Random Operators Disorder Effects on Quantum Spectra and Dynamics
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Spectral Analysis of Quasiperiodic Schrödinger Operators
UNIVERSITY OF CALIFORNIA, IRVINE Spectral analysis of quasiperiodic Schr¨odingeroperators DISSERTATION submitted in partial satisfaction of the requirements for the degree of DOCTOR OF PHILOSOPHY in Mathematics by Shiwen Zhang Dissertation Committee: Professor Svetlana Jitomirskaya, Chair Professor Anton Gorodetski Professor Abel Klein 2016 c 2016 Shiwen Zhang Dedication This thesis is dedicated to my beloved parents. For their endless love, support and encouragement. ii Table of Contents Acknowledgements v Curriculum Vitae vi Abstract of the Dissertation x Introduction 1 0.1 Discrete Schr¨odingeroperators . 1 0.2 Motivation and Background . 1 1 Quantitative continuity of singular continuous spectral measures and arithmetic criteria. 5 1.1 Introduction . 5 1.1.1 Main application . 9 1.1.2 Spectral singularity, continuity and proof of Theorem 1.1.4 . 10 1.1.3 Relation with other dimensions; Corollaries for the AMO, Stur- mian potentials, and Transport exponents. 14 1.1.4 Preliminaries . 18 1.2 Spectral Continuity . 22 1.2.1 Proof of Theorem 1.1.6 . 22 1.2.2 Proof of Theorem 1.2.1 . 26 1.2.3 The hyperbolic case: Proof of Lemma 1.2.4 . 27 1.2.4 Energies with Trace close to 2: Proof of Lemma 1.2.5 . 33 1.2.5 Proof of Lemmas 1.2.2 and 1.2.3 . 39 1.3 Spectral Singularity . 40 1.3.1 Power law estimates and proof of Theorem 1.1.5 . 40 1.3.2 Proof of the density lemmas . 45 1.4 Sturmian Hamiltonian . 47 2 Mixed spectral types for the one frequency discrete quasi-periodic Schr¨odingeroperator 50 2.1 Introduction . -
The Absolutely Continuous Spectrum of the Almost Mathieu Operator
THE ABSOLUTELY CONTINUOUS SPECTRUM OF THE ALMOST MATHIEU OPERATOR ARTUR AVILA Abstract. We prove that the spectrum of the almost Mathieu operator is absolutely continuous if and only if the coupling is subcritical. This settles Problem 6 of Barry Simon’s list of Schr¨odinger operator problems for the twenty-first century. 1. Introduction This work is concerned with the almost Mathieu operator H = Hλ,α,θ defined on ℓ2(Z) (1.1) (Hu)n = un+1 + un−1 +2λ cos(2π[θ + nα])un where λ = 0 is the coupling, α R Q is the frequency and θ R is the phase. This is the6 most studied quasiperiodic∈ \ Schr¨odinger operator, arisin∈ g naturally as a physical model (see [L3] for a recent historical account and for the physics back- ground). We are interested in the decomposition of the spectral measures in atomic (corre- sponding to point spectrum), singular continuous and absolutely continuous parts. Our main result is the following. Main Theorem. The spectral measures of the almost Mathieu operator are abso- lutely continuous if and only if λ < 1. | | 1.1. Background. Singularity of the spectral measures for λ 1 had been pre- viously established (it follows from [LS], [L1], [AK]). Thus| | the ≥ Main Theorem reduces to showing absolute continuity of the spectral measures for λ < 1, which is Problem 6 of Barry Simon’s list [S3]. | | We recall the history of this problem (following [J]). Aubry-Andr´econjectured the following dependence on λ of the nature of the spectral measures: arXiv:0810.2965v1 [math.DS] 16 Oct 2008 (1) (Supercritical regime) For λ > 1, spectral measures are pure point, (2) (Subcritical regime) For λ| <| 1, spectral measures are absolutely continu- ous. -
Semi-Classical Analysis and Harper's Equation –An Introduction
Semi-classical analysis and Harper's equation {An introduction{ Crash course1 at Tsinghua University Bernard Helffer Universit´ede Nantes and CNRS Laboratoire de Math´ematique J. Leray. 