The quasi-periodic Frenkel-Kontorova model
|
|
- Clarence Scott
- 5 years ago
- Views:
Transcription
1 The quasi-periodic Frenkel-Kontorova model Philippe Thieullen (Bordeaux) joint work with E. Garibaldi (Campinas) et S. Petite (Amiens) Korean-French Conference in Mathematics Pohang, August 24-28,2015 Pohang, August 24-28,2015 quasi-periodique Frenkel Kontorova 1/32
2 Summary of the talk I. The general problem of minimizing configurations II. Almost periodic and quasi-crystalline models III. Some ideas of the proof Pohang, August 24-28,2015 quasi-periodique Frenkel Kontorova 2/32
3 I. The general problem of minimizing configurations Pohang, August 24-28,2015 quasi-periodique Frenkel Kontorova 3/32
4 I.1. General problem Notations Consider a discrete path in R d : (x n ) x Z (chain of atoms) Choose a discrete action E(x, y) : R d R d R (energy interaction between two consecutive atoms) Define the total action of the path E tot := n Z E(x n, x n+1 ) Problem Find a bi-infinite path which minimizes the total action Pohang, August 24-28,2015 quasi-periodique Frenkel Kontorova 4/32
5 I.2. Three examples The periodic 1D Frenkel-Kontorova model E(x, y) = 1 2 y x λ 2 + K ( 1 cos(2πx) ) = W λ (y x) + V (x) λ: distance at rest when there is no external interaction W λ (x, y) = W 0 (x, y) λ(y x) + cte: elastic internal interaction V (x): periodic external interaction The almost periodic 1D Frenkel Kontorova E(x, y) = 1 2 y x λ 2 + K 1 ( 1 cos(2πx1) ) + K2 ( 1 cos(2πx 2) ) The quasicrystalline 1D model To be explained later Pohang, August 24-28,2015 quasi-periodique Frenkel Kontorova 5/32
6 1.3. Minimizing configurations In the weak sense A configuration (x n ) n Z is said to be minimizing (in the weak sense) if for any finite sub-path (x m, x m+1,..., x n ) define the total action of the sub-path: E(x m,..., x n ) := n k=m+1 E(x k 1, x k ) by fixing the two endpoints x m and x n, the total action of the sub-path can only increase: let (y m, y m+1,..., y n ) be another finite path, with y m = x m and y n = x n, then E(x m,..., x n ) E(y m,..., y n ) Pohang, August 24-28,2015 quasi-periodique Frenkel Kontorova 6/32
7 1.4. Calibrated configurations Remark The notion of minimizing configurations is close to the notion of minimal geodesics E(x, y) plays the role of the distance (or a cost) But there is no reason to ask E(x, y) 0 and E(x, y) = 0 x = y a normalizing factor Ē R has to be introduce Minimizing in the strong sense A configuration (x n ) n Z is minimizing if for any finite path (x m, x m+1,..., x n ) by fixing the two endpoints x m and x n if (y k, y k+1,..., y l ) is another path, possibly not having the same length, but with the same endpoints y k = x m and y l = x n E(x m,..., x n ) (n m)ē E(y k,..., y l ) (l k)ē A minimizing configuration in the strong sense will be called calibrated Pohang, August 24-28,2015 quasi-periodique Frenkel Kontorova 7/32
8 I.5. Mañé potential The effective action Ē (or Mañé critical value, or mean energy per site, or ground energy) Ē := lim n + 1 inf x 0,...,x n R d n E(x 0,..., x n ) The Mañé potential S(x, y) Given two points x, y R d S(x, y) = inf inf n 1 x=x 0,...,x n=y [ E(x0,..., x n ) nē] Minimizing in the strong sense (x n ) n Z is said to be calibrated if m n, S(x m, x n ) = E(x m,..., x n ) (n m)ē Pohang, August 24-28,2015 quasi-periodique Frenkel Kontorova 8/32
9 I.6. Assumptions for 1D periodic models General hypotheses E(x, y) : R R R is C 2 E(x, y) is translation periodic: E(x, y) is superlinear: E(x, y) is twist E(x + 1, y + 1) = E(x, y) lim inf R + y x R E(x, y) y x = + x, y, E(x, y) x y (x, ) < 0 and E(x, y) (, y) < 0 x y a.e. (check that if E(x, y) = 1 2 (y x)2 then E x y = 1) Pohang, August 24-28,2015 quasi-periodique Frenkel Kontorova 9/32
10 I.7. Main question again Remark Under the hypotheses of translation periodicity, superlineraty and twist Ē = lim n + The Mañé potential S(x, y) = inf 1 inf x 0,...,x n R d n E(x 0,..., x n ) inf n 1 x=x 0,...,x n=y is finite and satisfies S(x, z) S(x, y) + S(y, z) (sub-cocycle) S(x, y) E(x, y) Ē S(x, x) 0 exists and is finite [ E(x0,..., x n ) nē] Question Do there exist calibrated configurations (x n ) n Z? m n E(x m,..., x n ) (n m)ē = S(x m, x n ) Pohang, August 24-28,2015 quasi-periodique Frenkel Kontorova 10/32
11 1.8. Aubry theory for 1D periodic models One-parameter family E λ (x, y) := E(x, y) λ(y x) Aubry theory (1983) λ R Ē(λ) is C1 concave for every λ, there exist calibrated configurations for E λ ; and all calibrated configurations have the same rotation number ρ = x n x m lim n +, m n m = dē dλ (λ) conversely, every ρ is the rotation number of a calibrated configuration for some E λ Pohang, August 24-28,2015 quasi-periodique Frenkel Kontorova 11/32
12 I.9. The original 1D Frenkel-Kontorova E λ,k (x, y) = 1 2 y x 2 λ(y x) + ρ = Ē (λ, K) λ K ( ) (2π) 2 1 cos(2πx) K=3 The system is locked at rational rotation number ρ ρ λ λ Pohang, August 24-28,2015 quasi-periodique Frenkel Kontorova 12/32
13 II. Almost periodic and quasi-crystalline models Pohang, August 24-28,2015 quasi-periodique Frenkel Kontorova 13/32
