Spectral Theory and Geometry
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Spectral Geometry Spring 2016
Spectral Geometry Spring 2016 Michael Magee Lecture 5: The resolvent. Last time we proved that the Laplacian has a closure whose domain is the Sobolev space H2(M)= u L2(M): u L2(M), ∆u L2(M) . { 2 kr k2 2 } We view the Laplacian as an unbounded densely defined self-adjoint operator on L2 with domain H2. We also stated the spectral theorem. We’ll now ask what is the nature of the pro- jection valued measure associated to the Laplacian (its ‘spectral decomposition’). Until otherwise specified, suppose M is a complete Riemannian manifold. Definition 1. The resolvent set of the Laplacian is the set of λ C such that λI ∆isa bijection of H2 onto L2 with a boundedR inverse (with respect to L2 norms)2 − 1 2 2 R(λ) (λI ∆)− : L (M) H (M). ⌘ − ! The operator R(λ) is called the resolvent of the Laplacian at λ. We write spec(∆) = C −R and call it the spectrum. Note that the projection valued measure of ∆is supported in R 0. Otherwise one can find a function in H2(M)where ∆ , is negative, but since can be≥ approximated in Sobolev norm by smooth functions, thish will contradicti ∆ , = g( , )Vol 0. (1) h i ˆ r r ≥ Note then the spectral theorem implies that the resolvent set contains C R 0 (use the Borel functional calculus). − ≥ Theorem 2 (Stone’s formula [1, VII.13]). Let P be the projection valued measure on R associated to the Laplacan by the spectral theorem. The following formula relates the resolvent to P b 1 1 lim(2⇡i)− [R(λ + i✏) R(λ i✏)] dλ = P[a,b] + P(a,b) . -
Bounds of Eigenvalues on Riemannian Manifolds, Trends In
Trends in °c Higher Education Press Partial Di®erential Equations and International Press ALM 10, pp. 241{264 Beijing-Boston Bounds of Eigenvalues on Riemannian Manifolds Jun Ling¤ Zhiqin Luy Abstract In this paper, we ¯rst give a short review of the eigenvalue estimates of Laplace operator and SchrÄodingeroperators. Then we discuss the evolution of eigenvalues along the Ricci flow, and two new bounds of the ¯rst eigenvalue using gradient estimates. 2000 Mathematics Subject Classi¯cation: 58J50, 35P15, 53C21. Keywords and Phrases: Eigenvalue, lower bounds, upper bounds, Riemannian manifolds. 1 Introduction In this paper, we discuss the eigenvalue estimates of Laplace operator and SchrÄodin- ger operators. Let (M; g) be an n-dimensional compact connected Riemannian manifold with or without boundary. Let ¢ be the Laplacian of the metric g = i n (gij)n£n. In local coordinates fx gi=1, µ ¶ 1 Xn @ p @ ¢ = p det(g) gij ; @xi @xj det(g) i;j=1 ij where the matrix (g ) is the inverse matrix of g = (gij). We consider the following three eigenvalue problems on the manifold (M; g). ¤Department of Mathematics, Utah Valley University, Orem, UT 84058, USA. Email: [email protected]. Research partially supported by the NSF under the program `The Geomet- ric Evolution Equations and Related Topics' at the MSRI at Berkeley and by the UVU School of Science and Health. yDepartment of Mathematics, University of California, Irvine, CA 92697, USA. Email: [email protected]. Research partially supported by NSF grant DMS 0347033. 242 J. Ling and Z. Lu Closed eigenvalue problem for the Laplacian. @M = ;. Find all real numbers ¸ for which there are nontrivial solutions u 2 C2(M) to the equations ¡¢u = ¸u: (1.1) Dirichlet eigenvalue problem for the Laplacian. -
Heat Kernels and Green's Functions on Limit Spaces
HEAT KERNELS AND GREEN'S FUNCTIONS ON LIMIT SPACES YU DING Abstract. In this paper, we study the behavior of the Laplacian on a sequence of n manifolds fMi g with a lower bound in Ricci curvature that converges to a metric- measure space M1. We prove that the heat kernels and Green's functions on n Mi will converge to some integral kernels on M1 which can be interpreted, in different cases, as the heat kernel and Green's function on M1. We also study the Laplacian on noncollapsed metric cones; these provide a unified treatment of the asymptotic behavior of heat kernels and Green's functions on noncompact manifolds with nonnegative Ricci curvature and Euclidean volume growth. In particular, we get a unified proof