44322 Nantes Cedex, France November 9, 2018 1The author was kindly invited by YanHui Qu Abstract Since the description in 1976 of the beautiful butterfly by the physicist Hofstadter interpreted as the spectra of a family of operators (called almost Mathieu or Harper's operator) parametrized by some flux, a huge literature has been written for understanding the properties of these spectra. After a presentation of the subject, these lectures will be devoted to the description of the results of Helffer-Sj¨ostrand(at the end of the eighties) based on an illuminating strategy proposed by the physicist M. Wilkinson in 1985. This leads to the proof of the Cantor structure of the spectrum for the Harper model for a some specific family of irrational fluxes (characterized on its expansion in continuous fractions). This was a very particular case of the ten Martinis conjecture of M. Kac popularized by B. Simon and which was finally proved in (2009) by A. Avila, S. Jitomirskaya and coauthors for any irrational. The goal is to explain how semi-classical analysis appears in the analysis of this problem. The analysis of the spectrum of the Harper's model can indeed be done for some fluxes by semi-classical analysis and in this case can give a more precise information on the spectrum than simply its Cantor structure. If it seems to be impossible in these lectures to give a complete proof of the results (the use of the FBI techniques mainly due to J. -
Spring 2019 Fine Letters
Spring 2019 • Issue 8 Department of MATHEMATICS Princeton University From the Chair Professor Allan Sly Receives MacArthur Fellowship Congratulations to Sly works on an area of probability retical computer science, where a key the Class of 2019 theory with applications from the goal often is to understand whether and all the finishing physics of magnetic materials to it is likely or unlikely that a large set graduate students. computer science and information of randomly imposed constraints on a Congratulations theory. His work investigates thresh- system can be satisfied. Sly has shown to the members of olds at which complex networks mathematically how such systems of- class of 2018 and suddenly change from having one ten reach a threshold at which solving new Ph. D.s who set of properties to another. Such a particular problem shifts from likely are reading Fine Letters for the first questions originally arose in phys- or unlikely. Sly has used a party invi- time as alumni. As we all know, the ics, where scientists observed such tation list as an analogy for the work: Math major is a great foundation for shifts in the magnetism of certain As you add interpersonal conflicts a diverse range of endeavors. This metal alloys. Sly provided a rigorous among a group of potential guests, it is exemplified by seventeen '18's who mathematical proof of the shift and can suddenly become effectively im- have gone to industry and seventeen a framework for identifying when possible to create a workable party. to grad school; ten to advanced study such shifts occur. -
Laudatio for Michael Aizenman NAW 5/4 Nr
Aernout van Enter, Frank den Hollander Laudatio for Michael Aizenman NAW 5/4 nr. 2 juni 2003 107 Aernout van Enter Frank den Hollander Instituut voor theoretische natuurkunde Eurandom Rijksuniversiteit Groningen Technische Universiteit Eindhoven Nijenborgh 4, 9747 AG Groningen Postbus 513, 5600 MB Eindhoven [email protected] [email protected] Laudatio Laudatio for Michael Aizenman Eens per drie jaar reikt het Wiskundig Ge- Michael is the author of seventy-five research or ‘down’) or as particles (‘occupied’ or ‘emp- nootschap in opdracht van de Koninklijke Ne- papers in journals of mathematics, physics ty’). Their finite-volume conditional distribu- derlandse Academie van Wetenschappen de and mathematical physics. He has collaborat- tions (i.e., the probabilities of events inside a Brouwermedaille uit aan een internationaal ed with many co-authors on a broad range of finite volume given the state outside) are pre- toonaangevend onderzoeker. Hij wordt uit- topics. Much of his work is inspired by proba- scribed by a nearest-neighbor interaction that genodigd om een voordracht te geven op het bility theory and statistical physics, both clas- tends to ‘align spins’ or ‘glue together parti- Nederlands Mathematisch Congres, waar na sical and quantum. In his papers he typically cles’ and that contains the temperature as a afloop de laureaat de Brouwermedaille wordt ‘rides several horses at the same time’, in the parameter. At low temperature and in two uitgereikt. In 2002 werd de medaille toege- sense that cross-fertilization between differ- or more dimensions, there exists more than kend aan Michael Aizenman voor zijn bijdra- ent areas in physics and mathematics is at one infinite-volume probability measure hav- ge aan de mathematische fysica. -
