ON THE BEST CONSTANT IN GAFFNEY INEQUALITY. Bernard DACOROGNA. EPFL - Lausanne - Suisse. avec G. CSATO et S. SIL

Similar documents
On Friedrichs inequality, Helmholtz decomposition, vector potentials, and the div-curl lemma. Ben Schweizer 1

Extension and Representation of Divergence-free Vector Fields on Bounded Domains. Tosio Kato, Marius Mitrea, Gustavo Ponce, and Michael Taylor

On the Maxwell Constants in 3D

NON-STANDARD PARTIAL INTEGRATION: IMPLICATIONS TO MAXWELL AND KORN INEQUALITIES OR HOW ONE CANNOT APPLY THE CLOSED GRAPH THEOREM!

A Remark on the Regularity of Solutions of Maxwell s Equations on Lipschitz Domains

L p Theory for the div-curl System

EXISTENCE AND REGULARITY OF SOLUTIONS FOR STOKES SYSTEMS WITH NON-SMOOTH BOUNDARY DATA IN A POLYHEDRON

SCHRIFTENREIHE DER FAKULTÄT FÜR MATHEMATIK. On Maxwell s and Poincaré s Constants. Dirk Pauly SM-UDE

A generalised Ladyzhenskaya inequality and a coupled parabolic-elliptic problem

SHARP BOUNDARY TRACE INEQUALITIES. 1. Introduction

On the spectrum of the Hodge Laplacian and the John ellipsoid

Poincaré Duality Angles on Riemannian Manifolds with Boundary

Numerical approximation of output functionals for Maxwell equations

Inequalities of Babuška-Aziz and Friedrichs-Velte for differential forms

Scalar curvature and the Thurston norm

Problem of Second grade fluids in convex polyhedrons

On Friedrichs constant and Horgan-Payne angle for LBB condition

Approximation of the LBB constant on corner domains

An introduction to Birkhoff normal form

Static Maxwell Type Problems: Functional A Posteriori Error Estimates and Estimates for the Maxwell Constant in 3D. Dirk Pauly

Linear Analysis Lecture 5

Overlapping Schwarz Preconditioners for Spectral. Problem in H(curl)

Optimal regularity and control of the support for the pullback equation

LECTURE 1: SOURCES OF ERRORS MATHEMATICAL TOOLS A PRIORI ERROR ESTIMATES. Sergey Korotov,

Partial regularity for fully nonlinear PDE

THE L 2 -HODGE THEORY AND REPRESENTATION ON R n

SPECTRAL PROPERTIES OF THE LAPLACIAN ON BOUNDED DOMAINS

Calderón-Zygmund inequality on noncompact Riem. manifolds

1. Plurisubharmonic functions and currents The first part of the homework studies some properties of PSH functions.

LECTURE 9: MOVING FRAMES IN THE NONHOMOGENOUS CASE: FRAME BUNDLES. 1. Introduction

STOKES PROBLEM WITH SEVERAL TYPES OF BOUNDARY CONDITIONS IN AN EXTERIOR DOMAIN

A variation on the infsup condition

arxiv: v1 [math.ap] 21 Oct 2016

ELLIPTIC PARTIAL DIFFERENTIAL EQUATIONS EXERCISES I (HARMONIC FUNCTIONS)

Brunn Minkowski Theory in Minkowski space-times. François Fillastre Université de Cergy Pontoise France

Heat kernels of some Schrödinger operators

Centre for Mathematics and Its Applications The Australian National University Canberra, ACT 0200 Australia. 1. Introduction

Maximum-norm stability of the finite element Stokes projection

L p Functions. Given a measure space (X, µ) and a real number p [1, ), recall that the L p -norm of a measurable function f : X R is defined by

Γ-convergence of functionals on divergence-free fields

Microlocal Methods in X-ray Tomography

On John type ellipsoids

A NOTE ON THE LADYŽENSKAJA-BABUŠKA-BREZZI CONDITION

New estimates for the div-curl-grad operators and elliptic problems with L1-data in the whole space and in the half-space

Appendix A Functional Analysis

Hardy spaces associated to operators satisfying Davies-Gaffney estimates and bounded holomorphic functional calculus.

