4
JID:CRASS1 AID:5221 /FLA [m3G; v 1.120; Prn:19/12/2013; 12:01] P.1(1-4) C. R. Acad. Sci. Paris, Ser. I ••• (••••) •••••• Contents lists available at ScienceDirect C. R. Acad. Sci. Paris, Ser. I www.sciencedirect.com Functional analysis/Probability theory A refinement of the Brascamp–Lieb–Poincaré inequality in one dimension Ionel Popescu a,b,1 a School of Mathematics, Georgia Institute of Technology, 686 Cherry Street, Atlanta, GA 30332, USA b “Simion Stoilow” Institute of Mathematics of Romanian Academy, 21 Calea Grivi¸ tei, Bucharest, Romania article info abstract Article history: Received 3 November 2013 Accepted after revision 20 November 2013 Available online xxxx Presented by Jean-Pierre Kahane In this short note, we give a refinement of the Brascamp–Lieb inequality in the style of the Houdré–Kagan extension for the Poincaré inequality in one dimension. This is inspired by works by Helffer and by Ledoux. © 2013 Published by Elsevier Masson SAS on behalf of Académie des sciences. résumé Dans cette brève Note, on donne un raffinement de l’inégalité de Brascamp–Lieb [1] dans le style de l’extension de Houdré–Kagan [3] pour l’inégalité de Poincaré en une dimension. Cette Note est inspirée par les travaux de Helffer et de Ledoux. © 2013 Published by Elsevier Masson SAS on behalf of Académie des sciences. 1. The Brascamp–Lieb inequality We take a convex potential V : R R which is C k with k 2 and the measure μ(dx) = e V (x) dx which we assume to be a probability measure on R. Theorem 1. (See Brascamp and Lieb [1].) If V > 0, then for any C 2 compactly supported function f on the real line: Var μ (φ) ( f ) 2 V dμ. (1.1) One of the proofs is due to Helffer [2] and we sketch it here as it were the starting point of our approach. Consider the operator L acting on C 2 functions, given by: L =−D 2 + V D with Dφ = φ . We denote ·, · the L 2 (μ) inner product and observe that: Lφ,φ= φ 2 . In particular, L can be extended to an unbounded non-negative operator on L 2 (μ). From this, we get: Lφ 2 = DLφ, Dφ (1.2) E-mail addresses: [email protected], [email protected]. 1 The author was partially supported by a grant of the Romanian National Authority for Scientific Research, CNCS – UEFISCDI, project number PN-II-RU- TE-2011-3-0259 and by European Union Marie Curie Action Grant PIRG.GA.2009.249200. 1631-073X/$ – see front matter © 2013 Published by Elsevier Masson SAS on behalf of Académie des sciences. http://dx.doi.org/10.1016/j.crma.2013.11.013

A refinement of the Brascamp–Lieb–Poincaré inequality in one dimension

  • Upload
    ionel

  • View
    213

  • Download
    0

Embed Size (px)

Citation preview

JID:CRASS1 AID:5221 /FLA [m3G; v 1.120; Prn:19/12/2013; 12:01] P.1 (1-4)

C. R. Acad. Sci. Paris, Ser. I ••• (••••) •••–•••

Contents lists available at ScienceDirect

C. R. Acad. Sci. Paris, Ser. I

www.sciencedirect.com

Functional analysis/Probability theory

A refinement of the Brascamp–Lieb–Poincaré inequality in onedimension

Ionel Popescu a,b,1

a School of Mathematics, Georgia Institute of Technology, 686 Cherry Street, Atlanta, GA 30332, USAb “Simion Stoilow” Institute of Mathematics of Romanian Academy, 21 Calea Grivitei, Bucharest, Romania

a r t i c l e i n f o a b s t r a c t

Article history:Received 3 November 2013Accepted after revision 20 November 2013Available online xxxx

Presented by Jean-Pierre Kahane

In this short note, we give a refinement of the Brascamp–Lieb inequality in the style of theHoudré–Kagan extension for the Poincaré inequality in one dimension. This is inspired byworks by Helffer and by Ledoux.

© 2013 Published by Elsevier Masson SAS on behalf of Académie des sciences.

r é s u m é

Dans cette brève Note, on donne un raffinement de l’inégalité de Brascamp–Lieb [1] dansle style de l’extension de Houdré–Kagan [3] pour l’inégalité de Poincaré en une dimension.Cette Note est inspirée par les travaux de Helffer et de Ledoux.

