Nontangential limits and Fatou-type theorems on post-critically finite self-similar sets

Size: px
Start display at page:

Download "Nontangential limits and Fatou-type theorems on post-critically finite self-similar sets"

Transcription

1 Nontangential limits and on post-critically finite self-similar sets 4th Cornell Conference on Analysis, Probability, and Mathematical Physics on Fractals Universidad de Colima

2 Setting Boundary limits K a PCF self-similar set with regular harmonic structure (D, r) Hausdorff dimension d with respect to effective resistence metric R(x, y) µ the Bernoulli measure on K with weights µ i = r d i

3 Setting Boundary limits K a PCF self-similar set with regular harmonic structure (D, r) Hausdorff dimension d with respect to effective resistence metric R(x, y) µ the Bernoulli measure on K with weights µ i = r d i µ(b ε (x)) ε d for small ε

4 Setting Boundary limits K a PCF self-similar set with regular harmonic structure (D, r) Hausdorff dimension d with respect to effective resistence metric R(x, y) µ the Bernoulli measure on K with weights µ i = r d i µ(b ε (x)) ε d for small ε Maximal function 1 Mf (x) = sup f dµ ε>0 µ(b ε (x)) B ε(x) is of weak type (1, 1) and bounded on L p

5 Dirichlet problem Boundary limits Let be the Laplacian associated to (D, r) and µ.

6 Dirichlet problem Boundary limits Let be the Laplacian associated to (D, r) and µ. Consider the Dirichlet problem 2 u t 2 + u = 0, (x, t) K R + u(x, 0) = f (x), f defined in K

7 Boundary limits P b (t, x, y) = e λ b n t φ b n(x)φ b n(y), n=1 where {φ b n} is a complete o.n. system of Dirichlet or Neumann (b = D or N) eigenfunctions of

8 Boundary limits P b (t, x, y) = e λ b n t φ b n(x)φ b n(y), n=1 where {φ b n} is a complete o.n. system of Dirichlet or Neumann (b = D or N) eigenfunctions of Subordination principle P b (t, x, y) = where H b (t, x, y) is the heat kernel t 2 e t2 /4s H b (s, x, y) ds π 0 s 3/2

9 Boundary limits P b (t, x, y) is nonegative, continuous and P b (t, x, ) dom K 2 P b (t, x, y) t 2 + P b (t, x, y) = 0 P b (t, x, z)p b (s, z, y)dµ(z) = P b (t + s, x, y)

10 Poisson semigroup Boundary limits Pt b f (x) = K P b (t, x, y)f (y)dµ(y)

11 Poisson semigroup Boundary limits Pt b f (x) = K P b (t, x, y)f (y)dµ(y) P b t : L p (K, µ) C(K) is bounded

12 Poisson semigroup Boundary limits P b t Pt b f (x) = : L p (K, µ) C(K) is bounded If u(t, x) = P b t f (x), K P b (t, x, y)f (y)dµ(y) 2 u t 2 + u = 0

13 Poisson semigroup Boundary limits P b t Pt b f (x) = : L p (K, µ) C(K) is bounded If u(t, x) = P b t f (x), K P b (t, x, y)f (y)dµ(y) 2 u t 2 + u = 0 For f C(K), P N t f f 0 as t 0

14 Poisson semigroup Boundary limits P b t Pt b f (x) = : L p (K, µ) C(K) is bounded If u(t, x) = P b t f (x), K P b (t, x, y)f (y)dµ(y) 2 u t 2 + u = 0 For f C(K), P N t f f 0 as t 0 For f C(K), f V0 0, P D t f f 0 as t 0

15 Boundary limits Boudary limits of Poisson integrals Theorem If f L p (K, dµ), 1 p, u(t, x) = P t f (x) There exists A > 0 s.t. u(t, x) AMf (x) u(t, ) f in L p (K, µ), if 1 p < ; lim t 0 u(t, x) = f (x) for a.e. x K.

16 Boundary limits Boudary limits of Poisson integrals Theorem If f L p (K, dµ), 1 p, u(t, x) = P t f (x) There exists A > 0 s.t. u(t, x) AMf (x) u(t, ) f in L p (K, µ), if 1 p < ; lim t 0 u(t, x) = f (x) for a.e. x K. We use the estimate P(t, x, y) C min {t 2d t } d+1,. R(x, y) 3d+1 2 Follows from the well-known estimates for the heat kernel and the subordination principle.

17 Proof Boundary limits A n (x) = {y K : R(x, y) 2 n t 2 d+1 }

18 Proof Boundary limits A n(x) A n (x) = {y K : R(x, y) 2 n t 2 d+1 } P b (t, x, y) f (y) dµ(y) A n(x) t ( 2 n t 2 d+1 t R(x, y) 3d+1 2 ) 3d d+1 2 n Mf (x). f (y) dµ(y) B 2 n t 2/(d+1) (x) f (y) dµ(y)

19 Nontangential limits Nontangential limits of Poisson integrals Boundary values of harmonic functions Local Fatou theorem in nested fractals Cone Γ α (x) = {(t, y) R + K : R(x, y) d+1 < αt 2 }

20 Nontangential limits Nontangential limits of Poisson integrals Boundary values of harmonic functions Local Fatou theorem in nested fractals Cone Γ α (x) = {(t, y) R + K : R(x, y) d+1 < αt 2 } Theorem f L p (K, dµ), 1 p, u(t, x) = P b t f (x), α > 0 There exists A α > 0 such that For a. e. x K, sup u(t, y) A α Mf (x). (t,y) Γ α(x) lim (t,y) (0,x) (t,y) Γ α(x) u(t, y) = f (x).