14 II.1. Example of almost periodic models The almost periodic 1D Frenkel-Kontorova E ω (x, y) = W (y x) + V ω (x) W (y x) = 1 2 y x λ 2 ( V ω (x) = K 1 1 cos 2π(ω1 + x) ) ( + K 2 1 cos(ω2 + x 2) ) Remark In the periodic case there is no need to introduce the space Ω of all phases. In the almost periodic case, it is more appropriate to work with a full family of discrete actions Notations Ω = T 2 = {(ω 1, ω 2 ) : ω i mod 1} the set of all environments τ t : Ω Ω, τ t (ω 1, ω 2 ) := (ω 1 + t, ω 2 + t 2) is minimal V ω (x) = V (τ x (ω)) where V : Ω R and t R, E ω (x+t, y+t) = E τt(ω)(x, y) (translation invariance property) Pohang, August 24-28,2015 quasi-periodique Frenkel Kontorova 14/32
15 II.2.A general almost periodic model Definition An almost periodic model (Ω, {τ t } t R d, L) Ω a compact space τ t : Ω Ω a minimal flow τ s+t = τ s τ t a family of translation-invariant discrete actions x, y, t, R d E ω (x + t, y + t) = E τt(ω)(x, y) we assume actually that E ω (x, y) has a Lagrangian form E ω (x, y) := L(τ x (ω), y x) L(ω, t) : Ω R d R is C 0 in (ω, t) and superlinear in t lim R + inf ω Ω inf L(ω, t) = + t R t Pohang, August 24-28,2015 quasi-periodique Frenkel Kontorova 15/32
16 II.3. A general quasicrystalline model Definition A quasicrystalline model (Ω, {τ t } t R, L) (Ω, {τ t } t R, L) is an almost periodic model (Ω, {τ t }) is minimal and uniquely ergodic d = 1 and (to simplify) L(ω, t) = W (t) + V (ω) E ω (x, y) = W (y x) + V ω (x) and V ω (x) = V (τ x (ω)) V : Ω R is C 0 W is twist: W is C 2 and convex W > 0 a.e. x, y R E ω x y (x, ) < 0 a.e. and E ω (, y) < 0 a.e. x y W (t) W is superlinear: lim = + t + t In addition to the above properties V is locally transversally constant Pohang, August 24-28,2015 quasi-periodique Frenkel Kontorova 16/32
17 II.4. Locally transversally constant The periodic case V L x q 1 V ω (x) V L V L V L x x x x x q 0 0 q 1 q 2 q 3 q 4 α L L L L L x 1 tile L 1 function V L : [0, L] R The quasicrystalline case V S V L V L V L V S V S V S x x x x x x x x q 0 0 q 1 q 2 q 3 q q 5 q x 4 6 q 1 V ω (x) V S S L L S L S S S 2 tiles L,S 2 functions V L : [0, L] R V S : [0, S] R ω = (q n ) n Z ordered along R with minimal complexity Pohang, August 24-28,2015 quasi-periodique Frenkel Kontorova 17/32
18 II.5. Quasicrystals Delone set An ordered subset ω = (qn) n Z R which is uniformly discrete and relatively dense Finite complexity There is a finite number of jumps n Z, n := q n+1 q n {L 1,..., L r } Repetitive For instance assume there are 2 tiles {L, S}. A pattern P = LSL is any finite sub-word. An occurrence of a pattern is some n n = L, n+1 = S, n+2 = L repetitive = for every pattern the set of occurrences is relatively dense Uniformly distributed For every pattern P, uniformly in x 1 Card{occurrences of P in [x T, x + T ]} ν(p ) > 0 2T Pohang, August 24-28,2015 quasi-periodique Frenkel Kontorova 18/32
19 II.6. A model of Sturmian type Construction A model of type cut and projection let be α Q and B = {(x, y) R 2 : αx α < y αx + 1} we construct a sequence of points (q n u ) n 0 on the line D = R u, u = (1, α), by projecting orthogonally on D the set Z 2 B 3 2 0<α<1 D 1 q 4 0 q q q α ω = (q n) n Z is a quasicrystal with 2 tiles q n+1 q n { 1/ 1 + α 2, α/ 1 + α 2} = {L, S} A particular case For α = 5 1 2, one obtains the Fibonacci substitution S L et L LS Pohang, August 24-28,2015 quasi-periodique Frenkel Kontorova 19/32
20 II.7. A quasicrystalline model Definition (first definition) ω a quasicrystal (an ordered subset of finite complexity, which is repetitive, with uniformly distributed patterns) a discrete action E ω (x, y) = W (y x) + V ω (x) V ω : R R a C 0 transversally constant function ( a juxtaposition of of potentials according to the tiles) W : R R is C 2 and satisfies W > 0 a.e. W (t) W is superlinear lim = + t + t Main theorem In a quasicrystalline model there exist calibrated configurations (x n ) n Z that is satisfying m n E ω (x m,..., x n ) (n m)ēω = S ω (x m, x n ) Ē ω := lim n + 1 inf x 0,...,x n R d n E ω (x 0,..., x n ) Pohang, August 24-28,2015 quasi-periodique Frenkel Kontorova 20/32
21 III. Some ideas of the proof Pohang, August 24-28,2015 quasi-periodique Frenkel Kontorova 21/32
22 III.1. Why locally transversally constant? Assume V ω is given by the Fibonacci sequence: ω (, S, L L, S, L, L, S, ) {L, S} Z V ω (x) V L V L V L V L V S V S V S x x x x x x x x q 1 q 0 =0 q 1 q 2 q 3 q 4 q 5 S L L S L L S E ω (x, y) = W (y x) + V ω (x) Denote σ : {L, S} Z {L, S} Z the left shift. Then we obtain infinitely many similar Fibonacci sequences Σ := {σ n (ω ) : n Z} Pohang, August 24-28,2015 quasi-periodique Frenkel Kontorova 22/32
23 III.2. Why locally transversally constant? There is a natural R-action of the set of quasicrystals: ω ω t 0 L S ω t q 0 q 1 q 2 τ t (ω ) L τ L (ω ) q 0 L q 1 L Ω := Hull(ω ) = {τ t (ω ) : t R} compact-hausdorff Σ Σ S τ L (ω ) Ω suspension over Σ of a locally constant return map or Σ can be seen as a global transverse section to the flow Σ L 0 ω S t L { VL (t) if ω Σ V ω (t) = V (τ t ω)) = L V S (t) if ω Σ S Pohang, August 24-28,2015 quasi-periodique Frenkel Kontorova 23/32