MATH Final Project Mean Curvature Flows

Spectral element discretization of the vorticity, velocity and pressure formulation of the Navier Stokes problem

RANDOM FIELDS AND GEOMETRY. Robert Adler and Jonathan Taylor

New Helmholtz-Weyl decomposition in L r and its applications to the mathematical fluid mechanics

A PDE VERSION OF THE CONSTANT VARIATION METHOD AND THE SUBCRITICALITY OF SCHRÖDINGER SYSTEMS WITH ANTISYMMETRIC POTENTIALS.

Lecture 4: Harmonic forms

Introduction and Preliminaries

FINITE ENERGY SOLUTIONS OF MIXED 3D DIV-CURL SYSTEMS

Numerical Solutions to Partial Differential Equations

MATH 4030 Differential Geometry Lecture Notes Part 4 last revised on December 4, Elementary tensor calculus

Geometry for Physicists

Hölder regularity for Maxwell's equations under minimal assumptions on the coefficients

Gradient Estimates and Sobolev Inequality

INTEGRATION ON MANIFOLDS and GAUSS-GREEN THEOREM

Philippe. Functional Analysis with Applications. Linear and Nonlinear. G. Ciarlet. City University of Hong Kong. siajtl

A priori error analysis of the BEM with graded meshes for the electric eld integral equation on polyhedral surfaces

BERGMAN KERNEL ON COMPACT KÄHLER MANIFOLDS

Functional Analysis. Franck Sueur Metric spaces Definitions Completeness Compactness Separability...

Functional Analysis HW #5

Sobolevology. 1. Definitions and Notation. When α = 1 this seminorm is the same as the Lipschitz constant of the function f. 2.

Lecture # 3 Orthogonal Matrices and Matrix Norms. We repeat the definition an orthogonal set and orthornormal set.

Devoir 1. Valerio Proietti. November 5, 2014 EXERCISE 1. z f = g. supp g EXERCISE 2

LORENTZ SPACE ESTIMATES FOR VECTOR FIELDS WITH DIVERGENCE AND CURL IN HARDY SPACES

A NONCONFORMING PENALTY METHOD FOR A TWO DIMENSIONAL CURL-CURL PROBLEM

Notions such as convergent sequence and Cauchy sequence make sense for any metric space. Convergent Sequences are Cauchy

NATIONAL UNIVERSITY OF SINGAPORE. Department of Mathematics. MA4247 Complex Analysis II. Lecture Notes Part IV

Optimization Theory. A Concise Introduction. Jiongmin Yong

The Dirichlet s P rinciple. In this lecture we discuss an alternative formulation of the Dirichlet problem for the Laplace equation:

Poisson Equation on Closed Manifolds

The De Giorgi-Nash-Moser Estimates

A generic property of families of Lagrangian systems

ON THE REGULARITY OF SAMPLE PATHS OF SUB-ELLIPTIC DIFFUSIONS ON MANIFOLDS

Analysis in weighted spaces : preliminary version

ABSTRACT CONDITIONAL EXPECTATION IN L 2

EXISTENCE THEORY FOR HARMONIC METRICS

CS 468. Differential Geometry for Computer Science. Lecture 13 Tensors and Exterior Calculus

Variational Inequalities. Anna Nagurney Isenberg School of Management University of Massachusetts Amherst, MA 01003

DIV-CURL TYPE THEOREMS ON LIPSCHITZ DOMAINS Zengjian Lou. 1. Introduction

Geometric bounds for Steklov eigenvalues

ELEMENTARY PROPERTIES OF ANALYTIC FUNCTIONS OF SEVERAL VARIABLES

Follow links Class Use and other Permissions. For more information, send to:

Risk Measures in non-dominated Models

LARGE DEVIATIONS OF TYPICAL LINEAR FUNCTIONALS ON A CONVEX BODY WITH UNCONDITIONAL BASIS. S. G. Bobkov and F. L. Nazarov. September 25, 2011