of the asymptotic formulae of Colding-Minicozzi, Li and Li-Tam- Wang. Introduction Assume M n is an n dimensional Riemannian manifold with a lower bound in Ricci curvature, (0.1) RicM n ≥ −(n − 1)Λ; where Λ ≥ 0. By the Bishop-Gromov inequality, we have a uniform volume doubling condition, κ (0.2) Vol(B2R(p)) ≤ 2 Vol(BR(p)); here we can take κ = n if Λ = 0; if Λ > 0, we require that R is bounded from above, say, R < D for some D > 0. Moreover, there is a uniform Poincare inequality Z Z 1 1 2 1 (0.3) jf − fp;Rj ≤ τR( jdfj ) 2 ; Vol(BR(p)) BR(p) Vol(BR(p)) BR(p) where fp;R is the average of f on BR(p); see [Bu], [Ch3], [HaKo] and the references therein. -
Spectral Geometry for Structural Pattern Recognition
Spectral Geometry for Structural Pattern Recognition HEWAYDA EL GHAWALBY Ph.D. Thesis This thesis is submitted in partial fulfilment of the requirements for the degree of Doctor of Philosophy. Department of Computer Science United Kingdom May 2011 Abstract Graphs are used pervasively in computer science as representations of data with a network or relational structure, where the graph structure provides a flexible representation such that there is no fixed dimensionality for objects. However, the analysis of data in this form has proved an elusive problem; for instance, it suffers from the robustness to structural noise. One way to circumvent this problem is to embed the nodes of a graph in a vector space and to study the properties of the point distribution that results from the embedding. This is a problem that arises in a number of areas including manifold learning theory and graph-drawing. In this thesis, our first contribution is to investigate the heat kernel embed- ding as a route to computing geometric characterisations of graphs. The reason for turning to the heat kernel is that it encapsulates information concerning the distribution of path lengths and hence node affinities on the graph. The heat ker- nel of the graph is found by exponentiating the Laplacian eigensystem over time. The matrix of embedding co-ordinates for the nodes of the graph is obtained by performing a Young-Householder decomposition on the heat kernel. Once the embedding of its nodes is to hand we proceed to characterise a graph in a geometric manner. With the embeddings to hand, we establish a graph character- ization based on differential geometry by computing sets of curvatures associated ii Abstract iii with the graph nodes, edges and triangular faces. -
The Notion of Observable and the Moment Problem for ∗-Algebras and Their GNS Representations
The notion of observable and the moment problem for ∗-algebras and their GNS representations Nicol`oDragoa, Valter Morettib Department of Mathematics, University of Trento, and INFN-TIFPA via Sommarive 14, I-38123 Povo (Trento), Italy. [email protected], [email protected] February, 17, 2020 Abstract We address some usually overlooked issues concerning the use of ∗-algebras in quantum theory and their physical interpretation. If A is a ∗-algebra describing a quantum system and ! : A ! C a state, we focus in particular on the interpretation of !(a) as expectation value for an algebraic observable a = a∗ 2 A, studying the problem of finding a probability n measure reproducing the moments f!(a )gn2N. This problem enjoys a close relation with the selfadjointness of the (in general only symmetric) operator π!(a) in the GNS representation of ! and thus it has important consequences for the interpretation of a as an observable. We n provide physical examples (also from QFT) where the moment problem for f!(a )gn2N does not admit a unique solution. To reduce this ambiguity, we consider the moment problem n ∗ (a) for the sequences f!b(a )gn2N, being b 2 A and !b(·) := !(b · b). Letting µ!b be a n solution of the moment problem for the sequence f!b(a )gn2N, we introduce a consistency (a) relation on the family fµ!b gb2A. We prove a 1-1 correspondence between consistent families (a) fµ!b gb2A and positive operator-valued measures (POVM) associated with the symmetric (a) operator π!(a). In particular there exists a unique consistent family of fµ!b gb2A if and only if π!(a) is maximally symmetric. -