24 III.3. Why twist? Aubry lemma The twist property E(x, y) x y (x, ) < 0 and E(x, y) (, y) < 0 a.e. x y implies E(x 0, x 1 ) + E(y 0, y 1 ) > E(x 0, y 1 ) + E(y 0, x 1 ) x 0 y 0 y 1 x 1 x 0 y 0 y 1 x 1 Corollary Consider a finite minimizing path (x k ) n k=0. Then the following configuration is forbidden. x m x m+1 x m x m+1 x k 1 x k x k +1 Pohang, August 24-28,2015 quasi-periodique Frenkel Kontorova 24/32
25 Proof III.4. Why twist? x m x m+1 x m x m+1 x k 1 x k x k +1 x m x k 1 x k x k +1 x m+1 x x m+1 m x k x m x k x m+1 x k 1 x k +1 Pohang, August 24-28,2015 quasi-periodique Frenkel Kontorova 25/32
26 III.5. Why twist? Corollary Similarly the following configuration is forbidden x m 1 x m x m+1 x m 1 x m x m+1 x k 2 x k 1 x k x k +1 Consequence If (x k ) n k=0 is a finite minimizing path, for every pattern, say LSL, the number of points x k inside this pattern differs at most by 2 Pohang, August 24-28,2015 quasi-periodique Frenkel Kontorova 26/32
27 III.6. Why uniquely ergodic? Proposition If (x (n) k )n k=0 realizes the minimum of E ω (x(n) 0,..., x(n) n ) among all finite path of size n, then x (n) k+1 x(n) k x (n) n x (n) 0 lim 1 n + n ν L N L + ν S N S Proof R (is uniformly bounded) (lim inf > 0 and lim sup < + ) x 0 x 1 x 2 x n T := x (n) n x (n) 0 L S L L S L ν L := (nb of occurrences of L )/T N L := nb of x k inside each tile L Then n = (T ν L )N L + (T ν S )N S Pohang, August 24-28,2015 quasi-periodique Frenkel Kontorova 27/32
28 III.7. Why a quasicrystalline model? Beginning of the proof ω a Fibonacci quasicrystal V ω a locally transversally constant potential E ω a discrete action E ω (x, y) = W (y x) + V ω (x) (x (n) k )n k=0 = arg min x 0,...,x n E ω (x 0,..., x n ) a finite minimizing path Remark There is no reason that this path is calibrated, that there exists a normalizing constant Ēω such that But we already know that sup x (n) n,k E ω (x (n) 0,..., x(n) n ) nēω = S ω (x(n) 0, x(n) n ) k+1 x(n) k x (n) n R and lim n + x (n) 0 > 0 n Pohang, August 24-28,2015 quasi-periodique Frenkel Kontorova 28/32
29 III.8. Why a quasicrystalline model? Idea Include this specific quasicrystal into a larger family Ω = Hull(ω ) the Hull of ω τ t : Ω Ω the flow acting on subsets by translation V : Ω R such that V ω (x) = V (τ x (ω )) L(ω, x) : Ω R R the Lagrangian form of E L(ω, x) = W (x) + V (τ x (ω)) and E ω (x, y) = L(τ x (ω), y x) Main observation Σ 0 A flow box [0, R] Ξ Ξ= L S S n 1 Define µ n := 1 n k=0 δ τ xk (ω ) and µ = lim µ n n + Then µ gives positive mass to any flow box of sufficiently long length t L proof Say Ξ = LS 1 µ ([0, R] Ξ) = lim nb occurrences of LS n + n x n x 0 nb occurrences of LS = lim > 0 n + n x n x 0 x 0 x 1 x 2 L S L L S L Pohang, August 24-28,2015 quasi-periodique Frenkel Kontorova 29/32 x n
30 III.8. Why a quasicrystalline model? Corollary of the main observation { supp(µ ) meets every trajectory Ξ µ ([0, R] Ξ) > 0 = in time less than R µ appears to be the projection of a specific measure in Ω := Ω R n 1 1 µ = pr( µ ) µ = lim n + n Second main observation µ is minimizing: L(ω, t) d µ (ω, t) = µ is holonomic φ C 0 k=0 δ (τxk (ω ),x k+1 x k ) µ satisfies the two following properties 1 lim n + n inf x 0,...,x n E ω (x 0,..., x n ) = Ēω φ(ω) d µ (ω, t) = φ(τ t (ω)) d µ (ω, t) Pohang, August 24-28,2015 quasi-periodique Frenkel Kontorova 30/32
31 Definition We call Mather set Theorem III.9. Main result again We say that a probability measure in Ω R is minimizing if { } µ = arg min L(ω, t) dν : ν is holonomic Mather(L) := {supp(µ) : µ is minimizing } In the almost periodic case, the Mather set is a non empty compact set In the quasicrystaline case, the projected Mather set meets every trajectory Ēω = inf{ Ldµ : µ is minimizing } is independant of ω for every ω Mather(L), there exists a calibrated configuration passing through x 0 = 0 Pohang, August 24-28,2015 quasi-periodique Frenkel Kontorova 31/32
32 Bibliographie I S. Aubry and P.Y. Le Daeron, The discrete Frenkel-Kontorova model and its extensions: I. Exact results for the ground states, Physica D 8 (1983), A. Fathi, The weak KAM theorem in Lagrangian dynamics, book to appear, Cambridge University Press. J. M. Gambaudo, P. Guiraud and S. Petite, Minimal configurations for the Frenkel-Kontorova, model on a quasicrystal, Communications in Mathematical Physics 265 (2006), E. Garibaldi, S. Petite, Ph. Thieullen, Calibrated configurations for Frenkel-Kontorova type models in almost-periodic environments, arxiv (2014). Pohang, August 24-28,2015 quasi-periodique Frenkel Kontorova 32/32
Non convergence of a 1D Gibbs model at zero temperature
Non convergence of a 1D Gibbs model at zero temperature Philippe Thieullen (Université de Bordeaux) Joint work with R. Bissacot (USP, Saõ Paulo) and E. Garibaldi (UNICAMP, Campinas) Topics in Mathematical
More informationA generic property of families of Lagrangian systems
Annals of Mathematics, 167 (2008), 1099 1108 A generic property of families of Lagrangian systems By Patrick Bernard and Gonzalo Contreras * Abstract We prove that a generic Lagrangian has finitely many
