Line integrals of 1-forms on the Sierpinski gasket
|
|
- Marcus Webb
- 6 years ago
- Views:
Transcription
1 Line integrals of 1-forms on the Sierpinski gasket Università di Roma Tor Vergata - in collaboration with F. Cipriani, D. Guido, J-L. Sauvageot Cambridge, 27th July 2010 Line integrals of
2 Outline The Sierpinski gasket 1 The Sierpinski gasket 2 3 Line integrals of
3 Outline The Sierpinski gasket 1 The Sierpinski gasket 2 3 Line integrals of
4 Definition The Sierpinski gasket T R 2 equilateral triangle, side length 1, vertices V 0 := {v 1, v 2, v 3 } w i : x R (x v i) + v i R 2, i = 1, 2, 3 Then there is a unique compact K R 2 s.t. K = W (K ) 3 i=1 w i(k ), also obtained as lim n W n (T ). K is called Sierpinski gasket.... Line integrals of
5 Definitions The Sierpinski gasket K Σ Similarities: w σ = w σ1... w σn, σ = n Cells: K σ = w σ (K ) Then K = σ =n K σ Edges: E = n E n, E 0 = {e 1, e 2, e 3 }, E n = {w σ (e), σ = n, e E 0 }. o(e) = origin of e, t(e) = terminus of e Lacunas: l σ = w σ (l) Line integrals of
6 Definitions The Sierpinski gasket e 1 e 2 e 3 Similarities: w σ = w σ1... w σn, σ = n Cells: K σ = w σ (K ) Then K = σ =n K σ Edges: E = n E n, E 0 = {e 1, e 2, e 3 }, E n = {w σ (e), σ = n, e E 0 }. o(e) = origin of e, t(e) = terminus of e Lacunas: l σ = w σ (l) Line integrals of
7 Definitions The Sierpinski gasket Similarities: w σ = w σ1... w σn, σ = n Cells: K σ = w σ (K ) Then K = σ =n K σ Edges: E = n E n, E 0 = {e 1, e 2, e 3 }, E n = {w σ (e), σ = n, e E 0 }. o(e) = origin of e, t(e) = terminus of e Lacunas: l σ = w σ (l) Line integrals of
8 Topological and metric properties K is connected, locally connected, arcwise connected, but it is not semilocally simply connected [ = no universal cover]. α-dimensional Hausdorff measure of E R n : H α (E) := lim δ 0 Hausdorff dimension of E: inf E i A i diam A i δ (diam A i ) α i=1 d H (E) = inf{α > 0 : H α (E) = 0} = sup{α > 0 : H α (E) = + } Then d H (K ) = log 3 log 2 =: d, Hd (K ) (0, ), and H d (K ) = i=1 Hd (w 1 i (K )). Line integrals of
9 Dirichlet form Different way of approximating K : sequence of graphs (V n, E n )... Dirichlet (or energy) form on (V n, E n ): E n [f ] := x y (f (x) f (y))2. Then ( 5 nen 3) [f ] E[f ]. Set F := {f : E[f ] < }. Then F C(K ). Choose Borel regular prob. measure µ on K. Then (E, F) is local regular Dirichlet form on L 2 (K, µ). Therefore E(f, g) = (f, µ g), µ 0, compact resolvent. Line integrals of
10 Dirichlet form Different way of approximating K : sequence of graphs (V n, E n )... Dirichlet (or energy) form on (V n, E n ): E n [f ] := x y (f (x) f (y))2. Then ( 5 nen 3) [f ] E[f ]. Set F := {f : E[f ] < }. Then F C(K ). Choose Borel regular prob. measure µ on K. Then (E, F) is local regular Dirichlet form on L 2 (K, µ). Therefore E(f, g) = (f, µ g), µ 0, compact resolvent. Line integrals of
11 Laplacian for Bernoulli measure Different construction of µ for µ Bernoulli measure. for f : V n \ V 0 R set n f (x) := y x (f (x) f (y)) for f C(K ) set f (x) := 3 2 lim n 5 n n f (x), if limit dom( ) := {f C(K ) : f C(K )} F Obs. f dom( ) = f 2 dom( ). for f : V n R set ( f ν for f C(K ) set f ν (x) := lim n ( 5 3 Theorem (Gauss-Green) ) n (x) := y x (f (x) f (y)), x V 0 ) n ( f ) ν (x), if limit µ Bernoulli measure, f dom( ), g F. Then E(f, g) = K g f dµ + p V 0 g(p) f ν (p). n Line integrals of
12 Weyl-type asymptotics Classical Weyl asymptotic: Ω R n bdd connected open set. Define eigenvalue counting function: N(x) := λ x dim{f dom( ) : f = λf }. Then N(x) = cx n/2 (1 + o(1)), x. As for the gasket, G, a nonconstant 1 2 log 5-periodic function, s.t. N(x) = {G(log x 2 ) + o(1)}x ds/2, x, where d S := log 9 log 5, is the spectral exponent. Line integrals of
13 Harmonic functions for m N {0}, u : V m R,!f F s.t. f Vm = u, E[f ] = min{e[g] : g F, g Vm = u}. f is said m-harmonic. Theorem (weak maximum principle) f m-harmonic, σ multiindex, σ m, x w σ (K ). Then min wσ(v 0 ) f f (x) max wσ(v 0 ) f. Obs. Harmonic functions are dense in C(K ). Line integrals of
14 Outline The Sierpinski gasket 1 The Sierpinski gasket 2 3 Line integrals of
15 Universal 1-forms Want to construct differential 1-forms on K. d : g F 1 g g 1 F F Ω 1 (F) the F-bimodule generated by {fdg : f, g F}. It s called bimodule of universal 1-forms. Actions of F: { h.(fdg) = (hf )dg, h F (fdg).h = fd(gh) (fg)dh g(e) := g(t(e)) g(o(e)), g F, e E fdg Ω 1 (F). Line integrals of
