symmetry breaking and sharp functional inequalities

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symmetry breaking

... but in some cases minimal energy solutions

-1 0

1 -1

0 -2 1

0 2 4 6

-1.5 -1.0 -0.5 0.0 0.5 1.0 1.5

-1.5 -1.0 -0.5 0.0 0.5 1.0 1.5

... give rise to a non-radial density of energy x 7→ V |u| 2 + F (u)

J. Dolbeault Symmetry breaking and sharp functional inequalities

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Symmetry and symmetry breaking

J. Dolbeault Symmetry breaking and sharp functional inequalities

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Proving symmetry breaking

The most classical method is by perturbation of a radial solution and energy descent

... but there are other methods, like direct energy estimates

J. Dolbeault Symmetry breaking and sharp functional inequalities

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Methods for proving symmetry

Classical methods (a non exhaustive list)

Alexandrov moving planes and the result of [B. Gidas, W. Ni, L. Nirenberg (1979, 1980)]

− ∆u = f (|x|, u) in R d d ≥ 3

If f is of class C 1 , ∂f ∂r < 0, u ≥ 0 is of class C 2 and sufficiently decaying at infinity, then u is a radial function and ∂u ∂r < 0.

Reflexion with respect planes and unique continuation [O. Lopes]

Symmetrization methods: Schwarz, Steiner, etc.

A priori estimates, direct energy estimates Uniqueness or rigidity: [B. Gidas, J. Spruck], [M.-F. Bidault-V´ eron, L. V´ eron, 1991]

... probabilistic methods and carr´ e du champ methods [D. Bakry, M. Emery, 1984]

B A new method based on entropy functionals and evolution under the action of a nonlinear flow: flow interpretation, non-compact case

J. Dolbeault Symmetry breaking and sharp functional inequalities

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Caffarelli-Kohn-Nirenberg inequalities

B Nonlinear flows (fast diffusion equation) can be used as a tool for the investigation of sharp functional inequalities

J. Dolbeault Symmetry breaking and sharp functional inequalities

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Caffarelli-Kohn-Nirenberg inequalities and the symmetry breaking issue

Let D a,b := n

v ∈ L p R d , |x| −b dx

: |x| −a |∇v | ∈ L 2 R d , dx o Z

R

d

|v | p

|x| b p dx 2/p

≤ C a,b

Z

R

d

|∇v| 2

|x| 2 a dx ∀ v ∈ D a,b

hold under the conditions that a ≤ b ≤ a + 1 if d ≥ 3, a < b ≤ a + 1 if d = 2, a + 1/2 < b ≤ a + 1 if d = 1, and a < a c := (d − 2)/2

p = 2 d

d − 2 + 2 (b − a) B With

v ? (x ) =

1 + |x| ( p−2) ( a

c

−a )

p−22

and C ? a,b = k |x | −b v ? k 2 p k |x| −a ∇v ? k 2 2 do we have C a,b = C ? a,b (symmetry)

or C a,b > C ? a,b (symmetry breaking) ?

J. Dolbeault Symmetry breaking and sharp functional inequalities

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CKN: range of the parameters

Figure: d = 3 Z

R

d

|v | p

|x| b p dx 2/p

≤ C a,b

Z

R

d

|∇v| 2

|x| 2 a dx

a ≤ b ≤ a + 1 if d ≥ 3

a < b ≤ a + 1 if d = 2, a + 1/2 < b ≤ a + 1 if d = 1 and a < a c := (d − 2)/2

p = 2 d

d − 2 + 2 (b − a)

[Glaser, Martin, Grosse, Thirring (1976)]

[F. Catrina, Z.-Q. Wang (2001)]

J. Dolbeault Symmetry breaking and sharp functional inequalities

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Symmetry and symmetry breaking

J. Dolbeault Symmetry breaking and sharp functional inequalities

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Proving symmetry breaking

[F. Catrina, Z.-Q. Wang], [V. Felli, M. Schneider (2003)]

[J.D., Esteban, Loss, Tarantello, 2009] There is a curve which separates the symmetry region from the symmetry breaking region, which is parametrized by a function p 7→ a + b

J. Dolbeault Symmetry breaking and sharp functional inequalities

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Moving planes and symmetrization techniques

[Chou, Chu], [Horiuchi]

[Betta, Brock, Mercaldo, Posteraro]

+ Perturbation results: [CS Lin, ZQ Wang], [Smets, Willem], [JD, Esteban, Tarantello 2007], [J.D., Esteban, Loss, Tarantello, 2009]

J. Dolbeault Symmetry breaking and sharp functional inequalities

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Linear instability of radial minimizers:

the Felli-Schneider curve

[Catrina, Wang], [Felli, Schneider] The functional C ? a,b

Z

R

d

|∇v | 2

|x| 2 a dx − Z

R

d

|v | p

|x | b p dx 2/p

is linearly instable at v = v ?