More informationMañé s Conjecture from the control viewpoint
Mañé s Conjecture from the control viewpoint Université de Nice - Sophia Antipolis Setting Let M be a smooth compact manifold of dimension n 2 be fixed. Let H : T M R be a Hamiltonian of class C k, with
More informationREGULAR DEPENDENCE OF THE PEIERLS BARRIERS ON PERTURBATIONS
REGULAR DEPENDENCE OF THE PEIERLS BARRIERS ON PERTURBATIONS QINBO CHEN AND CHONG-QING CHENG Abstract. Let f be an exact area-preserving monotone twist diffeomorphism of the infinite cylinder and P ω,f
More informationWANNIER TRANSFORM APERIODIC SOLIDS. for. Jean BELLISSARD. Collaboration:
WANNIER TRANSFORM for APERIODIC SOLIDS Jean BELLISSARD Georgia Institute of Technology, Atlanta School of Mathematics & School of Physics e-mail: jeanbel@math.gatech.edu Collaboration: G. DE NITTIS (SISSA,
More informationPoint Sets and Dynamical Systems in the Autocorrelation Topology
Point Sets and Dynamical Systems in the Autocorrelation Topology Robert V. Moody and Nicolae Strungaru Department of Mathematical and Statistical Sciences University of Alberta, Edmonton Canada, T6G 2G1
More informationAppendix B Convex analysis
This version: 28/02/2014 Appendix B Convex analysis In this appendix we review a few basic notions of convexity and related notions that will be important for us at various times. B.1 The Hausdorff distance
More informationRandom Locations of Periodic Stationary Processes
Random Locations of Periodic Stationary Processes Yi Shen Department of Statistics and Actuarial Science University of Waterloo Joint work with Jie Shen and Ruodu Wang May 3, 2016 The Fields Institute
More informationExistence of a Limit on a Dense Set, and. Construction of Continuous Functions on Special Sets
Existence of a Limit on a Dense Set, and Construction of Continuous Functions on Special Sets REU 2012 Recap: Definitions Definition Given a real-valued function f, the limit of f exists at a point c R
More informationGeneric Aubry sets on surfaces
Université de Nice - Sophia Antipolis & Institut Universitaire de France Nanjing University (June 10th, 2013) Setting Let M be a smooth compact manifold of dimension n 2 be fixed. Let H : T M R be a Hamiltonian
More informationMATHER THEORY, WEAK KAM, AND VISCOSITY SOLUTIONS OF HAMILTON-JACOBI PDE S
MATHER THEORY, WEAK KAM, AND VISCOSITY SOLUTIONS OF HAMILTON-JACOBI PDE S VADIM YU. KALOSHIN 1. Motivation Consider a C 2 smooth Hamiltonian H : T n R n R, where T n is the standard n-dimensional torus
More informationMATHS 730 FC Lecture Notes March 5, Introduction
1 INTRODUCTION MATHS 730 FC Lecture Notes March 5, 2014 1 Introduction Definition. If A, B are sets and there exists a bijection A B, they have the same cardinality, which we write as A, #A. If there exists
More informationRecall that if X is a compact metric space, C(X), the space of continuous (real-valued) functions on X, is a Banach space with the norm
Chapter 13 Radon Measures Recall that if X is a compact metric space, C(X), the space of continuous (real-valued) functions on X, is a Banach space with the norm (13.1) f = sup x X f(x). We want to identify
More information3 (Due ). Let A X consist of points (x, y) such that either x or y is a rational number. Is A measurable? What is its Lebesgue measure?
MA 645-4A (Real Analysis), Dr. Chernov Homework assignment 1 (Due ). Show that the open disk x 2 + y 2 < 1 is a countable union of planar elementary sets. Show that the closed disk x 2 + y 2 1 is a countable
More informationWeak and Measure-Valued Solutions of the Incompressible Euler Equations
Weak and Measure-Valued Solutions for Euler 1 / 12 Weak and Measure-Valued Solutions of the Incompressible Euler Equations (joint work with László Székelyhidi Jr.) October 14, 2011 at Carnegie Mellon University
More informationConvergence of discrete Aubry Mather model in the continuous limit
Nonlinearity PAPER Convergence of discrete Aubry Mather model in the continuous limit To cite this article: Xifeng Su and Philippe Thieullen 2018 Nonlinearity 31 2126 Related content - Minimizing orbits
More informationDiophantine approximation of beta expansion in parameter space
Diophantine approximation of beta expansion in parameter space Jun Wu Huazhong University of Science and Technology Advances on Fractals and Related Fields, France 19-25, September 2015 Outline 1 Background
More informationReminder Notes for the Course on Distribution Theory
Reminder Notes for the Course on Distribution Theory T. C. Dorlas Dublin Institute for Advanced Studies School of Theoretical Physics 10 Burlington Road, Dublin 4, Ireland. Email: dorlas@stp.dias.ie March
More informationNotions such as convergent sequence and Cauchy sequence make sense for any metric space. Convergent Sequences are Cauchy
Banach Spaces These notes provide an introduction to Banach spaces, which are complete normed vector spaces. For the purposes of these notes, all vector spaces are assumed to be over the real numbers.
