Spectral analysis and diffusions on singular...

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Spectral analysis and diffusions on singular spaces Alexander Teplyaev joint work with Patricia Alonso-Ruiz, Toni Brzoska, Joe Chen, Michael Hinz Stanislav Molchanov, Luke Rogers, Rodrigo Trevino et al. Friday, February 9, 2018 UMD Kirwan Hall Sasha Teplyaev (UConn) Spectral analysis and diffusions on non-smooth spaces UMD Kirwan Hall 1 / 20

Transcript of Spectral analysis and diffusions on singular...

Page 1: Spectral analysis and diffusions on singular spacesteplyaev.math.uconn.edu/teplyaev-2018-UMD.pdfSpectral analysis and di usions on singular spaces Alexander Teplyaev joint work with

Spectral analysis and diffusions on singular spaces

Alexander Teplyaevjoint work with Patricia Alonso-Ruiz, Toni Brzoska, Joe Chen, Michael Hinz

Stanislav Molchanov, Luke Rogers, Rodrigo Trevino et al.

Friday, February 9, 2018

UMD Kirwan Hall

Sasha Teplyaev (UConn) Spectral analysis and diffusions on non-smooth spaces UMD Kirwan Hall 1 / 20

Page 2: Spectral analysis and diffusions on singular spacesteplyaev.math.uconn.edu/teplyaev-2018-UMD.pdfSpectral analysis and di usions on singular spaces Alexander Teplyaev joint work with

outline:Introduction and motivation.1. Spectral analysis on fractals:

I Weak Uncertainty Principle (Kasso Okoudjou, LaurentSaloff-Coste, Bob Strichartz, T., 2004-08)

I Laplacians on fractals with spectral gaps gaps have nicer Fourierseries (Bob Strichartz, 2005)

I Bohr asymptotics on infinite Sierpinski gasket (with Joe Chen,Stanislav Molchanov, 2015).

I Singularly continuous spectrum of a self-similar Laplacian on thehalf-line (with Joe Chen, 2016).

2. Spectrum of the Laplacian on the Basilica Julia set(with Toni Brzoska, Luke Rogers et al. (research in progress)).

3. Canonical diffusions on the pattern spaces of aperiodic Delonesets (with Patricia Alonso-Ruiz, Michael Hinz, Rodrigo Trevino(research in progress)).

This is a part of the broader program to develop probabilistic, spectral andvector analysis on singular spaces by carefully building approximations bygraphs or manifolds.

Sasha Teplyaev (UConn) Spectral analysis and diffusions on non-smooth spaces UMD Kirwan Hall 2 / 20

Page 3: Spectral analysis and diffusions on singular spacesteplyaev.math.uconn.edu/teplyaev-2018-UMD.pdfSpectral analysis and di usions on singular spaces Alexander Teplyaev joint work with

outline:Introduction and motivation.1. Spectral analysis on fractals:

I Weak Uncertainty Principle (Kasso Okoudjou, LaurentSaloff-Coste, Bob Strichartz, T., 2004-08)

I Laplacians on fractals with spectral gaps gaps have nicer Fourierseries (Bob Strichartz, 2005)

I Bohr asymptotics on infinite Sierpinski gasket (with Joe Chen,Stanislav Molchanov, 2015).

I Singularly continuous spectrum of a self-similar Laplacian on thehalf-line (with Joe Chen, 2016).

2. Spectrum of the Laplacian on the Basilica Julia set(with Toni Brzoska, Luke Rogers et al. (research in progress)).

3. Canonical diffusions on the pattern spaces of aperiodic Delonesets (with Patricia Alonso-Ruiz, Michael Hinz, Rodrigo Trevino(research in progress)).

This is a part of the broader program to develop probabilistic, spectral andvector analysis on singular spaces by carefully building approximations bygraphs or manifolds.

Sasha Teplyaev (UConn) Spectral analysis and diffusions on non-smooth spaces UMD Kirwan Hall 2 / 20

Page 4: Spectral analysis and diffusions on singular spacesteplyaev.math.uconn.edu/teplyaev-2018-UMD.pdfSpectral analysis and di usions on singular spaces Alexander Teplyaev joint work with

outline:Introduction and motivation.1. Spectral analysis on fractals:

I Weak Uncertainty Principle (Kasso Okoudjou, LaurentSaloff-Coste, Bob Strichartz, T., 2004-08)

I Laplacians on fractals with spectral gaps gaps have nicer Fourierseries (Bob Strichartz, 2005)

I Bohr asymptotics on infinite Sierpinski gasket (with Joe Chen,Stanislav Molchanov, 2015).

I Singularly continuous spectrum of a self-similar Laplacian on thehalf-line (with Joe Chen, 2016).

2. Spectrum of the Laplacian on the Basilica Julia set(with Toni Brzoska, Luke Rogers et al. (research in progress)).

3. Canonical diffusions on the pattern spaces of aperiodic Delonesets (with Patricia Alonso-Ruiz, Michael Hinz, Rodrigo Trevino(research in progress)).

This is a part of the broader program to develop probabilistic, spectral andvector analysis on singular spaces by carefully building approximations bygraphs or manifolds.

Sasha Teplyaev (UConn) Spectral analysis and diffusions on non-smooth spaces UMD Kirwan Hall 2 / 20

Page 5: Spectral analysis and diffusions on singular spacesteplyaev.math.uconn.edu/teplyaev-2018-UMD.pdfSpectral analysis and di usions on singular spaces Alexander Teplyaev joint work with

outline:Introduction and motivation.1. Spectral analysis on fractals:

I Weak Uncertainty Principle (Kasso Okoudjou, LaurentSaloff-Coste, Bob Strichartz, T., 2004-08)

I Laplacians on fractals with spectral gaps gaps have nicer Fourierseries (Bob Strichartz, 2005)

I Bohr asymptotics on infinite Sierpinski gasket (with Joe Chen,Stanislav Molchanov, 2015).

I Singularly continuous spectrum of a self-similar Laplacian on thehalf-line (with Joe Chen, 2016).

2. Spectrum of the Laplacian on the Basilica Julia set(with Toni Brzoska, Luke Rogers et al. (research in progress)).

3. Canonical diffusions on the pattern spaces of aperiodic Delonesets (with Patricia Alonso-Ruiz, Michael Hinz, Rodrigo Trevino(research in progress)).

This is a part of the broader program to develop probabilistic, spectral andvector analysis on singular spaces by carefully building approximations bygraphs or manifolds.

Sasha Teplyaev (UConn) Spectral analysis and diffusions on non-smooth spaces UMD Kirwan Hall 2 / 20

Page 6: Spectral analysis and diffusions on singular spacesteplyaev.math.uconn.edu/teplyaev-2018-UMD.pdfSpectral analysis and di usions on singular spaces Alexander Teplyaev joint work with

outline:Introduction and motivation.1. Spectral analysis on fractals:

I Weak Uncertainty Principle (Kasso Okoudjou, LaurentSaloff-Coste, Bob Strichartz, T., 2004-08)

I Laplacians on fractals with spectral gaps gaps have nicer Fourierseries (Bob Strichartz, 2005)

I Bohr asymptotics on infinite Sierpinski gasket (with Joe Chen,Stanislav Molchanov, 2015).

I Singularly continuous spectrum of a self-similar Laplacian on thehalf-line (with Joe Chen, 2016).

2. Spectrum of the Laplacian on the Basilica Julia set(with Toni Brzoska, Luke Rogers et al. (research in progress)).

3. Canonical diffusions on the pattern spaces of aperiodic Delonesets (with Patricia Alonso-Ruiz, Michael Hinz, Rodrigo Trevino(research in progress)).

This is a part of the broader program to develop probabilistic, spectral andvector analysis on singular spaces by carefully building approximations bygraphs or manifolds.

Sasha Teplyaev (UConn) Spectral analysis and diffusions on non-smooth spaces UMD Kirwan Hall 2 / 20

Page 7: Spectral analysis and diffusions on singular spacesteplyaev.math.uconn.edu/teplyaev-2018-UMD.pdfSpectral analysis and di usions on singular spaces Alexander Teplyaev joint work with

outline:Introduction and motivation.1. Spectral analysis on fractals:

I Weak Uncertainty Principle (Kasso Okoudjou, LaurentSaloff-Coste, Bob Strichartz, T., 2004-08)

I Laplacians on fractals with spectral gaps gaps have nicer Fourierseries (Bob Strichartz, 2005)

I Bohr asymptotics on infinite Sierpinski gasket (with Joe Chen,Stanislav Molchanov, 2015).

I Singularly continuous spectrum of a self-similar Laplacian on thehalf-line (with Joe Chen, 2016).

2. Spectrum of the Laplacian on the Basilica Julia set(with Toni Brzoska, Luke Rogers et al. (research in progress)).

3. Canonical diffusions on the pattern spaces of aperiodic Delonesets (with Patricia Alonso-Ruiz, Michael Hinz, Rodrigo Trevino(research in progress)).

This is a part of the broader program to develop probabilistic, spectral andvector analysis on singular spaces by carefully building approximations bygraphs or manifolds.

