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Nonlinear flows and entropy - entropy production methods on unbounded domains

Jean Dolbeault

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

November 2, 2016 Kaust

Conference on Novel Developments in Evolutionary Partial Differential Equations, November 1–4, 2016

Peter Markowich’s 60th birthday

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Entropy methods: the compact case Entropy methods: the non-compact case Weighted nonlinear flows and CKN inequalities

Outline

BEntropy methods in case of compact domains Interpolation inequalities on the sphere The bifurcation point of view

Neumann boundary conditions

BUnbounded domains: inequalities without weights and fast diffusion equations without weights

R´enyi entropy powers

Self-similar variables and relative entropies Equivalence of the methods ?

BUnbounded domains and weighted nonlinear flows:

Caffarelli-Kohn-Nirenberg inequalities Elliptic and parabolic proofs

Large time asymptotics and spectral gaps Optimality cases

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Entropy methods: the compact case Entropy methods: the non-compact case Weighted nonlinear flows and CKN inequalities

Interpolation inequalities on the sphere The bifurcation point of view Neumann boundary conditions

Entropy methods in case of compact domains

BInterpolation inequalities on the sphere Carr´e du champ

Can one prove Sobolev’s inequalities with a heat flow ? Some open problems: constraints and improved inequalities [Beckner, 1993],[J.D., Zhang, 2016]

[Bakry, Emery, 1984]

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

[Demange, 2008][J.D., Esteban, Loss, 2014 & 2015]

BNeumann boundary conditions [J.D., Kowalczyk]

J. Dolbeault Nonlinear flows and entropy methods

(4)

Entropy methods: the compact case Entropy methods: the non-compact case Weighted nonlinear flows and CKN inequalities

Interpolation inequalities on the sphere The bifurcation point of view Neumann boundary conditions

Interpolation inequalities on the sphere

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

k∇uk2L2(Sd)+ d

p−2kuk2L2(Sd) ≥ d

p−2kuk2Lp(Sd) ∀u∈H1(Sd,dµ) where the measuredµis the uniform probability measure on Sd⊂Rd+1 corresponding to the measure induced by the Lebesgue measure onRd+1, and the exposantp≥1, p6= 2, is such that

p≤2:= 2d d−2

ifd ≥3. We adopt the convention that2=∞ifd = 1ord= 2.

The casep= 2 corresponds to the logarithmic Sobolev inequality k∇uk2L2(Sd) ≥d

2 Z

Sd

|u|2log |u|2 kuk2L2(Sd)

!

dµ ∀u∈H1(Sd,dµ)\ {0}

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Entropy methods: the compact case Entropy methods: the non-compact case Weighted nonlinear flows and CKN inequalities

Interpolation inequalities on the sphere The bifurcation point of view Neumann boundary conditions

The Bakry-Emery method

Entropy functional Ep[ρ] := p−21 h

R

Sdρ2p dµ− R

Sdρdµ2pi

if p6= 2 E2[ρ] :=R

Sdρlog

ρ kρkL1 (Sd)

Fisher informationfunctional Ip[ρ] :=R

Sd|∇ρ1p|2

Bakry-Emery (carr´e du champ) method: use the heat flow

∂ρ

∂t = ∆ρ

and compute dtdEp[ρ] =− Ip[ρ]and dtdIp[ρ]≤ −dIp[ρ]to get d

dt(Ip[ρ]−dEp[ρ])≤0 =⇒ Ip[ρ]≥dEp[ρ]

withρ=|u|p, ifp≤2#:= (d−1)2d2+12 J. Dolbeault Nonlinear flows and entropy methods

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Entropy methods: the compact case Entropy methods: the non-compact case Weighted nonlinear flows and CKN inequalities

Interpolation inequalities on the sphere The bifurcation point of view Neumann boundary conditions

The evolution under the fast diffusion flow

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

∂ρ

∂t = ∆ρm. (1)

[Demange],[J.D., Esteban, Kowalczyk, Loss]: for anyp∈[1,2] Kp[ρ] := d

dt

Ip[ρ]−dEp[ρ]

≤0

1.0 1.5 2.5 3.0

0.0 0.5 1.5 2.0

(p,m)admissible region,d = 5

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Entropy methods: the compact case Entropy methods: the non-compact case Weighted nonlinear flows and CKN inequalities

Interpolation inequalities on the sphere The bifurcation point of view Neumann boundary conditions

Cylindrical coordinates, Schwarz symmetrization, stereographic projection...