21 Proof Nontangential limits of Poisson integrals Boundary values of harmonic functions Local Fatou theorem in nested fractals For the first part: for (t, y) Γ α (x) P b (t, y, z) C α min {t 2d t } d+1,, R(x, z) 3d+1 2

22 Proof Nontangential limits of Poisson integrals Boundary values of harmonic functions Local Fatou theorem in nested fractals For the first part: for (t, y) Γ α (x) P b (t, y, z) C α min {t 2d t } d+1,, R(x, z) 3d+1 2 For the second: for x K \ V 0, lim P D (t, x, y)dµ(y) = 1. t 0 K

23 Maximum principle Nontangential limits of Poisson integrals Boundary values of harmonic functions Local Fatou theorem in nested fractals u on R + K is harmonic if, for (t, x) R + (K \ V 0 ), 2 u(t, x) t 2 + µ u(t, x) = 0

24 Maximum principle Nontangential limits of Poisson integrals Boundary values of harmonic functions Local Fatou theorem in nested fractals u on R + K is harmonic if, for (t, x) R + (K \ V 0 ), 2 u(t, x) t 2 + µ u(t, x) = 0 Theorem u cannot take a maximum in R + (K \ V 0 ).

25 Maximum principle Nontangential limits of Poisson integrals Boundary values of harmonic functions Local Fatou theorem in nested fractals u on R + K is harmonic if, for (t, x) R + (K \ V 0 ), 2 u(t, x) t 2 + µ u(t, x) = 0 Theorem u cannot take a maximum in R + (K \ V 0 ). Uses Lemma Let u D µ. If u(x) = max{u(y) : y K} for some x K \ V 0, then µ u(x) 0.

26 Nontangential limits of Poisson integrals Boundary values of harmonic functions Local Fatou theorem in nested fractals Harmonic functions and boundary limits Theorem Let u be a Dirichlet harmonic function on R + K such that sup u(t, ) L (K,dµ) <. t>0 Then u is the Dirichlet Poisson integral of a function f L (K, dµ).

27 Proof Nontangential limits of Poisson integrals Boundary values of harmonic functions Local Fatou theorem in nested fractals Use maximal principle to show u ( t + 1 n, x) = P D (t, x, y)u(1/n, y)dµ(y). K

28 Proof Nontangential limits of Poisson integrals Boundary values of harmonic functions Local Fatou theorem in nested fractals Use maximal principle to show u ( t + 1 n, x) = P D (t, x, y)u(1/n, y)dµ(y). K Weak-* compactness: u(1/n, y) f weakly Verify u(t, x) = P D t f (x)

29 Proof Nontangential limits of Poisson integrals Boundary values of harmonic functions Local Fatou theorem in nested fractals Use maximal principle to show u ( t + 1 n, x) = P D (t, x, y)u(1/n, y)dµ(y). K Corollary Weak-* compactness: u(1/n, y) f weakly Verify u(t, x) = P D t f (x) A bounded Dirichlet harmonic function on R + K has nontangential limit at x as t 0 for almost every x K.

30 Nontangential limits of Poisson integrals Boundary values of harmonic functions Local Fatou theorem in nested fractals Harmonic functions and boundary limits Corollary Suppose u is a Dirichlet harmonic function on R + K. If 1 < p, then u is the Poisson integral of some f L p if and only if sup u(t, ) L p <. t>0 Moreover, u is the Poisson integral of some finite Borel measure on K if and only if sup u(t, ) L 1 <. t>0

31 Estimates for Nontangential limits of Poisson integrals Boundary values of harmonic functions Local Fatou theorem in nested fractals Theorem Let K be an affine nested fractal and α > 0. Then there exists c α > 0 such that P N (t, x, y)dµ(y) c α, B where B = B (αt 2 ) 1/(d+1)(x) is the ball of radius (αt2 ) 1 d+1 with center in x.

32 Estimates for Nontangential limits of Poisson integrals Boundary values of harmonic functions Local Fatou theorem in nested fractals Theorem Let K be an affine nested fractal and α > 0. Then there exists c α > 0 such that P N (t, x, y)dµ(y) c α, B where B = B (αt 2 ) 1/(d+1)(x) is the ball of radius (αt2 ) 1 d+1 with center in x. Proof: Subordination and estimates for heat kernel

33 Positive harmonic functions Nontangential limits of Poisson integrals Boundary values of harmonic functions Local Fatou theorem in nested fractals Corollary Let E K be a measurable set, α > 0, and Ω = Γ 1 α(x). Then x E there exists a positive harmonic function v on R + K such that 1 v 1 on ( Ω) (R + K); and 2 v has nontangential limit 0 at almost every point of E.

34 Positive harmonic functions Nontangential limits of Poisson integrals Boundary values of harmonic functions Local Fatou theorem in nested fractals Corollary Let E K be a measurable set, α > 0, and Ω = Γ 1 α(x). Then x E there exists a positive harmonic function v on R + K such that 1 v 1 on ( Ω) (R + K); and 2 v has nontangential limit 0 at almost every point of E. Proof: w(t, x) = K P N (t, x, y)χ K\E (y)dµ(y) + t,

35 Positive harmonic functions Nontangential limits of Poisson integrals Boundary values of harmonic functions Local Fatou theorem in nested fractals Corollary Let E K be a measurable set, α > 0, and Ω = Γ 1 α(x). Then x E there exists a positive harmonic function v on R + K such that 1 v 1 on ( Ω) (R + K); and 2 v has nontangential limit 0 at almost every point of E. Proof: w(t, x) = K P N (t, x, y)χ K\E (y)dµ(y) + t, Integral bounded from below by c α for x E

36 Local Fatou theorem Nontangential limits of Poisson integrals Boundary values of harmonic functions Local Fatou theorem in nested fractals u is nontangentially bounded at x K if u is bounded on some Γ h α(x).