Sasha Teplyaev (UConn) Spectral analysis and diffusions on non-smooth spaces UMD Kirwan Hall 2 / 20

Page 8: Spectral analysis and diffusions on singular spacesteplyaev.math.uconn.edu/teplyaev-2018-UMD.pdfSpectral analysis and di usions on singular spaces Alexander Teplyaev joint work with

outline:Introduction and motivation.1. Spectral analysis on fractals:

I Weak Uncertainty Principle (Kasso Okoudjou, LaurentSaloff-Coste, Bob Strichartz, T., 2004-08)

I Laplacians on fractals with spectral gaps gaps have nicer Fourierseries (Bob Strichartz, 2005)

I Bohr asymptotics on infinite Sierpinski gasket (with Joe Chen,Stanislav Molchanov, 2015).

I Singularly continuous spectrum of a self-similar Laplacian on thehalf-line (with Joe Chen, 2016).

2. Spectrum of the Laplacian on the Basilica Julia set(with Toni Brzoska, Luke Rogers et al. (research in progress)).

3. Canonical diffusions on the pattern spaces of aperiodic Delonesets (with Patricia Alonso-Ruiz, Michael Hinz, Rodrigo Trevino(research in progress)).

This is a part of the broader program to develop probabilistic, spectral andvector analysis on singular spaces by carefully building approximations bygraphs or manifolds.

Sasha Teplyaev (UConn) Spectral analysis and diffusions on non-smooth spaces UMD Kirwan Hall 2 / 20

Page 9: Spectral analysis and diffusions on singular spacesteplyaev.math.uconn.edu/teplyaev-2018-UMD.pdfSpectral analysis and di usions on singular spaces Alexander Teplyaev joint work with

outline:Introduction and motivation.1. Spectral analysis on fractals:

I Weak Uncertainty Principle (Kasso Okoudjou, LaurentSaloff-Coste, Bob Strichartz, T., 2004-08)

I Laplacians on fractals with spectral gaps gaps have nicer Fourierseries (Bob Strichartz, 2005)

I Bohr asymptotics on infinite Sierpinski gasket (with Joe Chen,Stanislav Molchanov, 2015).

I Singularly continuous spectrum of a self-similar Laplacian on thehalf-line (with Joe Chen, 2016).

2. Spectrum of the Laplacian on the Basilica Julia set(with Toni Brzoska, Luke Rogers et al. (research in progress)).

3. Canonical diffusions on the pattern spaces of aperiodic Delonesets (with Patricia Alonso-Ruiz, Michael Hinz, Rodrigo Trevino(research in progress)).

This is a part of the broader program to develop probabilistic, spectral andvector analysis on singular spaces by carefully building approximations bygraphs or manifolds.

Sasha Teplyaev (UConn) Spectral analysis and diffusions on non-smooth spaces UMD Kirwan Hall 2 / 20

Page 10: Spectral analysis and diffusions on singular spacesteplyaev.math.uconn.edu/teplyaev-2018-UMD.pdfSpectral analysis and di usions on singular spaces Alexander Teplyaev joint work with

outline:Introduction and motivation.1. Spectral analysis on fractals:

I Weak Uncertainty Principle (Kasso Okoudjou, LaurentSaloff-Coste, Bob Strichartz, T., 2004-08)

I Laplacians on fractals with spectral gaps gaps have nicer Fourierseries (Bob Strichartz, 2005)

I Bohr asymptotics on infinite Sierpinski gasket (with Joe Chen,Stanislav Molchanov, 2015).

I Singularly continuous spectrum of a self-similar Laplacian on thehalf-line (with Joe Chen, 2016).

2. Spectrum of the Laplacian on the Basilica Julia set(with Toni Brzoska, Luke Rogers et al. (research in progress)).

3. Canonical diffusions on the pattern spaces of aperiodic Delonesets (with Patricia Alonso-Ruiz, Michael Hinz, Rodrigo Trevino(research in progress)).

This is a part of the broader program to develop probabilistic, spectral andvector analysis on singular spaces by carefully building approximations bygraphs or manifolds.

Sasha Teplyaev (UConn) Spectral analysis and diffusions on non-smooth spaces UMD Kirwan Hall 2 / 20

Page 11: Spectral analysis and diffusions on singular spacesteplyaev.math.uconn.edu/teplyaev-2018-UMD.pdfSpectral analysis and di usions on singular spaces Alexander Teplyaev joint work with

Asymptotic aspects of Schreier graphs and Hanoi Towers groups

Rostislav Grigorchuk 1, Zoran SunikDepartment of Mathematics, Texas A&M University, MS-3368, College Station, TX, 77843-3368, USA

Received 23 January, 2006; accepted after revision +++++

Presented by Etienne Ghys

Abstract

We present relations between growth, growth of diameters and the rate of vanishing of the spectral gap in Schreier

graphs of automaton groups. In particular, we introduce a series of examples, called Hanoi Towers groups since

they model the well known Hanoi Towers Problem, that illustrate some of the possible types of behavior. To cite

this article: R. Grigorchuk, Z. Sunik, C. R. Acad. Sci. Paris, Ser. I 344 (2006).

PSfrag repla ements

a23a01a02 a03 a12a132; 3 0; 1 0; 2 0; 31; 21; 3 0001 112 22

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Figure 1. The automaton generating H(4) and the Schreier graph of H

(3) at level 3 / L’automate engendrant H(4) et le

graphe de Schreier de H(3) au niveau 3

Page 12: Spectral analysis and diffusions on singular spacesteplyaev.math.uconn.edu/teplyaev-2018-UMD.pdfSpectral analysis and di usions on singular spaces Alexander Teplyaev joint work with

Asymptotic aspects of Schreier graphs and Hanoi Towers groups

Rostislav Grigorchuk 1, Zoran SunikDepartment of Mathematics, Texas A&M University, MS-3368, College Station, TX, 77843-3368, USA

Received 23 January, 2006; accepted after revision +++++

Presented by Etienne Ghys

Abstract

We present relations between growth, growth of diameters and the rate of vanishing of the spectral gap in Schreier

graphs of automaton groups. In particular, we introduce a series of examples, called Hanoi Towers groups since

they model the well known Hanoi Towers Problem, that illustrate some of the possible types of behavior. To cite

this article: R. Grigorchuk, Z. Sunik, C. R. Acad. Sci. Paris, Ser. I 344 (2006).

PSfrag repla ements

a23a01a02 a03 a12a132; 3 0; 1 0; 2 0; 31; 21; 3 0001 112 22

33 3(01)(02) (03)

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Figure 1. The automaton generating H(4) and the Schreier graph of H

(3) at level 3 / L’automate engendrant H(4) et le

graphe de Schreier de H(3) au niveau 3

Page 13: Spectral analysis and diffusions on singular spacesteplyaev.math.uconn.edu/teplyaev-2018-UMD.pdfSpectral analysis and di usions on singular spaces Alexander Teplyaev joint work with

PHYSICAL REVIEW B VOLUME 31, NUMBER 3 1 FEBRUARY 1985

Energy spectrum for a fracta1 lattice in a magnetic field

r

Jayanth R. BanavarSchlumberger Doll-Research, Old Quarry Road, Ridgefield, Connecticut 06877-4108

Leo KadanoffDepartment of Physics, Uniuersity of Chicago, Chicago, Illinois 60637

A. M. M. PruiskenSchlumberger Doll -Research, Old Quarry Road, Ridgefield, Connecticut 06877-4I08

(Received 10 September 1984)

To simulate a kind of magnetic field in a fractal environment we study the tight-bindingSchrodinger equation on a Sierpinski gasket. The magnetic field is represented by the introductionof a phase onto each hopping matrix element. The energy levels can then be determined by eitherdirect diagonalization or recursive methods. The introduction of a phase breaks all the degeneracieswhich exist in and dominate the zero-field solution. The spectrum in the field may be viewed asconsiderably broader than the spectrum with no field. A novel feature of the recursion relations isthat it leads to a power-law behavior of the escape rate. Green's-function arguments suggest that amajority of the eigenstates are truly extended despite the finite order of ramification of the fractallattice.

I. INTRODUCTION

Hamiltonians defined on fractal surfaces have been thesubject of many papers lately. ' In particular, Domanyet al. ' have given a detailed analysis of the spectrum ofeigehstates of the Schrodinger equation defined on a two-dimensional (2D) Sierpinski gasket. This calculation isbased upon exact decimination techniques which providea powerful semianalytical method of finding detailedproperties of the Hamiltonian.

Problems of fractal lattices are reminiscent of (but verymuch simpler than) those which are conventionally stud-ied for electron localization. For this situation the locali-zation. can be rather fully understood. One learns, for ex-ample, that, although there are a few extended states,most states are very highly localized, on finitely ramifiedfractals. Furthermore, almost all the states have a veryhigh degree of degeneracy. Of course, the observed locali-zation phenomena on these systems are fundamentallydifferent from Anderson localization. For one thing,these lattices give a finite order of ramification. Foranother, if one chooses to describe the self-similar struc-ture by configurational disorder (e.g., by cutting somebonds) then the resulting "disorder" is highly correlated.Nonetheless, these systems form interesting test caseswhich are worth studying.