J. Dolbeault Nonlinear flows and entropy methods

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Entropy methods: the compact case Entropy methods: the non-compact case Weighted nonlinear flows and CKN inequalities

Interpolation inequalities on the sphere The bifurcation point of view Neumann boundary conditions

... and the ultra-spherical operator

Change of variablesz = cosθ,v(θ) =f(z),dνd :=νd2−1dz/Zd, ν(z) := 1−z2

The self-adjointultrasphericaloperator is

Lf := (1−z2)f00−d z f0=νf00+d 2 ν0f0 which satisfieshf1,Lf2i=−R1

−1f10f20νdνd

Proposition

Let p∈[1,2)∪(2,2], d ≥1. For any f ∈H1([−1,1],dνd),

− hf,Lfi= Z 1

−1|f0|2ν dνd ≥dkfk2Lp(Sd)− kfk2L2(Sd)

p−2

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Entropy methods: the compact case Entropy methods: the non-compact case Weighted nonlinear flows and CKN inequalities

Interpolation inequalities on the sphere The bifurcation point of view Neumann boundary conditions

The heat equation ∂g∂t =Lg forg =fp can be rewritten in terms off

as ∂f

∂t =Lf + (p−1)|f0|2 f ν

−1 2

d dt

Z 1

−1|f0|2ν dνd =1 2

d

dt hf,Lfi=hLf,Lfi+(p−1) |f0|2

f ν,Lf

d

dtI[g(t,·)] + 2dI[g(t,·)]= d dt

Z 1

−1|f0|2νdνd+ 2d Z 1

−1|f0|2νdνd

=−2 Z 1

−1

|f00|2+ (p−1) d d+ 2

|f0|4

f2 −2 (p−1)d−1 d+ 2

|f0|2f00 f

ν2d

is nonpositive if

|f00|2+ (p−1) d d+ 2

|f0|4

f2 − 2 (p−1)d−1 d+ 2

|f0|2f00 f is pointwise nonnegative, which is granted if

(p−1)d−1 d+ 2

2

≤(p−1) d

d+ 2 ⇐⇒ p≤ 2d2+ 1

(d−1)2 = 2#< 2d d−2 = 2

J. Dolbeault Nonlinear flows and entropy methods

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Entropy methods: the compact case Entropy methods: the non-compact case Weighted nonlinear flows and CKN inequalities

Interpolation inequalities on the sphere The bifurcation point of view Neumann boundary conditions

Improved functional inequalities

The range 2#<p≤2 is covered using the adapted fast diffusion eq.

∂ρ

∂t = ∆ρm ρ=|u|βp m= 1 +2p

1 β −1

0.5 1.0 1.5 2.0 2.5 3.0 3.5 4.0

1 2 3 4 5 6

(p, β)representation of the admissible range of parameters whend= 5 [J.D., Esteban, Kowalczyk, Loss]

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Entropy methods: the compact case Entropy methods: the non-compact case Weighted nonlinear flows and CKN inequalities

Interpolation inequalities on the sphere The bifurcation point of view Neumann boundary conditions

The bifurcation point of view

µ(λ)is the optimal constant in the functional inequality

k∇uk2L2(Sd)+λkuk2L2(Sd)≥µ(λ)kuk2Lp(Sd) ∀u∈H1(Sd,dµ)

2 4 6 8 10

2 4 6 8

Here d= 3 andp= 4

J. Dolbeault Nonlinear flows and entropy methods

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Entropy methods: the compact case Entropy methods: the non-compact case Weighted nonlinear flows and CKN inequalities

Interpolation inequalities on the sphere The bifurcation point of view Neumann boundary conditions

A critical point ofu7→Qλ[u] := k∇uk2L2(Sd)+λkuk2L2(Sd)

kuk2Lp(Sd)

solves

−∆u+λu=|u|p−2u (EL) up to a multiplication by a constant (and a conformal transformation ifp= 2)

The best constantµ(λ) = inf

u∈H1(Sd,dµ)\{0}Qλ[u]is such that µ(λ)< λifλ > p−2d , and µ(λ) =λifλ≤ p−2d so that

d

p−2 = min{λ >0 : µ(λ)< λ}

Rigidity: the unique positive solution of (EL) isu=λ1/(p−2)if λ≤ p−2d

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Entropy methods: the compact case Entropy methods: the non-compact case Weighted nonlinear flows and CKN inequalities

Interpolation inequalities on the sphere The bifurcation point of view Neumann boundary conditions

Constraints and improvements

Taylor expansion:

d = inf

u∈H1(Sd,dµ)\{0}

(p−2)k∇uk2L2(Sd)

kuk2Lp(Sd)− kuk2L2(Sd)

is achieved in the limit asε→0 withu= 1 +ε ϕ1such that

−∆ϕ1=dϕ1

BThis suggest that improved inequalities can be obtained under appropriate orthogonality constraints...

J. Dolbeault Nonlinear flows and entropy methods

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Entropy methods: the compact case Entropy methods: the non-compact case Weighted nonlinear flows and CKN inequalities

Interpolation inequalities on the sphere The bifurcation point of view Neumann boundary conditions

Integral constraints

With the heat flow...

Proposition

For any p∈(2,2#), the inequality Z 1

−1|f0|2ν dνd+ λ

p−2kfk22≥ λ p−2kfk2p

∀f ∈H1((−1,1),dνd)s.t.

Z 1

−1

z|f|pd = 0 holds with

λ≥d+ (d−1)2

d(d+ 2)(2#−p) (λ?−d)

... and with a nonlinear diffusion flow ?