J. Dolbeault Symmetry breaking and sharp functional inequalities

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Direct spectral estimates

[J.D., Esteban, Loss, 2011]: sharp interpolation on the sphere and a Keller-Lieb-Thirring spectral estimate on the line

J. Dolbeault Symmetry breaking and sharp functional inequalities

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Numerical results

20 40 60 80 100

10 20 30 40 50

Λ(µ) symmetric non-symmetric asymptotic

bifurcation µ α

Parametric plot of the branch of optimal functions for p = 2.8, d = 5.

Non-symmetric solutions bifurcate from symmetric ones at a bifurcation point computed by V. Felli and M. Schneider. The branch behaves for large values of Λ as predicted by F. Catrina and Z.-Q. Wang

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Other evidences

Further numerical results [J.D., Esteban, 2012] (coarse / refined / self-adaptive grids)

20 40 60 80 100 120

10 20 30 40 50 60

Formal commutation of the non-symmetric branch near the bifurcation point [J.D., Esteban, 2013]

Asymptotic energy estimates [J.D., Esteban, 2013]

J. Dolbeault Symmetry breaking and sharp functional inequalities

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Symmetry versus symmetry breaking:

the sharp result

A result based on entropies and nonlinear flows

[J.D., Esteban, Loss, 2015]: http://arxiv.org/abs/1506.03664

J. Dolbeault Symmetry breaking and sharp functional inequalities

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The symmetry result

The Felli & Schneider curve is defined by b FS (a) := d (a c − a)

2 p

(a c − a) 2 + d − 1 + a − a c

Theorem

Let d ≥ 2 and p < 2 . If either a ∈ [0, a c ) and b > 0, or a < 0 and b ≥ b FS (a), then the optimal functions for the Caffarelli-Kohn-Nirenberg inequalities are radially symmetric

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The Emden-Fowler transformation and the cylinder

B With an Emden-Fowler transformation, Caffarelli-Kohn-Nirenberg inequalities on the Euclidean space are equivalent to

Gagliardo-Nirenberg inequalities on a cylinder

v (r, ω) = r a−a

c

ϕ(s, ω) with r = |x| , s = − log r and ω = x r With this transformation, the Caffarelli-Kohn-Nirenberg inequalities can be rewritten as

k∂ s ϕk 2 L

2

(C) + k∇ ω ϕk 2 L

2

(C) + Λ kϕk 2 L

2

(C) ≥ µ(Λ) kϕk 2 L

p

(C) ∀ ϕ ∈ H 1 (C)

where Λ := (a c − a) 2 , C = R × S d−1 and the optimal constant µ(Λ) is µ(Λ) = 1

C a,b

with a = a c ± √

Λ and b = d p ± √

Λ

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Generalizations and comments

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Generalized Caffarelli-Kohn-Nirenberg inequalities (CKN)

Let 2 = ∞ if d = 1 or d = 2, 2 = 2d /(d − 2) if d ≥ 3 and define ϑ(p, d) := d (p − 2)

2 p

[Caffarelli-Kohn-Nirenberg-84] Let d ≥ 1. For any θ ∈ [ ϑ (p , d) , 1], with p = d−2+2 (b−a) 2 d , there exists a positive constant C CKN ( θ, p , a) such that

Z

R

d

|u| p

|x| b p dx

2p

≤ C CKN (θ, p, a) Z

R

d

|∇u| 2

|x| 2 a dx θ Z

R

d

|u| 2

|x| 2 ( a +1) dx 1−θ

In the radial case, with Λ = (a − a c ) 2 , the best constant when the inequality is restricted to radial functions is C CKN (θ, p, a) and

C CKN (θ, p, a) ≥ C CKN (θ, p, a) = C CKN (θ, p) Λ

p−22p

−θ C CKN (θ, p) = h

d/2

Γ(d/2)

i 2

p−1p

h (p−2)

2

2+(2 θ−1) p

i

p−22p

h 2+(2 θ−1) p

2 p θ

i θ h

4 p+2

i

6−p2p

Γ (

p−22

+

12

)

√ π Γ (

p−22

)

p−2p

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Implementing the method of Catrina-Wang / Felli-Schneider

Among functions w ∈ H 1 (C) which depend only on s, the minimum of J [w ] := R

C |∇w | 2 + 1 4 (d − 2 − 2 a) 2 |w | 2

dx−[C (θ, p, a)]

1θ

( R

C

|w|

p

dx )

p2θ

( R

C

|w|

2

dx )

1−θθ

is achieved by w (y ) :=

cosh(λ s) −

p−22

, y = (s, ω) ∈ R × S = C with λ := 1 4 (d − 2 − 2 a) (p − 2) q

p+2

2 p θ−( p−2) as a solution of λ 2 (p − 2) 2 w 00 − 4 w + 2 p |w | p−2 w = 0 Spectrum of L := −∆ + κ w p−2 + µ is given for p