In this paper we study magnetic field effects on elec-tronic motion through a 2D Sierpinski gasket (Fig. 1).Following Alexander, we describe the motion by givingan electronic wave function at each mode of the lattice,

The tight-binding Hamiltonian fixes the hopping ma-trix element between neighboring sites to have a magni-tude

~ f ~

which is the same for all nearest-neighbor sitesand zero otherwise. A magnetic field is defined by givingthe value of the phase on each bond so that the sum ofphases along a closed path is the magnetic flux enclosed

by the path.The very simplest model is chosen by taking all bonds

to have exactly the same phase. We make this choice byallowing all bonds in the direction of the arrows in Fig. 1

to have a matrix element f= foe'~, and all bonds oppositeto the arrows to have f=foe '~, with fo real and posi-tive. Although this choice gives a natural bond pattern,the magnetic flux pattern is far less natural. All the ele-mentary upward-pointing triangles, like those labeled 3 inthe figure, have the very same flux, N+ ——3P. However,using the same convention for the sign of the flux, thesmallest downward-pointing triangles labeled 8 have flux@~———3tb, while larger downward-pointing triangles havelarger negative flux, for example, Nc ———6P. Hence, themagnetic field pattern studied is quite nontrivial.

I C IIFIG. 1. Fragment of the Sierpinski gasket. The phase of the

hopping matrix is equal to P in the direction of the arrow and—P otherwise.

31 1388 1985 The American Physical Society

Page 14: Spectral analysis and diffusions on singular spacesteplyaev.math.uconn.edu/teplyaev-2018-UMD.pdfSpectral analysis and di usions on singular spaces Alexander Teplyaev joint work with

PHYSICAL REVIEW B VOLUME 31, NUMBER 3 1 FEBRUARY 1985

Energy spectrum for a fracta1 lattice in a magnetic field

r

Jayanth R. BanavarSchlumberger Doll-Research, Old Quarry Road, Ridgefield, Connecticut 06877-4108

Leo KadanoffDepartment of Physics, Uniuersity of Chicago, Chicago, Illinois 60637

A. M. M. PruiskenSchlumberger Doll -Research, Old Quarry Road, Ridgefield, Connecticut 06877-4I08

(Received 10 September 1984)

To simulate a kind of magnetic field in a fractal environment we study the tight-bindingSchrodinger equation on a Sierpinski gasket. The magnetic field is represented by the introductionof a phase onto each hopping matrix element. The energy levels can then be determined by eitherdirect diagonalization or recursive methods. The introduction of a phase breaks all the degeneracieswhich exist in and dominate the zero-field solution. The spectrum in the field may be viewed asconsiderably broader than the spectrum with no field. A novel feature of the recursion relations isthat it leads to a power-law behavior of the escape rate. Green's-function arguments suggest that amajority of the eigenstates are truly extended despite the finite order of ramification of the fractallattice.

I. INTRODUCTION

Hamiltonians defined on fractal surfaces have been thesubject of many papers lately. ' In particular, Domanyet al. ' have given a detailed analysis of the spectrum ofeigehstates of the Schrodinger equation defined on a two-dimensional (2D) Sierpinski gasket. This calculation isbased upon exact decimination techniques which providea powerful semianalytical method of finding detailedproperties of the Hamiltonian.

Problems of fractal lattices are reminiscent of (but verymuch simpler than) those which are conventionally stud-ied for electron localization. For this situation the locali-zation. can be rather fully understood. One learns, for ex-ample, that, although there are a few extended states,most states are very highly localized, on finitely ramifiedfractals. Furthermore, almost all the states have a veryhigh degree of degeneracy. Of course, the observed locali-zation phenomena on these systems are fundamentallydifferent from Anderson localization. For one thing,these lattices give a finite order of ramification. Foranother, if one chooses to describe the self-similar struc-ture by configurational disorder (e.g., by cutting somebonds) then the resulting "disorder" is highly correlated.Nonetheless, these systems form interesting test caseswhich are worth studying.

In this paper we study magnetic field effects on elec-tronic motion through a 2D Sierpinski gasket (Fig. 1).Following Alexander, we describe the motion by givingan electronic wave function at each mode of the lattice,

The tight-binding Hamiltonian fixes the hopping ma-trix element between neighboring sites to have a magni-tude

~ f ~

which is the same for all nearest-neighbor sitesand zero otherwise. A magnetic field is defined by givingthe value of the phase on each bond so that the sum ofphases along a closed path is the magnetic flux enclosed

by the path.The very simplest model is chosen by taking all bonds

to have exactly the same phase. We make this choice byallowing all bonds in the direction of the arrows in Fig. 1

to have a matrix element f= foe'~, and all bonds oppositeto the arrows to have f=foe '~, with fo real and posi-tive. Although this choice gives a natural bond pattern,the magnetic flux pattern is far less natural. All the ele-mentary upward-pointing triangles, like those labeled 3 inthe figure, have the very same flux, N+ ——3P. However,using the same convention for the sign of the flux, thesmallest downward-pointing triangles labeled 8 have flux@~———3tb, while larger downward-pointing triangles havelarger negative flux, for example, Nc ———6P. Hence, themagnetic field pattern studied is quite nontrivial.

I C IIFIG. 1. Fragment of the Sierpinski gasket. The phase of the

hopping matrix is equal to P in the direction of the arrow and—P otherwise.

31 1388 1985 The American Physical Society

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6/14/2014 François Englert - Wikipedia, the free encyclopedia

http://en.wikipedia.org/wiki/Fran%C3%A7ois_Englert 1/5

François Englert

François Englert in Israel, 2007

Born 6 November 1932

Etterbeek, Brussels, Belgium[1]

Nationality Belgian

Fields Theoretical physics

Institutions Université Libre de Bruxelles

Tel Aviv University[2][3]

Alma mater Université Libre de Bruxelles

Notable awards Francqui Prize (1982)

Wolf Prize in Physics (2004)

Sakurai Prize (2010)

Nobel Prize in Physics (2013)

François EnglertFrom Wikipedia, the free encyclopedia

François Baron Englert (French: [ɑɡlɛʁ]; born 6 November1932) is a Belgian theoretical physicist and 2013 Nobel prizelaureate (shared with Peter Higgs). He is Professor emeritusat the Université libre de Bruxelles (ULB) where he ismember of the Service de Physique Théorique. He is also aSackler Professor by Special Appointment in the School ofPhysics and Astronomy at Tel Aviv University and a memberof the Institute for Quantum Studies at Chapman University inCalifornia. He was awarded the 2010 J. J. Sakurai Prize forTheoretical Particle Physics (with Gerry Guralnik,C. R. Hagen, Tom Kibble, Peter Higgs, and Robert Brout),the Wolf Prize in Physics in 2004 (with Brout and Higgs) andthe High Energy and Particle Prize of the European PhysicalSociety (with Brout and Higgs) in 1997 for the mechanismwhich unifies short and long range interactions by generatingmassive gauge vector bosons. He has made contributions instatistical physics, quantum field theory, cosmology, string

theory and supergravity.[4] He is the recipient of the 2013Prince of Asturias Award in technical and scientific research,together with Peter Higgs and the CERN.

Englert was awarded the 2013 Nobel Prize in Physics,together with Peter Higgs for the discovery of the Higgs

mechanism.[5]

Contents

1 Early life

2 Academic career

3 The Brout–Englert–Higgs–Guralnik–Hagen–

Kibble mechanism[7]

4 Major awards

5 References

6 External links

Early life

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Nuclear Physics B280 [FS 18] (1987) 147-180 North-Holland, Amsterdam

METRIC SPACE-TIME AS FIXED POINT

OF THE RENORMALIZATION GROUP EQUATIONS

ON FRACTAL STRUCTURES

F. ENGLERT, J.-M. FRI~RE x and M. ROOMAN 2

Physique Thkorique, C.P. 225, Universitb Libre de Bruxelles, 1050 Brussels, Belgium

Ph. SPINDEL

Facultb des Sciences, Universitb de l'Etat it Mons, 7000 Mons, Belgium

Received 19 February 1986

We take a model of foamy space-time structure described by self-similar fractals. We study the propagation of a scalar field on such a background and we show that for almost any initial conditions the renormalization group equations lead to an effective highly symmetric metric at large scale.