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Entropy methods: the compact case Entropy methods: the non-compact case Weighted nonlinear flows and CKN inequalities

Interpolation inequalities on the sphere The bifurcation point of view Neumann boundary conditions

Antipodal symmetry

With the additional restriction ofantipodal symmetry, that is

u(−x) =u(x) ∀x∈Sd

Theorem

If p∈(1,2)∪(2,2), we have Z

Sd

|∇u|2dµ≥ d p−2

1 + (d2−4) (2−p) d(d+ 2) +p−1

kuk2Lp(Sd)− kuk2L2(Sd)

for any u∈H1(Sd,dµ)with antipodal symmetry. The limit case p= 2 corresponds to the improved logarithmic Sobolev inequality

Z

Sd

|∇u|2dµ≥ d 2

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

Sd

|u|2log |u|2 kuk2L2(Sd)

! dµ

J. Dolbeault Nonlinear flows and entropy methods

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Entropy methods: the compact case Entropy methods: the non-compact case Weighted nonlinear flows and CKN inequalities

Interpolation inequalities on the sphere The bifurcation point of view Neumann boundary conditions

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 parametera as a function ofλ

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Entropy methods: the compact case Entropy methods: the non-compact case Weighted nonlinear flows and CKN inequalities

Interpolation inequalities on the sphere The bifurcation point of view Neumann boundary conditions

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 whend= 5 and 1≤p≤10/3≈3.33. The limiting value of the constant is numerically found to be equal to λ?= 21−2/pd≈6.59754with d= 5 andp= 10/3

J. Dolbeault Nonlinear flows and entropy methods

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Entropy methods: the compact case Entropy methods: the non-compact case Weighted nonlinear flows and CKN inequalities

Interpolation inequalities on the sphere The bifurcation point of view Neumann boundary conditions

Neumann boundary conditions: the Lin-Ni problem

Ωis a smooth bounded domain inRd, |Ω|= 1. With

1<p<2−1 = (d+ 2)/(d−2), let us consider the 3 problems (P1) For which values ofλ >0does the equation

−∆u+λu=up in Ω, ∂nu= 0 on ∂Ω has a unique positive solution (rigidity) ?

(P2) For which valuesλ >0 do we haveµ(λ) =λif

µ(λ) := inf

u∈H1(Ω)\{0}

k∇uk2L2(Rd)+λkuk2L2(Rd)

kuk2Lp+1(Rd)

(P3) Letq= p+1p−1 and denote byλ1(Ω,−φ)the lowest eigenvalue of the Schr¨odinger operator−∆−φ. For which values ofµ >0 do we know thatν(µ) =µif (Keller-Lieb-Thirring)

λ1(Ω,−φ)≥ −ν kφkLq(Rd)

∀φ∈ Lq+(Ω)

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Entropy methods: the compact case Entropy methods: the non-compact case Weighted nonlinear flows and CKN inequalities

Interpolation inequalities on the sphere The bifurcation point of view Neumann boundary conditions

An estimate based on the spectral gap inequality

λ1(Ω,0) = 0, λ2:=λ2(Ω,0)>0 θ?(p,d) = (d−1)2p

d(d+ 2) +p Theorem

Ωis convex and d ≥2. Ifλ < µ1, then

−∆u+λu=up in Ω, ∂nu= 0 on ∂Ω has no non-constant positive solution, whereµ1is such that

1−θ?(p,d)

|p−1| λ2≤µ1≤ λ2

|p−1| for any p∈(0,1)∪(1,2−1)

J. Dolbeault Nonlinear flows and entropy methods

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Entropy methods: the compact case Entropy methods: the non-compact case Weighted nonlinear flows and CKN inequalities

enyi entropy powers

Self-similar variables and relative entropies Equivalence of the methods ?

Unbounded domains: inequalities without weights and fast diffusion

equations

BR´enyi entropy powers

BSelf-similar variables and relative entropies BEquivalence of the methods ?

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Entropy methods: the compact case Entropy methods: the non-compact case Weighted nonlinear flows and CKN inequalities

enyi entropy powers

Self-similar variables and relative entropies Equivalence of the methods ?

R´ enyi entropy powers and fast diffusion

BR´enyi entropy powers, the entropy approach without rescaling:

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

Bfaster rates of convergence: [Carrillo, Toscani],[JD, Toscani]

J. Dolbeault Nonlinear flows and entropy methods

(22)

Entropy methods: the compact case Entropy methods: the non-compact case Weighted nonlinear flows and CKN inequalities

enyi entropy powers

Self-similar variables and relative entropies Equivalence of the methods ?