16 1-forms The Sierpinski gasket Define (fdg, fdg) = lim n ( 5 3 bilinearity, fdg = lim n e e 1 E n,e 1 e ) n e E n f (o(e)) 2 g(e) 2, extended by f (o(e 1 )) g(e 1 ), extended by linearity. Then the limits above are well defined and finite for any ω Ω 1 (F), if e ω = 0 for any e E, then ω = 0. Definition (1-forms) Set Ω = Ω 1 (F)/, where ω 0 if e ω = 0 for any e. Line integrals of
17 n-exact 1-forms There exists a map {{f σ } σ =n, E Kσ [f σ ] < } ω Ω with ω Kσ = df σ. The form ω will be called n-exact. KΣ 0 σ Σ, let dz σ attain the min{ ω : ω Ω, is n + 1-exact, l σ ω = 1}. The form dz σ is zero on Kσ c, and is given by the (harmonic) function z σ on K σ. Then the set {dz σ } σ Σ is an orthogonal system, with dz σ 2 = 5/6(5/3) σ, the dz σ s are co-closed: (df, dz σ ) = 0, f F. Obs. Since K is topologically 1-dimensional, any 1-form is closed, hence we say that dz σ is a harmonic 1-form. Line integrals of
18 Hodge decomposition ω Ω!{k σ } σ Σ s.t., setting ω 0 = σ k σdz σ, we have N(k σ ) = sup n (5/3) n σ =n k σ <. ω 0 Ω, ω 0 2 = 5/6 σ (5/3) σ k σ 2 <, ω ω 0 is exact, i.e. U 1 F s.t. ω = du 1 + ω 0. Therefore ω = 0 = ω 0, i.e. Ω is a pre-hilbert space, Hodge decomposition: any 1-form in Ω can be uniquely decomposed into an exact and a harmonic part. Line integrals of
19 Outline The Sierpinski gasket 1 The Sierpinski gasket 2 3 Line integrals of
20 Coverings with finitely generated homotopy Let T = convex hull(k ), then i n : K T n := σ =n w σ (T ), i n : π 1 (K ) π 1 (T n ) = free group with #{ σ < n} generators. Let T n be the universal covering of T n. Then there exists a covering K n of K such that the diagram K n Tn p n K T n commutes, and deck( K n ) = deck( T n ) = π 1 (T n ). Line integrals of
21 Coverings with finitely generated homotopy The family {( K n, p n )} is projective. Take projective limit ( K, p) := lim ( K n, p n ). Then, any path γ in K has a lifting γ in K, unique up to the starting point. Obs. deck( K ) = lim deck(t n ) = ˇπ 1 (K ), the first Čech homotopy group of K, and ˇπ 1 (K ) π 1 (K ). Line integrals of
22 Abelian coverings A smaller covering. Set L n := K n /[deck( K n ), deck( K n )]. p n K n r n L n q n K Set ( L, q) = lim ( L n, q n ). Then deck( L) = lim deck( L n ), Then deck( L n ) = deck( K n )/[deck( K n ), deck( K n )] is a free abelian group with #{ σ < n} generators, {( L n, q n )} is a projective family. any path γ in K has a lifting γ in L, unique up to the starting point. Line integrals of
23 Affine functions. Potentials of n-exact 1-forms Say f C( K n ) is deck( K n )-affine if ϕ hom(deck( K n ), (C, +)) s.t. f (gx) f (x) = ϕ(g), x K n, g deck( K n ). Then Any n-exact 1-form ω has a unique (up to an additive constant) deck( K n )-affine potential U, for which e ω = U(e) := U(t(ẽ)) ( ) U(o(ẽ)), ẽ a lifting of e to K n 5 n ω 2 = E[U] = lim U(e) 2. n 3 e E n We denote by z σ the potential of dz σ. Line integrals of
24 Potentials of n-exact 1-forms live on abelian coverings Let ω, U, ϕ be as above. Since (C, +) is abelian, ϕ vanishes on commutators. Therefore, the potential U is a deck( L n )-affine function on L n. Obs. the projective limit topology on L is generated by {z σ : σ Σ}, any deck( L)-affine function on L is the lifting of a deck( L n )-affine function on L n, for some n. Line integrals of
25 Restricting the covering, pseudometrics ( ) 3 n sup a σ, so 5 σ =n a σ k σ N (a σ )N(k σ ), Set N (a σ ) = n σ and define d(x, y) = N ( z σ (y) z σ (x) ), x, y L. Then d is a pseudometric on L, namely a metric which is allowed to be infinite. The d-topology is finer than the projective limit topology. For any g deck( L), l(g) = d(x, gx) does not depend on x, and Γ = {g deck( L) : l(g) < } is a subgroup of deck( L). Γ acts on any d-component of L, namely on any subset of L consisting of points having finite mutual distance. Line integrals of
26 Integration on paths Any 1-form ω Ω has a Γ-affine potential U on any d-component of L. If ω = du 1 + σ k σdz σ, then U = U 0 + U 1, with U 0 = σ k σz σ. Such a sum converges uniformly on compact sets to a Γ-affine, d-continuous function on any d-component of L. Indeed, U 0 (x) U 0 (y) N(k σ )d(x, y). For any path γ in K, set l(γ) = d( γ(1), γ(0)). Then, if l(γ) <, and U is the potential of ω Ω, ω = U( γ(1)) U( γ(0)). γ Line integrals of
Noncommutative Geometry and Potential Theory on the Sierpinski Gasket