More informationINITIAL POWERS OF STURMIAN SEQUENCES
INITIAL POWERS OF STURMIAN SEQUENCES VALÉRIE BERTHÉ, CHARLES HOLTON, AND LUCA Q. ZAMBONI Abstract. We investigate powers of prefixes in Sturmian sequences. We obtain an explicit formula for ice(ω), the
More informationTopology of the set of singularities of a solution of the Hamilton-Jacobi Equation
Topology of the set of singularities of a solution of the Hamilton-Jacobi Equation Albert Fathi IAS Princeton March 15, 2016 In this lecture, a singularity for a locally Lipschitz real valued function
More informationPartial semigroup actions and groupoids
Partial semigroup actions and groupoids Jean Renault University of Orléans May 12, 2014 PARS (joint work with Dana Williams) Introduction A few years ago, I was recruited by an Australian team to help
More informationProbability and Measure
Part II Year 2018 2017 2016 2015 2014 2013 2012 2011 2010 2009 2008 2007 2006 2005 2018 84 Paper 4, Section II 26J Let (X, A) be a measurable space. Let T : X X be a measurable map, and µ a probability
More informationA D VA N C E D P R O B A B I L - I T Y
A N D R E W T U L L O C H A D VA N C E D P R O B A B I L - I T Y T R I N I T Y C O L L E G E T H E U N I V E R S I T Y O F C A M B R I D G E Contents 1 Conditional Expectation 5 1.1 Discrete Case 6 1.2
More informationSolution. 1 Solution of Homework 7. Sangchul Lee. March 22, Problem 1.1
Solution Sangchul Lee March, 018 1 Solution of Homework 7 Problem 1.1 For a given k N, Consider two sequences (a n ) and (b n,k ) in R. Suppose that a n b n,k for all n,k N Show that limsup a n B k :=
More informationTHEOREMS, ETC., FOR MATH 516
THEOREMS, ETC., FOR MATH 516 Results labeled Theorem Ea.b.c (or Proposition Ea.b.c, etc.) refer to Theorem c from section a.b of Evans book (Partial Differential Equations). Proposition 1 (=Proposition
More informationFocal points and sup-norms of eigenfunctions
Focal points and sup-norms of eigenfunctions Chris Sogge (Johns Hopkins University) Joint work with Steve Zelditch (Northwestern University)) Chris Sogge Focal points and sup-norms of eigenfunctions 1
More informationn [ F (b j ) F (a j ) ], n j=1(a j, b j ] E (4.1)
1.4. CONSTRUCTION OF LEBESGUE-STIELTJES MEASURES In this section we shall put to use the Carathéodory-Hahn theory, in order to construct measures with certain desirable properties first on the real line
More informationNeighboring feasible trajectories in infinite dimension
Neighboring feasible trajectories in infinite dimension Marco Mazzola Université Pierre et Marie Curie (Paris 6) H. Frankowska and E. M. Marchini Control of State Constrained Dynamical Systems Padova,
More informationINVARIANT MEASURES FOR CERTAIN LINEAR FRACTIONAL TRANSFORMATIONS MOD 1
PROCEEDINGS OF THE AMERICAN MATHEMATICAL SOCIETY Volume 27, Number 2, Pages 3439 3444 S 0002-99399905008-X Article electronically published on July 20, 999 INVARIANT MEASURES FOR CERTAIN LINEAR FRACTIONAL
More informationWe will outline two proofs of the main theorem:
Chapter 4 Higher Genus Surfaces 4.1 The Main Result We will outline two proofs of the main theorem: Theorem 4.1.1. Let Σ be a closed oriented surface of genus g > 1. Then every homotopy class of homeomorphisms
More information1 Lecture 4: Set topology on metric spaces, 8/17/2012
Summer Jump-Start Program for Analysis, 01 Song-Ying Li 1 Lecture : Set topology on metric spaces, 8/17/01 Definition 1.1. Let (X, d) be a metric space; E is a subset of X. Then: (i) x E is an interior
More informationResearch Article Almost Periodic Solutions of Prey-Predator Discrete Models with Delay
Hindawi Publishing Corporation Advances in Difference Equations Volume 009, Article ID 976865, 19 pages doi:10.1155/009/976865 Research Article Almost Periodic Solutions of Prey-Predator Discrete Models
More informationPROBLEMS. (b) (Polarization Identity) Show that in any inner product space
1 Professor Carl Cowen Math 54600 Fall 09 PROBLEMS 1. (Geometry in Inner Product Spaces) (a) (Parallelogram Law) Show that in any inner product space x + y 2 + x y 2 = 2( x 2 + y 2 ). (b) (Polarization
More informationPositive Stabilization of Infinite-Dimensional Linear Systems
Positive Stabilization of Infinite-Dimensional Linear Systems Joseph Winkin Namur Center of Complex Systems (NaXys) and Department of Mathematics, University of Namur, Belgium Joint work with Bouchra Abouzaid
More informationWiener Measure and Brownian Motion
Chapter 16 Wiener Measure and Brownian Motion Diffusion of particles is a product of their apparently random motion. The density u(t, x) of diffusing particles satisfies the diffusion equation (16.1) u
More information2.2 Some Consequences of the Completeness Axiom
60 CHAPTER 2. IMPORTANT PROPERTIES OF R 2.2 Some Consequences of the Completeness Axiom In this section, we use the fact that R is complete to establish some important results. First, we will prove that
More informationOn John type ellipsoids
On John type ellipsoids B. Klartag Tel Aviv University Abstract Given an arbitrary convex symmetric body K R n, we construct a natural and non-trivial continuous map u K which associates ellipsoids to
More informationRiesz bases, Meyer s quasicrystals, and bounded remainder sets
Riesz bases, Meyer s quasicrystals, and bounded remainder sets Sigrid Grepstad June 7, 2018 Joint work with Nir Lev Riesz bases of exponentials S R d is bounded and measurable. Λ R d is discrete. The exponential
More informationIntroduction to Functional Analysis
Introduction to Functional Analysis Carnegie Mellon University, 21-640, Spring 2014 Acknowledgements These notes are based on the lecture course given by Irene Fonseca but may differ from the exact lecture
More informationEntropy of C 1 -diffeomorphisms without dominated splitting
Entropy of C 1 -diffeomorphisms without dominated splitting Jérôme Buzzi (CNRS & Université Paris-Sud) joint with S. CROVISIER and T. FISHER June 15, 2017 Beyond Uniform Hyperbolicity - Provo, UT Outline
More informationCorrelation dimension for self-similar Cantor sets with overlaps
F U N D A M E N T A MATHEMATICAE 155 (1998) Correlation dimension for self-similar Cantor sets with overlaps by Károly S i m o n (Miskolc) and Boris S o l o m y a k (Seattle, Wash.) Abstract. We consider
