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Spectral estimates and entropy methods

Jean Dolbeault

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

April 21, 2015, Besan¸con Spectral theory and kinetic equations

April 20–24, 2015

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Scope

We prove sharp estimates for Schr¨odinger operators using - a duality which reduces the problem to a nonlinear interpolation inequality

- rigidity methods based on a nonlinear flow

- generalized entropies and generalized Fisher informations

We start with compact manifolds for which rigidity statements are easy and extend the method to non-compact settings which are much more difficult

Spectral estimates on the sphere Interpolation inequalities on the sphere

A nonlinear flow and improvements of the inequalities The line

Compact manifolds The cylinder

Symmetry breaking issues in Caffarelli-Kohn-Nirenberg inequalities

J. Dolbeault Spectral estimates and entropy methods

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Spectral estimates on the sphere

The Keller-Lieb-Tirring inequality is equivalent to an interpolation inequality of Gagliardo-Nirenberg-Sobolev type

We measure a quantitative deviation with respect to the semi-classical regime due to finite size effects

Joint work with M.J. Esteban and A. Laptev

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An introduction to Lieb-Thirring inequalities

Consider the Schr¨odinger operatorH=−∆−V onRd and denote by (λk)k≥1its eigenvalues

Euclidean case[Keller, 1961]

1|γ ≤L1γ,d Z

Rd

V+γ+d2

[Lieb-Thirring, 1976]

X

k≥1

k|γ≤Lγ,d

Z

Rd

V+γ+d2

γ≥1/2ifd= 1,γ >0 ifd = 2andγ≥0 ifd≥3[Weidl],[Cwikel], [Rosenbljum], [Aizenman],[Laptev-Weidl], [Helffer],[Robert], [Dolbeault-Felmer-Loss-Paturel]... [Dolbeault-Laptev-Loss 2008]

Compact manifolds: log Sobolev case: [Federbusch],[Rothaus];

caseγ= 0(Rozenbljum-Lieb-Cwikel inequality): [Levin-Solomyak];

[Lieb],[Levin],[Ouabaz-Poupaud]... [Ilyin]

⊲How does one take into account the finite size effects in the case of compact manifolds ?

J. Dolbeault Spectral estimates and entropy methods

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A Keller-Lieb-Thirring inequality on the sphere

Letd ≥1,p∈

max{1,d/2},+∞ and µ:= d2(p−1) Theorem (Dolbeault-Esteban-Laptev)

There exists a convex increasing functionαs.t. α(µ) =µifµ∈ 0, µ andα(µ)> µifµ∈ µ,+∞

and, for any p<d/2,

1(−∆−V)| ≤α kVkLp(Sd)

∀V ∈Lp(Sd)

This estimate is optimal For large values ofµ, we have

α(µ)pd2 =L1p−d

2,dq,dµ)p(1 +o(1))

If p =d/2 and d≥3, the inequality holds withα(µ) =µiff µ∈[0, µ]

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A Keller-Lieb-Thirring inequality: second formulation

Letd ≥1,γ=p−d/2

Corollary (Dolbeault-Esteban-Laptev)

1(−∆−V)|γ .L1γ,d Z

Sd

Vγ+d2 as µ=kVkLγ+d2(Sd)→ ∞ if either γ >max{0,1−d/2}orγ= 1/2and d = 1 However, if µ=kVkLγ+d2(Sd) ≤µ, then we have

1(−∆−V)|γ+d2 ≤ Z

Sd

Vγ+d2

for anyγ≥max{0,1−d/2}and this estimate is optimal

L1γ,d is the optimal constant in the Euclidean one bound state ineq.

1(−∆−φ)|γ ≤L1γ,d

Z

Rd

φγ++ d2 dx

J. Dolbeault Spectral estimates and entropy methods

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H¨older duality and link with interpolation inequalities

Consider the Schr¨odinger operator−∆−V and the energy E[u] :=

Z

Sd|∇u|2− Z

Sd

V|u|2

≥ Z

Sd|∇u|2−µkuk2Lq(Sd)

≥ −α(µ)kuk2L2(Sd) ifµ=kV+kLp(Sd)

⊲Is it true that

k∇uk2L2(Sd)+αkuk2L2(Sd)≥µ(α)kuk2Lq(Sd) ? In other words, what are the properties of the minimum of

Qα[u] := k∇uk2L2(Sd)+αkuk2L2(Sd)

kuk2Lq(Sd)

?