37 Local Fatou theorem Nontangential limits of Poisson integrals Boundary values of harmonic functions Local Fatou theorem in nested fractals u is nontangentially bounded at x K if u is bounded on some Γ h α(x). Theorem Let u be harmonic on R + K and nontangentially bounded at each point in the set E K. Then u has a nontangential limit at almost every point of E.

38 Local Fatou theorem Nontangential limits of Poisson integrals Boundary values of harmonic functions Local Fatou theorem in nested fractals u is nontangentially bounded at x K if u is bounded on some Γ h α(x). Theorem Let u be harmonic on R + K and nontangentially bounded at each point in the set E K. Then u has a nontangential limit at almost every point of E. Proof: Uses the barrier function of previous corollary.

39 Future work Harmonic functions on R + K Mean value property Harnack inequality

40 Future work Harmonic functions on R + K Mean value property Harnack inequality Nondiagonal estimates for Pt N (t, x, y) for nested fractals

41 Future work Harmonic functions on R + K Mean value property Harnack inequality Nondiagonal estimates for Pt N (t, x, y) for nested fractals Local Fatou theorem for general PCF sets

42 Future work Harmonic functions on R + K Mean value property Harnack inequality Nondiagonal estimates for Pt N (t, x, y) for nested fractals Local Fatou theorem for general PCF sets Harmonic analysis Littlewood-Paley theory; square functions; area integrals

43 Future work Harmonic functions on R + K Mean value property Harnack inequality Nondiagonal estimates for Pt N (t, x, y) for nested fractals Local Fatou theorem for general PCF sets Harmonic analysis Littlewood-Paley theory; square functions; area integrals H p spaces; H 1 and BMO functions

SOLUTION OF THE DIRICHLET PROBLEM WITH L p BOUNDARY CONDITION. Dagmar Medková

SOLUTION OF THE DIRICHLET PROBLEM WITH L p BOUNDARY CONDITION. Dagmar Medková 29 Kragujevac J. Math. 31 (2008) 29 42. SOLUTION OF THE DIRICHLET PROBLEM WITH L p BOUNDARY CONDITION Dagmar Medková Czech Technical University, Faculty of Mechanical Engineering, Department of Technical

More information

Powers of the Laplacian on PCF Fractals

Powers of the Laplacian on PCF Fractals Based on joint work with Luke Rogers and Robert S. Strichartz AMS Fall Meeting, Riverside November 8, 2009 PCF Fractals Definitions Let {F 1, F 2,..., F N } be an iterated function system of contractive

More information

HARMONIC ANALYSIS. Date:

HARMONIC ANALYSIS. Date: HARMONIC ANALYSIS Contents. Introduction 2. Hardy-Littlewood maximal function 3. Approximation by convolution 4. Muckenhaupt weights 4.. Calderón-Zygmund decomposition 5. Fourier transform 6. BMO (bounded

More information

Heat kernels on metric spaces with doubling measure

Heat kernels on metric spaces with doubling measure Heat kernels on metric spaces with doubling measure Alexander Grigor yan, Jiaxin Hu and Ka-Sing Lau Abstract. In this survey we discuss heat kernel estimates of self-similar type on metric spaces with

More information

l(y j ) = 0 for all y j (1)

l(y j ) = 0 for all y j (1) Problem 1. The closed linear span of a subset {y j } of a normed vector space is defined as the intersection of all closed subspaces containing all y j and thus the smallest such subspace. 1 Show that

More information

Heat kernels on metric spaces with doubling measure

Heat kernels on metric spaces with doubling measure Heat ernels on metric spaces with doubling measure Alexander Grigor yan, Jiaxin Hu and Ka-Sing Lau Abstract. In this survey we discuss heat ernel estimates of self-similar type on metric spaces with doubling

More information

An Introduction to Self Similar Structures

An 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 information

COMPARISON INEQUALITIES FOR HEAT SEMIGROUPS AND HEAT KERNELS ON METRIC MEASURE SPACES

COMPARISON INEQUALITIES FOR HEAT SEMIGROUPS AND HEAT KERNELS ON METRIC MEASURE SPACES COMPARISON INEQALITIES FOR HEAT SEMIGROPS AND HEAT KERNELS ON METRIC MEASRE SPACES ALEXANDER GRIGOR YAN, JIAXIN H, AND KA-SING LA Abstract. We prove a certain inequality for a subsolution of the heat equation

More information

A local time scaling exponent for compact metric spaces

A 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 information

u( x) = g( y) ds y ( 1 ) U solves u = 0 in U; u = 0 on U. ( 3)

u( x) = g( y) ds y ( 1 ) U solves u = 0 in U; u = 0 on U. ( 3) M ath 5 2 7 Fall 2 0 0 9 L ecture 4 ( S ep. 6, 2 0 0 9 ) Properties and Estimates of Laplace s and Poisson s Equations In our last lecture we derived the formulas for the solutions of Poisson s equation

More information

Heat kernels and function theory on metric measure spaces

Heat kernels and function theory on metric measure spaces Heat kernels and function theory on metric measure spaces Alexander Grigor yan Imperial College London SW7 2AZ United Kingdom and Institute of Control Sciences of RAS oscow, Russia email: a.grigoryan@ic.ac.uk

More information

Self-similar fractals as boundaries of networks

Self-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 information

Lecture No 1 Introduction to Diffusion equations The heat equat

Lecture No 1 Introduction to Diffusion equations The heat equat Lecture No 1 Introduction to Diffusion equations The heat equation Columbia University IAS summer program June, 2009 Outline of the lectures We will discuss some basic models of diffusion equations and

More information

BMO solvability and the A condition for elliptic operators

BMO solvability and the A condition for elliptic operators BMO solvability and the A condition for elliptic operators Martin Dindos Carlos Kenig Jill Pipher July 30, 2009 Abstract We establish a connection between the absolute continuity of elliptic measure associated