The fast diffusion equation in original variables

Consider the nonlinear diffusion equation inRd,d ≥1

∂v

∂t = ∆vm

with initial datumv(x,t = 0) =v0(x)≥0such thatR

Rdv0dx= 1 and R

Rd|x|2v0dx<+∞. The large time behavior of the solutions is governed by the source-type Barenblatt solutions

U?(t,x) := 1

κt1/µdB? x κt1/µ

where

µ:= 2 +d(m−1), κ:=

2µm m−1

1/µ

andB? is the Barenblatt profile

B?(x) :=

C?− |x|21/(m−1)

+ ifm>1 C?+|x|21/(m−1)

ifm<1

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Entropy methods: the compact case Entropy methods: the non-compact case Weighted nonlinear flows and CKN inequalities

enyi entropy powers

Self-similar variables and relative entropies Equivalence of the methods ?

The R´ enyi entropy power F

Theentropy is defined by

E :=

Z

Rd

vmdx

and theFisher informationby

I :=

Z

Rd

v|∇p|2dx with p = m m−1vm−1 Ifv solves the fast diffusion equation, then

E0 = (1−m) I To computeI0, we will use the fact that

∂p

∂t = (m−1) p ∆p +|∇p|2 F := Eσ 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 ast →+∞

J. Dolbeault Nonlinear flows and entropy methods

(24)

Entropy methods: the compact case Entropy methods: the non-compact case Weighted nonlinear flows and CKN inequalities

enyi entropy powers

Self-similar variables and relative entropies Equivalence of the methods ?

The concavity property

Theorem

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

Then F(t)is increasing,(1−m) F00(t)≤0 and

t→+∞lim 1

t F(t) = (1−m)σ lim

t→+∞Eσ−1I = (1−m)σEσ−1? I?

[Dolbeault-Toscani]The inequality

Eσ−1I≥Eσ−1? I?

is equivalent to the Gagliardo-Nirenberg inequality

k∇wkθL2(Rd)kwk1−θLq+1(Rd)≥CGNkwkL2q(Rd)

if1−1d ≤m<1. Hint: vm−1/2= kwkw

L2q(Rd),q=2m−11

(25)

Entropy methods: the compact case Entropy methods: the non-compact case Weighted nonlinear flows and CKN inequalities

enyi entropy powers

Self-similar variables and relative entropies Equivalence of the methods ?

The proof

Lemma

If v solves ∂v∂t = ∆vm with 1d ≤m<1, then I0= d

dt Z

Rd

v|∇p|2dx =−2 Z

Rd

vm

kD2pk2+ (m−1) (∆p)2 dx

Explicit arithmetic geometric inequality

kD2pk2− 1

d (∆p)2=

D2p− 1 d∆pId

2

There are no boundary terms in the integrations by parts

J. Dolbeault Nonlinear flows and entropy methods

(26)

Entropy methods: the compact case Entropy methods: the non-compact case Weighted nonlinear flows and CKN inequalities

enyi entropy powers

Self-similar variables and relative entropies Equivalence of the methods ?

Remainder terms

F00=−σ(1−m) R[v]. Thepressure variableisP = 1−mm vm−1

R[v] := (σ−1) (1−m) Eσ−1 Z

Rd

vm

∆P− R

Rdv|∇P|2dx R

Rdvmdx

2

dx

+ 2 Eσ−1 Z

Rd

vm

D2P−d1∆PId

2dx

Let

G[v] := F[v] σ(1−m) =

Z

Rd

vmdx σ−1Z

Rd

v|∇P|2dx The Gagliardo-Nirenberg inequality is equivalent toG[v0]≥G[v?] Proposition

G[v0]≥G[v?] + Z

0

R[v(t,·)]dt

(27)

Entropy methods: the compact case Entropy methods: the non-compact case Weighted nonlinear flows and CKN inequalities

enyi entropy powers

Self-similar variables and relative entropies Equivalence of the methods ?

Self-similar variables and relative entropies

The large time behavior of the solution of ∂v∂t = ∆vm is governed by the source-typeBarenblatt solutions

v?(t,x) := 1 κd(µt)d/µB?

x κ(µt)1/µ

where µ:= 2 +d(m−1) whereB?is the Barenblatt profile (with appropriate mass)

B?(x) := 1 +|x|21/(m−1) A time-dependent rescaling: self-similar variables

v(t,x) = 1 κdRd u

τ, x κR

where dR

dt =R1−µ, τ(t) := 12 log R(t)

R0

Then the functionusolvesa Fokker-Planck type equation

∂u

∂τ +∇ ·h

u ∇um−1− 2xi

= 0

J. Dolbeault Nonlinear flows and entropy methods

(28)

Entropy methods: the compact case Entropy methods: the non-compact case Weighted nonlinear flows and CKN inequalities

enyi entropy powers

Self-similar variables and relative entropies Equivalence of the methods ?