Noncommutative Geometry and Potential Theory on the Sierpinski Gasket Fabio Cipriani Dipartimento di Matematica Politecnico di Milano ( Joint works with D. Guido, T. Isola, J.-L. Sauvageot ) Neapolitan
More informationThe spectral decimation of the Laplacian on the Sierpinski gasket
The spectral decimation of the Laplacian on the Sierpinski gasket Nishu Lal University of California, Riverside Fullerton College February 22, 2011 1 Construction of the Laplacian on the Sierpinski gasket
More informationEnergy on fractals and related questions: about the use of differential 1-forms on the Sierpinski Gasket and other fractals
Energy on fractals and related questions: about the use of differential 1-forms on the Sierpinski Gasket and other fractals Part 2 A.Teplyaev University of Connecticut Rome, April May 2015 Main works to
More informationSpectral Triples on the Sierpinski Gasket
Spectral Triples on the Sierpinski Gasket Fabio Cipriani Dipartimento di Matematica Politecnico di Milano - Italy ( Joint works with D. Guido, T. Isola, J.-L. Sauvageot ) AMS Meeting "Analysis, Probability
More informationBOUNDARY VALUE PROBLEMS ON A HALF SIERPINSKI GASKET
BOUNDARY VALUE PROBLEMS ON A HALF SIERPINSKI GASKET WEILIN LI AND ROBERT S. STRICHARTZ Abstract. We study boundary value problems for the Laplacian on a domain Ω consisting of the left half of the Sierpinski
More informationAn Introduction to Self Similar Structures
An Introduction to Self Similar Structures Christopher Hayes University of Connecticut April 6th, 2018 Christopher Hayes (University of Connecticut) An Introduction to Self Similar Structures April 6th,
More informationRIEMANNIAN GEOMETRY COMPACT METRIC SPACES. Jean BELLISSARD 1. Collaboration:
RIEMANNIAN GEOMETRY of COMPACT METRIC SPACES Jean BELLISSARD 1 Georgia Institute of Technology, Atlanta School of Mathematics & School of Physics Collaboration: I. PALMER (Georgia Tech, Atlanta) 1 e-mail:
More informationFunction spaces and stochastic processes on fractals I. Takashi Kumagai. (RIMS, Kyoto University, Japan)
Function spaces and stochastic processes on fractals I Takashi Kumagai (RIMS, Kyoto University, Japan) http://www.kurims.kyoto-u.ac.jp/~kumagai/ International workshop on Fractal Analysis September 11-17,
More informationNontangential limits and Fatou-type theorems on post-critically finite self-similar sets
Nontangential limits and on post-critically finite self-similar sets 4th Cornell Conference on Analysis, Probability, and Mathematical Physics on Fractals Universidad de Colima Setting Boundary limits
More informationLAPLACIANS ON THE BASILICA JULIA SET. Luke G. Rogers. Alexander Teplyaev
Manuscript submitted to AIMS Journals Volume X, Number 0X, XX 200X Website: http://aimsciences.org pp. X XX LAPLACIANS ON THE BASILICA JULIA SET Luke G. Rogers Department of Mathematics, University of
More informationOverview of normed linear spaces
20 Chapter 2 Overview of normed linear spaces Starting from this chapter, we begin examining linear spaces with at least one extra structure (topology or geometry). We assume linearity; this is a natural
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 informationSelf-similar fractals as boundaries of networks
Self-similar fractals as boundaries of networks Erin P. J. Pearse ep@ou.edu University of Oklahoma 4th Cornell Conference on Analysis, Probability, and Mathematical Physics on Fractals AMS Eastern Sectional
More informationLAPLACIANS COMPACT METRIC SPACES. Sponsoring. Jean BELLISSARD a. Collaboration:
LAPLACIANS on Sponsoring COMPACT METRIC SPACES Jean BELLISSARD a Georgia Institute of Technology, Atlanta School of Mathematics & School of Physics Collaboration: I. PALMER (Georgia Tech, Atlanta) a e-mail:
More informationRIEMANN S INEQUALITY AND RIEMANN-ROCH
RIEMANN S INEQUALITY AND RIEMANN-ROCH DONU ARAPURA Fix a compact connected Riemann surface X of genus g. Riemann s inequality gives a sufficient condition to construct meromorphic functions with prescribed
More informationVector Analysis on Fractals
Vector Analysis on Fractals Daniel J. Kelleher Department of Mathematics Purdue University University Illinois Chicago Summer School Stochastic Analysis and Geometry Labor Day Weekend Introduction: Dirichlet
More informationSelf-similar fractals as boundaries of networks
Self-similar fractals as boundaries of networks Erin P. J. Pearse ep@ou.edu University of Oklahoma 4th Cornell Conference on Analysis, Probability, and Mathematical Physics on Fractals AMS Eastern Sectional