© 2013 Published by Elsevier Masson SAS on behalf of Académie des sciences.

1. The Brascamp–Lieb inequality

We take a convex potential V : R → R which is Ck with k � 2 and the measure μ(dx) = e−V (x) dx which we assume tobe a probability measure on R.

Theorem 1. (See Brascamp and Lieb [1].) If V ′′ > 0, then for any C2 compactly supported function f on the real line:

Varμ(φ)�∫

( f ′)2

V ′′ dμ. (1.1)

One of the proofs is due to Helffer [2] and we sketch it here as it were the starting point of our approach.Consider the operator L acting on C2 functions, given by:

L = −D2 + V ′Dwith Dφ = φ′ . We denote 〈·, ·〉 the L2(μ) inner product and observe that:

〈Lφ,φ〉 = ∥∥φ′∥∥2.

In particular, L can be extended to an unbounded non-negative operator on L2(μ). From this, we get:

‖Lφ‖2 = 〈DLφ, Dφ〉 (1.2)

E-mail addresses: [email protected], [email protected] The author was partially supported by a grant of the Romanian National Authority for Scientific Research, CNCS – UEFISCDI, project number PN-II-RU-

TE-2011-3-0259 and by European Union Marie Curie Action Grant PIRG.GA.2009.249200.

1631-073X/$ – see front matter © 2013 Published by Elsevier Masson SAS on behalf of Académie des sciences.http://dx.doi.org/10.1016/j.crma.2013.11.013

JID:CRASS1 AID:5221 /FLA [m3G; v 1.120; Prn:19/12/2013; 12:01] P.2 (1-4)

2 I. Popescu / C. R. Acad. Sci. Paris, Ser. I ••• (••••) •••–•••

and then if we take f a C2 compactly supported function such that∫

f dμ = 0 and replace φ = L−1 f , then we get:

Varμ( f ) = ⟨f ′, DL−1 f

⟩.

Now a simple calculation reveals that:

DL = (L + V ′′)D

and then (L + V ′′)−1 D = DL−1 where the inverses are defined appropriately. Therefore, we get:

Varμ( f ) = ⟨(L + V ′′)−1

f ′, f ′⟩. (1.3)

Since L is a non-negative operator, (L + V ′′)−1 � (V ′′)−1 and this implies (1.1).

2. Refinements in the case of R

We start with (1.3) and iterate it. This is inspired from [4], but without any use of the semigroup theory.We let D be the derivation operator and we denote D∗ = −D + V ′ the adjoint of D with respect to the inner product in

L2(μ). In the sequel, for a given function F , we are going to denote by F also the multiplication operator by F . The maincommutation relations are the content of the following.

Proposition 2. Let A denote the operator defined on smooth positive functions E given by

A(E)(x) = 1

4

(2E ′′(x) + 2V ′(x)E ′(x) − E ′(x)2

E(x)+ 4E(x)V ′′(x)

). (2.1)

(1) If E is a positive function, then

D E D∗ = A(E) + E1/2 D∗D E1/2. (2.2)

(2) For a positive function E,

(E + D∗D

)−1 = E−1 − E−1 D∗(I + D E−1 D∗)−1D E−1. (2.3)

(3) If E is a positive function such that 1 +A(E−1) is positive and F = E(1 +A(E−1)), then

(I + D E−1 D∗)−1 = F −1 E − E1/2 F −1 D∗(I + D F −1 D∗)−1

D F −1 E1/2. (2.4)

Proof. (1) We want to find two functions F and G such that:

D E D∗ = F + G D∗DG.

For this, take a function φ and write:

(D E

(−D + V ′))φ = (E V ′)′

φ + (−E ′ + E V ′)φ′ − Eφ′′

while

Fφ + G(−D + V ′)DGφ = (

F − GG ′′ + GG ′V ′)φ + (G2 V ′ − 2GG ′)φ′ − G2φ′′

therefore it suffices to choose G such that:

G2 = E and F = GG ′′ − GG ′V ′ + (E V ′)′

which means G = E1/2 and F =A(E).(2) We have:

(E + D∗D

)−1 = E−1 − E−1/2(I − (I + E−1/2 D∗D E−1/2)−1)

E−1/2

= E−1 − E−1 D∗(I + D E−1 D∗)−1D E−1

where we used the fact that for any operator T ,

I − (I + T ∗T

)−1 = T ∗(I − T T ∗)−1T .