A computation on a large ball, with boundary terms

∂u

∂τ +∇ ·h

u ∇um−1− 2xi

= 0 τ >0, x ∈BR

whereBR is a centered ball in Rd with radiusR>0, and assume that usatisfies zero-flux boundary conditions

∇um−1−2x

· x

|x| = 0 τ >0, x ∈∂BR. Withz(τ,x) :=∇Q(τ,x) :=∇um−1− 2x, therelative Fisher informationis such that

d dτ

Z

BR

u|z|2dx+ 4 Z

BR

u|z|2dx

+ 21−mm Z

BR

um D2Q

2− (1−m) (∆Q)2 dx

= Z

∂BR

um ω· ∇|z|2

dσ≤0 by Grisvard’s lemma)

(29)

Entropy methods: the compact case Entropy methods: the non-compact case Weighted nonlinear flows and CKN inequalities

enyi entropy powers

Self-similar variables and relative entropies Equivalence of the methods ?

Another improvement of the GN inequalities

Let us define therelative entropy

E[u] := 1 m

Z

Rd

um− Bm? − mB?m−1(u− B?) dx

therelative Fisher information

I[u] :=

Z

Rd

u|z|2dx= Z

Rd

u

∇um−1−2x

2dx

and R[u] := 21−m m

Z

Rd

um D2Q

2− (1−m) (∆Q)2 dx

Proposition

If1−1/d≤m<1and d ≥2, then I[u0]− 4E[u0]≥

Z

0 R[u(τ,·)]dτ

J. Dolbeault Nonlinear flows and entropy methods

(30)

Entropy methods: the compact case Entropy methods: the non-compact case Weighted nonlinear flows and CKN inequalities

enyi entropy powers

Self-similar variables and relative entropies Equivalence of the methods ?

Still another improvement of the GN inequalities

We can use the computation of R´enyi entropies to estimate the decay of the relative Fisher information using the time-dependent change of variables

R?[u] = 21−mm Z

Rd

um

D2um−1d1∆um−1Id

2dx

+ 2 (m−m1)1−mm Z

Rd

um

∆um−1−2d

2dx

Proposition

If1−1/d<m<1and d ≥2, then I[u0]−4E[u0] =

Z

0 R?[u(τ,·)]dτ

(31)

Entropy methods: the compact case Entropy methods: the non-compact case Weighted nonlinear flows and CKN inequalities

Symmetry, symmetry breaking and branches of solutions A parabolic proof ?

Large time asymptotics and spectral gaps Linearization and optimality

Unbounded domains and weighted nonlinear flows:

Caffarelli-Kohn-Nirenberg inequalities

BCaffarelli-Kohn-Nirenberg inequalities: symmetry results, elliptic and parabolic proofs

BLarge time asymptotics and spectral gaps BOptimality cases

J. Dolbeault Nonlinear flows and entropy methods

(32)

Entropy methods: the compact case Entropy methods: the non-compact case Weighted nonlinear flows and CKN inequalities

Symmetry, symmetry breaking and branches of solutions A parabolic proof ?

Large time asymptotics and spectral gaps Linearization and optimality

Caffarelli-Kohn-Nirenberg inequalities and the symmetry

breaking issue

BSymmetry, symmetry breaking and branches of solutions BThe sharp result on symmetry

BBifurcation and branches

Joint work with M.J. Esteban, M. Loss and M. Muratori

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Entropy methods: the compact case Entropy methods: the non-compact case Weighted nonlinear flows and CKN inequalities

Symmetry, symmetry breaking and branches of solutions A parabolic proof ?

Large time asymptotics and spectral gaps Linearization and optimality

Critical Caffarelli-Kohn-Nirenberg inequalities

LetDa,b:=n

v ∈Lp Rd,|x|−bdx

: |x|−a|∇v| ∈L2 Rd,dxo Z

Rd

|v|p

|x|b p dx 2/p

≤ Ca,b Z

Rd

|∇v|2

|x|2a dx ∀v ∈ Da,b

holds under the conditions thata≤b≤a+ 1ifd≥3,a<b≤a+ 1 ifd = 2,a+ 1/2<b≤a+ 1ifd= 1, anda<ac := (d−2)/2

p= 2d

d−2 + 2 (b−a) (critical case) BAn optimal function among radial functions:

v?(x) =

1 +|x|(p−2) (ac−a)p−22

and C?a,b= k |x|−bv?k2p

k |x|−a∇v?k22

Question: Ca,b= C?a,b (symmetry) orCa,b>C?a,b (symmetry breaking) ?

J. Dolbeault Nonlinear flows and entropy methods

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Entropy methods: the compact case Entropy methods: the non-compact case Weighted nonlinear flows and CKN inequalities

Symmetry, symmetry breaking and branches of solutions A parabolic proof ?

Large time asymptotics and spectral gaps Linearization and optimality

Critical CKN: range of the parameters

Figure: d = 3 Z

Rd

|v|p

|x|b p dx 2/p

≤ Ca,b Z

Rd

|∇v|2

|x|2a dx

a b

0 1

−1

b=a

b=a+ 1

a=d−22

a≤b≤a+ 1ifd≥3

a<b≤a+ 1ifd= 2,a+ 1/2<b≤a+ 1ifd= 1 anda<ac := (d−2)/2

p= 2d

d−2 + 2 (b−a)

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

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

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Entropy methods: the compact case Entropy methods: the non-compact case Weighted nonlinear flows and CKN inequalities

Symmetry, symmetry breaking and branches of solutions A parabolic proof ?