Asymptotic Spectral Measures: Between Quantum Theory and E
Asymptotic Spectral Measures: Between Quantum Theory and E-theory Jody Trout Department of Mathematics Dartmouth College Hanover, NH 03755 Email: [email protected] Abstract— We review the relationship between positive of classical observables to the C∗-algebra of quantum operator-valued measures (POVMs) in quantum measurement observables. See the papers [12]–[14] and theB books [15], C∗ E theory and asymptotic morphisms in the -algebra -theory of [16] for more on the connections between operator algebra Connes and Higson. The theory of asymptotic spectral measures, as introduced by Martinez and Trout [1], is integrally related K-theory, E-theory, and quantization. to positive asymptotic morphisms on locally compact spaces In [1], Martinez and Trout showed that there is a fundamen- via an asymptotic Riesz Representation Theorem. Examples tal quantum-E-theory relationship by introducing the concept and applications to quantum physics, including quantum noise of an asymptotic spectral measure (ASM or asymptotic PVM) models, semiclassical limits, pure spin one-half systems and quantum information processing will also be discussed. A~ ~ :Σ ( ) { } ∈(0,1] →B H I. INTRODUCTION associated to a measurable space (X, Σ). (See Definition 4.1.) In the von Neumann Hilbert space model [2] of quantum Roughly, this is a continuous family of POV-measures which mechanics, quantum observables are modeled as self-adjoint are “asymptotically” projective (or quasiprojective) as ~ 0: → operators on the Hilbert space of states of the quantum system. ′ ′ A~(∆ ∆ ) A~(∆)A~(∆ ) 0 as ~ 0 The Spectral Theorem relates this theoretical view of a quan- ∩ − → → tum observable to the more operational one of a projection- for certain measurable sets ∆, ∆′ Σ. -
Noncommutative Geometry, the Spectral Standpoint Arxiv
Noncommutative Geometry, the spectral standpoint Alain Connes October 24, 2019 In memory of John Roe, and in recognition of his pioneering achievements in coarse geometry and index theory. Abstract We update our Year 2000 account of Noncommutative Geometry in [68]. There, we de- scribed the following basic features of the subject: I The natural “time evolution" that makes noncommutative spaces dynamical from their measure theory. I The new calculus which is based on operators in Hilbert space, the Dixmier trace and the Wodzicki residue. I The spectral geometric paradigm which extends the Riemannian paradigm to the non- commutative world and gives a new tool to understand the forces of nature as pure gravity on a more involved geometric structure mixture of continuum with the discrete. I The key examples such as duals of discrete groups, leaf spaces of foliations and de- formations of ordinary spaces, which showed, very early on, that the relevance of this new paradigm was going far beyond the framework of Riemannian geometry. Here, we shall report1 on the following highlights from among the many discoveries made since 2000: 1. The interplay of the geometry with the modular theory for noncommutative tori. 2. Great advances on the Baum-Connes conjecture, on coarse geometry and on higher in- dex theory. 3. The geometrization of the pseudo-differential calculi using smooth groupoids. 4. The development of Hopf cyclic cohomology. 5. The increasing role of topological cyclic homology in number theory, and of the lambda arXiv:1910.10407v1 [math.QA] 23 Oct 2019 operations in archimedean cohomology. 6. The understanding of the renormalization group as a motivic Galois group. -
Spectral Theory of Translation Surfaces : a Short Introduction Volume 28 (2009-2010), P