Problems of Corner Singularities

The oblique derivative problem for general elliptic systems in Lipschitz domains

Existence of 1-harmonic map flow

HARDY SPACE OF EXACT FORMS ON R N

RICCI CURVATURE: SOME RECENT PROGRESS A PROGRESS AND OPEN QUESTIONS

BEST APPROXIMATIONS AND ORTHOGONALITIES IN 2k-INNER PRODUCT SPACES. Seong Sik Kim* and Mircea Crâşmăreanu. 1. Introduction

MIXED FINITE ELEMENT APPROXIMATION OF THE VECTOR LAPLACIAN WITH DIRICHLET BOUNDARY CONDITIONS

Generalized Korn s inequality and conformal Killing vectors

Assignment 1: From the Definition of Convexity to Helley Theorem

Transcription:

ON THE BEST CONSTANT IN GAFFNEY INEQUALITY Bernard DACOROGNA EPFL - Lausanne - Suisse avec G. CSATO et S. SIL à paraître dans Journal of Functional Analysis (2018) En l honneur des 60 ans de Jérôme Pousin

GAFFNEY inequality for vector fields states that there exists a constant C = C (Ω) > 0 such that for every vector field u W 1,2 (Ω; R n ) u 2 L 2 C ( curl u 2 L 2 + div u 2 L 2 + u 2 L 2 ) where, on Ω, either ν u = 0 (i.e. u is parallel to ν and we write then u W 1,2 T ν u = 0 (Ω; Rn )) or (i.e. u is orthogonal to ν and we write then u W 1,2 N (Ω; Rn )).

GAFFNEY inequality Let 0 k n and Ω R n be a bounded open smooth set. Then there exists a constant C = C (Ω, k) > 0 such that ω 2 L 2 C ( dω 2 L 2 + δω 2 L 2 + ω 2 L 2 ) for every ω W 1,2 T ( Ω; Λ k ) W 1,2 N ( Ω; Λ k ).

Define ( stands for the L 2 norm) C T (Ω, k) = C N (Ω, k) = It is easy to see that sup ω W 1,2 T \{0} sup ω W 1,2 N \{0} { { ω 2 dω 2 + δω 2 + ω 2 ω 2 dω 2 + δω 2 + ω 2 C T (Ω, k), C N (Ω, k) 1. } } The cases k = 0 and k = n are trivial and C T = C N = 1. The discussion deals with the case 1 k n 1 (k = 1 is the case of vector fields).

Bibliography - Gaffney (1951) for manifolds without boundary - For manifolds with boundary: Friedrichs (1955), Morrey and Morrey-Eells (1956). - Bolik (in L p and in Hölder spaces), Csató-Dacorogna-Kneuss, Iwaniec-Martin, Iwaniec-Scott-Stroffolini (in L p ), Mitrea, Mitrea-Mitrea, Schwarz, Taylor, von Wahl. - For vector fields in dimension 2 and 3 : Amrouche-Bernardi-Dauge-Girault, Costabel, Dautray-Lions, Desvillettes-Villani.

A stronger version (in fact a regularity result) of Gaffney inequality is ω 2 C ( dω 2 + δω 2 + ω 2), ω W d,δ,2 ( T Ω; Λ k ) (and similarly with T replaced by N) where ω W d,δ,2 T ( Ω; Λ k ) = ω L 2 ( Ω; Λ k) : For smooth or convex Lipschitz domains dω L 2 ( Ω; Λ k+1) δω L 2 ( Ω; Λ k 1) ν ω = 0 on Ω. W d,δ,2 T ( Ω; Λ k ) = W 1,2 T For non-convex Lipschitz domains, in general, ( Ω; Λ k ). W 1,2 T = W d,δ,2 T.

Bibliography (for the stronger version) - Mitrea, Mitrea-Mitrea - For vector fields in dimension 2 and 3 : Amrouche-Bernardi-Dauge-Girault, Ben Belgacem-Bernardi-Costabel-Dauge, Ciarlet-Hazard-Lohrengel, Costabel, Costabel-Dauge, Girault-Raviart.