More information

Spectral Decimation for Families of Laplacians on the Sierpinski Gasket

Spectral 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 information

The L p Dirichlet problem for second order elliptic operators and a p-adapted square function

The L p Dirichlet problem for second order elliptic operators and a p-adapted square function The L p Dirichlet problem for second order elliptic operators and a p-adapted square function Martin Dindos, Stefanie Petermichl, Jill Pipher October 26, 2006 Abstract We establish L p -solvability for

More information

Lebesgue s Differentiation Theorem via Maximal Functions

Lebesgue s Differentiation Theorem via Maximal Functions Lebesgue s Differentiation Theorem via Maximal Functions Parth Soneji LMU München Hütteseminar, December 2013 Parth Soneji Lebesgue s Differentiation Theorem via Maximal Functions 1/12 Philosophy behind

More information

SMOOTH BUMPS, A BOREL THEOREM AND PARTITIONS OF SMOOTH FUNCTIONS ON P.C.F. FRACTALS.

SMOOTH BUMPS, A BOREL THEOREM AND PARTITIONS OF SMOOTH FUNCTIONS ON P.C.F. FRACTALS. TRANSACTIONS OF THE AMERICAN MATHEMATICAL SOCIETY Volume 00, Number 0, Pages 000 000 S 0002-9947XX0000-0 SMOOTH BUMPS, A BOREL THEOREM AND PARTITIONS OF SMOOTH FUNCTIONS ON P.C.F. FRACTALS. LUKE G. ROGERS,

More information

Mean value properties on Sierpinski type fractals

Mean value properties on Sierpinski type fractals Mean value properties on Sierpinski type fractals Hua Qiu (Joint work with Robert S. Strichartz) Department of Mathematics Nanjing University, Cornell University Department of Mathematics, Nanjing University

More information

The Dirichlet problem for non-divergence parabolic equations with discontinuous in time coefficients in a wedge

The Dirichlet problem for non-divergence parabolic equations with discontinuous in time coefficients in a wedge The Dirichlet problem for non-divergence parabolic equations with discontinuous in time coefficients in a wedge Vladimir Kozlov (Linköping University, Sweden) 2010 joint work with A.Nazarov Lu t u a ij

More information

(b) If f L p (R), with 1 < p, then Mf L p (R) and. Mf L p (R) C(p) f L p (R) with C(p) depending only on p.

(b) If f L p (R), with 1 < p, then Mf L p (R) and. Mf L p (R) C(p) f L p (R) with C(p) depending only on p. Lecture 3: Carleson Measures via Harmonic Analysis Much of the argument from this section is taken from the book by Garnett, []. The interested reader can also see variants of this argument in the book

More information

Line integrals of 1-forms on the Sierpinski gasket

Line integrals of 1-forms on the Sierpinski gasket 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 Outline The Sierpinski

More information

Ollivier Ricci curvature for general graph Laplacians

Ollivier Ricci curvature for general graph Laplacians for general graph Laplacians York College and the Graduate Center City University of New York 6th Cornell Conference on Analysis, Probability and Mathematical Physics on Fractals Cornell University June

More information

ON WEAKLY NONLINEAR BACKWARD PARABOLIC PROBLEM

ON WEAKLY NONLINEAR BACKWARD PARABOLIC PROBLEM ON WEAKLY NONLINEAR BACKWARD PARABOLIC PROBLEM OLEG ZUBELEVICH DEPARTMENT OF MATHEMATICS THE BUDGET AND TREASURY ACADEMY OF THE MINISTRY OF FINANCE OF THE RUSSIAN FEDERATION 7, ZLATOUSTINSKY MALIY PER.,

More information

Self-similar fractals as boundaries of networks

Self-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 information

WEAK UNCERTAINTY PRINCIPLE FOR FRACTALS, GRAPHS AND METRIC MEASURE SPACES

WEAK UNCERTAINTY PRINCIPLE FOR FRACTALS, GRAPHS AND METRIC MEASURE SPACES WEAK UNCERTAINTY PRINCIPLE FOR FRACTALS, GRAPHS AND METRIC MEASURE SPACES KASSO A. OKOUDJOU, LAURENT SALOFF-COSTE, AND ALEXANDER TEPLYAEV Abstract. We develop a new approach to formulate and prove the

More information

Heat kernels on metric measure spaces

Heat kernels on metric measure spaces Heat kernels on metric measure spaces Alexander Grigor yan Department of Mathematics University of Bielefeld 33501 Bielefeld, Germany Jiaxin Hu Department of Mathematical Sciences Tsinghua University Beijing

More information

Geometric intuition: from Hölder spaces to the Calderón-Zygmund estimate

Geometric intuition: from Hölder spaces to the Calderón-Zygmund estimate Geometric intuition: from Hölder spaces to the Calderón-Zygmund estimate A survey of Lihe Wang s paper Michael Snarski December 5, 22 Contents Hölder spaces. Control on functions......................................2

More information

A VARIATIONAL INEQUALITY RELATED TO AN ELLIPTIC OPERATOR

A VARIATIONAL INEQUALITY RELATED TO AN ELLIPTIC OPERATOR Proyecciones Vol. 19, N o 2, pp. 105-112, August 2000 Universidad Católica del Norte Antofagasta - Chile A VARIATIONAL INEQUALITY RELATED TO AN ELLIPTIC OPERATOR A. WANDERLEY Universidade do Estado do

More information

Math The Laplacian. 1 Green s Identities, Fundamental Solution

Math The Laplacian. 1 Green s Identities, Fundamental Solution Math. 209 The Laplacian Green s Identities, Fundamental Solution Let be a bounded open set in R n, n 2, with smooth boundary. The fact that the boundary is smooth means that at each point x the external