1. Introduction

Quantum gravity presents a potential difficulty which persists in any unification

program which incorporates gravity in the framework of a local field theory in

dimensions d > 4. In all such theories a local O ( d - 1 , 1 ) space-time symmetry is quite generally assumed at the outset as a "kinematical" symmetry of the classical

action. Such an extrapolation from relatively large distances, where the symmetry

0(3 ,1) is tested to a genuine local property is questionable. Indeed, the unbounded- ness of the Einstein curvature term in the analytically continued euclidean action

signals violent fluctuations near the Planck scale. Hence a "foamy" fractal space-time structure is expected [1], from which the average metric below this scale should emerge in a dynamical way. There is no obvious reason why a smooth effective

metric should at all be generated, and even if it were, why it should bear any relation to the "bare" symmetrical local metric imposed on the "fundamental"

1 Chercheur qualifi~ du FNRS. 2 Chercheur IISN.

0619-6823/87/$03.50©Elsevier Science Publishers B.V. (North-Holland Physics Publishing Division)

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150 F. Englert et al. / Metric space-time

Fig. 1. The first two iterations of a 2-dimensional 3-fractal.

tive integers v i (i = 1 . . . . . d) such that their s u m Y~./d=lP i is less or equal to n. All these points are contained in the hypertetrahedron bounded by the coordinate hyperplanes and the E~a=lVi = n hyperplane. We distinguish interior points and points belonging to a k-face (k < d), that is points characterized by a set of coordinates vj which contains d - k subsets s such that ~ , ~svi = 0 (mod n). Every point belongs to the boundary of at least one sub-hypertetrahedron and two points are called neighbours if they belong to the same sub-hypertetrahedron. One goes from a point to one of its neighbours by one of the elementary translations t i and lij defined as:

_+ ti: v~--+ v~: , where v~ = v k if k :~ i,

v" = v i + 1 ;

l q : v--+ vj , w h e r e v'k = v k i f i 4= k --t= j ;

v" = v i + 1,

v~ = v j - 1. (2.1)

In general, an interior point admits d ( d + 1) neighbours reached by the 2d transla- tions ___t i and the d ( d - 1 ) l q translations. If a point belongs to a k-face of the hypertetrahedron, some of these operations reach a point outside the initial hyperte- trahedron. Actually, points belonging to a k-face have only d ( k + 1) neighbours.

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MIN KOWSKIAN

METRICS

EUCLIDEAN METRICS

/ /

/

/ /

/ /

/ /

/ /

/ /

/

\ \

N N

i~ °

fix

i I ' x I \ I " x

EUCLIDEAN

11

METRICS 03 ~ '~

c ~ = - P . . ~-

/3+1

Fig. 5. The plane of 2-parameter homogeneous metrics on the Sierpinski gasket. The hyperbole a = /3/(,8 + 1) separates the domain of euclidean metrics from minkowskian metrics and corresponds - except at the origin - to 1-dimensional metrics. ML, M 2, Ma denote unstable minkowskian fixed geometries while E corresponds to the stable euclidean fixed point. The unstable fixed points 01, 0 2 and 0 3 associated to 0-dimensional geometries are located at the origin and at infinity on the (a, /~) coordinates axis. The six straight lines are subsets invariant with respect to the recursion relation but repulsive in the region where they are dashed. The first points of two sequences of iterations are drawn. Note that for one of

them the 10th point (a = -56 .4 , /3 = -52 .5) is outside the frame of the figure.

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F. Englert et al. / Metric space-time

I , I

177

1,1 , I I

0 II,II

Fig. 10. A metrical representation of the two first iterations of a 2-dimensional 2-fractal corresponding to the euclidean fixed point. Vertices are labelled according to fig. 4.

angles of the cell without its base, that is 57r, minus the sum of the angles not belonging to the cell and touching the 3 exterior vertices of the cell, that is 6~r - ~r = 5~r. We find thus that the curvature of a cell is zero, which is consistent with the assumption that the space surrounding the cell is flat.

Though the exact value of the curvature at each vertex of a cell is subject to some arbitrariness, because of the arbitrariness showed in the previous section of the normalization of the ?~i9's at successive levels, one easily verifies that, for the homogeneous metrics considered here, all the non-zero cancelling curvatures are located at the cell boundaries. The vertices belonging to the p and (p + 1) levels ot fractalization have negative curvature, the others have positive curvature.

Consider now a metric n-fractal, n >> 1, cutoff after the first iteration (or equivalently a ( p - 1) triangle in a fractal cutoff at the p th level). The result is a triangular lattice. Because the integrated curvature of any cell is zero, the inside of the lattice is correctly described on the average by a locally flat metric. From

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170 R. MEYERS, R.S. STRICHARTZ AND A. TEPLYAEV