An important convention (for the numerical value of the constants):

we consider the uniform probability measureon the unit sphereSd

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! " # $ %& %! %"

!

"

#

$

%&

%!

%"

α µ

µ=µ(α)

µ=α µ=µ±(α) µ=µasymp(α)

J. Dolbeault Spectral estimates and entropy methods

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µasymp(α) :=Kκq,d

q,d α1ϑ,ϑ:=d q−2q2 corresponds to the semi-classical regime andKq,d is the optimal constant in the Euclidean Gagliardo-Nirenberg-Sobolev inequality

Kq,dkvk2Lq(Rd)≤ k∇vk2L2(Rd)+kvk2L2(Rd) ∀v ∈H1(Rd) Letϕbe a non-trivial eigenfunction of the Laplace-Beltrami operator corresponding the first nonzero eigenvalue

−∆ϕ=dϕ

Consideru= 1 +ε ϕasε→0Taylor expandQα aroundu= 1 µ(α)≤ Qα[1 +ε ϕ] =α+

d+α(2−q) ε2

Z

Sd|ϕ|2d vg+o(ε2) By takingεsmall enough, we getµ(α)< αfor allα >d/(q−2) Optimizing on the value of ε >0(not necessarily small) provides an interesting test function...

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Another inequality

Letd ≥1 andγ >d/2and assume that L1γ,d is the optimal constant in

λ1(−∆ +φ)γ ≤L1γ,d Z

Rd

φd2γ dx q= 2 2γ−d

2γ−d+ 2 and p= q

2−q =γ−d 2 Theorem (Dolbeault-Esteban-Laptev)

λ1(−∆ +W)γ

.L1γ,d Z

Sd

Wd2γ as β=kW1k1

Lγd2(Sd) → ∞ However, if γ≥ d2 + 1andβ=kW1k1

Lγ−d2(Sd)14d(2γ−d+ 2) λ1(−∆ +W)d2γ

≤ Z

Sd

Wd2γ and this estimate is optimal

J. Dolbeault Spectral estimates and entropy methods

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Kq,d is the optimal constant in the Gagliardo-Nirenberg-Sobolev inequality

Kq,dkvk2L2(Rd) ≤ k∇vk2L2(Rd)+kvk2Lq(Rd) ∀v ∈H1(Rd) and L1γ,d :=

Kq,dγ

withq= 222γγ−d+2d ,δ:= 2d−q2q(d−2) Lemma (Dolbeault-Esteban-Laptev)

Let q∈(0,2)and d ≥1. There exists a concave increasing functionν ν(β)≤β ∀β >0 and ν(β)< β ∀β ∈ 2−qd ,+∞

ν(β) =β ∀β∈ 0,2dq

if q∈[1,2) ν(β) = Kq,dq,dβ)δ (1 +o(1)) as β→+∞ such that

k∇uk2L2(Sd)+βkuk2Lq(Sd)≥ν(β)kuk2L2(Sd) ∀u∈H1(Sd)

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The threshold case: q = 2

Lemma (Dolbeault-Esteban-Laptev)

Let p>max{1,d/2}. There exists a concave nondecreasing functionξ ξ(α) =α ∀α∈(0, α0) and ξ(α)< α ∀α > α0

for someα0d

2(p−1),d2p

, andξ(α)∼α12dp as α→+∞ such that, for any u∈H1(Sd)withkukL2(Sd)= 1

Z

Sd|u|2log|u|2d vg+plog ξ(α)α

≤plog

1 + α1k∇uk2L2(Sd)

Corollary (Dolbeault-Esteban-Laptev) eλ1(W)/α≤ α

ξ(α) Z

Sd

ep Wd vg

1/p

J. Dolbeault Spectral estimates and entropy methods

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Interpolation inequalities on the sphere

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

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A family of interpolation inequalities on the sphere

The following interpolation inequality holds on the sphere:

p−2 d

Z

Sd|∇u|2d vg+ Z

Sd|u|2d vg ≥ Z

Sd|u|pd vg

2/p

∀u∈H1(Sd,dvg) for anyp∈(2,2]with2= d2d2 ifd ≥3

for anyp∈(2,∞)ifd= 2

Here dvg is the uniform probability measure: vg(Sd) = 1

1 is the optimal constant, equality achieved by constants p= 2 corresponds to Sobolev’s inequality...