1 + 4 κ/λ 2 ≥ 2 j + 1 by λ i,j = µ + i (d + i − 2) − λ 4

2

p

1 + 4 κ/λ 2 − (1 + 2 j) 2

∀ i , j ∈ N The eigenspace of L corresponding to λ 0 , 0 is generated by w The eigenfunction φ (1,0) associated to λ 1 , 0 is not radially symmetric and such that R

C w φ (1 , 0) dx = 0 and R

C w p−1 φ (1 , 0) dx = 0 If λ 1,0 < 0, optimal functions for (CKN) cannot be radially symmetric and C(θ, p, a) > C (θ, p, a)

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Parametric plot of µ 7→ (Λ θ ( µ ) , J θ ( µ )) for p = 2 . 8, d = 5, θ = 1

20 40 60 80 100

10 20 30 40 50

Λ(µ) symmetric non-symmetric asymptotic

bifurcation µ α

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Parametric plot of µ 7→ (Λ θ ( µ ) , J θ ( µ )) for p = 2 . 8, d = 5, θ = 0 . 8

Λ θ (µ) J θ (µ)

symmetric non-symmetric asymptotic

bifurcation

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Parametric plot of µ 7→ (Λ θ ( µ ) , J θ ( µ )) for p = 2 . 8, d = 5, θ = 0 . 72

Λ θ (µ) J θ (µ)

symmetric non-symmetric asymptotic

bifurcation

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Enlargement for p = 2 . 8, d = 5, θ = 0 . 95

non-symmetric symmetric

bifurcation J

θ

(µ)

Λ

θ

(µ)

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Enlargement for p = 2 . 8, d = 5, θ = 0 . 72

Λ

θ

(µ) J

θ

(µ)

symmetric

non-symmetric bifurcation

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Critical case θ = ϑ (p , d )

Jθ(µ)

bifurcation

symmetric

non-symmetric

symmetric

Λθ(µ)

KGN

KCKN(ϑ(p,d), ΛFS(p,θ),p) 1/

1/

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Parametric plot of µ 7→ (Λ θ ( µ ) , J θ ( µ )) for p = 3 . 15, d = 5, θ = 1

bifurcation J

θ

(µ)

Λ

θ

(µ)

J. Dolbeault Symmetry breaking and sharp functional inequalities

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Parametric plot of µ 7→ (Λ θ ( µ ) , J θ ( µ )) for p = 3 . 15, d = 5, θ = 0 . 95

Λ

θ

(µ) J

θ

(µ)

bifurcation

Figure: Parametric plot of µ 7→ (Λ

θ

(µ), J

θ

(µ)) for p = 3.15, d = 5, θ = 0.95

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Case p = 3 . 15, d = 5, θ = ϑ (3 . 15 , 5) ≈ 0 . 9127

bifurcation J

θ

(µ)

Λ

θ

(µ)

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Local and asymptotic criteria for θ = ϑ (p , d)

2.9 3.0 3.1 3.2 3.3

!0.10

!0.05 0.05 0.10 0.15

Local criterion: based on an expansion of the solutions near the bifurcation point, it decides whether the branch goes to the right to to the left.

Asymptotic criterion: based on the energy of the branch as Λ → +∞

and an analysis in a semi-classical regime

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The main steps of the proof

A change of variables: an equivalent inequality of Sobolev type The fast diffusion flow and the nonlinear Fisher information Proving the decay along the flow

The justification of the integration by parts: decay estimates on the cylinder

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A change of variables

With (r = |x|, ω = x/r ) ∈ R + × S d−1 , the Caffarelli-Kohn-Nirenberg inequality is

Z ∞ 0

Z

S

d−1

|v| p r d−b p dr r dω

2p

≤ C a,b Z ∞

0

Z

S

d−1

|∇v | 2 r d−2 a dr r dω Change of variables r 7→ r α , v(r , ω) = w (r α , ω)

α 1−

2p

Z ∞

0

Z

S

d−1

|w | p r

d−b pα

dr r dω

2p

≤ C a,b

Z ∞

0

Z

S

d−1

α 2 ∂w ∂r

2 + r 1

2

|∇ ω w | 2

r

d−2a−2α

+2 dr r dω Choice of α

n = d − b p

α = d − 2 a − 2

α + 2

Then p = n−2 2 n is the critical Sobolev exponent associated with n

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A Sobolev type inequality

The parameters α and n vary in the ranges 0 < α < ∞ and d < n < ∞ and the Felli-Schneider curve in the (α, n) variables is given by

α =

r d − 1

n − 1 =: α FS

With

Dw = α ∂w ∂r , 1 r ∇ ω w

, dµ := r n−1 dr dω the inequality becomes

α 1−

2p

Z

R

d

|w | p

p2

≤ C a,b

Z

R

d

|Dw | 2

Proposition

Let d ≥ 2. Optimality is achieved by radial functions and C a,b = C ? a,b if α ≤ α FS