DDDDDDD

DDDD

``````````

\\\\\\\\\\\

rrr

rrr r

q1 q3

q2aa1

a2a3

xy

zFigure 6.4. Geometric interpretation of Proposition 6.1.

7. Effective resistance metric, Green’s functionand capacity of points

We first recall from [Ki4] some facts about limits of resistance networks.Although we state all the results of this section for the Sierpinski gasket,they can be applied to general pcf fractals with only minor changes.

Let E(f, f) be defined by (1.2) for any function f on V∗, where En is acompatible sequence of Dirichlet forms on Γn.

Proposition 7.1. Every point of V∗ =⋃

n≥0 Vn has positive capacity.

Proof. Let x ∈ V∗. Then x ∈ Vn for some n. The capacity of x with respectto E is the same as that with respect to En because of the compatibility ofthe sequence of networks. The latter capacity is positive because Vn is afinite set.

The effective resistance is defined for any x, y ∈ V∗ by

R(x, y) =(minuE(u, u) : u(x) = 1, u(y) = 0

)−1.(7.1)

Here the minimum is taken over all functions on V∗. Note that x, y ∈ Vnfor large enough n and that (7.1) does not change if E is replaced by En,because of the compatibility condition (see [Ki4], Proposition 2.1.11). ByTheorem 2.1.14 in [Ki4], R(x, y) is a metric on V∗. In what follows we willwrite R-continuity, R-closure etc. for continuity, closure etc. with respect tothe effective resistance metric R. It is known that if E(u, u) < ∞ then u isR-continuous ([Ki4], Theorem 2.2.6(1)). The main ingredient in the proofof this fact is the inequality

|u(x)− u(y)|2 ≤ R(x, y)E(u, u).(7.2)

Let Ω be the R-completion of V∗. We can conclude from (7.2) that if uis a function on V∗ such that E(u, u) <∞ then u has a unique continuation

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The Spectral Dimension of the Universe is Scale Dependent

J. Ambjørn,1,3,* J. Jurkiewicz,2,† and R. Loll3,‡

1The Niels Bohr Institute, Copenhagen University, Blegdamsvej 17, DK-2100 Copenhagen Ø, Denmark2Mark Kac Complex Systems Research Centre, Marian Smoluchowski Institute of Physics, Jagellonian University,

Reymonta 4, PL 30-059 Krakow, Poland3Institute for Theoretical Physics, Utrecht University, Leuvenlaan 4, NL-3584 CE Utrecht, The Netherlands

(Received 13 May 2005; published 20 October 2005)

We measure the spectral dimension of universes emerging from nonperturbative quantum gravity,defined through state sums of causal triangulated geometries. While four dimensional on large scales, thequantum universe appears two dimensional at short distances. We conclude that quantum gravity may be‘‘self-renormalizing’’ at the Planck scale, by virtue of a mechanism of dynamical dimensional reduction.

DOI: 10.1103/PhysRevLett.95.171301 PACS numbers: 04.60.Gw, 04.60.Nc, 98.80.Qc

Quantum gravity as an ultraviolet regulator?—A sharedhope of researchers in otherwise disparate approaches toquantum gravity is that the microstructure of space andtime may provide a physical regulator for the ultravioletinfinities encountered in perturbative quantum field theory.

tral dimension, a diffeomorphism-invariant quantity ob-tained from studying diffusion on the quantum ensembleof geometries. On large scales and within measuring ac-curacy, it is equal to four, in agreement with earlier mea-surements of the large-scale dimensionality based on the

PRL 95, 171301 (2005) P H Y S I C A L R E V I E W L E T T E R S week ending21 OCTOBER 2005

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2d logPd log

ab

c(10)

agrees best with the data. In Fig. 1, the curve

DS 4:02119

54 (11)

has been superimposed on the data, where the three con-stants were determined from the entire data range 240; 400. Although both b and c individually are slightlyaltered when one varies the range of , their ratio b=c aswell as the constant a remain fairly stable. Integratingrelation (10), we have

P 1

a=21 c=b=2c; (12)

implying a behavior

P a=2 for large ;ab=c=2 for small :

(13)

Our interpretation of Eqs. (12) and (13) is that the quantumgeometry generated by CDT does not have a self-similarstructure at all distances, but instead has a scale-dependentspectral dimension which increases continuously from ab=c to a with increasing distance.

Taking into account the variation of a in Eq. (10) whenusing various cuts min; max for the range of , as wellas different weightings of the errors, we obtain the asymp-totic value

DS 1 4:02 0:1; (14)

which means that the spectral dimension extracted fromthe large- behavior (which probes the long-distancestructure of spacetime) is compatible with four. On theother hand, the ‘‘short-distance spectral dimension,’’ ob-tained by extrapolating Eq. (12) to ! 0 is given by

DS 0 1:80 0:25; (15)

and thus is compatible with the integer value two.Discussion.—The continuous change of spectral dimen-

sion described in this Letter constitutes to our knowledgethe first dynamical derivation of a scale-dependent dimen-sion in full quantum gravity. (In the so-called exact renor-malization group approach to Euclidean quantum gravity, asimilar reduction has been observed recently in anEinstein-Hilbert truncation [12].) It is natural to conjectureit will provide an effective short-distance cutoff by whichthe nonperturbative formulation of quantum gravity em-ployed here, causal dynamical triangulations, evades theultraviolet infinities of perturbative quantum gravity.Contrary to current folklore (see [13] for a review), thisis done without appealing to short-scale discreteness orabandoning geometric concepts altogether.

Translating our lattice results to a continuum notationrequires a ‘‘dimensional transmutation’’ to dimensionfulquantities, in accordance with the renormalization of the

lattice theory. Because of the perturbative nonrenormaliz-ability of gravity, this is expected to be quite subtle. CDTprovides a concrete framework for addressing this issueand we will return to it elsewhere. However, since from(1) can be assigned the length dimension two, and since weexpect the short-distance behavior of the theory to begoverned by the continuum gravitational coupling GN , itis tempting to write the continuum version of (10) as

PV 1

2

1

1 const:GN=; (16)

where const. is a constant of order one. Using the samenaıve dimensional transmutation, one finds that our ‘‘uni-verse’’ of 181.000 discrete building blocks has a spacetimevolume of the order of 20lPl

4 in terms of the Plancklength lPl, and that the diffusion with 400 steps cor-responds to a linear diffusion depth of 20lPl, and is there-fore of the same magnitude. The relation (16) describesa universe whose spectral dimension is four on scaleslarge compared to the Planck scale. Below this scale,the quantum-gravitational excitations of geometry leadto a nonperturbative dynamical dimensional reductionto two, a dimensionality where gravity is known to berenormalizable.

*Electronic address: [email protected] address: [email protected]

†Electronic address: [email protected]‡Electronic address: [email protected]

[1] J. Ambjørn, J. Jurkiewicz, and R. Loll, Phys. Rev. Lett. 93,131301 (2004).

[2] J. Ambjørn, J. Jurkiewicz, and R. Loll, Phys. Lett. B 607,205 (2005).

[3] J. Ambjørn, J. Jurkiewicz, and R. Loll, Phys. Rev. D 72,064014 (2005).

[4] J. Ambjørn, D. Boulatov, J. L. Nielsen, J. Rolf, andY. Watabiki, J. High Energy Phys. 02 (1998) 010.

[5] J. Ambjørn, J. Jurkiewicz, and Y. Watabiki, Nucl. Phys.B454, 313 (1995).

[6] J. Ambjørn, K. N. Anagnostopoulos, T. Ichihara, L. Jen-sen, and Y. Watabiki, J. High Energy Phys. 11 (1998) 022.

[7] J. Ambjørn and K. N. Anagnostopoulos, Nucl. Phys. B497,445 (1997).

[8] D. ben-Avraham and S. Havlin, Diffusion and Reactions inFractals and Disordered Systems (Cambridge UniversityPress, Cambridge, England, 2000).

[9] T. Jonsson and J. F. Wheater, Nucl. Phys. B515, 549(1998).

[10] J. Ambjørn, J. Jurkiewicz, and R. Loll, Phys. Rev. Lett. 85,924 (2000).

[11] J. Ambjørn, J. Jurkiewicz, and R. Loll, Nucl. Phys. B610,347 (2001).

[12] O. Lauscher and M. Reuter, Phys. Rev. D 65, 025013(2002).

[13] L. J. Garay, Int. J. Mod. Phys. A 10, 145 (1995).

PRL 95, 171301 (2005) P H Y S I C A L R E V I E W L E T T E R S week ending21 OCTOBER 2005

171301-4

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JHEP12(2011)012

Published for SISSA by Springer

Received: October 26, 2011

Accepted: November 18, 2011

Published: December 2, 2011

Fractal space-times under the microscope:

a renormalization group view on Monte Carlo data

Martin Reuter and Frank Saueressig

Institute of Physics, University of Mainz,

Staudingerweg 7, D-55099 Mainz, Germany

E-mail: [email protected],

[email protected]

Abstract: The emergence of fractal features in the microscopic structure of space-time

is a common theme in many approaches to quantum gravity. In this work we carry out a

detailed renormalization group study of the spectral dimension ds and walk dimension dwassociated with the effective space-times of asymptotically safe Quantum Einstein Grav-

ity (QEG). We discover three scaling regimes where these generalized dimensions are ap-

proximately constant for an extended range of length scales: a classical regime where

ds = d, dw = 2, a semi-classical regime where ds = 2d/(2+d), dw = 2+d, and the UV-fixed

point regime where ds = d/2, dw = 4. On the length scales covered by three-dimensional

Monte Carlo simulations, the resulting spectral dimension is shown to be in very good

agreement with the data. This comparison also provides a natural explanation for the ap-

parent puzzle between the short distance behavior of the spectral dimension reported from

Causal Dynamical Triangulations (CDT), Euclidean Dynamical Triangulations (EDT), and

Asymptotic Safety.

Keywords: Models of Quantum Gravity, Renormalization Group, Lattice Models of Grav-

ity, Nonperturbative Effects