A Life in Statistical Mechanics Part 1: from Chedar in Taceva to Yeshiva University in New York
Eur. Phys. J. H 42, 1–21 (2017) DOI: 10.1140/epjh/e2017-80006-9 THE EUROPEAN PHYSICAL JOURNAL H Oral history interview A life in statistical mechanics Part 1: From Chedar in Taceva to Yeshiva University in New York Joel L. Lebowitz1,a and Luisa Bonolis2,b 1 Departments of Mathematics and Physics, Rutgers, The State University, 110 Frelinghuysen Road, Piscataway, NJ 08854, USA 2 Max Planck Institute for the History of Science, Boltzmannstrasse 22, 14195 Berlin, Germany Received 10 February 2017 / Accepted 10 February 2017 Published online 4 April 2017 c The Author(s) 2017. This article is published with open access at Springerlink.com Abstract. This is the first part of an oral history interview on the life- long involvement of Joel Lebowitz in the development of statistical mechanics. Here the covered topics include the formative years, which overlapped the tragic period of Nazi power and World War II in Eu- rope, the emigration to the United States in 1946 and the schooling there. It also includes the beginnings and early scientific works with Peter Bergmann, Oliver Penrose and many others. The second part will appear in a forthcoming issue of Eur. Phys. J. H. 1 From war ravaged Europe to New York L. B. Let’s start from the very beginning. Where were you born? J. L. I was born in Taceva, a small town in the Carpathian mountains, in an area which was at that time part of Czechoslovakia, on the border of Romania and about a hundred kilometers from Poland. That was in 1930, and the town then had a population of about ten thousand people, a small town, but fairly advanced. -
Equilibrium Measures and Capacities in Spectral Theory
EQUILIBRIUM MEASURES AND CAPACITIES IN SPECTRAL THEORY BARRY SIMON∗ Abstract. This is a comprehensive review of the uses of potential theory in studying the spectral theory of orthogonal polynomials. Much of the article focuses on the Stahl–Totik theory of regular measures, especially the case of OPRL and OPUC. Links are made to the study of ergodic Schr¨odinger operators where one of our new results implies that, in complete generality, the spectral measure is supported on a set of zero Hausdorff dimension (indeed, of capacity zero) in the region of strictly positive Lyapunov exponent. There are many examples and some new conjectures and indications of new research directions. Included are appendices on potential the- ory and on Fekete–Szeg˝otheory. 1. Introduction This paper deals with applications of potential theory to spectral and inverse spectral theory, mainly to orthogonal polynomials especially on the real line (OPRL) and unit circle (OPUC). This is an area that has traditionally impacted both the orthogonal polynomial community and the spectral theory community with insufficient interrelation. The OP approach emphasizes the procedure of going from measure to recursion parameters, that is, the inverse spectral problem, while spectral theo- rists tend to start with recursion parameters and so work with direct spectral theory. Potential theory ideas in the orthogonal polynomial community go back at least to a deep 1919 paper of Faber [35] and a seminal 1924 paper of Szeg˝o[107] with critical later developments of Kalm´ar [63] and Date: August 23, 2007. 2000 Mathematics Subject Classification. Primary: 31A15, 05E35, 34L05. Sec- ondary: 31A35, 33D45, 34P05. -
09W5055 Statistical Mechanics on Random Structures