J. Dolbeault Spectral estimates and entropy methods

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Stereographic projection

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Sobolev inequality

The stereographic projection of Sd ⊂Rd×R∋(ρ φ,z)ontoRd: to ρ2+z2= 1,z ∈[−1,1],ρ≥0,φ∈Sd−1 we associatex∈Rd such that r =|x|,φ= |xx|

z = r2−1

r2+ 1 = 1− 2

r2+ 1 , ρ= 2r r2+ 1

and transform any function uonSd into a functionv onRd using u(y) = ρrd−22

v(x) = r22+1d−22

v(x) = (1−z)d−22v(x) p= 2,Sd =14d(d−2)|Sd|2/d: Euclidean Sobolev inequality

Z

Rd|∇v|2dx≥Sd

Z

Rd|v|d−2d2 dx d−2d

∀v∈ D1,2(Rd)

J. Dolbeault Spectral estimates and entropy methods

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Extended inequality

Z

Sd|∇u|2d vg ≥ d p−2

"

Z

Sd|u|pd vg

2/p

− Z

Sd|u|2d vg

#

∀u∈H1(Sd,dµ) is valid

for anyp∈(1,2)∪(2,∞)ifd= 1,2 for anyp∈(1,2)∪(2,2]ifd ≥3 Casep= 2: Logarithmic Sobolev inequality Z

Sd|∇u|2d vg≥ d 2

Z

Sd|u|2log

|u|2 R

Sd|u|2d vg

d vg ∀u∈H1(Sd,dµ) Casep= 1: Poincar´e inequality

Z

Sd|∇u|2d vg ≥d Z

Sd|u−u¯|2d vg with u¯:=

Z

Sd

u d vg ∀u∈H1(Sd,dµ)

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Optimality: a perturbation argument

For anyp∈(1,2]ifd≥3, anyp>1 ifd = 1or2, it is remarkable that

Q[u] := (p−2)k∇uk2L2(Sd)

kuk2Lp(Sd)− kuk2L2(Sd)

≥ inf

uH1(Sd,dµ)Q[u] = 1 d is achieved in the limiting case

Q[1 +εv]∼ k∇vk2L2(Sd)

kvk2L2(Sd)

as ε→0 when v is an eigenfunction associated with the first nonzero eigenvalue of∆g, thus proving the optimality

p<2: a proof by semi-groups using Nelson’s hypercontractivity lemma. p>2: no simple proof based on spectral analysis is available:

[Beckner], an approach based on Lieb’s duality, the Funk-Hecke formula and some (non-trivial) computations

elliptic methods /Γ2formalism of Bakry-Emery / nonlinear flows

J. Dolbeault Spectral estimates and entropy methods

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Schwarz symmetrization and the ultraspherical setting

0, ξ1, . . . ξd)∈Sdd =z, Pd

i=0i|2= 1[Smets-Willem]

Lemma

Up to a rotation, any minimizer ofQdepends only onξd =z

• Letdσ(θ) := (sinZθ)d−1

d dθ,Zd :=√

π Γ(

d 2 ) Γ(d+1 2 )

: ∀v ∈H1([0, π],dσ)

p−2 d

Z π

0 |v(θ)|2dσ+ Z π

0 |v(θ)|2dσ≥ Z π

0 |v(θ)|p2p

• Change of variablesz = cosθ,v(θ) =f(z) p−2

d Z 1

1|f|2νdνd+ Z 1

1|f|2d ≥ Z 1

1|f|pd

2p

where νd(z)dz =dνd(z) :=Zd1νd21dz,ν(z) := 1−z2

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The ultraspherical operator

With dνd=Zd1νd21dz, ν(z) := 1−z2, consider the space L2((−1,1),dνd)with scalar product

hf1,f2i= Z 1

1

f1f2d, kfkp= Z 1

1

fpd

p1

The self-adjointultraspherical operator is

Lf := (1−z2)f′′−d z f=νf′′+d 2 νf which satisfieshf1,Lf2i=−R1

1f1f2ν dνd

Proposition

Let p∈[1,2)∪(2,2], d ≥1

−hf,Lfi= Z 1

1|f|2νdνd≥d kfk2p− kfk22

p−2 ∀f ∈H1([−1,1],dνd)

J. Dolbeault Spectral estimates and entropy methods

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Flows on the sphere

Heat flow and the Bakry-Emery method

Fast diffusion (porous media) flow and the choice of the exponents

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

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Heat flow and the Bakry-Emery method