Large time asymptotics and spectral gaps Linearization and optimality

Proving symmetry breaking

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

a b

0

[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 functionp7→a+b

J. Dolbeault Nonlinear flows and entropy methods

(36)

Entropy methods: the compact case Entropy methods: the non-compact case Weighted nonlinear flows and CKN inequalities

Symmetry, symmetry breaking and branches of solutions A parabolic proof ?

Large time asymptotics and spectral gaps Linearization and optimality

Moving planes and symmetrization techniques

a b

0

[Chou, Chu],[Horiuchi]

[Betta, Brock, Mercaldo, Posteraro]

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

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Entropy methods: the compact case Entropy methods: the non-compact case Weighted nonlinear flows and CKN inequalities

Symmetry, symmetry breaking and branches of solutions A parabolic proof ?

Large time asymptotics and spectral gaps Linearization and optimality

Linear instability of radial minimizers:

the Felli-Schneider curve

a b

0

[Catrina, Wang],[Felli, Schneider]The functional

C?a,b Z

Rd

|∇v|2

|x|2a dx− Z

Rd

|v|p

|x|b p dx 2/p

is linearly instable atv =v?

J. Dolbeault Nonlinear flows and entropy methods

(38)

Entropy methods: the compact case Entropy methods: the non-compact case Weighted nonlinear flows and CKN inequalities

Symmetry, symmetry breaking and branches of solutions A parabolic proof ?

Large time asymptotics and spectral gaps Linearization and optimality

Direct spectral estimates

a b

0

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

(39)

Entropy methods: the compact case Entropy methods: the non-compact case Weighted nonlinear flows and CKN inequalities

Symmetry, symmetry breaking and branches of solutions A parabolic proof ?

Large time asymptotics and spectral gaps Linearization and optimality

The Emden-Fowler transformation and the cylinder

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

Gagliardo-Nirenberg inequalities on a cylinder

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

k∂sϕk2L2(C)+k∇ωϕk2L2(C)+ Λkϕk2L2(C)≥µ(Λ)kϕk2Lp(C) ∀ϕ∈H1(C)

whereΛ := (ac−a)2,C=R×Sd−1 and the optimal constantµ(Λ)is µ(Λ) = 1

Ca,b with a=ac±√

Λ and b= d p ±√

Λ

J. Dolbeault Nonlinear flows and entropy methods

(40)

Entropy methods: the compact case Entropy methods: the non-compact case Weighted nonlinear flows and CKN inequalities

Symmetry, symmetry breaking and branches of solutions A parabolic proof ?

Large time asymptotics and spectral gaps Linearization and optimality

Numerical results

20 40 60 80 100

10 20 30 40 50

Λ(µ) symmetric non-symmetric asymptotic

bifurcation

Jθ(µ) Jθ(1)µα

Parametric plot of the branch of optimal functions forp= 2.8, d= 5:

µ(Λ) = Λ1/αis the solution is symmetric. Bifurcation point: V. Felli and M. Schneider. Large values ofΛ: F. Catrina and Z.-Q. Wang

Further numerical results [J.D., Esteban, 2012]

Formal computation near the bifurcation point & asymptotic energy estimates[J.D., Esteban, 2013]

(41)

Entropy methods: the compact case Entropy methods: the non-compact case Weighted nonlinear flows and CKN inequalities

Symmetry, symmetry breaking and branches of solutions A parabolic proof ?

Large time asymptotics and spectral gaps Linearization and optimality

Symmetry versus symmetry breaking:

the sharp result

A result based on entropies and nonlinear flows

a b

0

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

J. Dolbeault Nonlinear flows and entropy methods

(42)

Entropy methods: the compact case Entropy methods: the non-compact case Weighted nonlinear flows and CKN inequalities

Symmetry, symmetry breaking and branches of solutions A parabolic proof ?

Large time asymptotics and spectral gaps Linearization and optimality

The symmetry result

The Felli & Schneider curve is defined by

bFS(a) := d(ac−a) 2p

(ac−a)2+d−1 +a−ac

Theorem

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

(43)

Entropy methods: the compact case Entropy methods: the non-compact case Weighted nonlinear flows and CKN inequalities

Symmetry, symmetry breaking and branches of solutions A parabolic proof ?

Large time asymptotics and spectral gaps Linearization and optimality

Subcritical Caffarelli-Kohn-Nirenberg inequalities

Norms: kwkLq,γ(Rd) := R

Rd|w|q|x|−γ dx1/q

,kwkLq(Rd) :=kwkLq,0(Rd)

(some)Caffarelli-Kohn-Nirenberg interpolation inequalities(1984) kwkL2p,γ(Rd)≤Cβ,γ,pk∇wkϑL2,β(Rd)kwk1−ϑLp+1,γ(Rd) (CKN) HereCβ,γ,p denotes the optimal constant, the parameters satisfy

d≥2, γ−2< β < d−2d γ , γ∈(−∞,d), p∈(1,p?] withp?:= d−β−2d−γ and the exponentϑis determined by the scaling invariance, i.e.,

ϑ= (d−γ) (p−1)

p d+β+2−2γ−p(d−β−2)

Is the equality case achieved by the Barenblatt / Aubin-Talenti type function

w?(x) = 1 +|x|2+β−γ−1/(p−1)

∀x ∈Rd ?