More information

DISTRIBUTION THEORY ON P.C.F. FRACTALS

DISTRIBUTION 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 information

On semilinear elliptic equations with measure data

On semilinear elliptic equations with measure data On semilinear elliptic equations with measure data Andrzej Rozkosz (joint work with T. Klimsiak) Nicolaus Copernicus University (Toruń, Poland) Controlled Deterministic and Stochastic Systems Iasi, July

More information

DOMAINS OF DIRICHLET FORMS AND EFFECTIVE RESISTANCE ESTIMATES ON P.C.F. FRACTALS. 1. Introduction

DOMAINS OF DIRICHLET FORMS AND EFFECTIVE RESISTANCE ESTIMATES ON P.C.F. FRACTALS. 1. Introduction DOMAINS OF DIRICHLET FORMS AND EFFECTIVE RESISTANCE ESTIMATES ON P.C.F. FRACTALS JIAXIN HU 1 AND XINGSHENG WANG Abstract. In this paper we consider post-critically finite self-similar fractals with regular

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

(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 information

Maximal Functions in Analysis

Maximal Functions in Analysis Maximal Functions in Analysis Robert Fefferman June, 5 The University of Chicago REU Scribe: Philip Ascher Abstract This will be a self-contained introduction to the theory of maximal functions, which

More information

R is a metric, called a resistance metric. By (5.1), the following key inequality holds.

R is a metric, called a resistance metric. By (5.1), the following key inequality holds. 5 Strongly recurrent case 5.1 Framework and the main theorem (X, d, µ, E): MMD space or the weighted graph It is called a resistance form if F C(X) and u(p) u(q) 2 sup { E(u, u) Define R(p, q) = (LHS of

More information

Liouville Properties for Nonsymmetric Diffusion Operators. Nelson Castañeda. Central Connecticut State University

Liouville Properties for Nonsymmetric Diffusion Operators. Nelson Castañeda. Central Connecticut State University Liouville Properties for Nonsymmetric Diffusion Operators Nelson Castañeda Central Connecticut State University VII Americas School in Differential Equations and Nonlinear Analysis We consider nonsymmetric

More information

Rudin Real and Complex Analysis - Harmonic Functions

Rudin Real and Complex Analysis - Harmonic Functions Rudin Real and Complex Analysis - Harmonic Functions Aaron Lou December 2018 1 Notes 1.1 The Cauchy-Riemann Equations 11.1: The Operators and Suppose f is a complex function defined in a plane open set

More information

THEOREMS, ETC., FOR MATH 516

THEOREMS, 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 information

A class of domains with fractal boundaries: Functions spaces and numerical methods

A class of domains with fractal boundaries: Functions spaces and numerical methods A class of domains with fractal boundaries: Functions spaces and numerical methods Yves Achdou joint work with T. Deheuvels and N. Tchou Laboratoire J-L Lions, Université Paris Diderot École Centrale -

More information

Duality of multiparameter Hardy spaces H p on spaces of homogeneous type

Duality of multiparameter Hardy spaces H p on spaces of homogeneous type Duality of multiparameter Hardy spaces H p on spaces of homogeneous type Yongsheng Han, Ji Li, and Guozhen Lu Department of Mathematics Vanderbilt University Nashville, TN Internet Analysis Seminar 2012

More information

Heat Kernel and Analysis on Manifolds Excerpt with Exercises. Alexander Grigor yan

Heat 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 information

Gradient Estimates and Sobolev Inequality

Gradient Estimates and Sobolev Inequality Gradient Estimates and Sobolev Inequality Jiaping Wang University of Minnesota ( Joint work with Linfeng Zhou) Conference on Geometric Analysis in honor of Peter Li University of California, Irvine January

More information

SCHWARTZ SPACES ASSOCIATED WITH SOME NON-DIFFERENTIAL CONVOLUTION OPERATORS ON HOMOGENEOUS GROUPS

SCHWARTZ SPACES ASSOCIATED WITH SOME NON-DIFFERENTIAL CONVOLUTION OPERATORS ON HOMOGENEOUS GROUPS C O L L O Q U I U M M A T H E M A T I C U M VOL. LXIII 1992 FASC. 2 SCHWARTZ SPACES ASSOCIATED WITH SOME NON-DIFFERENTIAL CONVOLUTION OPERATORS ON HOMOGENEOUS GROUPS BY JACEK D Z I U B A Ń S K I (WROC

More information

The spectral decimation of the Laplacian on the Sierpinski gasket

The 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 information

Random walks on ultra-metric spaces

Random walks on ultra-metric spaces Random walks on ultra-metric spaces Alexander Grigor yan Nankai University and Bielefeld University Mini-course, September 2018, AMSS CAS, Beijing Based on a series of joint works with A.Bendikov, Eryan

More information

Harmonic Functions and the Spectrum of the Laplacian on the Sierpinski Carpet

Harmonic 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 information

Pseudo-Poincaré Inequalities and Applications to Sobolev Inequalities

Pseudo-Poincaré Inequalities and Applications to Sobolev Inequalities Pseudo-Poincaré Inequalities and Applications to Sobolev Inequalities Laurent Saloff-Coste Abstract Most smoothing procedures are via averaging. Pseudo-Poincaré inequalities give a basic L p -norm control

More information

Finite-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

Finite-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 information

Laplace s Equation. Chapter Mean Value Formulas

Laplace 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 information

Functional Analysis I

Functional 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 information

v( x) u( y) dy for any r > 0, B r ( x) Ω, or equivalently u( w) ds for any r > 0, B r ( x) Ω, or ( not really) equivalently if v exists, v 0.

v( x) u( y) dy for any r > 0, B r ( x) Ω, or equivalently u( w) ds for any r > 0, B r ( x) Ω, or ( not really) equivalently if v exists, v 0. Sep. 26 The Perron Method In this lecture we show that one can show existence of solutions using maximum principle alone.. The Perron method. Recall in the last lecture we have shown the existence of solutions