With g =fp,i.e. f =gαwithα= 1/p

(Ineq.) −hf,Lfi=−hgα,Lgαi=:I[g]≥d kgk21α− kg2αk1

p−2 =:F[g] Heat flow

∂g

∂t =Lg d

dt kgk1= 0, d

dt kg2αk1=−2 (p−2)hf,Lfi= 2 (p−2) Z 1

1|f|2ν dνd

which finally gives d

dtF[g(t,·)] =− d p−2

d

dtkg2αk1=−2dI[g(t,·)]

Ineq. ⇐⇒ d

dtF[g(t,·)]≤ −2dF[g(t,·)] ⇐= d

dtI[g(t,·)]≤ −2dI[g(t,·)]

J. Dolbeault Spectral estimates and entropy methods

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The equation forg =fp can be rewritten in terms off as

∂f

∂t =Lf + (p−1)|f|2 f ν

−1 2

d dt

Z 1

1|f|2ν dνd =1 2

d

dthf,Lfi=hLf,Lfi+ (p−1)h|f|2 f ν,Lfi d

dtI[g(t,·)] + 2dI[g(t,·)]= d dt

Z 1

1|f|2νdνd+ 2d Z 1

1|f|2νdνd

=−2 Z 1

1

|f′′|2+ (p−1) d d+ 2

|f|4

f2 −2 (p−1)d−1 d+ 2

|f|2f′′

f

ν2d

is nonpositive if

|f′′|2+ (p−1) d d+ 2

|f|4

f2 − 2 (p−1)d−1 d+ 2

|f|2f′′

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

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

d dz,L

u= (Lu)− Lu =−2z u′′−d u

Z 1

1

(Lu)2d = Z 1

1|u′′|2ν2d+d Z 1

1|u|2ν dνd Z 1

1

(Lu)|u|2

u νdνd = d d+ 2

Z 1

1

|u|4

u2 ν2d−2d−1 d+ 2

Z 1

1

|u|2u′′

u ν2d

On (−1,1), let us consider the porous medium (fast diffusion)flow ut=u2

Lu+κ|u|2 u ν

Ifκ=β(p−2) + 1, the Lp norm is conserved d

dt Z 1

1

uβpd =βp(κ−β(p−2)−1) Z 1

1

uβ(p2)|u|2ν dνd= 0

J. Dolbeault Spectral estimates and entropy methods

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f =uβ,kfk2L2(Sd)+pd2

kfk2L2(Sd)− kfk2Lp(Sd)

≥0 ?

A:=

Z 1

1|u′′|2ν2d−2d−1

d+ 2(κ+β−1) Z 1

1

u′′|u|2 u ν2d

+

κ(β−1) + d

d+ 2(κ+β−1) Z 1

1

|u|4 u2 ν2d

Ais nonnegative for someβ if 8d2

(d+ 2)2(p−1) (2−p)≥0

Ais a sum of squares ifp∈(2,2)for an arbitrary choice ofβ in a certain interval (depending on pand

A= Z 1

1

u′′−p+ 2 6−p

|u|2 u

2

ν2d≥0 ifp= 2andβ = 4 6−p

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The rigidity point of view

Which computation have we done ? ut=u2

Lu+κ|uu|2ν

− Lu−(β−1)|u|2

u ν+ λ

p−2u= λ p−2uκ Multiply by Luand integrate

...

Z 1

1Lu uκd=−κ Z 1

1

uκ|u|2 u dνd

Multiply by κ|uu|2 and integrate ...= +κ

Z 1

1

uκ|u|2 u dνd

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

J. Dolbeault Spectral estimates and entropy methods

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Improvements of the inequalities (subcritical range)

as long as the exponent is either in the range(1,2)or in the range (2,2), on can establishimproved inequalities

An improvement automatically gives an explicit stability result of the optimal functions in the (non-improved) inequality

By duality, this provides a stability result for Keller-Lieb-Tirring inequalities

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

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What does “improvement” mean ?