Institut Fourier — Université de Grenoble I Actes du séminaire de Théorie spectrale et géométrie Luc HILLAIRET Spectral theory of translation surfaces : A short introduction Volume 28 (2009-2010), p. 51-62. <http://tsg.cedram.org/item?id=TSG_2009-2010__28__51_0> © Institut Fourier, 2009-2010, tous droits réservés. L’accès aux articles du Séminaire de théorie spectrale et géométrie (http://tsg.cedram.org/), implique l’accord avec les conditions générales d’utilisation (http://tsg.cedram.org/legal/). cedram Article mis en ligne dans le cadre du Centre de diffusion des revues académiques de mathématiques http://www.cedram.org/ Séminaire de théorie spectrale et géométrie Grenoble Volume 28 (2009-2010) 51-62 SPECTRAL THEORY OF TRANSLATION SURFACES : A SHORT INTRODUCTION Luc Hillairet Abstract. — We define translation surfaces and, on these, the Laplace opera- tor that is associated with the Euclidean (singular) metric. This Laplace operator is not essentially self-adjoint and we recall how self-adjoint extensions are chosen. There are essentially two geometrical self-adjoint extensions and we show that they actually share the same spectrum Résumé. — On définit les surfaces de translation et le Laplacien associé à la mé- trique euclidienne (avec singularités). Ce laplacien n’est pas essentiellement auto- adjoint et on rappelle la façon dont les extensions auto-adjointes sont caractérisées. Il y a deux choix naturels dont on montre que les spectres coïncident. 1. Introduction Spectral geometry aims at understanding how the geometry influences the spectrum of geometrically related operators such as the Laplace oper- ator. The more interesting the geometry is, the more interesting we expect the relations with the spectrum to be. -
Discrete Spectral Geometry
Discrete Spectral Geometry Discrete Spectral Geometry Amir Daneshgar Department of Mathematical Sciences Sharif University of Technology Hossein Hajiabolhassan is mathematically dense in this talk!! May 31, 2006 Discrete Spectral Geometry Outline Outline A viewpoint based on mappings A general non-symmetric discrete setup Weighted energy spaces Comparison and variational formulations Summary A couple of comparison theorems Graph homomorphisms A comparison theorem The isoperimetric spectrum ε-Uniformizers Symmetric spaces and representation theory Epilogue Discrete Spectral Geometry A viewpoint based on mappings Basic Objects I H is a geometric objects, we are going to analyze. Discrete Spectral Geometry A viewpoint based on mappings Basic Objects I There are usually some generic (i.e. well-known, typical, close at hand, important, ...) types of these objects. Discrete Spectral Geometry A viewpoint based on mappings Basic Objects (continuous case) I These are models and objects of Euclidean and non-Euclidean geometry. Discrete Spectral Geometry A viewpoint based on mappings Basic Objects (continuous case) I Two important generic objects are the sphere and the upper half plane. Discrete Spectral Geometry A viewpoint based on mappings Basic Objects (discrete case) I Some important generic objects in this case are complete graphs, infinite k-regular tree and fractal-meshes in Rn. Discrete Spectral Geometry A viewpoint based on mappings Basic Objects (discrete case) I These are models and objects in network analysis and design, discrete state-spaces of algorithms and discrete geometry (e.g. in geometric group theory). Discrete Spectral Geometry A viewpoint based on mappings Comparison method I The basic idea here is to try to understand (or classify if we are lucky!) an object by comparing it with the generic ones. -
STRUCTURE of the LAPLACIAN on BOUNDED DOMAINS Contents 1. Introduction 1 2. Rellich's Compactness Lemma 4 3. Spectral Theory O
STRUCTURE OF THE LAPLACIAN ON BOUNDED DOMAINS TSOGTGEREL GANTUMUR Contents 1. Introduction1 2. Rellich’s compactness lemma4 3. Spectral theory of compact self-adjoint operators9 4. Application to the Laplace eigenproblems 12 5. Courant’s minimax principle 16 6. Weyl’s asymptotic law 19 7. Problems and exercises 21 1. Introduction In this chapter, we will be concerned with the eigenvalue problem − ∆u = λu, (1) n in a bounded open set Ω ⊂ R , with either the Dirichlet u = 0 or the Neumann @νu = 0 condition on the boundary @Ω. The unknown in the problem is the pair (u; λ) where u is a function and λ is a number. If (u; λ) is a solution then u is called an eigenfunction, and λ is called the eigenvalue associated to u. Let us note the following. • Since the right hand side involves λu, the problem is not linear. • If (u; λ) is a solution then so is (αu; λ) for any number α. • We exclude the trivial solution u = 0 from all considerations. We have studied the problem −∆u+tu = f with the Dirichlet or Neumann boundary conditions, 2 where t 2 R and f 2 L (Ω) are given. Since (1) is equivalent to −∆u + tu = 0 with t = −λ, we 1 1 can give the following weak formulation for (1). Let V be either H0 (Ω) or H (Ω), depending on the boundary condition we wish to impose. Then the problem is to find u 2 V and λ 2 R satisfying Z Z ru · rv = λ uv for all v 2 V: (2) Ω Ω We know that a unique weak solution u 2 V to −∆u + tu = f exists if t > t0, where t0 = 0 for the Neumann case, and t0 < 0 for the Dirichlet case. -