More information

Regularity of local minimizers of the interaction energy via obstacle problems

Regularity of local minimizers of the interaction energy via obstacle problems Regularity of local minimizers of the interaction energy via obstacle problems J. A. Carrillo, M. G. Delgadino, A. Mellet September 22, 2014 Abstract The repulsion strength at the origin for repulsive/attractive

More information

Function 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) 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 information

CMS winter meeting 2008, Ottawa. The heat kernel on connected sums

CMS winter meeting 2008, Ottawa. The heat kernel on connected sums CMS winter meeting 2008, Ottawa The heat kernel on connected sums Laurent Saloff-Coste (Cornell University) December 8 2008 p(t, x, y) = The heat kernel ) 1 x y 2 exp ( (4πt) n/2 4t The heat kernel is:

More information

Harmonic Functions and Brownian motion

Harmonic Functions and Brownian motion Harmonic Functions and Brownian motion Steven P. Lalley April 25, 211 1 Dynkin s Formula Denote by W t = (W 1 t, W 2 t,..., W d t ) a standard d dimensional Wiener process on (Ω, F, P ), and let F = (F

More information

PRODUCTS OF RANDOM MATRICES AND DERIVATIVES ON P.C.F. FRACTALS

PRODUCTS OF RANDOM MATRICES AND DERIVATIVES ON P.C.F. FRACTALS PRODUCTS OF RANDOM MATRICES AND DERIVATIVES ON P.C.F. FRACTALS ANDERS PELANDER AND ALEXANDER TEPLYAEV Abstract. We define and study intrinsic first order derivatives on post critically finite fractals

More information

A LOCALIZATION PROPERTY AT THE BOUNDARY FOR MONGE-AMPERE EQUATION

A LOCALIZATION PROPERTY AT THE BOUNDARY FOR MONGE-AMPERE EQUATION A LOCALIZATION PROPERTY AT THE BOUNDARY FOR MONGE-AMPERE EQUATION O. SAVIN. Introduction In this paper we study the geometry of the sections for solutions to the Monge- Ampere equation det D 2 u = f, u

More information

Boundary 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 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 information

Partial Differential Equations

Partial Differential Equations Part II Partial Differential Equations Year 2015 2014 2013 2012 2011 2010 2009 2008 2007 2006 2005 2015 Paper 4, Section II 29E Partial Differential Equations 72 (a) Show that the Cauchy problem for u(x,

More information

Stochastic Processes on Fractals. Takashi Kumagai (RIMS, Kyoto University, Japan)

Stochastic Processes on Fractals. Takashi Kumagai (RIMS, Kyoto University, Japan) Stochastic Processes on Fractals Takashi Kumagai (RIMS, Kyoto University, Japan) http://www.kurims.kyoto-u.ac.jp/~kumagai/ Stochastic Analysis and Related Topics July 2006 at Marburg Plan (L1) Brownian

More information

Integral operators. Jordan Bell Department of Mathematics, University of Toronto. April 22, X F x(y)dµ(y) x N c 1 0 x N 1

Integral operators. Jordan Bell Department of Mathematics, University of Toronto. April 22, X F x(y)dµ(y) x N c 1 0 x N 1 Integral operators Jordan Bell jordan.bell@gmail.com Department of Mathematics, University of Toronto April 22, 2016 1 Product measures Let (, A, µ be a σ-finite measure space. Then with A A the product

More information

Ricci curvature and geometric analysis on Graphs

Ricci curvature and geometric analysis on Graphs Ricci curvature and geometric analysis on Graphs Yong Lin Renmin University of China July 9, 2014 Ricci curvature on graphs 1 Let G = (V, E) be a graph, where V is a vertices set and E is the set of edges.

More information

It follows from the above inequalities that for c C 1

It follows from the above inequalities that for c C 1 3 Spaces L p 1. In this part we fix a measure space (, A, µ) (we may assume that µ is complete), and consider the A -measurable functions on it. 2. For f L 1 (, µ) set f 1 = f L 1 = f L 1 (,µ) = f dµ.

More information

x 0 + f(x), exist as extended real numbers. Show that f is upper semicontinuous This shows ( ɛ, ɛ) B α. Thus

x 0 + f(x), exist as extended real numbers. Show that f is upper semicontinuous This shows ( ɛ, ɛ) B α. Thus Homework 3 Solutions, Real Analysis I, Fall, 2010. (9) Let f : (, ) [, ] be a function whose restriction to (, 0) (0, ) is continuous. Assume the one-sided limits p = lim x 0 f(x), q = lim x 0 + f(x) exist

More information

Poincaré inequalities that fail

Poincaré inequalities that fail ي ۆ Poincaré inequalities that fail to constitute an open-ended condition Lukáš Malý Workshop on Geometric Measure Theory July 14, 2017 Poincaré inequalities Setting Let (X, d, µ) be a complete metric

More information

ON PARABOLIC HARNACK INEQUALITY

ON PARABOLIC HARNACK INEQUALITY ON PARABOLIC HARNACK INEQUALITY JIAXIN HU Abstract. We show that the parabolic Harnack inequality is equivalent to the near-diagonal lower bound of the Dirichlet heat kernel on any ball in a metric measure-energy

More information

Inégalités de dispersion via le semi-groupe de la chaleur

Inégalités de dispersion via le semi-groupe de la chaleur Inégalités de dispersion via le semi-groupe de la chaleur Valentin Samoyeau, Advisor: Frédéric Bernicot. Laboratoire de Mathématiques Jean Leray, Université de Nantes January 28, 2016 1 Introduction Schrödinger