More informationDERIVATIONS, DIRICHLET FORMS AND SPECTRAL ANALYSIS
DERIVATIONS, DIRICHLET FORMS AND SPECTRAL ANALYSIS MARIUS IONESCU, LUKE G. ROGERS, AND ALEXANDER TEPLYAEV Abstract. We study derivations and Fredholm modules on metric spaces with a Dirichlet form. In
More informationFunctional Analysis. Franck Sueur Metric spaces Definitions Completeness Compactness Separability...
Functional Analysis Franck Sueur 2018-2019 Contents 1 Metric spaces 1 1.1 Definitions........................................ 1 1.2 Completeness...................................... 3 1.3 Compactness......................................
More informationThe uniform metric on product spaces
The uniform metric on product spaces Jordan Bell jordan.bell@gmail.com Department of Mathematics, University of Toronto April 3, 2014 1 Metric topology If (X, d) is a metric space, a X, and r > 0, then
More informationDensely defined non-closable curl on topologically one-dimensional Dirichlet metric measure spaces
Densely defined non-closable curl on topologically one-dimensional Dirichlet metric measure spaces Kansai Probability Seminar, Kyoto March 11, 2016 Universität Bielefeld joint with Alexander Teplyaev (University
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 information1 Math 241A-B Homework Problem List for F2015 and W2016
1 Math 241A-B Homework Problem List for F2015 W2016 1.1 Homework 1. Due Wednesday, October 7, 2015 Notation 1.1 Let U be any set, g be a positive function on U, Y be a normed space. For any f : U Y let
More informationNONCOMMUTATIVE. GEOMETRY of FRACTALS
AMS Memphis Oct 18, 2015 1 NONCOMMUTATIVE Sponsoring GEOMETRY of FRACTALS Jean BELLISSARD Georgia Institute of Technology, Atlanta School of Mathematics & School of Physics e-mail: jeanbel@math.gatech.edu
More informationSpectral Decimation for Families of Laplacians on the Sierpinski Gasket
Spectral Decimation for Families of Laplacians on the Sierpinski Gasket Seraphina Lee November, 7 Seraphina Lee Spectral Decimation November, 7 / 53 Outline Definitions: Sierpinski gasket, self-similarity,
More informationDISTRIBUTION THEORY ON P.C.F. FRACTALS
DISTRIBUTION THEORY ON P.C.F. FRACTALS LUKE G. ROGERS AND ROBERT S. STRICHARTZ Abstract. We construct a theory of distributions in the setting of analysis on post-critically finite self-similar fractals,
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 informationCHAPTER I THE RIESZ REPRESENTATION THEOREM
CHAPTER I THE RIESZ REPRESENTATION THEOREM We begin our study by identifying certain special kinds of linear functionals on certain special vector spaces of functions. We describe these linear functionals
More informationAnderson Localization on the Sierpinski Gasket
Anderson Localization on the Sierpinski Gasket G. Mograby 1 M. Zhang 2 1 Department of Physics Technical University of Berlin, Germany 2 Department of Mathematics Jacobs University, Germany 5th Cornell
More informationd(x n, x) d(x n, x nk ) + d(x nk, x) where we chose any fixed k > N
Problem 1. Let f : A R R have the property that for every x A, there exists ɛ > 0 such that f(t) > ɛ if t (x ɛ, x + ɛ) A. If the set A is compact, prove there exists c > 0 such that f(x) > c for all x
More informationFrom self-similar groups to intrinsic metrics on fractals
From self-similar groups to intrinsic metrics on fractals *D. J. Kelleher 1 1 Department of Mathematics University of Connecticut Cornell Analysis Seminar Fall 2013 Post-Critically finite fractals In the
More informationEssential Spectra of complete manifolds
Essential Spectra of complete manifolds Zhiqin Lu Analysis, Complex Geometry, and Mathematical Physics: A Conference in Honor of Duong H. Phong May 7, 2013 Zhiqin Lu, Dept. Math, UCI Essential Spectra
More informationMcGill University Math 354: Honors Analysis 3
Practice problems McGill University Math 354: Honors Analysis 3 not for credit Problem 1. Determine whether the family of F = {f n } functions f n (x) = x n is uniformly equicontinuous. 1st Solution: The
More informationA new proof of Gromov s theorem on groups of polynomial growth
A new proof of Gromov s theorem on groups of polynomial growth Bruce Kleiner Courant Institute NYU Groups as geometric objects Let G a group with a finite generating set S G. Assume that S is symmetric:
More informationBoundary measures, generalized Gauss Green formulas, and mean value property in metric measure spaces
Boundary measures, generalized Gauss Green formulas, and mean value property in metric measure spaces Niko Marola, Michele Miranda Jr, and Nageswari Shanmugalingam Contents 1 Introduction 2 2 Preliminaries
More informationA local time scaling exponent for compact metric spaces
A local time scaling exponent for compact metric spaces John Dever School of Mathematics Georgia Institute of Technology Fractals 6 @ Cornell, June 15, 2017 Dever (GaTech) Exit time exponent Fractals 6
More informationAnalysis and geometry of the measurable Riemannian structure on the Sierpiński gasket
Analysis and geometry of the measurable Riemannian structure on the Sierpiński gasket Naotaka Kajino Abstract. This expository article is devoted to a survey of existent results concerning the measurable
More informationTHIRD SEMESTER M. Sc. DEGREE (MATHEMATICS) EXAMINATION (CUSS PG 2010) MODEL QUESTION PAPER MT3C11: COMPLEX ANALYSIS
THIRD SEMESTER M. Sc. DEGREE (MATHEMATICS) EXAMINATION (CUSS PG 2010) MODEL QUESTION PAPER MT3C11: COMPLEX ANALYSIS TIME:3 HOURS Maximum weightage:36 PART A (Short Answer Type Question 1-14) Answer All
More informationInverse Scattering with Partial data on Asymptotically Hyperbolic Manifolds
Inverse Scattering with Partial data on Asymptotically Hyperbolic Manifolds Raphael Hora UFSC rhora@mtm.ufsc.br 29/04/2014 Raphael Hora (UFSC) Inverse Scattering with Partial data on AH Manifolds 29/04/2014
More informationSpectral Properties of the Hata Tree
Spectral Properties of the Hata Tree Antoni Brzoska University of Connecticut March 20, 2016 Antoni Brzoska Spectral Properties of the Hata Tree March 20, 2016 1 / 26 Table of Contents 1 A Dynamical System
More informationNATIONAL BOARD FOR HIGHER MATHEMATICS. Research Awards Screening Test. February 25, Time Allowed: 90 Minutes Maximum Marks: 40
NATIONAL BOARD FOR HIGHER MATHEMATICS Research Awards Screening Test February 25, 2006 Time Allowed: 90 Minutes Maximum Marks: 40 Please read, carefully, the instructions on the following page before you
More informationA C 0 coarse structure for families of pseudometrics and the Higson-Roe functor
A C 0 coarse structure for families of pseudometrics and the Higson-Roe functor Jesús P. Moreno-Damas arxiv:1410.2756v1 [math.gn] 10 Oct 2014 Abstract This paper deepens into the relations between coarse
More informationFrom now on, we will represent a metric space with (X, d). Here are some examples: i=1 (x i y i ) p ) 1 p, p 1.
Chapter 1 Metric spaces 1.1 Metric and convergence We will begin with some basic concepts. Definition 1.1. (Metric space) Metric space is a set X, with a metric satisfying: 1. d(x, y) 0, d(x, y) = 0 x
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 informationAnalysis Finite and Infinite Sets The Real Numbers The Cantor Set
Analysis Finite and Infinite Sets Definition. An initial segment is {n N n n 0 }. Definition. A finite set can be put into one-to-one correspondence with an initial segment. The empty set is also considered
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 informationhere, this space is in fact infinite-dimensional, so t σ ess. Exercise Let T B(H) be a self-adjoint operator on an infinitedimensional
15. Perturbations by compact operators In this chapter, we study the stability (or lack thereof) of various spectral properties under small perturbations. Here s the type of situation we have in mind:
More informationStochastic analysis for Markov processes
Colloquium Stochastic Analysis, Leibniz University Hannover Jan. 29, 2015 Universität Bielefeld 1 Markov processes: trivia. 2 Stochastic analysis for additive functionals. 3 Applications to geometry. Markov
More informationReal Analysis, 2nd Edition, G.B.Folland Elements of Functional Analysis
Real Analysis, 2nd Edition, G.B.Folland Chapter 5 Elements of Functional Analysis Yung-Hsiang Huang 5.1 Normed Vector Spaces 1. Note for any x, y X and a, b K, x+y x + y and by ax b y x + b a x. 2. It
More informationFormality of Kähler manifolds
Formality of Kähler manifolds Aron Heleodoro February 24, 2015 In this talk of the seminar we like to understand the proof of Deligne, Griffiths, Morgan and Sullivan [DGMS75] of the formality of Kähler
More informationMath Theory of Partial Differential Equations Lecture 3-2: Spectral properties of the Laplacian. Bessel functions.