An improvedinequality is

dΦ (e)≤i ∀u∈H1(Sd) s.t. kuk2L2(Sd)= 1 for some functionΦsuch thatΦ(0) = 0,Φ(0) = 1,Φ>0 and Φ(s)>s for anys. WithΨ(s) :=s−Φ1(s)

i−de≥d(Ψ◦Φ)(e) ∀u∈H1(Sd) s.t. kuk2L2(Sd)= 1 Lemma (Generalized Csisz´ar-Kullback inequalities)

k∇uk2L2(Sd)− d p−2

hkuk2Lp(Sd)− kuk2L2(Sd)

i

≥dkuk2L2(Sd)(Ψ◦Φ)

Ckuk

2 (1−r) Ls(Sd)

kuk2L2 (Sd) kur−u¯rk2Lq(Sd)

∀u∈H1(Sd) s(p) := max{2,p} andp∈(1,2): q(p) := 2/p,r(p) :=p;p∈(2,4):

q=p/2,r = 2;p≥4: q=p/(p−2),r =p−2

J. Dolbeault Spectral estimates and entropy methods

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Linear flow: improved Bakry-Emery method

Cf. [Arnold, JD]

wt =Lw+κ|w|2 w ν With 2:= (d−2d2+11)2

γ1:=

d−1 d+ 2

2

(p−1) (2#−p) if d>1, γ1:= p−1

3 if d= 1 Ifp∈[1,2)∪(2,2] andw is a solution, then

d

dt (i−de)≤ −γ1

Z 1

1

|w|4

w2d ≤ −γ1 |e|2 1−(p−2) e Recalling that e=−i, we get a differential inequality

e′′+ de ≥γ1 |e|2 1− (p−2) e After integration: dΦ(e(0))≤i(0)

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Nonlinear flow: the H¨older estimate of J. Demange

wt =w2

Lw+κ|w|2 w

For allp∈[1,2],κ=β(p−2) + 1, dtd R1

1wβpd = 0

12 dtd R1

1

|(wβ)|2ν+pd2 w−w

d ≥γR1

1

|w|4 w2 ν2d

Lemma

For all w ∈H1 (−1,1),dνd

, such thatR1

1wβpd = 1 Z 1

1

|w|4

w2 ν2d ≥ 1 β2

R1

1|(wβ)|2νdνdR1

1|w|2ν dνd

R1

1wd

δ .... but there are conditions on β

J. Dolbeault Spectral estimates and entropy methods

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Admissible (p, β ) for d = 5

0.5 1.0 1.5 2.0 2.5 3.0 3.5 4.0

1 2 3 4 5 6

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The line

A first example of a non-compact manifold

Joint work with M.J. Esteban, A. Laptev and M. Loss

J. Dolbeault Spectral estimates and entropy methods

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One-dimensional Gagliardo-Nirenberg-Sobolev inequalities

kfkLp(R)≤CGN(p)kfkθL2(R)kfk1L2(θR) if p∈(2,∞) kfkL2(R) ≤CGN(p)kfkηL2(R)kfk1Lp(ηR) if p∈(1,2) withθ= p2p2 andη=22+pp

The threshold case corresponding to the limit as p→2 is the logarithmic Sobolev inequality

R

Ru2log

u2 kuk2L2 (R)

dx≤ 12kuk2L2(R) log

2 πe

kuk2L2 (R) kuk2L2 (R)

Ifp>2,u(x) = (coshx)p−22 solves

−(p−2)2u′′+ 4u−2p|u|p2u= 0 Ifp∈(1,2)consider u(x) = (cosx)22p,x∈(−π/2, π/2)

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Flow

Let us define on H1(R)the functional F[v] :=kvk2L2(R)+ 4

(p−2)2kvk2L2(R)−Ckvk2Lp(R) s.t.F[u] = 0 With z(x) := tanhx, consider theflow

vt= v1p2

√1−z2

v′′+ 2p

p−2z v+ p 2

|v|2

v + 2

p−2v

Theorem (Dolbeault-Esteban-Laptev-Loss) Let p∈(2,∞). Then

d

dtF[v(t)]≤0 and lim

t→∞F[v(t)] = 0

d

dtF[v(t)] = 0 ⇐⇒ v0(x) =u(x−x0) Similar results for p∈(1,2)

J. Dolbeault Spectral estimates and entropy methods

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The inequality (p > 2) and the ultraspherical operator

The problem on the line is equivalent to the critical problem for the ultraspherical operator

Z

R|v|2dx+ 4 (p−2)2

Z

R|v|2dx≥C Z

R|v|pdx 2p With

z(x) = tanhx, v= (1−z2)p−12 and v(x) =v(x)f(z(x)) equality is achieved forf = 1and, if we letν(z) := 1−z2, then

Z 1

1|f|2νdνd+ 2p (p−2)2

Z 1

1|f|2d ≥ 2p (p−2)2

Z 1

1|f|pd

2 p

where dνp denotes the probability measuredνp(z) :=ζ1

pνp−22 dz d= p2p2 ⇐⇒ p=d2d2

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Change of variables = stereographic projection + Emden-Fowler