More informationS-adic sequences A bridge between dynamics, arithmetic, and geometry
S-adic sequences A bridge between dynamics, arithmetic, and geometry J. M. Thuswaldner (joint work with P. Arnoux, V. Berthé, M. Minervino, and W. Steiner) Marseille, November 2017 PART 3 S-adic Rauzy
More informationST5215: Advanced Statistical Theory
Department of Statistics & Applied Probability Thursday, August 15, 2011 Lecture 2: Measurable Function and Integration Measurable function f : a function from Ω to Λ (often Λ = R k ) Inverse image of
More informationWeak KAM pairs and Monge-Kantorovich duality
Advanced Studies in Pure Mathematics 47-2, 2007 Asymptotic Analysis and Singularities pp. 397 420 Weak KAM pairs and Monge-Kantorovich duality Abstract. Patrick Bernard and Boris Buffoni The dynamics of
More informationLocal semiconvexity of Kantorovich potentials on non-compact manifolds
Local semiconvexity of Kantorovich potentials on non-compact manifolds Alessio Figalli, Nicola Gigli Abstract We prove that any Kantorovich potential for the cost function c = d / on a Riemannian manifold
More informationA SHORT INTRODUCTION TO BANACH LATTICES AND
CHAPTER A SHORT INTRODUCTION TO BANACH LATTICES AND POSITIVE OPERATORS In tis capter we give a brief introduction to Banac lattices and positive operators. Most results of tis capter can be found, e.g.,
More informationConvexity in R n. The following lemma will be needed in a while. Lemma 1 Let x E, u R n. If τ I(x, u), τ 0, define. f(x + τu) f(x). τ.
Convexity in R n Let E be a convex subset of R n. A function f : E (, ] is convex iff f(tx + (1 t)y) (1 t)f(x) + tf(y) x, y E, t [0, 1]. A similar definition holds in any vector space. A topology is needed
More informationDisintegration into conditional measures: Rokhlin s theorem
Disintegration into conditional measures: Rokhlin s theorem Let Z be a compact metric space, µ be a Borel probability measure on Z, and P be a partition of Z into measurable subsets. Let π : Z P be the
More information1. Stochastic Processes and filtrations
1. Stochastic Processes and 1. Stoch. pr., A stochastic process (X t ) t T is a collection of random variables on (Ω, F) with values in a measurable space (S, S), i.e., for all t, In our case X t : Ω S
More informationCrystals, Quasicrystals and Shape
Crystals, Quasicrystals and Shape by Azura Newman Table of contents 1) Introduction 2)Diffraction Theory 3)Crystals 4)Parametric Density 5) Surface Energy and Wulff-Shape 6) Quasicrystals 7) The Bound
More informationConsequences of the Completeness Property
Consequences of the Completeness Property Philippe B. Laval KSU Today Philippe B. Laval (KSU) Consequences of the Completeness Property Today 1 / 10 Introduction In this section, we use the fact that R
More informationII - REAL ANALYSIS. This property gives us a way to extend the notion of content to finite unions of rectangles: we define
1 Measures 1.1 Jordan content in R N II - REAL ANALYSIS Let I be an interval in R. Then its 1-content is defined as c 1 (I) := b a if I is bounded with endpoints a, b. If I is unbounded, we define c 1
More informationTopology Proceedings. COPYRIGHT c by Topology Proceedings. All rights reserved.
Topology Proceedings Web: http://topology.auburn.edu/tp/ Mail: Topology Proceedings Department of Mathematics & Statistics Auburn University, Alabama 36849, USA E-mail: topolog@auburn.edu ISSN: 0146-4124
More informationarxiv: v2 [math.ds] 9 Jun 2013
SHAPES OF POLYNOMIAL JULIA SETS KATHRYN A. LINDSEY arxiv:209.043v2 [math.ds] 9 Jun 203 Abstract. Any Jordan curve in the complex plane can be approximated arbitrarily well in the Hausdorff topology by
More informationSigned Measures and Complex Measures
Chapter 8 Signed Measures Complex Measures As opposed to the measures we have considered so far, a signed measure is allowed to take on both positive negative values. To be precise, if M is a σ-algebra
More informationOn (h, k) trichotomy for skew-evolution semiflows in Banach spaces
Stud. Univ. Babeş-Bolyai Math. 56(2011), No. 4, 147 156 On (h, k) trichotomy for skew-evolution semiflows in Banach spaces Codruţa Stoica and Mihail Megan Abstract. In this paper we define the notion of
More information(x k ) sequence in F, lim x k = x x F. If F : R n R is a function, level sets and sublevel sets of F are any sets of the form (respectively);
STABILITY OF EQUILIBRIA AND LIAPUNOV FUNCTIONS. By topological properties in general we mean qualitative geometric properties (of subsets of R n or of functions in R n ), that is, those that don t depend
More informationOptimal stopping for non-linear expectations Part I
Stochastic Processes and their Applications 121 (2011) 185 211 www.elsevier.com/locate/spa Optimal stopping for non-linear expectations Part I Erhan Bayraktar, Song Yao Department of Mathematics, University
More informationOn the smoothness of the conjugacy between circle maps with a break
On the smoothness of the conjugacy between circle maps with a break Konstantin Khanin and Saša Kocić 2 Department of Mathematics, University of Toronto, Toronto, ON, Canada M5S 2E4 2 Department of Mathematics,
More informationTWIST MAPS OF THE ANNULUS
1 TWIST MAPS OF THE ANNULUS 4. Monotone Twist Maps A. Definitions The annulus can be defined as A = S 1 [a, b], where the circle S 1 =IR/ Z. We define the cylinder by: C = S 1 IR. As with maps of the circle,
More informationFrames of exponentials on small sets
Frames of exponentials on small sets J.-P. Gabardo McMaster University Department of Mathematics and Statistics gabardo@mcmaster.ca Joint work with Chun-Kit Lai (San Francisco State Univ.) Workshop on
More information4 Countability axioms
4 COUNTABILITY AXIOMS 4 Countability axioms Definition 4.1. Let X be a topological space X is said to be first countable if for any x X, there is a countable basis for the neighborhoods of x. X is said
More informationA Note on the Central Limit Theorem for a Class of Linear Systems 1
A Note on the Central Limit Theorem for a Class of Linear Systems 1 Contents Yukio Nagahata Department of Mathematics, Graduate School of Engineering Science Osaka University, Toyonaka 560-8531, Japan.