Gagliardo-Nirenberg inequalities on general cylinders: similar

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Notations

When there is no ambiguity, we will omit the index ω and from now on write that ∇ = ∇ ω denotes the gradient with respect to the angular variable ω ∈ S d−1 and that ∆ is the Laplace-Beltrami operator on S d−1 . We define the self-adjoint operator L by

L w := − D D w = α 2 w 00 + α 2 n − 1

r w 0 + ∆ w r 2 The fundamental property of L is the fact that

Z

R

d

w 1 L w 2 d µ = − Z

R

d

Dw 1 · Dw 2 dµ ∀ w 1 , w 2 ∈ D( R d ) B Heuristics: we look for a monotonicity formula along a well chosen nonlinear flow, based on the analogy with the decay of the Fisher information along the fast diffusion flow in R d

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Fisher information

Let u

12

1n

= |w | ⇐⇒ u = |w | p , p = n−2 2n I [u] :=

Z

R

d

u |Dp| 2 dµ , p = m

1 − m u m−1 and m = 1 − 1 n Here I is the Fisher information and p is the pressure function Proposition

With Λ = 4 α 2 / (p − 2) 2 and for some explicit numerical constant κ , we have

κ µ(Λ) = inf

I[u] : kuk L

1

(R

d

,dµ ) = 1

B Optimal solutions solutions of the elliptic PDE) are (constrained) critical point of I

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The fast diffusion equation

∂u

∂t = L u m , m = 1 − 1 n Barenblatt self-similar solutions

u ? (t, r, ω) = t −n

c ? + r 2 2 (n − 1) α 2 t 2

−n

Lemma

Barenblatt solutions realize the minimum of I among radial functions:

κ µ ? (Λ) = I [u ? (t , ·)] ∀ t > 0 B Strategy:

1) prove that dt d I[u(t , ·)] ≤ 0,

2) prove that dt d I[u(t , ·)] = 0 means that u = u ? up to a time shift

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Decay of the Fisher information along the flow ?

The pressure function p = 1−m m u m−1 satisfies

∂p

∂t = 1

n p L p − |Dp| 2 Q[p] := 1

2 L |Dp| 2 − Dp · DL p K[p] :=

Z

R

d

Q[p] − 1 n (L p) 2

p 1−n

Lemma

If u solves the weighted fast diffusion equation, then d

dt I[u(t , ·)] = − 2 (n − 1) n−1 K[p]

If u is a critical point, then K[p] = 0 B Boundary terms ! Regularity !

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Proving decay (1/2)

k[p] := Q(p) − 1

n (L p) 2 = 1

2 L |Dp| 2 − Dp · D L p − 1 n (L p) 2 k M [p] := 1

2 ∆ |∇p| 2 − ∇p · ∇∆ p − n−1 1 (∆ p) 2 − (n − 2) α 2 |∇p| 2 Lemma

Let n 6= 1 be any real number, d ∈ N , d ≥ 2, and consider a function p ∈ C 3 ((0, ∞) × M), where (M, g ) is a smooth, compact Riemannian manifold. Then we have

k[p] = α 4

1 − 1

n p 00 − p 0

r − ∆ p

α 2 (n − 1) r 2 2

+ 2 α 2 1 r 2

∇p 0 − ∇p r

2

+ 1 r 4 k M [p]

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Proving decay (2/2)

Lemma

Assume that d ≥ 3, n > d and M = S d−1 . For some ζ ? > 0 we have Z

S

d−1

k M [p] p 1−n dω ≥ λ ? − (n − 2) α 2 Z

S

d−1

|∇p| 2 p 1−n dω + ζ ? (n − d)

Z

S

d−1

|∇p| 4 p 1−n

Proof based on the Bochner-Lichnerowicz-Weitzenb¨ ock formula Corollary

Let d ≥ 2 and assume that α ≤ α FS . Then for any nonnegative function u ∈ L 1 ( R d ) with I[u] < +∞ and R

R

d

u dµ = 1, we have I[u] ≥ I ?

When M = S d−1 , λ ? = (n − 2) d−1 n−1

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A perturbation argument

If u is a critical point of I under the mass constraint R

R

d

u dµ = 1, then

o(ε) = I[u + ε L u m ] − I[u] = − 2 (n − 1) n−1 ε K[p] + o (ε) because ε L u m is an admissible perturbation (formal). Indeed, we know that

Z

R

d

(u + ε L u m ) d µ = Z

R

d

u dµ = 1 but positivity of u + ε L u m is an issue: compute

0 = DI[u] · L u m = − K[p]

Regularity issues (uniform decay of various derivatives up to order 3) and boundary terms

If α ≤ α FS , then K[p] = 0 implies that u = u ?