Math 412-501 Theory of Partial ifferential Equations Lecture 3-2: Spectral properties of the Laplacian. Bessel functions. Eigenvalue problem: 2 φ + λφ = 0 in, ( αφ + β φ ) n = 0, where α, β are piecewise
More information(1) Consider the space S consisting of all continuous real-valued functions on the closed interval [0, 1]. For f, g S, define
Homework, Real Analysis I, Fall, 2010. (1) Consider the space S consisting of all continuous real-valued functions on the closed interval [0, 1]. For f, g S, define ρ(f, g) = 1 0 f(x) g(x) dx. Show that
More information7 Complete metric spaces and function spaces
7 Complete metric spaces and function spaces 7.1 Completeness Let (X, d) be a metric space. Definition 7.1. A sequence (x n ) n N in X is a Cauchy sequence if for any ɛ > 0, there is N N such that n, m
More informationHarmonic Functions and the Spectrum of the Laplacian on the Sierpinski Carpet
Harmonic Functions and the Spectrum of the Laplacian on the Sierpinski Carpet Matthew Begué, Tristan Kalloniatis, & Robert Strichartz October 4, 2011 Norbert Wiener Center Seminar Construction of the Sierpinski
More informationLaplace s Equation. Chapter Mean Value Formulas
Chapter 1 Laplace s Equation Let be an open set in R n. A function u C 2 () is called harmonic in if it satisfies Laplace s equation n (1.1) u := D ii u = 0 in. i=1 A function u C 2 () is called subharmonic
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 informationSPECTRAL PROPERTIES OF THE LAPLACIAN ON BOUNDED DOMAINS
SPECTRAL PROPERTIES OF THE LAPLACIAN ON BOUNDED DOMAINS TSOGTGEREL GANTUMUR Abstract. After establishing discrete spectra for a large class of elliptic operators, we present some fundamental spectral properties
More informationSelçuk Demir WS 2017 Functional Analysis Homework Sheet
Selçuk Demir WS 2017 Functional Analysis Homework Sheet 1. Let M be a metric space. If A M is non-empty, we say that A is bounded iff diam(a) = sup{d(x, y) : x.y A} exists. Show that A is bounded iff there
More informationAnalysis Preliminary Exam Workshop: Hilbert Spaces
Analysis Preliminary Exam Workshop: Hilbert Spaces 1. Hilbert spaces A Hilbert space H is a complete real or complex inner product space. Consider complex Hilbert spaces for definiteness. If (, ) : H H
More informationNATIONAL BOARD FOR HIGHER MATHEMATICS. Research Scholarships Screening Test. Saturday, January 20, Time Allowed: 150 Minutes Maximum Marks: 40
NATIONAL BOARD FOR HIGHER MATHEMATICS Research Scholarships Screening Test Saturday, January 2, 218 Time Allowed: 15 Minutes Maximum Marks: 4 Please read, carefully, the instructions that follow. INSTRUCTIONS
More informationSpectral Properties of an Operator-Fractal
Spectral Properties of an Operator-Fractal Keri Kornelson University of Oklahoma - Norman NSA Texas A&M University July 18, 2012 K. Kornelson (U. Oklahoma) Operator-Fractal TAMU 07/18/2012 1 / 25 Acknowledgements
More informationFractal Geometry and Complex Dimensions in Metric Measure Spaces
Fractal Geometry and Complex Dimensions in Metric Measure Spaces Sean Watson University of California Riverside watson@math.ucr.edu June 14th, 2014 Sean Watson (UCR) Complex Dimensions in MM Spaces 1 /
More informationMath 742: Geometric Analysis
Math 742: Geometric Analysis Lecture 5 and 6 Notes Jacky Chong jwchong@math.umd.edu The following notes are based upon Professor Yanir ubenstein s lectures with reference to Variational Methods 4 th edition
More informationAnalysis III Theorems, Propositions & Lemmas... Oh My!
Analysis III Theorems, Propositions & Lemmas... Oh My! Rob Gibson October 25, 2010 Proposition 1. If x = (x 1, x 2,...), y = (y 1, y 2,...), then is a distance. ( d(x, y) = x k y k p Proposition 2. In
More information3 hours UNIVERSITY OF MANCHESTER. 22nd May and. Electronic calculators may be used, provided that they cannot store text.