More information

SHARP BOUNDARY TRACE INEQUALITIES. 1. Introduction

SHARP BOUNDARY TRACE INEQUALITIES. 1. Introduction SHARP BOUNDARY TRACE INEQUALITIES GILES AUCHMUTY Abstract. This paper describes sharp inequalities for the trace of Sobolev functions on the boundary of a bounded region R N. The inequalities bound (semi-)norms

More information

Singular Integrals and Elliptic Boundary Problems on Regular Semmes Kenig Toro Domains

Singular Integrals and Elliptic Boundary Problems on Regular Semmes Kenig Toro Domains S. Hofmann et al. (2010 Singular Integrals and Elliptic Boundary Problems on Regular Semmes Kenig Toro Domains, International Mathematics Research Notices, Vol. 2010, No. 14, pp. 2567 2865 Advance Access

More information

A NOTE ON CORRELATION AND LOCAL DIMENSIONS

A NOTE ON CORRELATION AND LOCAL DIMENSIONS A NOTE ON CORRELATION AND LOCAL DIMENSIONS JIAOJIAO YANG, ANTTI KÄENMÄKI, AND MIN WU Abstract Under very mild assumptions, we give formulas for the correlation and local dimensions of measures on the limit

More information

1. Introduction Boundary estimates for the second derivatives of the solution to the Dirichlet problem for the Monge-Ampere equation

1. Introduction Boundary estimates for the second derivatives of the solution to the Dirichlet problem for the Monge-Ampere equation POINTWISE C 2,α ESTIMATES AT THE BOUNDARY FOR THE MONGE-AMPERE EQUATION O. SAVIN Abstract. We prove a localization property of boundary sections for solutions to the Monge-Ampere equation. As a consequence

More information

Rigidity of harmonic measure

Rigidity of harmonic measure F U N D A M E N T A MATHEMATICAE 150 (1996) Rigidity of harmonic measure by I. P o p o v i c i and A. V o l b e r g (East Lansing, Mich.) Abstract. Let J be the Julia set of a conformal dynamics f. Provided

More information

ON A LITTLEWOOD-PALEY TYPE INEQUALITY

ON A LITTLEWOOD-PALEY TYPE INEQUALITY ON A LITTLEWOOD-PALEY TYPE INEQUALITY OLIVERA DJORDJEVIĆ AND MIROSLAV PAVLOVIĆ Abstract. It is proved the following: If u is a function harmonic in the unit ball R N, and 0 < p 1, then there holds the

More information

Math 4317 : Real Analysis I Mid-Term Exam 1 25 September 2012

Math 4317 : Real Analysis I Mid-Term Exam 1 25 September 2012 Instructions: Answer all of the problems. Math 4317 : Real Analysis I Mid-Term Exam 1 25 September 2012 Definitions (2 points each) 1. State the definition of a metric space. A metric space (X, d) is set

More information

Local and Non-Local Dirichlet Forms on the Sierpiński Carpet

Local and Non-Local Dirichlet Forms on the Sierpiński Carpet Local and Non-Local Dirichlet Forms on the Sierpiński Carpet Alexander Grigor yan and Meng Yang Abstract We give a purely analytic construction of a self-similar local regular Dirichlet form on the Sierpiński

More information

The Lusin area function and admissible convergence of harmon. non-homogeneous trees

The Lusin area function and admissible convergence of harmon. non-homogeneous trees The Lusin area function and admissible convergence of harmonic functions on non-homogeneous trees Mathematics Department, University of Roma Tor Vergata Bardonecchia, June 15th, 2009 We prove admissible

More information

Phase-field systems with nonlinear coupling and dynamic boundary conditions

Phase-field systems with nonlinear coupling and dynamic boundary conditions 1 / 46 Phase-field systems with nonlinear coupling and dynamic boundary conditions Cecilia Cavaterra Dipartimento di Matematica F. Enriques Università degli Studi di Milano cecilia.cavaterra@unimi.it VIII

More information

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

The Dirichlet s P rinciple. In this lecture we discuss an alternative formulation of the Dirichlet problem for the Laplace equation: Oct. 1 The Dirichlet s P rinciple In this lecture we discuss an alternative formulation of the Dirichlet problem for the Laplace equation: 1. Dirichlet s Principle. u = in, u = g on. ( 1 ) If we multiply

More information

Stochastic analysis for Markov processes

Stochastic 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 information

CTRW Limits: Governing Equations and Fractal Dimensions

CTRW Limits: Governing Equations and Fractal Dimensions CTRW Limits: Governing Equations and Fractal Dimensions Erkan Nane DEPARTMENT OF MATHEMATICS AND STATISTICS AUBURN UNIVERSITY August 19-23, 2013 Joint work with Z-Q. Chen, M. D Ovidio, M.M. Meerschaert,

More information

The Dirichlet-to-Neumann operator

The Dirichlet-to-Neumann operator Lecture 8 The Dirichlet-to-Neumann operator The Dirichlet-to-Neumann operator plays an important role in the theory of inverse problems. In fact, from measurements of electrical currents at the surface

More information

OBTAINING UPPER BOUNDS OF HEAT KERNELS FROM LOWER BOUNDS

OBTAINING UPPER BOUNDS OF HEAT KERNELS FROM LOWER BOUNDS OBTAINING UPPER BOUNDS OF HEAT KERNELS FRO LOWER BOUNDS ALEXANDER GRIGOR YAN, JIAXIN HU, AND KA-SING LAU Abstract. We show that a near-diagonal lower bound of the heat kernel of a Dirichlet form on a metric

More information

Free energy estimates for the two-dimensional Keller-Segel model

Free energy estimates for the two-dimensional Keller-Segel model Free energy estimates for the two-dimensional Keller-Segel model dolbeaul@ceremade.dauphine.fr CEREMADE CNRS & Université Paris-Dauphine in collaboration with A. Blanchet (CERMICS, ENPC & Ceremade) & B.