ArXiv ePrint: 1110.5224

c© SISSA 2011 doi:10.1007/JHEP12(2011)012

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arX

iv:1

11

0.5

22

4v

1

[hep

-th

] 2

4 O

ct 2

01

1MZ-TH/11-35

Fractal space-times under the microscope:

A Renormalization Group view on Monte Carlo data

Martin Reuter and Frank Saueressig

Institute of Physics, University of Mainz

Staudingerweg 7, D-55099 Mainz, Germany

[email protected]

[email protected]

Abstract

The emergence of fractal features in the microscopic structure of space-time is a common theme in

many approaches to quantum gravity. In this work we carry out a detailed renormalization group

study of the spectral dimension ds and walk dimension dw associated with the effective space-times

of asymptotically safe Quantum Einstein Gravity (QEG). We discover three scaling regimes where

these generalized dimensions are approximately constant for an extended range of length scales:

a classical regime where ds = d, dw = 2, a semi-classical regime where ds = 2d/(2 + d), dw =

2 + d, and the UV-fixed point regime where ds = d/2, dw = 4. On the length scales covered

by three-dimensional Monte Carlo simulations, the resulting spectral dimension is shown to be

in very good agreement with the data. This comparison also provides a natural explanation

for the apparent puzzle between the short distance behavior of the spectral dimension reported

from Causal Dynamical Triangulations (CDT), Euclidean Dynamical Triangulations (EDT), and

Asymptotic Safety.

arX

iv:1

110.5

224v1 [h

ep-t

h]

24 O

ct 2

011

MZ-TH/11-35

Fractal space-times under the microscope:

A Renormalization Group view on Monte Carlo data

Martin Reuter and Frank Saueressig

Institute of Physics, University of Mainz

Staudingerweg 7, D-55099 Mainz, Germany

[email protected]

[email protected]

Abstract

The emergence of fractal features in the microscopic structure of space-time is a common theme in

many approaches to quantum gravity. In this work we carry out a detailed renormalization group

study of the spectral dimension ds and walk dimension dw associated with the effective space-times

of asymptotically safe Quantum Einstein Gravity (QEG). We discover three scaling regimes where

these generalized dimensions are approximately constant for an extended range of length scales:

a classical regime where ds = d, dw = 2, a semi-classical regime where ds = 2d/(2 + d), dw =

2 + d, and the UV-fixed point regime where ds = d/2, dw = 4. On the length scales covered

by three-dimensional Monte Carlo simulations, the resulting spectral dimension is shown to be

in very good agreement with the data. This comparison also provides a natural explanation

for the apparent puzzle between the short distance behavior of the spectral dimension reported

from Causal Dynamical Triangulations (CDT), Euclidean Dynamical Triangulations (EDT), and

Asymptotic Safety.

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Part 1: Spectral analysis on fractals

A part of an infinite Sierpinski gasket.

Sasha Teplyaev (UConn) Spectral analysis and diffusions on non-smooth spaces UMD Kirwan Hall 3 / 20

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Weak Uncertainty Principle ( Kasso Okoudjou, LaurentSaloff-Coste, T., 2008)The R1 Heisenberg Uncertainty Principle is equivalent, if ‖f ‖L2 = 1, to

(∫

R

R|x − y |2|f (x)|2 |f (y)|2 dx dy

)·(∫

R|f ′(x)|2 dx

)>

1

8

On a metric measure space (K , d , µ) with an energy form E

a weak uncertainty principle

Varγ(u) E(u, u) > C (1)

holds for u ∈ L2(K)⋂

Dom(E)

Varγ(u) =

∫∫

K×Kd(x, y)γ |u(x)|2 |u(y)|2 dµ(x) dµ(y). (2)

provided either that d is the effective resistance metric, or some of the suitablePoincare inequalities are satisfied.

Sasha Teplyaev (UConn) Spectral analysis and diffusions on non-smooth spaces UMD Kirwan Hall 4 / 20

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Laplacians on fractals with spectral gaps gaps have nicerFourier series (Robert Strichartz, 2005)

If the Laplacian has an infinite sequence of exponentially large spectral gaps andthe heat kernel satisfies sub-Gaussian estimates, then the partial sums of Fourierseries (spectral expansions of the Laplacian) converge uniformly along certainspecial subsequences.

U.Andrews, J.P.Chen, G.Bonik, R.W.Martin, T.,Wave equation on one-dimensional fractals with spectral decimation.J. Fourier Anal. Appl. 23 (2017)http://teplyaev.math.uconn.edu/fractalwave/

Sasha Teplyaev (UConn) Spectral analysis and diffusions on non-smooth spaces UMD Kirwan Hall 5 / 20

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0

3

5

6

-

6

Figure: An illustration to the computation of the spectrum on the infinite

Sierpinski gasket. The curved lines show the graph of the function R(·).

Theorem (Bellissard 1988, T. 1998, Quint 2009)

On the infinite Sierpinski gasket the spectrum of the Laplacian consists of a denseset of eigenvalues R−1(Σ0) of infinite multiplicity and a singularlycontinuous component of spectral multiplicity one supported on R−1(JR).

Sasha Teplyaev (UConn) Spectral analysis and diffusions on non-smooth spaces UMD Kirwan Hall 6 / 20

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Half-line examplet -t t t t t t t t t- - - - - - - - - - 1 q p p q q p q p p q p q q p p q q p

Figure: Transition probabilities in the pq random walk. Here p ∈ (0, 1) and

q = 1− p.

(∆pf )(x) =

f (0)− f (1), if x = 0

f (x)− qf (x − 1)− pf (x + 1), if 3−m(x)x ≡ 1 (mod 3)

f (x)− pf (x − 1)− qf (x + 1), if 3−m(x)x ≡ 2 (mod 3)

Theorem (J.P.Chen, T., 2016)

If p 6= 12

, the Laplacian ∆p on `2(Z+) has purely singularly continuousspectrum.

The spectrum is the Julia set of the polynomial R(z) = z(z2−3z+(2+pq))pq , which is

a topological Cantor set of Lebesgue measure zero.

Sasha Teplyaev (UConn) Spectral analysis and diffusions on non-smooth spaces UMD Kirwan Hall 7 / 20

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Bohr asymptotics

For 1D Schodinger operator

Hψ = −ψ′′ + V (x)ψ, x ≥ 0 (3)

if V (x)→ +∞ as x → +∞ then (H. Weyl), the spectrum of H inL2([0,∞), dx) is discrete and, under some technical conditions,

N(λ,V ) := #λi (H) ≤ λ ∼1

π

∫ ∞

0

√(λ− V (x))+ dx. (4)

This is known as the Bohr’s formula. It can be generalized for Rn.

Sasha Teplyaev (UConn) Spectral analysis and diffusions on non-smooth spaces UMD Kirwan Hall 8 / 20

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Theorem (Fractal Bohr’s formula (Joe Chen, Stanislav Molchanov, T.,J. Phys. A: Math. Theor. (2015)))

On infinite Sierpinski-type fractafolds, under mild assumptions,

limλ→∞

N(V , λ)

g(V , λ)= 1, (5)

where

g(V , λ) :=

K∞

[(λ− V (x))+

]ds/2 G(

1

2log(λ− V (x))+

)µ∞(dx), (6)

where G is the Kigami-Lapidus periodic function, obtained via a renewal theorem.

Sasha Teplyaev (UConn) Spectral analysis and diffusions on non-smooth spaces UMD Kirwan Hall 9 / 20

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Part 2: Spectral Analysis of the Basilica Graphs (with ToniBrzoska, Luke Rogers et al.)

The question of existence of groups with intermediate growth, i.e.subexponential but not polynomial, was asked by Milnor in 1968 andanswered in the positive by Grigorchuk in 1984. There are still open questions inthis area, and a complete picture of which orders of growth are possible, andwhich are not, is missing.

The Basilica group is a group generated by a finite automation acting on thebinary tree in a self-similar fashion, introduced by R. Grigorchuk and A. Zuk in2002, does not belong to the closure of the set of groups of subexponentialgrowth under the operations of group extension and direct limit.

In 2005 L. Bartholdi and B. Virag further showed it to be amenable,making the Basilica group the 1st example of an amenable but notsubexponentially amenable group (also “Munchhausen trick” andamenability of self-similar groups by V.A. Kaimanovich).

Sasha Teplyaev (UConn) Spectral analysis and diffusions on non-smooth spaces UMD Kirwan Hall 10 / 20

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Part 2: Spectral Analysis of the Basilica Graphs (with ToniBrzoska, Luke Rogers et al.)

The question of existence of groups with intermediate growth, i.e.subexponential but not polynomial, was asked by Milnor in 1968 andanswered in the positive by Grigorchuk in 1984. There are still open questions inthis area, and a complete picture of which orders of growth are possible, andwhich are not, is missing.

The Basilica group is a group generated by a finite automation acting on thebinary tree in a self-similar fashion, introduced by R. Grigorchuk and A. Zuk in2002, does not belong to the closure of the set of groups of subexponentialgrowth under the operations of group extension and direct limit.

In 2005 L. Bartholdi and B. Virag further showed it to be amenable,making the Basilica group the 1st example of an amenable but notsubexponentially amenable group (also “Munchhausen trick” andamenability of self-similar groups by V.A. Kaimanovich).

Sasha Teplyaev (UConn) Spectral analysis and diffusions on non-smooth spaces UMD Kirwan Hall 10 / 20

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Part 2: Spectral Analysis of the Basilica Graphs (with ToniBrzoska, Luke Rogers et al.)

The question of existence of groups with intermediate growth, i.e.subexponential but not polynomial, was asked by Milnor in 1968 andanswered in the positive by Grigorchuk in 1984. There are still open questions inthis area, and a complete picture of which orders of growth are possible, andwhich are not, is missing.

The Basilica group is a group generated by a finite automation acting on thebinary tree in a self-similar fashion, introduced by R. Grigorchuk and A. Zuk in2002, does not belong to the closure of the set of groups of subexponentialgrowth under the operations of group extension and direct limit.