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The justification of the integration by parts:

decay estimates on the cylinder

After then Emden-Fowler transformation, a critical point satisfies the Euler-Lagrange equation

− ∂ s 2 ϕ − ∆ ω ϕ + Λ ϕ = ϕ p−1 in C = R × M (up to a multiplication by a constant; M = S d−1 e.g.) Proposition

For all (s, ω) ∈ C, we have C 1 e

√ Λ |s| ≤ ϕ(s, ω) ≤ C 2 e

√ Λ |s|

0 (s, ω)| , |ϕ 00 (s, ω)| , |∇ϕ(s, ω)| , |∆ ϕ(s, ω)| ≤ C 2 e

√ Λ |s|

R

M |p 0 (r , ω)| 2 d v g ≤ O(1), R

M |∇p(r , ω)| 2 d v g ≤ O(r 2 ), R

M |p 00 (r, ω)| 2 d v g ≤ O (1/r 2 ) R

M

∇p 0 (r , ω) − 1 r ∇p(r , ω)

2 d v g ≤ O(1), R

M |∆p(r , ω)| 2 d v g ≤ O(1/r 2 )

B The method also applies to general cylinders C = R × M where M is a compact manifold.

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Some comments on the method

The flow interpretation is very useful to organize the computations. It unifies rigidity methods and carr´ e du champ (or Γ 2 ) techniques in a common framework which has a clear variational interpretation and opens a door for improvements

However, the proof is done at a purely variational level: we consider a critical point and test it against a special test function built on top of the solution, in order to obtain another identity involving sum of squares: each of these square has to be equal to zero, which provides additional equations and allow to identify the critical point with a known one (uniqueness result)

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In a sense, this method relates with similar estimates:

B Nehari manifolds: one tests the equation with the function u itself.

At variational level, this amounts to test the homogeneity of the energy (if any).

B Pohozaev’s method: one tests the equation with x · ∇u, which corresponds to a local dilation. At variational level, this amounts to test the energy under scalings (eventually localized) and remarkably, this is a method to produce uniqueness results [Schmitt], [Schaeffer]

B Here we test the equation with ∆u m , which has to do with convexity (displacement convexity) and produces uniqueness (rigidity) results.

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Two ingredients for the proof

B R´ enyi entropy powers and fast diffusion B Flows on the sphere

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R´enyi entropy powers and fast diffusion

B R´ enyi entropy powers, the entropy approach without rescaling:

[Savar´ e, Toscani]: scalings, nonlinearity and a concavity property inspired by information theory

B faster rates of convergence: [Carrillo, Toscani], [JD, Toscani]

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The fast diffusion equation in original variables

Consider the nonlinear diffusion equation in R d , d ≥ 1

∂u

∂t = ∆u m

with initial datum u(x, t = 0) = u 0 (x) ≥ 0 such that R

R

d

u 0 dx = 1 and R

R

d

|x| 2 u 0 dx < +∞. The large time behavior of the solutions is governed by the source-type Barenblatt solutions

U ? (t, x) := 1

κ t 1/µ d B ? x κ t 1/µ

where

µ := 2 + d (m − 1) , κ :=

2 µ m m − 1

1 /µ

and B ? is the Barenblatt profile B ? (x) :=

C ? − |x| 2 1/(m−1)

+ if m > 1 C ? + |x| 2 1/(m−1)

if m < 1

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The R´ enyi entropy power F

The entropy is defined by E :=

Z

R

d

u m dx and the Fisher information by

I :=

Z

R

d

u |∇p| 2 dx with p = m m − 1 u m−1 If u solves the fast diffusion equation, then

E 0 = (1 − m) I To compute I 0 , we will use the fact that

∂p

∂t = (m − 1) p ∆p + |∇p| 2 F := E σ with σ = µ

d (1 − m) = 1+ 2 1 − m

1

d + m − 1

= 2 d

1 1 − m −1 has a linear growth asymptotically as t → +∞

J. Dolbeault Symmetry breaking and sharp functional inequalities

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The concavity property

Theorem

[Toscani-Savar´ e] Assume that m ≥ 1 − 1 d if d > 1 and m > 0 if d = 1.

Then F(t ) is increasing, (1 − m) F 00 (t ) ≤ 0 and

t→+∞ lim 1

t F(t ) = (1 − m) σ lim

t→+∞ E σ−1 I = (1 − m) σ E σ−1 ? I ?