More informationErrata Applied Analysis
Errata Applied Analysis p. 9: line 2 from the bottom: 2 instead of 2. p. 10: Last sentence should read: The lim sup of a sequence whose terms are bounded from above is finite or, and the lim inf of a sequence
More informationLipschitz matchbox manifolds
Lipschitz matchbox manifolds Steve Hurder University of Illinois at Chicago www.math.uic.edu/ hurder F is a C 1 -foliation of a compact manifold M. Problem: Let L be a complete Riemannian smooth manifold
More informationDecidability of consistency of function and derivative information for a triangle and a convex quadrilateral
Decidability of consistency of function and derivative information for a triangle and a convex quadrilateral Abbas Edalat Department of Computing Imperial College London Abstract Given a triangle in the
More informationLECTURE NOTES ON MATHER S THEORY FOR LAGRANGIAN SYSTEMS
LECTURE NOTES ON MATHER S THEORY FOR LAGRANGIAN SYSTEMS ALFONSO SORRENTINO Abstract. These notes are based on a series of lectures that the author gave at the CIMPA Research School Hamiltonian and Lagrangian
More informationMeasure Theory on Topological Spaces. Course: Prof. Tony Dorlas 2010 Typset: Cathal Ormond
Measure Theory on Topological Spaces Course: Prof. Tony Dorlas 2010 Typset: Cathal Ormond May 22, 2011 Contents 1 Introduction 2 1.1 The Riemann Integral........................................ 2 1.2 Measurable..............................................
More informationTheory of Aperiodic Solids:
Theory of Aperiodic Solids: Sponsoring from 1980 to present Jean BELLISSARD jeanbel@math.gatech.edu Georgia Institute of Technology, Atlanta School of Mathematics & School of Physics Content 1. Aperiodic
More informationNormed Vector Spaces and Double Duals
Normed Vector Spaces and Double Duals Mathematics 481/525 In this note we look at a number of infinite-dimensional R-vector spaces that arise in analysis, and we consider their dual and double dual spaces
More informationLocally convex spaces, the hyperplane separation theorem, and the Krein-Milman theorem
56 Chapter 7 Locally convex spaces, the hyperplane separation theorem, and the Krein-Milman theorem Recall that C(X) is not a normed linear space when X is not compact. On the other hand we could use semi
More informationStabilization of Distributed Parameter Systems by State Feedback with Positivity Constraints
Stabilization of Distributed Parameter Systems by State Feedback with Positivity Constraints Joseph Winkin Namur Center of Complex Systems (naxys) and Dept. of Mathematics, University of Namur, Belgium
More informationAn extension of the Pascal triangle and the Sierpiński gasket to finite words. Joint work with Julien Leroy and Michel Rigo (ULiège)
An extension of the Pascal triangle and the Sierpiński gasket to finite words Joint work with Julien Leroy and Michel Rigo (ULiège) Manon Stipulanti (ULiège) FRIA grantee LaBRI, Bordeaux (France) December
More information1 Inner Product Space
Ch - Hilbert Space 1 4 Hilbert Space 1 Inner Product Space Let E be a complex vector space, a mapping (, ) : E E C is called an inner product on E if i) (x, x) 0 x E and (x, x) = 0 if and only if x = 0;
More informationErgodic Theory. Constantine Caramanis. May 6, 1999
Ergodic Theory Constantine Caramanis ay 6, 1999 1 Introduction Ergodic theory involves the study of transformations on measure spaces. Interchanging the words measurable function and probability density
More informationProof: The coding of T (x) is the left shift of the coding of x. φ(t x) n = L if T n+1 (x) L
Lecture 24: Defn: Topological conjugacy: Given Z + d (resp, Zd ), actions T, S a topological conjugacy from T to S is a homeomorphism φ : M N s.t. φ T = S φ i.e., φ T n = S n φ for all n Z + d (resp, Zd
More informationHausdorff measure. Jordan Bell Department of Mathematics, University of Toronto. October 29, 2014
Hausdorff measure Jordan Bell jordan.bell@gmail.com Department of Mathematics, University of Toronto October 29, 2014 1 Outer measures and metric outer measures Suppose that X is a set. A function ν :
More informationThuong Nguyen. SADCO Internal Review Metting
Asymptotic behavior of singularly perturbed control system: non-periodic setting Thuong Nguyen (Joint work with A. Siconolfi) SADCO Internal Review Metting Rome, Nov 10-12, 2014 Thuong Nguyen (Roma Sapienza)
More informationarxiv: v2 [math.ds] 24 Apr 2018
CONSTRUCTION OF SOME CHOWLA SEQUENCES RUXI SHI arxiv:1804.03851v2 [math.ds] 24 Apr 2018 Abstract. For numerical sequences taking values 0 or complex numbers of modulus 1, we define Chowla property and
More informationDefinitions of curvature bounded below
Chapter 6 Definitions of curvature bounded below In section 6.1, we will start with a global definition of Alexandrov spaces via (1+3)-point comparison. In section 6.2, we give a number of equivalent angle
More informationA class of non-convex polytopes that admit no orthonormal basis of exponentials
A class of non-convex polytopes that admit no orthonormal basis of exponentials Mihail N. Kolountzakis and Michael Papadimitrakis 1 Abstract A conjecture of Fuglede states that a bounded measurable set