09w5055 Statistical Mechanics on Random Structures Anton Bovier (Rheinische Friedrich-Wilhelms-Universitat¨ Bonn), Pierluigi Contucci (University of Bologna), Frank den Hollander (University of Leiden and EURANDOM), Cristian Giardina` (TU Eindhoven and EURANDOM). 15 November - 20 November 2009 1 Overview of the Field The theme of the workshop has been equilibrium and non-equilibrium statistical mechanics in a random spatial setting. Put differently, the question was what happens when the world of interacting particle systems is put together with the world of disordered media. This area of research is lively and thriving, with a constant flow of new ideas and exciting developments, in the best of the tradition of mathematical physics. Spin glasses were at the core of the program, but in a broad sense. Spin glass theory has found ap- plications in a wide range of areas, including information theory, coding theory, algorithmics, complexity, random networks, population genetics, epidemiology and finance. This opens up many new challenges to mathematics. 2 Recent Developments and Open Problems The workshop brought together researchers whose interest lies at the intersection of disordered statistical mechanics and random graph theory, with a clear emphasis on applications. The multidisciplinary nature of the proposed topics has attracted research groups with different backgrounds and thus provided exchange of ideas with cross-fertilisation. As an example, we mention two problems on which we focused during the workshop. The first problem has its origin in the many fundamental issues that are still open in the theory of spin glasses. Even tough today we have a rigorous proof, in the context of mean-field models, of the solution for the free energy first proposed by G. -
A Guide to Brownian Motion and Related Stochastic Processes
Vol. 0 (0000) A guide to Brownian motion and related stochastic processes Jim Pitman and Marc Yor Dept. Statistics, University of California, 367 Evans Hall # 3860, Berkeley, CA 94720-3860, USA e-mail: [email protected] Abstract: This is a guide to the mathematical theory of Brownian mo- tion and related stochastic processes, with indications of how this theory is related to other branches of mathematics, most notably the classical the- ory of partial differential equations associated with the Laplace and heat operators, and various generalizations thereof. As a typical reader, we have in mind a student, familiar with the basic concepts of probability based on measure theory, at the level of the graduate texts of Billingsley [43] and Durrett [106], and who wants a broader perspective on the theory of Brow- nian motion and related stochastic processes than can be found in these texts. Keywords and phrases: Markov process, random walk, martingale, Gaus- sian process, L´evy process, diffusion. AMS 2000 subject classifications: Primary 60J65. Contents 1 Introduction................................. 3 1.1 History ................................ 3 1.2 Definitions............................... 4 2 BM as a limit of random walks . 5 3 BMasaGaussianprocess......................... 7 3.1 Elementarytransformations . 8 3.2 Quadratic variation . 8 3.3 Paley-Wiener integrals . 8 3.4 Brownianbridges........................... 10 3.5 FinestructureofBrownianpaths . 10 arXiv:1802.09679v1 [math.PR] 27 Feb 2018 3.6 Generalizations . 10 3.6.1 FractionalBM ........................ 10 3.6.2 L´evy’s BM . 11 3.6.3 Browniansheets ....................... 11 3.7 References............................... 11 4 BMasaMarkovprocess.......................... 12 4.1 Markovprocessesandtheirsemigroups. 12 4.2 ThestrongMarkovproperty. 14 4.3 Generators ............................. -
Spectral Decimation of a Self-Similar Version of Almost Mathieu-Type Operators
SPECTRAL DECIMATION OF A SELF-SIMILAR VERSION OF ALMOST MATHIEU-TYPE OPERATORS RADHAKRISHNAN BALU, GAMAL MOGRABY, KASSO A. OKOUDJOU, AND ALEXANDER TEPLYAEV Abstract. We introduce self-similar versions of the one-dimensional almost Mathieu operators. Our defi- nition is based on a class of self-similar Laplacians instead of the standard discrete Laplacian, and includes the classical almost Mathieu operators as a particular case. Our main result establishes that the spectra of these self-similar almost Mathieu operators can be completely described by the spectra of the corresponding self-similar Laplacians through the spectral decimation framework used in the context of spectral analysis on fractals. In addition, the self-similar structure of our model provides a natural finite graph approximation model. This approximation is