JID:CRASS1 AID:5221 /FLA [m3G; v 1.120; Prn:19/12/2013; 12:01] P.3 (1-4)

I. Popescu / C. R. Acad. Sci. Paris, Ser. I ••• (••••) •••–••• 3

(3) From (2.2), we know that I + D E−1 D∗ = I +A(E−1) + E−1/2 D∗D E−1/2 = F E−1 + E−1/2 D∗D E−1/2 and from (2.3),

(F E−1 + E−1/2 D∗D E−1/2)−1 = E1/2(F + D∗D

)−1E1/2 = F −1 E − E1/2 F −1 D∗(I + D F −1 D∗)−1

D F −1 E1/2. �Now, let us get back to the fact that L = D∗D and that (1.3) gives:

Varμ( f ) = ⟨(V ′′ + D∗D

)−1f ′, f ′⟩.

From (2.3) with E1 = V ′′ , we obtain first that:

Varμ( f ) = ⟨(V ′′)−1

f ′, f ′⟩ − ⟨(I + D E−1

1 D∗)−1D

[E−1

1 f ′], D[

E−11 f ′]⟩. (2.5)

It is interesting to point out that this provides the case of the equality Brascamp–Lieb if D[(V ′′)−1 f ′] = 0, which can besolved for f = C1 V ′ + C2.

Now we want to continue the inequality in (2.5) by taking E1 = E and using (2.5) for the case where E2 =E1(I +A(E−1

1 )) > 0; thus we go on with:

(I + D E−1

1 D∗)−1 = E−12 E1 − E1/2

1 E−12 D∗(I + D E−1

2 D∗)−1D E−1

2 E1/21 .

Hence we can write by setting f1 = E−11 f ′ and f2 = E1/2

1 D[ f1]

Varμ( f ) = ∥∥E−1/21 f ′∥∥2 − ∥∥E−1/2

2 f2∥∥2 + ⟨(

I + D E−12 D∗)−1

D[

E−12 f2

], D

[E−1

2 f2]⟩.

Using a similar argument, let E3 = E2(1 +A(E−12 )) provided that E3 is positive. Then we can continue with:

(I + D E−1

2 D∗)−1 = I +A(

E−12

) − E1/22 E−1

3 D∗(I + D E−13 D∗)−1

D E−13 E1/2

2

and letting f3 = E1/22 D[ f2], we obtain:

Varμ( f ) = ∥∥E−1/21 f ′∥∥2 − ∥∥E−1/2

2 f2∥∥2 + ∥∥E−1/2

3 f3∥∥2 − ⟨(

I + D E−13 D∗)−1

D[

E−13 f3

], D

[E−1

3 f3]⟩.

By induction, we can define:

E1 = V ′′ and f1 = E−11 f ′ (2.6)

En = En−1(1 +A

(E−1

n−1

))and fn = E1/2

n−1 D[ fn−1]. (2.7)

Notice that here En is defined only if En−1 is defined and positive, and we will assume that the sequence is defined as longas this condition is satisfied. We get the following result.

Theorem 3. If E1, E2, . . . , En are positive functions, then for any compactly supported function f ,

Varμ( f ) = ∥∥E−1/21 f ′∥∥2 − ∥∥E−1/2

2 f2∥∥2 + · · · + (−1)n−1

∥∥E−1/2n fn

∥∥2

+ (−1)n⟨(I + D E−1n D∗)−1

D[

E−1n fn

], D

[E−1

n fn]⟩. (2.8)

In particular, for n even,

Varμ( f )�∥∥E−1/2

1 f ′∥∥2 − ∥∥E−1/22 f2

∥∥2 + · · · + (−1)n−1∥∥E−1/2

n fn∥∥2

and for n odd,

Varμ( f )�∥∥E−1/2

1 f ′∥∥2 − ∥∥E−1/22 f2

∥∥2 + · · · + (−1)n−1∥∥E−1/2

n fn∥∥2

.

For V (x) = x2/2 − log(√

2π) this leads to the following version of Houdré–Kagan inequality [3] due to Ledoux [4].