[Dolbeault-Toscani] The inequality

E σ−1 I ≥ E σ−1 ? I ?

is equivalent to the Gagliardo-Nirenberg inequality k∇wk θ L

2

(R

d

) kwk 1−θ L

q+1

(R

d

) ≥ C GN kw k L

2q

(R

d

)

if 1 − 1 d ≤ m < 1. Hint: u m−1 / 2 = kwk w

L2q(Rd)

, q = 2 m−1 1

J. Dolbeault Symmetry breaking and sharp functional inequalities

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The proof

Lemma

If u solves ∂u ∂t = ∆u m with d 1 ≤ m < 1, then I 0 = d

dt Z

R

d

u |∇p| 2 dx = − 2 Z

R

d

u m

kD 2 pk 2 + (m − 1) (∆p) 2 dx

kD 2 pk 2 = 1

d (∆p) 2 +

D 2 p − 1 d ∆p Id

2

1

σ (1 − m) E 2−σ (E σ ) 00 = (1 − m) ( σ − 1) Z

R

d

u |∇p| 2 dx 2

− 2 1

d + m − 1 Z

R

d

u m dx Z

R

d

u m (∆p) 2 dx

− 2 Z

R

d

u m dx Z

R

d

u m

D 2 p − 1 d ∆p Id

2

dx

J. Dolbeault Symmetry breaking and sharp functional inequalities

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Flows on the sphere

B The heat flow introduced by D. Bakry and M. Emery (carr´ e du champ method) does not cover all exponents up to the critical one [Bakry, Emery, 1984]

[Bidault-V´ eron, V´ eron, 1991], [Bakry, Ledoux, 1996]

[Demange, 2008][JD, Esteban, Loss, 2014 & 2015]

J. Dolbeault Symmetry breaking and sharp functional inequalities

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The interpolation inequalities

On the d-dimensional sphere, let us consider the interpolation inequality

k∇uk 2 L

2

(S

d

) + d

p − 2 kuk 2 L

2

(S

d

) ≥ d

p − 2 kuk 2 L

p

(S

d

) ∀ u ∈ H 1 ( S d , dµ) where the measure dµ is the uniform probability measure on S d ⊂ R d +1 corresponding to the measure induced by the Lebesgue measure on R d +1 , and the exposant p ≥ 1, p 6= 2, is such that

p ≤ 2 := 2 d d − 2

if d ≥ 3. We adopt the convention that 2 = ∞ if d = 1 or d = 2.

The case p = 2 corresponds to the logarithmic Sobolev inequality k∇uk 2 L

2

(S

d

) ≥ d

2 Z

S

d

|u| 2 log |u| 2 kuk 2 L

2

(S

d

)

!

d v g ∀ u ∈ H 1 ( S d , dµ) \ {0}

J. Dolbeault Symmetry breaking and sharp functional inequalities

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The Bakry-Emery method

Entropy functional E p [ρ] := p−2 1 h R

S

d

ρ

2p

d v g − R

S

d

ρ d v g

p2

i

if p 6= 2 E 2 [ρ] :=

Z

S

d

ρ log ρ

kρk

L1(Sd)

d v g

Fisher information functional I p [ρ] :=

Z

S

d

|∇ρ

1p

| 2 d v g

Bakry-Emery (carr´ e du champ): use the heat flow ∂ρ ∂t = ∆ ρ where ∆ denotes the Laplace-Beltrami operator on S d , and compute

d

dt E p [ρ] = − I p [ρ] and d

dt I p [ρ] ≤ − d I p [ρ]

d

dt (I p [ρ] − d E p [ρ]) ≤ 0 = ⇒ I p [ρ] ≥ d E p [ρ] with ρ = |u| p , if p ≤ 2 # := ( 2 d−1) d

2

+1

2

J. Dolbeault Symmetry breaking and sharp functional inequalities

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The evolution under the fast diffusion flow

To overcome the limitation p ≤ 2 # , one can consider a nonlinear diffusion of fast diffusion / porous medium type

∂ρ

∂t = ∆ρ m . (1)

[Demange], [JD, Esteban, Kowalczyk, Loss]: for any p ∈ [1 , 2 ] K p [ρ] := d

dt

I p [ρ] − d E p [ρ]

≤ 0 ,

1.0 1.5 2.5 3.0

0.0 0.5 1.5 2.0

(p, m) admissible region, d = 5

J. Dolbeault Symmetry breaking and sharp functional inequalities

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Sobolev’s inequality

The stereographic projection of S d ⊂ R d × R 3 (ρ φ, z) onto R d : to ρ 2 + z 2 = 1, z ∈ [−1, 1], ρ ≥ 0, φ ∈ S d−1 we associate x ∈ R d such that r = |x|, φ = |x| x

z = r 2 − 1

r 2 + 1 = 1 − 2

r 2 + 1 , ρ = 2 r r 2 + 1

and transform any function u on S d into a function v on R d using u(y ) = ρ r

d−22

v(x) = r

2

2 +1

d−22

v (x ) = (1 − z )

d−22

v(x) p = 2 , S d = 1 4 d (d − 2) | S d | 2/d : Euclidean Sobolev inequality

Z

R

d

|∇v| 2 dx ≥ S d

Z

R

d

|v |

d−22d

dx

d−2d

∀ v ∈ D 1 , 2 ( R d )