In 2005 L. Bartholdi and B. Virag further showed it to be amenable,making the Basilica group the 1st example of an amenable but notsubexponentially amenable group (also “Munchhausen trick” andamenability of self-similar groups by V.A. Kaimanovich).

Sasha Teplyaev (UConn) Spectral analysis and diffusions on non-smooth spaces UMD Kirwan Hall 10 / 20

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The Basilica fractal is the Julia set of the polynomial z2 − 1. In 2005, V.Nekrashevych described the group as the iterated monodromy group, andthere exists a natural way to associate it to the Basilica fractal(Nekrashevych+T., 2008).

In Schreier graphs of the Basilica group (2010), Nagnibeda et al. classifiedup to isomorphism all possible limits of finite Schreier graphs of the Basilica group.

In Laplacians on the Basilica Julia set (2010), L. Rogers+T. constructedDirichlet forms and the corresponding Laplacians on the Basilica fractal in twodifferent ways: by imposing a self-similar harmonic structure and a graph-directedself-simliar structure on the fractal.

In Laplacians on a Family of Quadratic Julia Sets I (2012), T. Flock and R.Strichartz provided numerical techniques to approximate eigenvalues andeigenfunctions on families of Laplacians on the Julia sets of z2 + c .

Sasha Teplyaev (UConn) Spectral analysis and diffusions on non-smooth spaces UMD Kirwan Hall 11 / 20

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The Basilica fractal is the Julia set of the polynomial z2 − 1. In 2005, V.Nekrashevych described the group as the iterated monodromy group, andthere exists a natural way to associate it to the Basilica fractal(Nekrashevych+T., 2008).

In Schreier graphs of the Basilica group (2010), Nagnibeda et al. classifiedup to isomorphism all possible limits of finite Schreier graphs of the Basilica group.

In Laplacians on the Basilica Julia set (2010), L. Rogers+T. constructedDirichlet forms and the corresponding Laplacians on the Basilica fractal in twodifferent ways: by imposing a self-similar harmonic structure and a graph-directedself-simliar structure on the fractal.

In Laplacians on a Family of Quadratic Julia Sets I (2012), T. Flock and R.Strichartz provided numerical techniques to approximate eigenvalues andeigenfunctions on families of Laplacians on the Julia sets of z2 + c .

Sasha Teplyaev (UConn) Spectral analysis and diffusions on non-smooth spaces UMD Kirwan Hall 11 / 20

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The Basilica fractal is the Julia set of the polynomial z2 − 1. In 2005, V.Nekrashevych described the group as the iterated monodromy group, andthere exists a natural way to associate it to the Basilica fractal(Nekrashevych+T., 2008).

In Schreier graphs of the Basilica group (2010), Nagnibeda et al. classifiedup to isomorphism all possible limits of finite Schreier graphs of the Basilica group.

In Laplacians on the Basilica Julia set (2010), L. Rogers+T. constructedDirichlet forms and the corresponding Laplacians on the Basilica fractal in twodifferent ways: by imposing a self-similar harmonic structure and a graph-directedself-simliar structure on the fractal.

In Laplacians on a Family of Quadratic Julia Sets I (2012), T. Flock and R.Strichartz provided numerical techniques to approximate eigenvalues andeigenfunctions on families of Laplacians on the Julia sets of z2 + c .

Sasha Teplyaev (UConn) Spectral analysis and diffusions on non-smooth spaces UMD Kirwan Hall 11 / 20

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The Basilica fractal is the Julia set of the polynomial z2 − 1. In 2005, V.Nekrashevych described the group as the iterated monodromy group, andthere exists a natural way to associate it to the Basilica fractal(Nekrashevych+T., 2008).

In Schreier graphs of the Basilica group (2010), Nagnibeda et al. classifiedup to isomorphism all possible limits of finite Schreier graphs of the Basilica group.

In Laplacians on the Basilica Julia set (2010), L. Rogers+T. constructedDirichlet forms and the corresponding Laplacians on the Basilica fractal in twodifferent ways: by imposing a self-similar harmonic structure and a graph-directedself-simliar structure on the fractal.

In Laplacians on a Family of Quadratic Julia Sets I (2012), T. Flock and R.Strichartz provided numerical techniques to approximate eigenvalues andeigenfunctions on families of Laplacians on the Julia sets of z2 + c .

Sasha Teplyaev (UConn) Spectral analysis and diffusions on non-smooth spaces UMD Kirwan Hall 11 / 20

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Spectral Analysis of the Basilica Graphs

Basilica Julia Set and the Schreier graph Γ4

pictures taken from paper by Nagnibeda et. al.

Antoni Brzoska Spectral Properties of the Hata Tree March 28, 2017 39 / 71

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Spectral Analysis of the Basilica Graphs

Replacement Rule and the Graphs Gn

Antoni Brzoska Spectral Properties of the Hata Tree March 28, 2017 41 / 71

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Spectral Analysis of the Basilica Graphs

Distribution of Eigenvalues, Level 13

Antoni Brzoska Spectral Properties of the Hata Tree March 28, 2017 44 / 71

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Spectral Analysis of the Basilica Graphs

One can define a Dirichlet to Neumann map for the two boundary pointsof the graphs Gn. One can construct a dynamical system to determinethese maps (which are two by two matrices). The dynamical system allowsus to prove the following.

Theorem

In the Hausdorff metric, lim supn→∞

σ(L(n)) has a gap that contains the

interval (2.5, 2.8).

Conjecture

In the Hausdorff metric, lim supn→∞

σ(L(n)) has infinitely many gaps.

Proving the conjecture would be interesting. One would be able to applythe results discovered by R. Strichartz in Laplacians on Fractals withSpectral Gaps have nicer Fourier Series (2005).

Antoni Brzoska Spectral Properties of the Hata Tree March 28, 2017 45 / 71

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Spectral Analysis of the Basilica Graphs

Infinite Blow-ups of Gn

Definition

Let knn∈N be a strictly increasing subsequence of the natural numbers.For each n, embed Gkn in some isomorphic subgraph of Gkn+1 . Thecorresponding infinite blow-up is G∞ := ∪n≥0Gkn .

Assumption

The infinite blow-up G∞ satisfies:

For n ≥ 1, the long path of Gkn−1 is embedded in a loop γn of Gkn .

Apart from lkn−1 and rkn−1 , no vertex of the long path can be the3, 6, 9 or 12 o’clock vertex of γn.

The only vertices of Gkn that connect to vertices outside the graphare the boundary vertices of Gkn .

Antoni Brzoska Spectral Properties of the Hata Tree March 28, 2017 46 / 71

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Spectral Analysis of the Basilica Graphs

Antoni Brzoska Spectral Properties of the Hata Tree March 28, 2017 47 / 71

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Spectral Analysis of the Basilica Graphs

Theorem

(1) σ(L(kn)|`2a,kn,γn

) = σ(L(jn)0 ).

(2) The spectrum of L(∞) is pure point. The set of eigenvalues of L(∞) is

n≥0

σ(L(jn)0 ) =

n≥0

c−1jn0,

where the polynomials cn are the characteristic polynomials of L(n)0 , as

defined in the previous proposition.(3) Moreover, the set of eigenfunctions of L(∞) with finite support iscomplete in `2.

Antoni Brzoska Spectral Properties of the Hata Tree March 28, 2017 48 / 71

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Part 3: Canonical diffusions on the pattern spaces ofaperiodic Delone sets (Patricia Alonso-Ruiz, Michael Hinz,T., Rodrigo Trevino)A subset Λ ⊂ Rd is a Delone set if it is uniformly discrete:

∃ε > 0 : ∀~x, ~y ∈ Λ |~x − ~y | > ε

and relatively dense:

∃R > 0 : Λ ∩ BR(~x) 6= ∅∀~x ∈ Rd .

A Delone set has finite local complexity if ∀R > 0∃ finitely many clustersP1, . . . ,PnR

such that for any ~x ∈ Rd there is an i such that the set BR(~x) ∩ Λis translation-equivalent to Pi .

A Delone set Λ is aperiodic if Λ− ~t = Λ implies ~t = ~0. It is repetitive if forany cluster P ⊂ Λ there exists RP > 0 such that for any ~x ∈ Rd the clusterBRP (~x) ∩ Λ contains a cluster which is translation-equivalent to P.

These sets have applications in crystallography (≈ 1920), coding theory,approximation algorithms, and the theory of quasicrystals.

Sasha Teplyaev (UConn) Spectral analysis and diffusions on non-smooth spaces UMD Kirwan Hall 12 / 20

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Part 3: Canonical diffusions on the pattern spaces ofaperiodic Delone sets (Patricia Alonso-Ruiz, Michael Hinz,T., Rodrigo Trevino)A subset Λ ⊂ Rd is a Delone set if it is uniformly discrete:

∃ε > 0 : ∀~x, ~y ∈ Λ |~x − ~y | > ε

and relatively dense:

∃R > 0 : Λ ∩ BR(~x) 6= ∅∀~x ∈ Rd .

A Delone set has finite local complexity if ∀R > 0∃ finitely many clustersP1, . . . ,PnR

such that for any ~x ∈ Rd there is an i such that the set BR(~x) ∩ Λis translation-equivalent to Pi .

A Delone set Λ is aperiodic if Λ− ~t = Λ implies ~t = ~0. It is repetitive if forany cluster P ⊂ Λ there exists RP > 0 such that for any ~x ∈ Rd the clusterBRP (~x) ∩ Λ contains a cluster which is translation-equivalent to P.

These sets have applications in crystallography (≈ 1920), coding theory,approximation algorithms, and the theory of quasicrystals.

Sasha Teplyaev (UConn) Spectral analysis and diffusions on non-smooth spaces UMD Kirwan Hall 12 / 20

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Part 3: Canonical diffusions on the pattern spaces ofaperiodic Delone sets (Patricia Alonso-Ruiz, Michael Hinz,T., Rodrigo Trevino)A subset Λ ⊂ Rd is a Delone set if it is uniformly discrete:

∃ε > 0 : ∀~x, ~y ∈ Λ |~x − ~y | > ε

and relatively dense:

∃R > 0 : Λ ∩ BR(~x) 6= ∅∀~x ∈ Rd .

A Delone set has finite local complexity if ∀R > 0∃ finitely many clustersP1, . . . ,PnR