Pose Analysis Using Spectral Geometry
Vis Comput DOI 10.1007/s00371-013-0850-0 ORIGINAL ARTICLE Pose analysis using spectral geometry Jiaxi Hu · Jing Hua © Springer-Verlag Berlin Heidelberg 2013 Abstract We propose a novel method to analyze a set 1 Introduction of poses of 3D models that are represented with trian- gle meshes and unregistered. Different shapes of poses are Shape deformation is one of the major research topics in transformed from the 3D spatial domain to a geometry spec- computer graphics. Recently there have been extensive lit- trum domain that is defined by Laplace–Beltrami opera- eratures on this topic. There are two major categories of re- tor. During this space-spectrum transform, all near-isometric searches on this topic. One is surface-based and the other deformations, mesh triangulations and Euclidean transfor- one is skeleton-driven method. Shape interpolation [2, 9, 11] mations are filtered away. The different spatial poses from is a surface-based approach. The basic idea is that given two a 3D model are represented with near-isometric deforma- key frames of a shape, the intermediate deformation can be tions; therefore, they have similar behaviors in the spec- generated with interpolation and further deformations can be tral domain. Semantic parts of that model are then deter- predicted with extrapolation. It can also blend among sev- mined based on the computed geometric properties of all the eral shapes. Shape interpolation is convenient for animation mapped vertices in the geometry spectrum domain. Seman- generation but is not flexible enough for shape editing due tic skeleton can be automatically built with joints detected to the lack of local control. -
ASYMPTOTICALLY ISOSPECTRAL QUANTUM GRAPHS and TRIGONOMETRIC POLYNOMIALS. Pavel Kurasov, Rune Suhr
ISSN: 1401-5617 ASYMPTOTICALLY ISOSPECTRAL QUANTUM GRAPHS AND TRIGONOMETRIC POLYNOMIALS. Pavel Kurasov, Rune Suhr Research Reports in Mathematics Number 2, 2018 Department of Mathematics Stockholm University Electronic version of this document is available at http://www.math.su.se/reports/2018/2 Date of publication: Maj 16, 2018. 2010 Mathematics Subject Classification: Primary 34L25, 81U40; Secondary 35P25, 81V99. Keywords: Quantum graphs, almost periodic functions. Postal address: Department of Mathematics Stockholm University S-106 91 Stockholm Sweden Electronic addresses: http://www.math.su.se/ [email protected] Asymptotically isospectral quantum graphs and generalised trigonometric polynomials Pavel Kurasov and Rune Suhr Dept. of Mathematics, Stockholm Univ., 106 91 Stockholm, SWEDEN [email protected], [email protected] Abstract The theory of almost periodic functions is used to investigate spectral prop- erties of Schr¨odinger operators on metric graphs, also known as quantum graphs. In particular we prove that two Schr¨odingeroperators may have asymptotically close spectra if and only if the corresponding reference Lapla- cians are isospectral. Our result implies that a Schr¨odingeroperator is isospectral to the standard Laplacian on a may be different metric graph only if the potential is identically equal to zero. Keywords: Quantum graphs, almost periodic functions 2000 MSC: 34L15, 35R30, 81Q10 Introduction. The current paper is devoted to the spectral theory of quantum graphs, more precisely to the direct and inverse spectral theory of Schr¨odingerop- erators on metric graphs [3, 20, 24]. Such operators are defined by three parameters: a finite compact metric graph Γ; • a real integrable potential q L (Γ); • ∈ 1 vertex conditions, which can be parametrised by unitary matrices S.