Do we know (symmetry) that the equality case is achieved among radial functions?

J. Dolbeault Nonlinear flows and entropy methods

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Entropy methods: the compact case Entropy methods: the non-compact case Weighted nonlinear flows and CKN inequalities

Symmetry, symmetry breaking and branches of solutions A parabolic proof ?

Large time asymptotics and spectral gaps Linearization and optimality

Range of the parameters

(45)

Entropy methods: the compact case Entropy methods: the non-compact case Weighted nonlinear flows and CKN inequalities

Symmetry, symmetry breaking and branches of solutions A parabolic proof ?

Large time asymptotics and spectral gaps Linearization and optimality

CKN and entropy – entropy production inequalities

When symmetry holds, (CKN) can be written as anentropy – entropy productioninequality

1−m

m (2 +β−γ)2F[v]≤ I[v]

and equality is achieved byBβ,γ. Here thefree energyand the relative Fisher informationare defined by

F[v] := 1 m−1

Z

Rd

vm−Bmβ,γ−mBm−1β,γ (v−Bβ,γ) dx

|x|γ I[v] :=

Z

Rd

v

∇vm−1− ∇Bm−1β,γ

2 dx

|x|β. Ifv solves theFokker-Planck type equation

vt+|x|γ∇ ·h

|x|−βv∇ vm−1− |x|2+β−γi

= 0 (WFDE-FP)

then d

dtF[v(t,·)] =− m

1−mI[v(t,·)]

J. Dolbeault Nonlinear flows and entropy methods

(46)

Entropy methods: the compact case Entropy methods: the non-compact case Weighted nonlinear flows and CKN inequalities

Symmetry, symmetry breaking and branches of solutions A parabolic proof ?

Large time asymptotics and spectral gaps Linearization and optimality

Proposition

Let m=p+12p and consider a solution to (WFDE-FP) with nonnegative initial datum u0∈L1,γ(Rd)such that ku0mkL1,γ(Rd) and

R

Rdu0|x|2+β−2γdx are finite. Then

F[v(t,·)]≤ F[u0]e−(2+β−γ)2t ∀t≥0 if one of the following two conditions is satisfied:

(i) either u0 is a.e. radially symmetric (ii) or symmetry holds in (CKN)

(47)

Entropy methods: the compact case Entropy methods: the non-compact case Weighted nonlinear flows and CKN inequalities

Symmetry, symmetry breaking and branches of solutions A parabolic proof ?

Large time asymptotics and spectral gaps Linearization and optimality

With two weights: a symmetry breaking result

Let us define

βFS(γ) :=d−2−p

(d−γ)2−4 (d−1) Theorem

Symmetry breaking holds in (CKN) if

γ <0 and βFS(γ)< β < d−2

d γ

In the rangeβFS(γ)< β <d−2d γ,w?(x) = 1 +|x|2+β−γ−1/(p−1)

is notoptimal.

J. Dolbeault Nonlinear flows and entropy methods

(48)

Entropy methods: the compact case Entropy methods: the non-compact case Weighted nonlinear flows and CKN inequalities

Symmetry, symmetry breaking and branches of solutions A parabolic proof ?

Large time asymptotics and spectral gaps Linearization and optimality

The grey area corresponds to the admissible cone. The light grey area is the region of symmetry, while the dark grey area is the region of symmetry breaking. The threshold is determined by the hyperbola

(d−γ)2−(β−d+ 2)2−4 (d−1) = 0

(49)

Entropy methods: the compact case Entropy methods: the non-compact case Weighted nonlinear flows and CKN inequalities

Symmetry, symmetry breaking and branches of solutions A parabolic proof ?

Large time asymptotics and spectral gaps Linearization and optimality

A useful change of variables

With

α= 1 + β−γ

2 and n= 2 d−γ β+ 2−γ, (CKN) can be rewritten for a functionv(|x|α−1x) =w(x)as

kvkL2p,d−n(Rd)≤Kα,n,pkDαvkϑL2,d−n(Rd)kvk1−ϑLp+1,d−n(Rd)

with the notationss=|x|,Dαv = α∂v∂s,1sωv

. Parameters are in the range

d≥2, α >0, n>d and p∈(1,p?], p?:= n n−2 By our change of variables,w? is changed into

v?(x) := 1 +|x|2−1/(p−1)

∀x∈Rd

The symmetry breaking condition (Felli-Schneider) now reads

α > αFS with αFS:=

rd−1 n−1

J. Dolbeault Nonlinear flows and entropy methods

(50)

Entropy methods: the compact case Entropy methods: the non-compact case Weighted nonlinear flows and CKN inequalities

Symmetry, symmetry breaking and branches of solutions A parabolic proof ?