Corollary 4. For V (x) = x2/2 − log(√

2π ) and f which is Cn with compact support, the following holds true:

Varμ( f ) = ∥∥ f ′∥∥2 − 1

2!∥∥ f ′′∥∥2 + · · · + (−1)n−1

(n − 1)!∥∥ f (n−1)

∥∥2 + (−1)n

(n − 1)!⟨(n + L)−1 f (n), f (n)

⟩.

Another particular case of Theorem 3 is the following reverse-type Brascamp–Lieb inequality.

JID:CRASS1 AID:5221 /FLA [m3G; v 1.120; Prn:19/12/2013; 12:01] P.4 (1-4)

4 I. Popescu / C. R. Acad. Sci. Paris, Ser. I ••• (••••) •••–•••

Corollary 5. Provided that 1 +A((V ′′)−1) > 0, the following holds:

Varμ( f ) �⟨(

V ′′)−1f ′, f ′⟩ − ⟨(

1 +A((

V ′′)−1))−1D

[(V ′′)−1

f ′], D[(

V ′′)−1f ′]⟩.

Furthermore, 1 +A((V ′′)−1) > 0 is equivalent to

3V (3)(x)2 + 8V ′′(x)3 − 2V (4)(x)V ′′(x) − 2V (3)(x)V ′′(x)V ′(x) > 0. (2.9)

For instance, in the case where a,b > 0 and

V (x) = ax2/2 + bx4/4 + C

(where C is the normalizing constant which makes μ a probability), the condition (2.9) reads as:

2a3 − 3ab + (15a2b + 18b2)x2 + 42ab2x4 + 45b3x6 > 0 (∗)

for any x. In particular, for x = 0, this gives 3b < 2a2, which turns out to be enough to guarantee (∗) for any other x. Forthe next corrections, the condition 1 +A(E−1

2 ) > 0 becomes equivalent to:

4a9 − 18a7b + 27a3b3 + (90a8b − 225a6b2 + 504a4b3 + 540a2b4)x2

+ (916a7b2 − 756a5b3 + 4203a3b4 − 162ab5)x4

+ (5563a6b3 + 2172a4b4 + 11124a2b5 + 1944b6)x6 + (

22326a5b4 + 23868a3b5 + 7209ab6)x8

+ (61689a4b5 + 74817a2b6 − 5832b7)x10 + (

117864a3b6 + 109026ab7)x12 + (150741a2b7 + 63180b8)x14

+ 117450ab8x16 + 42525b9x18 > 0

for all x. This turns out to be equivalent to b < 13 (−1 + √

3 )a2. In general, for higher corrections, the condition En > 0appears to be equivalent to a condition of the form b < a2tn for some tn > 0 that is decreasing in n to 0. We do not have asolid proof of this, but some numerical simulations suggest this conclusion.

Another example is the potential V (x) = x2/2 − a log(x2) + C with a > 0, for which condition (2.9) becomes equivalentto:

4a3 − 3ax2 + 12a2x2 + 7ax4 + x6 > 0

for all x. This turns out to be equivalent to a > a0, where a0 is the solution in (0,1) of the equation 108 − 855a + 144a2 +272a3 = 0 and numerically is a0 ≈ 0.129852. For the second-order correction, a numerical simulation indicates that weneed to take a > a1 with a1 ≈ 0.314584. Some numerical approximations suggest that En > 0 is equivalent to a > an withan being an increasing sequence to infinity.

Acknowledgements

The author wants to thank Michel Ledoux for an interesting conversation on this subject and to the reviewer of thispaper for comments which led to its improvement.

References

[1] H.J. Brascamp, E.H. Lieb, On extensions of the Brunn–Minkowski and Prékopa–Leindler theorems, including inequalities for log concave functions, andwith an application to the diffusion equation, J. Funct. Anal. 22 (4) (1976) 366–389.

[2] B. Helffer, Remarks on decay of correlations and Witten Laplacians, Brascamp–Lieb inequalities and semiclassical limit, J. Funct. Anal. 155 (2) (1998)571–586.

[3] C. Houdré, A. Kagan, Variance inequalities for functions of Gaussian variables, J. Theor. Probab. 8 (1) (1995) 23–30.[4] M. Ledoux, L’algèbre de Lie des gradients itérés d’un générateur markovien – Développements de moyennes et entropies, Ann. Sci. Éc. Norm. Super. (4)

28 (4) (1995) 435–460.