J. Dolbeault Spectral estimates and entropy methods

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Compact Riemannian manifolds

no sign is required on the Ricci tensor and an improved integral criterion is established

the flow explores the energy landscape... and shows the non-optimality of the improved criterion

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Riemannian manifolds with positive curvature

(M,g)is a smooth compact connected Riemannian manifold dimensiond, no boundary,∆g is the Laplace-Beltrami operator vol(M) = 1,R is the Ricci tensor,λ11(−∆g)

ρ:= inf

M inf

ξSd−1

R(ξ , ξ) Theorem (Licois-V´eron, Bakry-Ledoux)

Assume d ≥2 andρ >0. If λ≤(1−θ)λ1+θ dρ

d−1 where θ= (d−1)2(p−1) d(d+ 2) +p−1 >0 then for any p∈(2,2), the equation

−∆gv+ λ

p−2 v−vp−1

= 0 has a unique positive solution v ∈C2(M): v ≡1

J. Dolbeault Spectral estimates and entropy methods

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Riemannian manifolds: first improvement

Theorem (Dolbeault-Esteban-Loss) For any p∈(1,2)∪(2,2)

0< λ < λ= inf

u∈H2(M)

Z

M

h(1−θ) (∆gu)2+ θd

d−1R(∇u,∇u)i d vg

R

M|∇u|2d vg

there is a unique positive solution in C2(M): u≡1 limp→1+θ(p) = 0 =⇒limp→1+λ(p) =λ1 ifρis bounded λ1=dρ/(d−1) =d ifM=Sd sinceρ=d−1

(1−θ)λ1+θ dρ

d−1 ≤λ≤λ1

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Riemannian manifolds: second improvement

Hgu denotes Hessian ofuandθ= (d−1)2(p−1) d(d+ 2) +p−1 Qgu:=Hgu−g

d ∆gu−(d−1) (p−1) θ(d+ 3−p)

∇u⊗ ∇u

u −g

d

|∇u|2 u

Λ:= inf

uH2(M)\{0}

(1−θ) Z

M

(∆gu)2d vg+ θd d−1

Z

M

hkQguk2+R(∇u,∇u)i Z

M|∇u|2d vg

Theorem (Dolbeault-Esteban-Loss)

Assume that Λ>0. For any p∈(1,2)∪(2,2), the equation has a unique positive solution in C2(M)ifλ∈(0,Λ): u≡1

J. Dolbeault Spectral estimates and entropy methods

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Optimal interpolation inequality

For any p∈(1,2)∪(2,2)orp= 2 ifd≥3 k∇vk2L2(M)≥ λ

p−2

hkvk2Lp(M)− kvk2L2(M)

i ∀v ∈H1(M) Theorem (Dolbeault-Esteban-Loss)

AssumeΛ>0. The above inequality holds for someλ= Λ∈[Λ, λ1] IfΛ< λ1, then the optimal constantΛ is such that

Λ<Λ≤λ1

If p = 1, thenΛ =λ1

Using u= 1 +ε ϕas a test function whereϕwe getλ≤λ1

A minimum of

v 7→ k∇vk2L2(M)pλ2 h

kvk2Lp(M)− kvk2L2(M)

i under the constraintkvkLp(M)= 1is negative ifλ > λ1

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The flow

The key tools the flow ut =u2

gu+κ|∇u|2 u

, κ= 1 +β(p−2) Ifv =uβ, then dtdkvkLp(M) = 0and the functional

F[u] :=

Z

M|∇(uβ)|2d vg+ λ p−2

"

Z

M

u2βd vg− Z

M

uβpd vg

2/p#

is monotone decaying

J. Demange, Improved Gagliardo-Nirenberg-Sobolev inequalities on manifolds with positive curvature, J. Funct. Anal., 254 (2008), pp. 593–611. Also see C. Villani, Optimal Transport, Old and New

J. Dolbeault Spectral estimates and entropy methods

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Elementary observations (1/2)

Letd ≥2,u∈C2(M), and consider the trace free Hessian Lgu:=Hgu−g

d ∆gu Lemma

Z

M

(∆gu)2d vg= d d−1

Z

M

kLguk2d vg+ d d−1

Z

M

R(∇u,∇u)d vg

Based on the Bochner-Lichnerovicz-Weitzenb¨ock formula 1

2∆|∇u|2=kHguk2+∇(∆gu)· ∇u+R(∇u,∇u)