Large time asymptotics and spectral gaps Linearization and optimality

The second variation

J[v] :=ϑlog kDαvkL2,d−n(Rd)

+ (1−ϑ) log kvkLp+1,d−n(Rd)

+ log Kα,n,p−log kvkL2p,d−n(Rd)

Let us definedµδ:=µδ(x)dx, where µδ(x) := (1 +|x|2)−δ. Sincev? is a critical point ofJ, a Taylor expansion at orderε2shows that

kDαv?k2L2,d−n(Rd)J

v?+ε µδ/2f

=12ε2ϑQ[f]+o(ε2) withδ=p−12p and

Q[f] =R

Rd|Dαf|2|x|n−dδ4pp−1α2

R

Rd|f|2|x|n−dδ+1

We assume thatR

Rdf|x|n−dδ+1= 0(mass conservation)

(51)

Entropy methods: the compact case Entropy methods: the non-compact case Weighted nonlinear flows and CKN inequalities

Symmetry, symmetry breaking and branches of solutions A parabolic proof ?

Large time asymptotics and spectral gaps Linearization and optimality

Symmetry breaking: the proof

Proposition (Hardy-Poincar´e inequality)

Let d≥2,α∈(0,+∞), n>d andδ≥n. If f has0 average, then Z

Rd

|Dαf|2|x|n−dδ ≥Λ Z

Rd

|f|2|x|n−dδ+1

with optimal constantΛ = min{2α2(2δ−n),2α2δ η} whereη is the unique positive solution toη(η+n−2) = (d−1)/α2. The corresponding eigenfunction is not radially symmetric ifα2>n(2(d−1)δ−n) (δ−1)δ2 .

Q ≥0iff 4pp−1α2 ≤Λand symmetry breaking occurs in (CKN) if 2α2δ η < 4pα2

p−1 ⇐⇒ η <1

⇐⇒ d−1

α2 =η(η+n−2)<n−1 ⇐⇒ α > αFS

J. Dolbeault Nonlinear flows and entropy methods

(52)

Entropy methods: the compact case Entropy methods: the non-compact case Weighted nonlinear flows and CKN inequalities

Symmetry, symmetry breaking and branches of solutions A parabolic proof ?

Large time asymptotics and spectral gaps Linearization and optimality

The symmetry result

Bcritical case: [J.D., Esteban, Loss; Inventiones]

Bsubcritical case: [J.D., Esteban, Loss, Muratori; CR Math.]

Theorem

Assume thatβ≤βFS(γ). Then all positive solutions inHpβ,γ(Rd)of

−div |x|−β∇w

=|x|−γ w2p−1−wp

in Rd\ {0} are radially symmetric and, up to a scaling and a multiplication by a constant, equal to w?(x) = 1 +|x|2+β−γ−1/(p−1)

(53)

Entropy methods: the compact case Entropy methods: the non-compact case Weighted nonlinear flows and CKN inequalities

Symmetry, symmetry breaking and branches of solutions A parabolic proof ?

Large time asymptotics and spectral gaps Linearization and optimality

The strategy of the proof (1/3)

The first step is based on achange of variableswhich amounts to rephrase our problem in a space of higher,artificial dimensionn>d (herenis a dimension at least from the point of view of the scaling properties), or to be precise to consider a weight|x|n−d which is the same in all norms. With

v(|x|α−1x) =w(x), α= 1 +β−γ

2 and n= 2 d−γ β+ 2−γ we claim that Inequality (CKN) can be rewritten for a function v(|x|α−1x) =w(x)as

kvkL2p,d−n(Rd) ≤Kα,n,pkDαvkϑL2,d−n(Rd)kvk1−ϑLp+1,d−n(Rd) ∀v ∈Hpd−n,d−n(Rd) with the notationss=|x|,Dαv = α∂v∂s,1sωv

and d≥2, α >0, n>d and p∈(1,p?] . By our change of variables,w? is changed into

v?(x) := 1 +|x|2−1/(p−1)

∀x∈Rd

J. Dolbeault Nonlinear flows and entropy methods

(54)

Entropy methods: the compact case Entropy methods: the non-compact case Weighted nonlinear flows and CKN inequalities

Symmetry, symmetry breaking and branches of solutions A parabolic proof ?

Large time asymptotics and spectral gaps Linearization and optimality

The strategy of the proof (2/3): concavity of the R´ enyi entropy power

The derivative of the generalizedR´enyi entropy powerfunctional is

G[u] :=

Z

Rd

umσ−1Z

Rd

u|DαP|2dµ whereσ= 2d 1−m1 −1. Heredµ=|x|n−ddx and the pressure is

P := m 1−mum−1

Proving the symmetry in the inequality amounts to proving the monotonicity of G[u]

along a well chosen fast diffusion flow

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