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
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
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
An introduction to Lieb-Thirring inequalities
Consider the Schr¨odinger operatorH=−∆−V onRd and denote by (λk)k≥1its eigenvalues
Euclidean case[Keller, 1961]
|λ1|γ ≤L1γ,d Z
Rd
V+γ+d2
[Lieb-Thirring, 1976]
X
k≥1
|λk|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
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,
|λ1(−∆−V)| ≤α kVkLp(Sd)
∀V ∈Lp(Sd)
This estimate is optimal For large values ofµ, we have
α(µ)p−d2 =L1p−d
2,d(κq,dµ)p(1 +o(1))
If p =d/2 and d≥3, the inequality holds withα(µ) =µiff µ∈[0, µ∗]
A Keller-Lieb-Thirring inequality: second formulation
Letd ≥1,γ=p−d/2
Corollary (Dolbeault-Esteban-Laptev)
|λ1(−∆−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
|λ1(−∆−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.
|λ1(−∆−φ)|γ ≤L1γ,d
Z
Rd
φγ++ d2 dx
J. Dolbeault Spectral estimates and entropy methods
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
! " # $ %& %! %"
!
"
#
$
%&
%!
%"
α µ
µ=µ(α)
µ=α µ=µ±(α) µ=µasymp(α)
J. Dolbeault Spectral estimates and entropy methods
µasymp(α) :=Kκq,d
q,d α1−ϑ,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...
Another inequality
Letd ≥1 andγ >d/2and assume that L1−γ,d is the optimal constant in
λ1(−∆ +φ)−γ ≤L1−γ,d Z
Rd
φd2−γ dx q= 2 2γ−d
2γ−d+ 2 and p= q
2−q =γ−d 2 Theorem (Dolbeault-Esteban-Laptev)
λ1(−∆ +W)−γ
.L1−γ,d Z
Sd
Wd2−γ as β=kW−1k−1
Lγ−d2(Sd) → ∞ However, if γ≥ d2 + 1andβ=kW−1k−1
Lγ−d2(Sd)≤ 14d(2γ−d+ 2) λ1(−∆ +W)d2−γ
≤ Z
Sd
Wd2−γ and this estimate is optimal
J. Dolbeault Spectral estimates and entropy methods
K∗q,d is the optimal constant in the Gagliardo-Nirenberg-Sobolev inequality
K∗q,dkvk2L2(Rd) ≤ k∇vk2L2(Rd)+kvk2Lq(Rd) ∀v ∈H1(Rd) and L1−γ,d :=
K∗q,d−γ
withq= 222γγ−d+2−d ,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∈ 0,2−dq
if q∈[1,2) ν(β) = K∗q,d (κq,dβ)δ (1 +o(1)) as β→+∞ such that
k∇uk2L2(Sd)+βkuk2Lq(Sd)≥ν(β)kuk2L2(Sd) ∀u∈H1(Sd)
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 someα0∈d
2(p−1),d2p
, andξ(α)∼α1−2dp 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) e−λ1(−∆−W)/α≤ α
ξ(α) Z
Sd
e−p W/αd vg
1/p
J. Dolbeault Spectral estimates and entropy methods
Interpolation inequalities on the sphere
Joint work with M.J. Esteban, M. Kowalczyk and M. Loss
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∗= d2d−2 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
Stereographic projection
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
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)
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
u∈H1(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
Schwarz symmetrization and the ultraspherical setting
(ξ0, ξ1, . . . ξd)∈Sd,ξd =z, Pd
i=0|ξi|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)|pdσ 2p
• Change of variablesz = cosθ,v(θ) =f(z) p−2
d Z 1
−1|f′|2νdνd+ Z 1
−1|f|2dνd ≥ Z 1
−1|f|pdνd
2p
where νd(z)dz =dνd(z) :=Zd−1νd2−1dz,ν(z) := 1−z2
The ultraspherical operator
With dνd=Zd−1νd2−1dz, ν(z) := 1−z2, consider the space L2((−1,1),dνd)with scalar product
hf1,f2i= Z 1
−1
f1f2dνd, kfkp= Z 1
−1
fp dνd
p1
The self-adjointultraspherical operator is
Lf := (1−z2)f′′−d z f′=νf′′+d 2 ν′f′ which satisfieshf1,Lf2i=−R1
−1f1′f2′ν 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
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
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
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
ν2dνd
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∗
... up to the critical exponent: a proof in two slides
d dz,L
u= (Lu)′− Lu′ =−2z u′′−d u′
Z 1
−1
(Lu)2dνd = Z 1
−1|u′′|2ν2dνd+d Z 1
−1|u′|2ν dνd Z 1
−1
(Lu)|u′|2
u νdνd = d d+ 2
Z 1
−1
|u′|4
u2 ν2dνd−2d−1 d+ 2
Z 1
−1
|u′|2u′′
u ν2dνd
On (−1,1), let us consider the porous medium (fast diffusion)flow ut=u2−2β
Lu+κ|u′|2 u ν
Ifκ=β(p−2) + 1, the Lp norm is conserved d
dt Z 1
−1
uβpdνd =βp(κ−β(p−2)−1) Z 1
−1
uβ(p−2)|u′|2ν dνd= 0
J. Dolbeault Spectral estimates and entropy methods
f =uβ,kf′k2L2(Sd)+p−d2
kfk2L2(Sd)− kfk2Lp(Sd)
≥0 ?