such that for any ~x ∈ Rd there is an i such that the set BR(~x) ∩ Λis translation-equivalent to Pi .

A Delone set Λ is aperiodic if Λ− ~t = Λ implies ~t = ~0. It is repetitive if forany cluster P ⊂ Λ there exists RP > 0 such that for any ~x ∈ Rd the clusterBRP (~x) ∩ Λ contains a cluster which is translation-equivalent to P.

These sets have applications in crystallography (≈ 1920), coding theory,approximation algorithms, and the theory of quasicrystals.

Sasha Teplyaev (UConn) Spectral analysis and diffusions on non-smooth spaces UMD Kirwan Hall 12 / 20

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Part 3: Canonical diffusions on the pattern spaces ofaperiodic Delone sets (Patricia Alonso-Ruiz, Michael Hinz,T., Rodrigo Trevino)A subset Λ ⊂ Rd is a Delone set if it is uniformly discrete:

∃ε > 0 : ∀~x, ~y ∈ Λ |~x − ~y | > ε

and relatively dense:

∃R > 0 : Λ ∩ BR(~x) 6= ∅∀~x ∈ Rd .

A Delone set has finite local complexity if ∀R > 0∃ finitely many clustersP1, . . . ,PnR

such that for any ~x ∈ Rd there is an i such that the set BR(~x) ∩ Λis translation-equivalent to Pi .

A Delone set Λ is aperiodic if Λ− ~t = Λ implies ~t = ~0. It is repetitive if forany cluster P ⊂ Λ there exists RP > 0 such that for any ~x ∈ Rd the clusterBRP (~x) ∩ Λ contains a cluster which is translation-equivalent to P.

These sets have applications in crystallography (≈ 1920), coding theory,approximation algorithms, and the theory of quasicrystals.

Sasha Teplyaev (UConn) Spectral analysis and diffusions on non-smooth spaces UMD Kirwan Hall 12 / 20

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Electron diffraction picture of a Zn-Mg-Ho quasicrystal

Sasha Teplyaev (UConn) Spectral analysis and diffusions on non-smooth spaces UMD Kirwan Hall 13 / 20

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Penrose tiling

Sasha Teplyaev (UConn) Spectral analysis and diffusions on non-smooth spaces UMD Kirwan Hall 14 / 20

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pattern space of a Delone set

Let Λ0 ⊂ Rd be a Delone set. The pattern space (hull) of Λ0 is the closure ofthe set of translates of Λ0 with respect to the metric %, i.e.

ΩΛ0 =ϕ~t (Λ0) : ~t ∈ Rd

.

Definition

Let Λ0 ⊂ Rd be a Delone set and denote by ϕ~t (Λ0) = Λ0 − ~t its translation bythe vector ~t ∈ Rd . For any two translates Λ1 and Λ2 of Λ0 define %(Λ1,Λ2) =

infε > 0 : ∃ ~s, ~t ∈ Bε(~0) : B 1ε

(~0) ∩ ϕ~s(Λ1) = B 1ε

(~0) ∩ ϕ~t(Λ2) ∧ 2−1/2

Assumption

The action of Rd on Ω is uniquely ergodic:Ω is a compact metric space with the unique Rd -invariant probability measure µ.

Sasha Teplyaev (UConn) Spectral analysis and diffusions on non-smooth spaces UMD Kirwan Hall 15 / 20

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Theorem

(i) If ~W = ( ~Wt)t≥0 is the standard Gaussian Brownian motion on Rd , then for

any Λ ∈ Ω the process XΛt := ϕ ~Wt

(Λ) = Λ− ~Wt is a conservative Fellerdiffusion on (Ω, %).

(ii) The semigroup Ptf (Λ) = E[f (XΛt )] is

self-adjoint on L2µ, Feller but not strong Feller.

Its associated Dirichlet form is regular, strongly local, irreducible, recurrent,and has Kusuoka-Hino dimension d .

(iii) The semigroup (Pt)t>0 does not admit heat kernels withrespect to µ. It does have Gaussian heat kernel with respect to thenot-σ-finite (no Radon-Nykodim theorem) pushforward measure λd

Ω

pΩ(t,Λ1,Λ2) =

pRd (t, h−1Λ1

(Λ2)) if Λ2 ∈ orb(Λ1),

0 otherwise.(7)

(iv) There are no semi-bounded or L1 harmonic functions(”Liouville-type”).Sasha Teplyaev (UConn) Spectral analysis and diffusions on non-smooth spaces UMD Kirwan Hall 16 / 20

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no classical inequalities

Useful versions of the Poincare, Nash, Sobolev, Harnackinequalities DO NOT HOLD, except in orbit-wise sense.

Sasha Teplyaev (UConn) Spectral analysis and diffusions on non-smooth spaces UMD Kirwan Hall 17 / 20

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spectral properties

Theorem

The unitary Koopman operators U~t on L2(Ω, µ) defined by U~t f = f ϕ~tcommute with the heat semigroup

U~tPt = PtU~t

hence commute with the Laplacian ∆, and all spectral operators, such as theunitary Schrodinger semigroup.

... hence we may have continuous spectrum (no eigenvalues) under someassumptions even though µ is a probability measure on the compact set Ω.

Michael Baake and Daniel Lenz, Spectral notions of aperiodic order, DiscreteContin. Dyn. Syst. Ser. S 10 (2017). Michael Baake, Daniel Lenz, and Aernoutvan Enter, Dynamical versus diffraction spectrum for structures with finite localcomplexity, Ergodic Theory Dynam. Systems 35 (2015). Johannes Kellendonk,Daniel Lenz, and Jean Savinien, Mathematics of aperiodic order, vol. 309,Springer, 2015.

Sasha Teplyaev (UConn) Spectral analysis and diffusions on non-smooth spaces UMD Kirwan Hall 18 / 20

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spectral properties

Theorem

The unitary Koopman operators U~t on L2(Ω, µ) defined by U~t f = f ϕ~tcommute with the heat semigroup

U~tPt = PtU~t

hence commute with the Laplacian ∆, and all spectral operators, such as theunitary Schrodinger semigroup.

... hence we may have continuous spectrum (no eigenvalues) under someassumptions even though µ is a probability measure on the compact set Ω.

Michael Baake and Daniel Lenz, Spectral notions of aperiodic order, DiscreteContin. Dyn. Syst. Ser. S 10 (2017). Michael Baake, Daniel Lenz, and Aernoutvan Enter, Dynamical versus diffraction spectrum for structures with finite localcomplexity, Ergodic Theory Dynam. Systems 35 (2015). Johannes Kellendonk,Daniel Lenz, and Jean Savinien, Mathematics of aperiodic order, vol. 309,Springer, 2015.

Sasha Teplyaev (UConn) Spectral analysis and diffusions on non-smooth spaces UMD Kirwan Hall 18 / 20

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spectral properties

Theorem

The unitary Koopman operators U~t on L2(Ω, µ) defined by U~t f = f ϕ~tcommute with the heat semigroup

U~tPt = PtU~t

hence commute with the Laplacian ∆, and all spectral operators, such as theunitary Schrodinger semigroup.

... hence we may have continuous spectrum (no eigenvalues) under someassumptions even though µ is a probability measure on the compact set Ω.

Michael Baake and Daniel Lenz, Spectral notions of aperiodic order, DiscreteContin. Dyn. Syst. Ser. S 10 (2017). Michael Baake, Daniel Lenz, and Aernoutvan Enter, Dynamical versus diffraction spectrum for structures with finite localcomplexity, Ergodic Theory Dynam. Systems 35 (2015). Johannes Kellendonk,Daniel Lenz, and Jean Savinien, Mathematics of aperiodic order, vol. 309,Springer, 2015.

Sasha Teplyaev (UConn) Spectral analysis and diffusions on non-smooth spaces UMD Kirwan Hall 18 / 20

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Helmholtz, Hodge and de Rham

Theorem

Assume d = 1. Then the space L2(Ω, µ,R1) admits the orthogonaldecomposition

L2(Ω, µ,R1) = Im∇⊕ R(dx). (8)

In other words, the L2-cohomology is 1-dimensional, which is surprising becausethe de Rham cohomology is not one dimensional.

M. Hinz, M. Rockner, T., Vector analysis for Dirichlet forms and quasilinear PDEand SPDE on fractals, Stoch. Proc. Appl. (2013). M. Hinz, T., Local Dirichletforms, Hodge theory, and the Navier-Stokes equation on topologicallyone-dimensional fractals, Trans. Amer. Math. Soc. (2015,2017).

Lorenzo Sadun. Topology of tiling spaces, volume 46 of University Lecture Series.American Mathematical Society, Providence, RI, 2008. Johannes Kellendonk,Daniel Lenz, and Jean Savinien. Mathematics of aperiodic order, volume 309.Springer, 2015.

Sasha Teplyaev (UConn) Spectral analysis and diffusions on non-smooth spaces UMD Kirwan Hall 19 / 20

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Helmholtz, Hodge and de Rham

Theorem

Assume d = 1. Then the space L2(Ω, µ,R1) admits the orthogonaldecomposition

L2(Ω, µ,R1) = Im∇⊕ R(dx). (8)

In other words, the L2-cohomology is 1-dimensional, which is surprising becausethe de Rham cohomology is not one dimensional.

M. Hinz, M. Rockner, T., Vector analysis for Dirichlet forms and quasilinear PDEand SPDE on fractals, Stoch. Proc. Appl. (2013). M. Hinz, T., Local Dirichletforms, Hodge theory, and the Navier-Stokes equation on topologicallyone-dimensional fractals, Trans. Amer. Math. Soc. (2015,2017).

Lorenzo Sadun. Topology of tiling spaces, volume 46 of University Lecture Series.American Mathematical Society, Providence, RI, 2008. Johannes Kellendonk,Daniel Lenz, and Jean Savinien. Mathematics of aperiodic order, volume 309.Springer, 2015.

Sasha Teplyaev (UConn) Spectral analysis and diffusions on non-smooth spaces UMD Kirwan Hall 19 / 20

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Helmholtz, Hodge and de Rham

Theorem

Assume d = 1. Then the space L2(Ω, µ,R1) admits the orthogonaldecomposition

L2(Ω, µ,R1) = Im∇⊕ R(dx). (8)

In other words, the L2-cohomology is 1-dimensional, which is surprising becausethe de Rham cohomology is not one dimensional.

M. Hinz, M. Rockner, T., Vector analysis for Dirichlet forms and quasilinear PDEand SPDE on fractals, Stoch. Proc. Appl. (2013). M. Hinz, T., Local Dirichletforms, Hodge theory, and the Navier-Stokes equation on topologicallyone-dimensional fractals, Trans. Amer. Math. Soc. (2015,2017).

Lorenzo Sadun. Topology of tiling spaces, volume 46 of University Lecture Series.American Mathematical Society, Providence, RI, 2008. Johannes Kellendonk,Daniel Lenz, and Jean Savinien. Mathematics of aperiodic order, volume 309.Springer, 2015.

Sasha Teplyaev (UConn) Spectral analysis and diffusions on non-smooth spaces UMD Kirwan Hall 19 / 20

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end of the talk :-)

Thank you!

Sasha Teplyaev (UConn) Spectral analysis and diffusions on non-smooth spaces UMD Kirwan Hall 20 / 20