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Elementary observations (2/2)

Lemma Z

M

gu|∇u|2 u d vg

= d

d+ 2 Z

M

|∇u|4

u2 d vg− 2d d+ 2

Z

M

[Lgu] :

∇u⊗ ∇u u

d vg

Lemma

Z

M

(∆gu)2d vg≥λ1

Z

M

|∇u|2d vg ∀u∈H2(M) andλ1is the optimal constant in the above inequality

J. Dolbeault Spectral estimates and entropy methods

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The key estimates

G[u] :=R

M

hθ(∆gu)2+ (κ+β−1) ∆gu|∇uu|2 +κ(β−1)|∇uu2|4

id vg

Lemma 1 2β2

d

dtF[u] =−(1−θ) Z

M

(∆gu)2d vg− G[u] +λ Z

M

|∇u|2d vg

Qθgu:=Lgu−1θ d−d+21(κ+β−1)h

∇u⊗∇u

ugd |∇u|u 2i Lemma

G[u] = θd d−1

Z

MkQθguk2d vg+ Z

M

R(∇u,∇u)d vg

−µ Z

M

|∇u|4 u2 d vg

withµ:= 1 θ

d−1 d+ 2

2

(κ+β−1)2−κ(β−1)−(κ+β−1) d d+ 2

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The end of the proof

Assume thatd ≥2. Ifθ= 1, thenµis nonpositive if β(p)≤β≤β+(p) ∀p∈(1,2) where β±:= b±2 ab2a witha = 2−p+h(d

1) (p1) d+2

i2

andb = d+3d+2p Notice that β(p)< β+(p)ifp∈(1,2)andβ(2) =β+(2)

θ= (d−1)2(p−1)

d(d+ 2) +p−1 and β= d+ 2 d+ 3−p Proposition

Let d ≥2, p∈(1,2)∪(2,2)(p6= 5or d 6= 2) 1

2 d

dtF[u]≤(λ−Λ) Z

M

|∇u|2d vg

J. Dolbeault Spectral estimates and entropy methods

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Spectral consequences

Joint work with M.J. Esteban, A. Laptev, and M. Loss

The same kind of results as for the sphere. However, estimates are not, in general, sharp.

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Manifolds: the first interpolation inequality

Let us define

κ:=volg(M)12/q Proposition

Assume that q∈(2,2)if d ≥3, or q∈(2,∞)if d= 1or2. There exists a concave increasing functionµ:R+→R+such thatµ(α) =κ α for anyα≤qΛ2,µ(α)< κ αforα > qΛ2 and

k∇uk2L2(M)+αkuk2L2(M)≥µ(α)kuk2Lq(M) ∀u∈H1(M) The asymptotic behaviour ofµis given byµ(α)∼Kq,dα1ϑ as α→+∞, withϑ=dq2q2 andKq,d defined by

Kq,d := inf

vH1(Rd)\{0}

k∇vk2L2(Rd)+kvk2L2(Rd)

kvk2Lq(Rd)

J. Dolbeault Spectral estimates and entropy methods

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Manifolds: the first Keller-Lieb-Thirring estimate

We consider kVkLp(M)=µ7→α(µ) Z

M|∇u|2d vg− Z

M

V|u|2d vg+α(µ) Z

M|u|2d vg

≥ k∇uk2L2(M)−µkuk2Lq(M)+α(µ)kuk2L2(M)

p and q2 are H¨older conjugate exponents Theorem

Let d ≥1, p∈(1,+∞)if d = 1and p∈(d2,+∞)if d≥2 and assume thatΛ>0. With the above notations and definitions, for any

nonnegative V ∈Lp(M), we have

1(−∆g−V)| ≤α kVkLp(M)

Moreover, we have α(µ)pd2 =L1γ,dµp(1 +o(1))asµ→+∞with L1γ,d := (Kq,d)−p,γ=p−d2

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Manifolds: the second Keller-Lieb-Thirring estimate

Theorem

Let d ≥1, p∈(0,+∞). There exists an increasing concave function ν :R+→R+, satisfyingν(β) =β/κ, for anyβ∈(0,p+12 κΛ)if p>1, such that for any positive potential W we have

λ1(−∆ +W)≥ν β

with β= R

MW−pd vg1/p

Moreover, for large values of β, we have ν(β)(p+d2)=L1

(p+d2),dβ−p(1 +o(1))asβ →+∞

J. Dolbeault Spectral estimates and entropy methods

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The Moser-Trudinger-Onofri inequality on Riemannian manifolds

Joint work with G. Jankowiak and M.J. Esteban

Extension to compact Riemannian manifolds of dimension 2...