A:=
Z 1
−1|u′′|2ν2dνd−2d−1
d+ 2(κ+β−1) Z 1
−1
u′′|u′|2 u ν2dνd
+
κ(β−1) + d
d+ 2(κ+β−1) Z 1
−1
|u′|4 u2 ν2dνd
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
ν2dνd≥0 ifp= 2∗andβ = 4 6−p
The rigidity point of view
Which computation have we done ? ut=u2−2β
Lu+κ|uu′|2ν
− Lu−(β−1)|u′|2
u ν+ λ
p−2u= λ p−2uκ Multiply by Luand integrate
...
Z 1
−1Lu uκdνd=−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
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
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−Φ−1(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
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
w2 dνd ≤ −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)
Nonlinear flow: the H¨older estimate of J. Demange
wt =w2−2β
Lw+κ|w′|2 w
For allp∈[1,2∗],κ=β(p−2) + 1, dtd R1
−1wβpdνd = 0
−2β12 dtd R1
−1
|(wβ)′|2ν+p−d2 w2β−w2β
dνd ≥γR1
−1
|w′|4 w2 ν2dνd
Lemma
For all w ∈H1 (−1,1),dνd
, such thatR1
−1wβpdνd = 1 Z 1
−1
|w′|4
w2 ν2dνd ≥ 1 β2
R1
−1|(wβ)′|2νdνdR1
−1|w′|2ν dνd
R1
−1w2βdνd
δ .... but there are conditions on β
J. Dolbeault Spectral estimates and entropy methods
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
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
One-dimensional Gagliardo-Nirenberg-Sobolev inequalities
kfkLp(R)≤CGN(p)kf′kθL2(R)kfk1L−2(θR) if p∈(2,∞) kfkL2(R) ≤CGN(p)kf′kηL2(R)kfk1L−p(ηR) if p∈(1,2) withθ= p2−p2 andη=22+p−p
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
ku′k2L2 (R) kuk2L2 (R)
Ifp>2,u⋆(x) = (coshx)−p−22 solves
−(p−2)2u′′+ 4u−2p|u|p−2u= 0 Ifp∈(1,2)consider u∗(x) = (cosx)2−2p,x∈(−π/2, π/2)
Flow
Let us define on H1(R)the functional F[v] :=kv′k2L2(R)+ 4
(p−2)2kvk2L2(R)−Ckvk2Lp(R) s.t.F[u⋆] = 0 With z(x) := tanhx, consider theflow
vt= v1−p2
√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
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|2dνd ≥ 2p (p−2)2
Z 1
−1|f|pdνd
2 p
where dνp denotes the probability measuredνp(z) :=ζ1
pνp−22 dz d= p2−p2 ⇐⇒ p=d2d−2
Change of variables = stereographic projection + Emden-Fowler
J. Dolbeault Spectral estimates and entropy methods
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
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,λ1=λ1(−∆g)
ρ:= inf
M inf
ξ∈Sd−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
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 λ⋆=λ1=dρ/(d−1) =d ifM=Sd sinceρ=d−1
(1−θ)λ1+θ dρ
d−1 ≤λ⋆≤λ1
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
u∈H2(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
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)−p−λ2 h
kvk2Lp(M)− kvk2L2(M)
i under the constraintkvkLp(M)= 1is negative ifλ > λ1
The flow
The key tools the flow ut =u2−2β
∆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
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)
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
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
u −gd |∇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
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 ab2−a witha = 2−p+h(d
−1) (p−1) d+2
i2
andb = d+3d+2−p 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
2β2 d
dtF[u]≤(λ−Λ⋆) Z
M
|∇u|2d vg
J. Dolbeault Spectral estimates and entropy methods
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.
Manifolds: the first interpolation inequality
Let us define
κ:=volg(M)1−2/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≤qΛ−2,µ(α)< κ αforα > q−Λ2 and
k∇uk2L2(M)+αkuk2L2(M)≥µ(α)kuk2Lq(M) ∀u∈H1(M) The asymptotic behaviour ofµis given byµ(α)∼Kq,dα1−ϑ as α→+∞, withϑ=dq2q−2 andKq,d defined by
Kq,d := inf
v∈H1(Rd)\{0}
k∇vk2L2(Rd)+kvk2L2(Rd)
kvk2Lq(Rd)
J. Dolbeault Spectral estimates and entropy methods
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
|λ1(−∆g−V)| ≤α kVkLp(M)
Moreover, we have α(µ)p−d2 =L1γ,dµp(1 +o(1))asµ→+∞with L1γ,d := (Kq,d)−p,γ=p−d2
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
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...
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
u∈H2(M)\{0}
Z
M
h
kLgu−12Mguk2+R(∇u,∇u)i
e−u/2d vg
Z
M|∇u|2e−u/2d vg
J. Dolbeault Spectral estimates and entropy methods
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
The flow
∂f
∂t = ∆g(e−f/2)−12|∇f|2e−f/2
Gλ[f] :=
Z
MkLgf −12Mgf k2e−f/2d vg+ Z
M
R(∇f,∇f)e−f/2d vg
−λ Z
M|∇f|2e−f/2d vg
Then for any λ≤λ⋆ we have d
dtFλ[f(t,·)] = Z
M
−12∆gf +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
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
eudµ
− 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 <Λ⋆and the inequality holds withλ= Λ⋆ if equality is achieved among radial functions
Spectral estimates on the cylinder
Joint work with M.J. Esteban and M. Loss
J. Dolbeault Spectral estimates and entropy methods
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:= infMinfξ∈Sd−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
The Keller-Lieb-Thirring inequality on the line
Assume thatq∈(1,+∞),β =22qq−1,µ1:=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) =µ1,λR1[V1] = (q−1)2 andϕ(s) = (coshs)1−q
J. Dolbeault Spectral estimates and entropy methods