More information

Tools from Lebesgue integration

Tools from Lebesgue integration Tools from Lebesgue integration E.P. van den Ban Fall 2005 Introduction In these notes we describe some of the basic tools from the theory of Lebesgue integration. Definitions and results will be given

More information

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

ON THE REGULARITY OF SAMPLE PATHS OF SUB-ELLIPTIC DIFFUSIONS ON MANIFOLDS Bendikov, A. and Saloff-Coste, L. Osaka J. Math. 4 (5), 677 7 ON THE REGULARITY OF SAMPLE PATHS OF SUB-ELLIPTIC DIFFUSIONS ON MANIFOLDS ALEXANDER BENDIKOV and LAURENT SALOFF-COSTE (Received March 4, 4)

More information

OPTIMAL POTENTIALS FOR SCHRÖDINGER OPERATORS. 1. Introduction In this paper we consider optimization problems of the form. min F (V ) : V V, (1.

OPTIMAL POTENTIALS FOR SCHRÖDINGER OPERATORS. 1. Introduction In this paper we consider optimization problems of the form. min F (V ) : V V, (1. OPTIMAL POTENTIALS FOR SCHRÖDINGER OPERATORS G. BUTTAZZO, A. GEROLIN, B. RUFFINI, AND B. VELICHKOV Abstract. We consider the Schrödinger operator + V (x) on H 0 (), where is a given domain of R d. Our

More information

The Gaussian free field, Gibbs measures and NLS on planar domains

The 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

Eugenia Malinnikova NTNU. March E. Malinnikova Propagation of smallness for elliptic PDEs

Eugenia Malinnikova NTNU. March E. Malinnikova Propagation of smallness for elliptic PDEs Remez inequality and propagation of smallness for solutions of second order elliptic PDEs Part II. Logarithmic convexity for harmonic functions and solutions of elliptic PDEs Eugenia Malinnikova NTNU March

More information

Dirichlet s principle and well posedness of steady state solutions in peridynamics

Dirichlet s principle and well posedness of steady state solutions in peridynamics Dirichlet s principle and well posedness of steady state solutions in peridynamics Petronela Radu Work supported by NSF - DMS award 0908435 January 19, 2011 The steady state peridynamic model Consider

More information

Products of random matrices and derivatives on p.c.f. fractals

Products of random matrices and derivatives on p.c.f. fractals Journal of Functional Analysis 254 (2008) 1188 1216 www.elsevier.com/locate/jfa Products of random matrices and derivatives on p.c.f. fractals Anders Pelander a, Alexander Teplyaev b, a Institute for Applied

More information

Applied Analysis (APPM 5440): Final exam 1:30pm 4:00pm, Dec. 14, Closed books.

Applied Analysis (APPM 5440): Final exam 1:30pm 4:00pm, Dec. 14, Closed books. Applied Analysis APPM 44: Final exam 1:3pm 4:pm, Dec. 14, 29. Closed books. Problem 1: 2p Set I = [, 1]. Prove that there is a continuous function u on I such that 1 ux 1 x sin ut 2 dt = cosx, x I. Define

More information

Introduction to the Boundary Element Method

Introduction to the Boundary Element Method Introduction to the Boundary Element Method Salim Meddahi University of Oviedo, Spain University of Trento, Trento April 27 - May 15, 2015 1 Syllabus The Laplace problem Potential theory: the classical

More information

ENTRY POTENTIAL THEORY. [ENTRY POTENTIAL THEORY] Authors: Oliver Knill: jan 2003 Literature: T. Ransford, Potential theory in the complex plane.

ENTRY POTENTIAL THEORY. [ENTRY POTENTIAL THEORY] Authors: Oliver Knill: jan 2003 Literature: T. Ransford, Potential theory in the complex plane. ENTRY POTENTIAL THEORY [ENTRY POTENTIAL THEORY] Authors: Oliver Knill: jan 2003 Literature: T. Ransford, Potential theory in the complex plane. Analytic [Analytic] Let D C be an open set. A continuous

More information

Local Asymmetry and the Inner Radius of Nodal Domains

Local Asymmetry and the Inner Radius of Nodal Domains Local Asymmetry and the Inner Radius of Nodal Domains Dan MANGOUBI Institut des Hautes Études Scientifiques 35, route de Chartres 91440 Bures-sur-Yvette (France) Avril 2007 IHES/M/07/14 Local Asymmetry

More information

Spectral Properties of the Hata Tree

Spectral 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 information

Heat kernel asymptotics on the usual and harmonic Sierpinski gaskets. Cornell Prob. Summer School 2010 July 22, 2010

Heat kernel asymptotics on the usual and harmonic Sierpinski gaskets. Cornell Prob. Summer School 2010 July 22, 2010 Heat kernel asymptotics on the usual and harmonic Sierpinski gaskets Naotaka Kajino (Kyoto University) http://www-an.acs.i.kyoto-u.ac.jp/~kajino.n/ Cornell Prob. Summer School 2010 July 22, 2010 For some

More information

LECTURE 15: COMPLETENESS AND CONVEXITY

LECTURE 15: COMPLETENESS AND CONVEXITY LECTURE 15: COMPLETENESS AND CONVEXITY 1. The Hopf-Rinow Theorem Recall that a Riemannian manifold (M, g) is called geodesically complete if the maximal defining interval of any geodesic is R. On the other

More information

Solution Sheet 3. Solution Consider. with the metric. We also define a subset. and thus for any x, y X 0

Solution Sheet 3. Solution Consider. with the metric. We also define a subset. and thus for any x, y X 0 Solution Sheet Throughout this sheet denotes a domain of R n with sufficiently smooth boundary. 1. Let 1 p

More information