J. Dolbeault Symmetry breaking and sharp functional inequalities

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Schwarz symmetrization and the ultraspherical setting

0 , ξ 1 , . . . ξ d ) ∈ S d , ξ d = z, P d

i=0 |ξ i | 2 = 1 [Smets-Willem]

Lemma

Up to a rotation, any minimizer of Q depends only on ξ d = z

• Let dσ(θ) := (sin Z θ)

d−1

d

dθ, Z d := √

π Γ(

d 2 ) Γ( d+1 2 )

: ∀ v ∈ H 1 ([0, π], dσ)

p − 2 d

Z π 0

|v 0 (θ)| 2 dσ + Z π

0

|v (θ)| 2 dσ ≥ Z π

0

|v (θ)| p

2p

• Change of variables z = cos θ, v (θ) = f (z ) p − 2

d Z 1

−1

|f 0 | 2 ν dν d + Z 1

−1

|f | 2 d ν d ≥ Z 1

−1

|f | p dν d

2p

where ν d (z ) dz = dν d (z) := Z d −1 ν

d2

−1 dz , ν(z ) := 1 − z 2

J. Dolbeault Symmetry breaking and sharp functional inequalities

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The ultraspherical operator

With dν d = Z d −1 ν

d2

−1 dz, ν(z ) := 1 − z 2 , consider the space L 2 ((−1, 1), d ν d ) with scalar product

hf 1 , f 2 i = Z 1

−1

f 1 f 2 d ν d , kf k L

p

(S

d

) = Z 1

−1

f p d ν d

1p

The self-adjoint ultraspherical operator is

L f := (1 − z 2 ) f 00 − d z f 0 = ν f 00 + d 2 ν 0 f 0 which satisfies hf 1 , L f 2 i = − R 1

−1 f 1 0 f 2 0 ν d ν d

Proposition

Let p ∈ [1, 2) ∪ (2, 2 ], d ≥ 1. For any f ∈ H 1 ([−1, 1], d ν d ),

−hf , L f i = Z 1

−1

|f 0 | 2 ν dν d ≥ d kf k 2 L

p

(S

d

) − kf k 2 L

2

(S

d

)

p − 2

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Heat flow and the Bakry-Emery method

With g = f p , i.e. f = g α with α = 1/p

(Ineq.) −hf , L f i= −hg α , L g α i =: I[g ] ≥ d kg k 2 L

1

α (S

d

) − kg 2 α k L

1

(S

d

)

p − 2 =: F[g ] Heat flow

∂ g

∂t = L g d

dt kg k L

1

(S

d

) = 0 , d

dt kg k L

1

(S

d

) =− 2 (p−2) hf , L f i = 2 (p−2) Z 1

−1

|f 0 | 2 ν dν d

which finally gives d

dt F [g (t, ·)] = − d p − 2

d

dt kg k L

1

(S

d

) = − 2 d I[g (t , ·)]

Ineq. ⇐⇒ d

dt F[g (t , ·)] ≤ − 2 d F[g (t, ·)] ⇐ = d

dt I [g (t, ·)] ≤ − 2 d I[g (t , ·)]

J. Dolbeault Symmetry breaking and sharp functional inequalities

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The equation for g = f p can be rewritten in terms of f as

∂f

∂t = L f + (p − 1) |f 0 | 2 f ν

− 1 2

d dt

Z 1

−1

|f 0 | 2 ν d ν d = 1 2

d

dt hf , L f i = hL f , L f i+ (p−1) h |f 0 | 2 f ν, L f i

d

dt I[g (t, ·)] + 2 d I [g (t, ·)] = d dt

Z 1

−1

|f 0 | 2 ν dν d + 2 d Z 1

−1

|f 0 | 2 ν dν d

= − 2 Z 1

−1

|f 00 | 2 + (p − 1) d d + 2

|f 0 | 4

f 2 − 2 (p − 1) d − 1 d + 2

|f 0 | 2 f 00 f

ν 2 dν d

is nonpositive if

|f 00 | 2 + (p − 1) d d + 2

|f 0 | 4

f 2 − 2 (p − 1) d − 1 d + 2

|f 0 | 2 f 00 f is pointwise nonnegative, which is granted if

(p − 1) d − 1 d + 2

2

≤ (p−1) d

d + 2 ⇐⇒ p ≤ 2 d 2 + 1

(d − 1) 2 = 2 # < 2 d d − 2 = 2

J. Dolbeault Symmetry breaking and sharp functional inequalities

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... up to the critical exponent: a proof in two slides

d dz , L

u = (L u) 0 − L u 0 = −2 z u 00 − d u 0 Z 1

−1

(L u) 2 dν d = Z 1

−1

|u 00 | 2 ν 2 d ν d + d Z 1

−1

|u 0 | 2 ν dν d

Z 1

−1

(L u) |u 0 | 2

u ν dν d = d d + 2

Z 1

−1

|u 0 | 4

u 2 ν 2 dν d − 2 d − 1 d + 2

Z 1

−1

|u 0 | 2 u 00 u ν 2 dν d

On (−1 , 1), let us consider the porous medium (fast diffusion) flow u t = u 2−2 β