not only helpful in executing the numerical simulation, but is also useful in finding the spectral decimation function via Schur complement computations of given finite-dimensional matrices. The self-similar Laplacians used in our model were considered recently by Chen and Teplyaev [23] who proved the emergence of singularly continuous spectra for specific parameters. We use this result to arrive at similar conclusions in the context of the self-similar almost Mathieu operators. Finally, we derive an explicit formula of the integrated density of states of the self-similar almost Mathieu operators as the weighted pre-images of the balanced invariant measure on a specific Julia set. Contents 1. Introduction 1 2. Self-similar Laplacians and almost Mathieu operators4 2.1. Self-similar p Laplacians on the half-integer lattice4 2.2. The self-similar almost Mathieu operators7 3. -
A Mathematical Physicist's Perspective on Statistical Mechanics
A mathematical physicist’s perspective on Statistical Mechanics Michael Aizenman Princeton University André Aisenstadt Lecture (I) CRM, Montreal Sept. 24, 2018 1 /14 Statistical mechanics explains and quantifies the process by which structure emerges from chaos. Its genesis is in Boltzmann’s explanation of thermodynamical behavior and in particular of the concept of entropy. The statistic mechanical perspective was instrumental for Planck’s theory of the light quantization and Einstein’s calculation of the Avogadro number. More recent developments include links between the physics of critical phenomena and the mathematics of conformally invariant random structures, stochastic integrability, and representation theory. The talk will focus on examples of observations and conjectures which turned out to point in fruitful directions. 2 /14 Statistical Mechanics: laws emerging from chaos Laws expressed in equations F = ma, E = mc2, PV = nRT . A bird of a seemingly different feather: ∆S ≥ 0 . Q: what is entropy? L. Boltzmann: Thermodynamics emerges from Statistical Mechanics! Stat-Mech starts with a quantification of chaos: S = kB log W StatMech perspective was embraced and used for further developments by: M. Planck ) quantum theory of light (surmised from the black body radiation) A. Einstein ) Avogadro number from Brownian motion (exp. Perrin) −itH R. Feynman ) path representation of quantum dynamics: Ψt = e Ψ0 J. Wheeler: “There is no law except the law that there is no law.” Paraphrased: all physics laws are emergent features. 3 /14 Statistical Mechanics: laws emerging from chaos Laws expressed in equations F = ma, E = mc2, PV = nRT . A bird of a seemingly different feather: ∆S ≥ 0 . Q: what is entropy? L. -
Lifschitz Tail and Wiener Sausage, I
View metadata, citation and similar papers at core.ac.uk brought to you by CORE provided by Elsevier - Publisher Connector IOURNAL OF FUNCTIONAL ANALYSIS 94, 223-246 (1990) Lifschitz Tail and Wiener Sausage, I ALAIN-SOL SZNITMAN* Couranr Institute of Mathematical Sciences, 251 Mercer Street, Nent York, New York lOOI Communicated by L. Gross Received January 3, 1989 0. INTRODUCTION Consider a random distribution of obstacles on W”, da 1, given by a Poisson cloud of points, of intensity v d.u, v > 0, which are the centers of balls of radius c1> 0, constituting the obstacles. One can look at the sequence of random eigenvalues of - $A in the ball B, centered at the origin with large radius ZV,when imposing Dirichlet boundary conditions on the obstacles intersecting B,, as well as on c?B,. If one divides by IBNI, the volume of B,, the empirical measure based on this infinite sequence of eigenvalues, it is known, see [l] for a review, that this new sequence of measures on [0, co) almost surely converges vaguely to a deterministic measure I on [0, co) called density of states, with Laplace transform L(t)= (2wsd” E&[exp{ -v 1W;l}] for t >O. (0.1) Here E& stands for Brownian bridge in time t expectation, and WY= UO<S<tB(X,, a) is the Wiener sausage of radius a of our Brownian bridge X. The study of small eigenvalues, and consequently that of I( [0, 11) for small 1 is of special interest, for it involves the collective behavior of the obstacles.