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We shall also denote byRthe Ricci tensor, by Hgu the Hessian ofu and by

Lgu:=Hgu−g d ∆gu

the trace free Hessian. Let us denote by Mguthe trace free tensor Mgu:=∇u⊗ ∇u−g

d |∇u|2 We define

λ:= inf

uH2(M)\{0}

Z

M

h

kLgu−12Mguk2+R(∇u,∇u)i

eu/2d vg

Z

M|∇u|2eu/2d vg

J. Dolbeault Spectral estimates and entropy methods

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Theorem

Assume that d = 2andλ>0. If u is a smooth solution to

−1

2∆gu+λ=eu then u is a constant function if λ∈(0, λ) The Moser-Trudinger-Onofri inequality onM

1

4k∇uk2L2(M)+λ Z

M

u d vg≥λlog Z

M

eud vg

∀u∈H1(M) for some constantλ >0. Let us denote byλ1the first positive eigenvalue of−∆g

Corollary

If d = 2, then the MTO inequality holds withλ= Λ := min{4π, λ}. Moreover, if Λis strictly smaller thanλ1/2, then the optimal constant in the MTO inequality is strictly larger thanΛ

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The flow

∂f

∂t = ∆g(ef/2)−12|∇f|2ef/2

Gλ[f] :=

Z

MkLgf −12Mgf k2ef/2d vg+ Z

M

R(∇f,∇f)ef/2d vg

−λ Z

M|∇f|2ef/2d vg

Then for any λ≤λ we have d

dtFλ[f(t,·)] = Z

M

12gf +λ

g(e−f/2)−12|∇f|2e−f/2 d vg

=− Gλ[f(t,·)]

Since Fλ is nonnegative andlimt→∞Fλ[f(t,·)] = 0, we obtain that Fλ[u]≥

Z

0 Gλ[f(t,·)]dt

J. Dolbeault Spectral estimates and entropy methods

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Weighted Moser-Trudinger-Onofri inequalities on the two-dimensional Euclidean space

On the Euclidean spaceR2, given a general probability measureµ does the inequality

1 16π

Z

R2

|∇u|2dx≥λ

log Z

R2

eu

− Z

R2

u dµ

hold for someλ >0? Let

Λ:= inf

x∈R2

−∆ logµ 8π µ Theorem

Assume that µis a radially symmetric function. Then any radially symmetric solution to the EL equation is a constant if λ <Λand the inequality holds withλ= Λ if equality is achieved among radial functions

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Spectral estimates on the cylinder

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

J. Dolbeault Spectral estimates and entropy methods

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Spectral estimates and the symmetry breaking problem on the cylinder

Let(M,g)be a smooth compact connected Riemannian manifold of dimensiond−1(no boundary) with volg(M) = 1, and let

C:=R×M∋x = (s,z)

be the cylinder. λM1 is the lowest positive eigenvalue of the Laplace-Beltrami operator,κ:= infMinfξSd−2Ric(ξ , ξ)

⊲Is

Λ(µ) := sup

λC1[V] :V ∈Lq(C), kVkLq(C)=µ equal to

Λ(µ) := sup

λR1[V] :V ∈Lq(R, kVkLq(R)=µ ?

−λC1[V] is the lowest eigenvalue of−∂s2−∆g−V and−∂s2−V onC

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The Keller-Lieb-Thirring inequality on the line

Assume thatq∈(1,+∞),β =22qq11:=q(q−1) πΓ(q) Γ(q+1/2)

1/q . Λ(µ) = (q−1)2 µ/µ1β

∀µ >0,

IfV is a nonnegative real valued potential in Lq(R), then we have λR1[V]≤Λ(kVkLq(R)) where Λ(µ) = (q−1)2 µ

µ1

β

∀µ >0 and equality holds if and only if, up to scalings, translations and multiplications by a positive constant,

V(s) = q(q−1)

(coshs)2 =:V1(s) ∀s∈R

where kV1kLq(R)1R1[V1] = (q−1)2 andϕ(s) = (coshs)1q

J. Dolbeault Spectral estimates and entropy methods

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