L u + κ |u 0 | 2 u ν

If κ = β (p − 2) + 1, the L p norm is conserved d

dt Z 1

−1

u βp dν d = β p (κ − β (p − 2) − 1) Z 1

−1

u β(p−2) |u 0 | 2 ν dν d = 0

J. Dolbeault Symmetry breaking and sharp functional inequalities

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f = u β , kf 0 k 2 L

2

(S

d

) + p−2 d

kf k 2 L

2

(S

d

) − kf k 2 L

p

(S

d

)

≥ 0 ?

A :=

Z 1

−1

|u 00 | 2 ν 2 dν d − 2 d − 1

d + 2 (κ + β − 1) Z 1

−1

u 00 |u 0 | 2 u ν 2 dν d

+

κ (β − 1) + d

d + 2 (κ + β − 1) Z 1

−1

|u 0 | 4 u 2 ν 2 dν d

A is nonnegative for some β if 8 d 2

(d + 2) 2 (p − 1) (2 − p) ≥ 0

A is a sum of squares if p ∈ (2, 2 ) for an arbitrary choice of β in a certain interval (depending on p and d)

A = Z 1

−1

u 00 − p + 2 6 − p

|u 0 | 2 u

2

ν 2 dν d ≥ 0 if p = 2 and β = 4 6 − p

J. Dolbeault Symmetry breaking and sharp functional inequalities

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The rigidity point of view

Which computation have we done ? u t = u 2−2β

L u + κ |u u

0

|

2

ν

− L u − (β − 1) |u 0 | 2

u ν + λ

p − 2 u = λ p − 2 u κ Multiply by L u and integrate

...

Z 1

−1

L u u κ d ν d = − κ Z 1

−1

u κ |u 0 | 2 u d ν d

Multiply by κ |u u

0

|

2

and integrate

... = + κ Z 1

−1

u κ |u 0 | 2 u d ν d

The two terms cancel and we are left only with the two-homogenous terms

J. Dolbeault Symmetry breaking and sharp functional inequalities

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Constraints and improvements

J. Dolbeault Symmetry breaking and sharp functional inequalities

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Integral constraints

Proposition

For any p ∈ (2, 2 # ), the inequality Z 1

−1

|f 0 | 2 ν dν d + λ

p − 2 kf k 2 2 ≥ λ p − 2 kf k 2 p

∀ f ∈ H 1 ((−1, 1), d ν d ) s.t.

Z 1

−1

z |f | p d ν d = 0 holds with

λ ≥ d + (d − 1) 2

d (d + 2) (2 # − p) (λ ? − d)

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Antipodal symmetry

With the additional restriction of antipodal symmetry, that is u(−x) = u(x) ∀ x ∈ S d

Theorem

If p ∈ (1, 2) ∪ (2, 2 ), we have Z

S

d

|∇u| 2 d v g ≥ d p − 2

1 + (d 2 − 4) (2 − p) d (d + 2) + p − 1

kuk 2 L

p

(S

d

) − kuk 2 L

2

(S

d

)

for any u ∈ H 1 ( S d , dµ) with antipodal symmetry. The limit case p = 2 corresponds to the improved logarithmic Sobolev inequality

Z

S

d

|∇u| 2 d v g ≥ d 2

(d + 3) 2 (d + 1) 2 Z

S

d

|u| 2 log |u| 2 kuk 2 L

2

(S

d

)

! d v g

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The larger picture: branches of antipodal solutions

8 9 10 11 12 13 14

8 9 10 11 12 13 14

Case d = 5, p = 3: values of the shooting parameter a as a function of λ

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The optimal constant in the antipodal framework

æ

æ æ

æ æ

1.5 2.0 2.5 3.0

6 7 8 9 10 11 12

Numerical computation of the optimal constant when d = 5 and 1 ≤ p ≤ 10/3 ≈ 3.33. The limiting value of the constant is numerically found to be equal to λ ? = 2 1−2/p d ≈ 6.59754 with d = 5 and p = 10/3

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Conclusion

B The flow interpretation is a powerful method to organize computations which are otherwise nasty

B Outcomes of the method: various improvements. We are able to deal with non-compact cases and weights but the price to pay for controlling the boundary terms is high

B A better understanding of the variational structure of the problem opens a new direction for research on constrained inequalities, but generic difficulties (non-monotone branches) have to be understood

J. Dolbeault Symmetry breaking and sharp functional inequalities

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These slides can be found at

http://www.ceremade.dauphine.fr/∼dolbeaul/Conferences/

B Lectures

Thank you for your attention !

J. Dolbeault Symmetry breaking and sharp functional inequalities

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