Plan of the talk I) The main theorem II) Some examples III) The case of polytopes IV) Idea of proof

I) The main theorem Definition Let Ω R n be an open smooth set and Σ = Ω be the associated (n 1) surface. Let γ 1,, γ n 1 be the principal curvatures of Σ. Let 1 k n 1. We say that Ω is k-convex if γ i1 + + γ ik 0 for every 1 i 1 < < i k n 1.

Remark (i) When k = 1 : Ω is convex if and only if Ω is 1-convex, i.e. γ i 0 for every 1 i n 1. The result is due to Hadamard and to Chern-Lashof. (ii) When k = n 1 : Ω is (n-1)-convex if and only if the mean curvature of Σ = Ω is non-negative, i.e. γ 1 + + γ n 1 0.

Theorem Let Ω R n be a bounded open smooth set and 1 k n 1. Then the following statements are equivalent. (i) C T (Ω, k) = 1 (i.e. ω 2 dω 2 + δω 2 + ω 2 ) (ii) The sharper version of Gaffney inequality holds, namely ω 2 dω 2 + δω 2, ω W 1,2 ( T Ω; Λ k ). (iii) Ω is (n k) convex. (iv) The supremum is not attained. (v) C T is scale invariant, namely, for every t > 0 C T (t Ω, k) = C T (Ω, k).

Remark (i) Similar results for N, since C T (Ω, k) = C N (Ω, n k). (ii) When k = 1, we have the equivalence between - C T (Ω, 1) = 1 (i.e. ω 2 curl ω 2 + div ω 2 + ω 2 ) - The sharper version of Gaffney inequality ω 2 curl ω 2 + div ω 2, ω W 1,2 T (Ω; Rn ) - Ω is (n 1) convex i.e. the mean curvature of Σ = Ω is non-negative, meaning that γ 1 + + γ n 1 0.

(iii) Still when k = 1, since C T (Ω, 1) = C N (Ω, n 1) - C N (Ω, 1) = 1 (i.e. ω 2 curl ω 2 + div ω 2 + ω 2 ) - The sharper version of Gaffney inequality - Ω is convex i.e. ω 2 curl ω 2 + div ω 2, ω W 1,2 N (Ω; Rn ) γ 1,, γ n 1 0.

II) Some examples Proposition Let 1 k n 1. Then there exists a set Ω k B (a fixed ball of R n ) such that C T (Ω k, k) is arbitrarily large (and similarly for C N ). Proof (k = 1) Choose Ω 1 an annulus with very small inner radius. choose ω (x) = x x n Then and observe that ν ω = 0 on Ω 1 and it is a harmonic field i.e. dω = 0 and δω = 0. Then [ ω 2 / ω 2] as the inner radius 0.

III) The case of Polytopes Definition Ω R n is said to be a generalized polytope, if there exist Ω 0, Ω 1,, Ω M bounded open polytopes such that, for every i, j = 1,, M with i j, Ω i Ω 0, Ω i Ω j = and Ω = Ω 0 \ In this case Ω i, i = 1,, M, are called the holes. ( ) M Ω i i=1 Theorem Let Ω R n be a generalized polytope. Then the following identity holds. ω 2 = dω 2 + δω 2, ω C 1 T ( Ω; Λ k ) C 1 N ( Ω; Λ k ).

Remark In particular if ω C 1 T C1 N is a harmonic field i.e. dω = 0 and δω = 0, then ω 0 independently of the topology!!!

IV) Idea of proof We discuss only the case k = 1 (i.e. d curl and δ div). Recall that (i) C T (Ω, 1) = 1 (i.e. ω 2 dω 2 + δω 2 + ω 2 ) (ii) The sharper version of Gaffney inequality holds, namely ω 2 dω 2 + δω 2, ω W 1,2 T (Ω; Rn ). (iii) Ω is (n 1) convex i.e. γ 1 + + γ n 1 0. The implication (ii) (i) is trivial and we discuss only (iii) (ii).

For k = 1 we have curl ω 2 + div ω 2 ω 2 = 2 i<j ( ω i ω j ωj ω i x i x j x i x j ) Integrating the above we get, for every ω W 1,2 ( Ω; Λ k ), Ω ( curl ω 2 + div ω 2 ω 2 ) = Ω T ( ) ω; ν 2 γ1 + + γ n 1