3 hours MATH40512 UNIVERSITY OF MANCHESTER DYNAMICAL SYSTEMS AND ERGODIC THEORY 22nd May 2007 9.45 12.45 Answer ALL four questions in SECTION A (40 marks in total) and THREE of the four questions in SECTION
More informationMATH642. COMPLEMENTS TO INTRODUCTION TO DYNAMICAL SYSTEMS BY M. BRIN AND G. STUCK
MATH642 COMPLEMENTS TO INTRODUCTION TO DYNAMICAL SYSTEMS BY M BRIN AND G STUCK DMITRY DOLGOPYAT 13 Expanding Endomorphisms of the circle Let E 10 : S 1 S 1 be given by E 10 (x) = 10x mod 1 Exercise 1 Show
More informationReminder Notes for the Course on Measures on Topological Spaces
Reminder Notes for the Course on Measures on Topological Spaces T. C. Dorlas Dublin Institute for Advanced Studies School of Theoretical Physics 10 Burlington Road, Dublin 4, Ireland. Email: dorlas@stp.dias.ie
More informationarxiv: v2 [math.oa] 5 May 2017
SPECTRAL TRIPLES FOR NESTED FRACTALS DANIELE GUIDO, TOMMASO ISOLA Abstract. It is shown that, for nested fractals [31], the main structural data, such as the Hausdorff dimension and measure, the geodesic
More informationNATIONAL BOARD FOR HIGHER MATHEMATICS. Research Scholarships Screening Test. Saturday, February 2, Time Allowed: Two Hours Maximum Marks: 40
NATIONAL BOARD FOR HIGHER MATHEMATICS Research Scholarships Screening Test Saturday, February 2, 2008 Time Allowed: Two Hours Maximum Marks: 40 Please read, carefully, the instructions on the following
More informationMathematical Analysis Outline. William G. Faris
Mathematical Analysis Outline William G. Faris January 8, 2007 2 Chapter 1 Metric spaces and continuous maps 1.1 Metric spaces A metric space is a set X together with a real distance function (x, x ) d(x,
More informationFinite-dimensional spaces. C n is the space of n-tuples x = (x 1,..., x n ) of complex numbers. It is a Hilbert space with the inner product
Chapter 4 Hilbert Spaces 4.1 Inner Product Spaces Inner Product Space. A complex vector space E is called an inner product space (or a pre-hilbert space, or a unitary space) if there is a mapping (, )
More informationL p Spaces and Convexity
L p Spaces and Convexity These notes largely follow the treatments in Royden, Real Analysis, and Rudin, Real & Complex Analysis. 1. Convex functions Let I R be an interval. For I open, we say a function
More informationProblem Set 5. 2 n k. Then a nk (x) = 1+( 1)k
Problem Set 5 1. (Folland 2.43) For x [, 1), let 1 a n (x)2 n (a n (x) = or 1) be the base-2 expansion of x. (If x is a dyadic rational, choose the expansion such that a n (x) = for large n.) Then the
More informationThe following definition is fundamental.
1. Some Basics from Linear Algebra With these notes, I will try and clarify certain topics that I only quickly mention in class. First and foremost, I will assume that you are familiar with many basic
More informationLarge Deviations, Linear Statistics, and Scaling Limits for Mahler Ensemble of Complex Random Polynomials
Large Deviations, Linear Statistics, and Scaling Limits for Mahler Ensemble of Complex Random Polynomials Maxim L. Yattselev joint work with Christopher D. Sinclair International Conference on Approximation
More informationContinuity. Matt Rosenzweig
Continuity Matt Rosenzweig Contents 1 Continuity 1 1.1 Rudin Chapter 4 Exercises........................................ 1 1.1.1 Exercise 1............................................. 1 1.1.2 Exercise
More informationINDISTINGUISHABILITY OF ABSOLUTELY CONTINUOUS AND SINGULAR DISTRIBUTIONS
INDISTINGUISHABILITY OF ABSOLUTELY CONTINUOUS AND SINGULAR DISTRIBUTIONS STEVEN P. LALLEY AND ANDREW NOBEL Abstract. It is shown that there are no consistent decision rules for the hypothesis testing problem
More informationB. Appendix B. Topological vector spaces
B.1 B. Appendix B. Topological vector spaces B.1. Fréchet spaces. In this appendix we go through the definition of Fréchet spaces and their inductive limits, such as they are used for definitions of function
More informationDefinition and basic properties of heat kernels I, An introduction
Definition and basic properties of heat kernels I, An introduction Zhiqin Lu, Department of Mathematics, UC Irvine, Irvine CA 92697 April 23, 2010 In this lecture, we will answer the following questions:
More informationEcon Lecture 3. Outline. 1. Metric Spaces and Normed Spaces 2. Convergence of Sequences in Metric Spaces 3. Sequences in R and R n
Econ 204 2011 Lecture 3 Outline 1. Metric Spaces and Normed Spaces 2. Convergence of Sequences in Metric Spaces 3. Sequences in R and R n 1 Metric Spaces and Metrics Generalize distance and length notions
More informationMAT 578 FUNCTIONAL ANALYSIS EXERCISES
MAT 578 FUNCTIONAL ANALYSIS EXERCISES JOHN QUIGG Exercise 1. Prove that if A is bounded in a topological vector space, then for every neighborhood V of 0 there exists c > 0 such that tv A for all t > c.
More informationCONTENTS. 4 Hausdorff Measure Introduction The Cantor Set Rectifiable Curves Cantor Set-Like Objects...