More informationWeak convergence. Amsterdam, 13 November Leiden University. Limit theorems. Shota Gugushvili. Generalities. Criteria
Weak Leiden University Amsterdam, 13 November 2013 Outline 1 2 3 4 5 6 7 Definition Definition Let µ, µ 1, µ 2,... be probability measures on (R, B). It is said that µ n converges weakly to µ, and we then
More informationFundamental Inequalities, Convergence and the Optional Stopping Theorem for Continuous-Time Martingales
Fundamental Inequalities, Convergence and the Optional Stopping Theorem for Continuous-Time Martingales Prakash Balachandran Department of Mathematics Duke University April 2, 2008 1 Review of Discrete-Time
More informationSTOCHASTIC COMPARISONS OF FUZZY
CHAPTER FIVE STOCHASTIC COPARISONS OF FUZZY STOCHASTIC PROCESSES Abstract Chapter 5 investigates the stochastic comparison of fuzzy stochastic processes. This chapter introduce the concept of stochastic
More informationGround States are generically a periodic orbit
Gonzalo Contreras CIMAT Guanajuato, Mexico Ergodic Optimization and related topics USP, Sao Paulo December 11, 2013 Expanding map X compact metric space. T : X Ñ X an expanding map i.e. T P C 0, Dd P Z`,
More informationFocal points and sup-norms of eigenfunctions
Focal points and sup-norms of eigenfunctions Chris Sogge (Johns Hopkins University) Joint work with Steve Zelditch (Northwestern University)) Chris Sogge Focal points and sup-norms of eigenfunctions 1
More informationCAUCHY PROBLEMS FOR STATIONARY HAMILTON JACOBI EQUATIONS UNDER MILD REGULARITY ASSUMPTIONS. Olga Bernardi and Franco Cardin.
JOURNAL OF GEOMETRIC MECHANICS doi:10.3934/jgm.2009.1.271 c American Institute of Mathematical Sciences Volume 1, Number 3, September 2009 pp. 271 294 CAUCHY PROBLEMS FOR STATIONARY HAMILTON JACOBI EQUATIONS
More informationThe dynamics of Kuperberg flows
The dynamics of Kuperberg flows Steve Hurder (joint with Ana Rechtman) University of Illinois at Chicago www.math.uic.edu/ hurder Introduction Theorem: [K. Kuperberg] Let M be a closed, oriented 3-manifold.
More informationSome Background Math Notes on Limsups, Sets, and Convexity
EE599 STOCHASTIC NETWORK OPTIMIZATION, MICHAEL J. NEELY, FALL 2008 1 Some Background Math Notes on Limsups, Sets, and Convexity I. LIMITS Let f(t) be a real valued function of time. Suppose f(t) converges
More informationLyapunov optimizing measures for C 1 expanding maps of the circle
Lyapunov optimizing measures for C 1 expanding maps of the circle Oliver Jenkinson and Ian D. Morris Abstract. For a generic C 1 expanding map of the circle, the Lyapunov maximizing measure is unique,
More informationHomogenization of Penrose tilings
Homogenization of Penrose tilings A. Braides Dipartimento di Matematica, Università di Roma or Vergata via della ricerca scientifica, 0033 Roma, Italy G. Riey Dipartimento di Matematica, Università della
More informationThe Gaussian free field, Gibbs measures and NLS on planar domains
The Gaussian free field, Gibbs measures and on planar domains N. Burq, joint with L. Thomann (Nantes) and N. Tzvetkov (Cergy) Université Paris Sud, Laboratoire de Mathématiques d Orsay, CNRS UMR 8628 LAGA,
More information2 (Bonus). Let A X consist of points (x, y) such that either x or y is a rational number. Is A measurable? What is its Lebesgue measure?
MA 645-4A (Real Analysis), Dr. Chernov Homework assignment 1 (Due 9/5). Prove that every countable set A is measurable and µ(a) = 0. 2 (Bonus). Let A consist of points (x, y) such that either x or y is
More informationWeak convergence and Compactness.
Chapter 4 Weak convergence and Compactness. Let be a complete separable metic space and B its Borel σ field. We denote by M() the space of probability measures on (, B). A sequence µ n M() of probability
More informationStochastic domination in space-time for the supercritical contact process
Stochastic domination in space-time for the supercritical contact process Stein Andreas Bethuelsen joint work with Rob van den Berg (CWI and VU Amsterdam) Workshop on Genealogies of Interacting Particle
More information7 Convergence in R d and in Metric Spaces
STA 711: Probability & Measure Theory Robert L. Wolpert 7 Convergence in R d and in Metric Spaces A sequence of elements a n of R d converges to a limit a if and only if, for each ǫ > 0, the sequence a
More informationEuler Characteristic of Two-Dimensional Manifolds
Euler Characteristic of Two-Dimensional Manifolds M. Hafiz Khusyairi August 2008 In this work we will discuss an important notion from topology, namely Euler Characteristic and we will discuss several
More informationCartan sub-c*-algebras in C*-algebras
Plan Cartan sub-c*-algebras in C*-algebras Jean Renault Université d Orléans 22 July 2008 1 C*-algebra constructions. 2 Effective versus topologically principal. 3 Cartan subalgebras in C*-algebras. 4
More informationVISCOSITY SOLUTIONS OF HAMILTON-JACOBI EQUATIONS, AND ASYMPTOTICS FOR HAMILTONIAN SYSTEMS
VISCOSITY SOLUTIONS OF HAMILTON-JACOBI EQUATIONS, AND ASYMPTOTICS FOR HAMILTONIAN SYSTEMS DIOGO AGUIAR GOMES U.C. Berkeley - CA, US and I.S.T. - Lisbon, Portugal email:dgomes@math.ist.utl.pt Abstract.
More information