Contents 1 Functional Analysis 1 1.1 Hilbert Spaces................................... 1 1.1.1 Spectral Theorem............................. 4 1.2 Normed Vector Spaces.............................. 7 1.2.1
More informationFunctional Analysis I
Functional Analysis I Course Notes by Stefan Richter Transcribed and Annotated by Gregory Zitelli Polar Decomposition Definition. An operator W B(H) is called a partial isometry if W x = X for all x (ker
More informationStrong Consistency of Set-Valued Frechet Sample Mean in Metric Spaces
Strong Consistency of Set-Valued Frechet Sample Mean in Metric Spaces Cedric E. Ginestet Department of Mathematics and Statistics Boston University JSM 2013 The Frechet Mean Barycentre as Average Given
More informationNoncommutative Potential Theory 3
Noncommutative Potential Theory 3 Fabio Cipriani Dipartimento di Matematica Politecnico di Milano ( joint works with U. Franz, D. Guido, T. Isola, A. Kula, J.-L. Sauvageot ) Villa Mondragone Frascati,
More informationStability of boundary measures
Stability of boundary measures F. Chazal D. Cohen-Steiner Q. Mérigot INRIA Saclay - Ile de France LIX, January 2008 Point cloud geometry Given a set of points sampled near an unknown shape, can we infer
More informationTopics in Geometry and Dynamics
Topics in Geometry and Dynamics Problems C. McMullen 1. Consider the powers of 2, x n = 2 n for n = 0, 1, 2,..., written in base 10. What proportion of these numbers begin with the digit 1? 2. Let x [0,
More informationPart II Probability and Measure
Part II Probability and Measure Theorems Based on lectures by J. Miller Notes taken by Dexter Chua Michaelmas 2016 These notes are not endorsed by the lecturers, and I have modified them (often significantly)
More informationHarmonic Functions and the Spectrum of the Laplacian on the Sierpinski Carpet
Harmonic Functions and the Spectrum of the Laplacian on the Sierpinski Carpet Matthew Begué, Tristan Kalloniatis, & Robert Strichartz October 3, 2010 Construction of SC The Sierpinski Carpet, SC, is constructed
More informationCompact symetric bilinear forms
Compact symetric bilinear forms Mihai Mathematics Department UC Santa Barbara IWOTA 2006 IWOTA 2006 Compact forms [1] joint work with: J. Danciger (Stanford) S. Garcia (Pomona
More informationHILBERT SPACES AND THE RADON-NIKODYM THEOREM. where the bar in the first equation denotes complex conjugation. In either case, for any x V define
HILBERT SPACES AND THE RADON-NIKODYM THEOREM STEVEN P. LALLEY 1. DEFINITIONS Definition 1. A real inner product space is a real vector space V together with a symmetric, bilinear, positive-definite mapping,
More informationKernel Method: Data Analysis with Positive Definite Kernels
Kernel Method: Data Analysis with Positive Definite Kernels 2. Positive Definite Kernel and Reproducing Kernel Hilbert Space Kenji Fukumizu The Institute of Statistical Mathematics. Graduate University
More informationAsymptotic distribution of eigenvalues of Laplace operator
Asymptotic distribution of eigenvalues of Laplace operator 23.8.2013 Topics We will talk about: the number of eigenvalues of Laplace operator smaller than some λ as a function of λ asymptotic behaviour
More informationTHE STONE-WEIERSTRASS THEOREM AND ITS APPLICATIONS TO L 2 SPACES
THE STONE-WEIERSTRASS THEOREM AND ITS APPLICATIONS TO L 2 SPACES PHILIP GADDY Abstract. Throughout the course of this paper, we will first prove the Stone- Weierstrass Theroem, after providing some initial
More informationMultivariable Calculus
2 Multivariable Calculus 2.1 Limits and Continuity Problem 2.1.1 (Fa94) Let the function f : R n R n satisfy the following two conditions: (i) f (K ) is compact whenever K is a compact subset of R n. (ii)
More informationA Brief Introduction to Functional Analysis
A Brief Introduction to Functional Analysis Sungwook Lee Department of Mathematics University of Southern Mississippi sunglee@usm.edu July 5, 2007 Definition 1. An algebra A is a vector space over C with
More informationA VERY BRIEF REVIEW OF MEASURE THEORY
A VERY BRIEF REVIEW OF MEASURE THEORY A brief philosophical discussion. Measure theory, as much as any branch of mathematics, is an area where it is important to be acquainted with the basic notions and
More informationHeat Kernel and Analysis on Manifolds Excerpt with Exercises. Alexander Grigor yan
Heat Kernel and Analysis on Manifolds Excerpt with Exercises Alexander Grigor yan Department of Mathematics, University of Bielefeld, 33501 Bielefeld, Germany 2000 Mathematics Subject Classification. Primary
More informationarxiv: v1 [math.fa] 3 Sep 2017
Spectral Triples for the Variants of the Sierpinski Gasket arxiv:1709.00755v1 [math.fa] 3 Sep 017 Andrea Arauza Rivera arauza@math.ucr.edu September 5, 017 Abstract Fractal geometry is the study of sets
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 information