Partial difference equations over compact Abelian groups

Size: px
Start display at page:

Download "Partial difference equations over compact Abelian groups"

Transcription

1 Partial difference equations over compact Abelian groups Tim Austin Courant Institute, NYU New York, NY, USA

2 SETTING Z a compact (metrizable) Abelian group U 1,..., U k closed subgroups of Z F(Z) {measurable functions Z T = R/Z} Z (up to equality a.e.) dz integral w.r.t. Haar probability measure If w Z, f F(Z) then d w f(z) := f(z w) f(z) discrete analog of directional derivative. If f : Z C, then w f(z) := f(z w)f(z) multiplicative variant

3 PARTIAL DIFFERENCE EQUATION Describe those f F(Z) for which d u1 d uk f(z) 0 u 1 U 1,..., u k U k. ZERO-SUM PROBLEM Describe those f 1,..., f k F(Z) s.t. and d ui f i (z) 0 u i U i, i = 1, 2,..., k f 1 (z) + f 2 (z) + + f k (z) 0. Will focus on PD ce Es in this talk.

4 MOTIVATION: SZEMERÉDI S THEOREM A k-ap in Z is a set of the form {z, z + r,..., z + (k 1)r} for some z, r Z. It is non-degenerate if all k entries are distinct. Theorem (Szemerédi 75). δ > 0 k 1 N 0 = N 0 (δ, k) 1 such that if N N 0 and E Z N with E = δn, then E some non-degenerate k-ap.

5 MULTI-DIMENSIONAL ANALOG Fix F = {v 1,..., v k } Z d, all v i distinct. If z Z d N and r Z N, let z + r F = {z + rv 1,..., z + rv k } mod N. Call this an F -constellation. It is non-degenerate if z + r F = k. Theorem (Furstenberg and Katznelson). δ > 0 d, k 1 N 0 = N 0 (δ, k, d) 1 such that if N N 0 and E Z d N with E = δn d then E some non-degenerate F -constn. Szemerédi s Theorem is special case F = {0, 1,..., k 1} Z.

6 Many proofs now known, using graph theory (Szemerédi), ergodic theory (Furstenberg), hypergraph theory (Nagle-Rödl-Schacht, Gowers, Tao) or harmonic analysis/additive combinatorics (Roth, Gowers). Roth s and Gowers harmonic-analysis proof gives much the best bound on N 0 (δ, k). Some proofs generalize to higher dimensions. Roth-Gowers approach has not been generalized, and the known dependence of N 0 (δ, k, d) is generally much worse when d 2.

7 SKETCH OF ROTH-GOWERS APPROACH Will formulate this for multi-dimensional theorem as far as possible. Important idea: estimate the fraction of all F -constellations that are contained in E. Let Z = Z d N. Suppose φ 1,..., φ k : Z C, and set Λ(φ 1,..., φ k ) := Z N Z d N φ 1 (z + rv 1 )φ 2 (z + rv 2 ) φ k (z + rv k ) dzdr. Interpretation: if E Z and φ 1 =... = φ k = 1 E, then Λ(1 E,..., 1 E ) = P ( random F -constn. lies in E ).

8 Idea is to show that if E = δn then Λ(1 E,..., 1 E ) const(δ, k) > 0. Since P ( randomly-chosen F -constn. is degenerate ) 0 as N, this proves the theorem.

9 Key tool for estimating Λ: directional Gowers uniformity norms. Can formulate these for any compact U 1,..., U k Z: If φ : Z C, then φ U(U1,...,U k ) := ( U 1 U 2 U k Z u1 uk φ(z) dzdu k du 1 ) 2 k.

10 For example, φ 4 U(U 1,U 2 ) = U 1 U 2 Z φ(z u 1 u 2 )φ(z u 1 )φ(z u 2 )φ(z) dzdu 1 du 2.

11 Theorem (Gowers-Cauchy-Schwartz inequality). Λ(φ 1,..., φ k ) φ 1 U(V12,...,V 1k ) φ 2 φ k, where V ij := Z N (v i v j ) Z d N for 1 i, j k. Proved by repeated use of Cauchy-Schwartz inequality. Corollary. If 1 E δ U(V12,...,V 1k ) 0, 1 E δ U(V21,V 23...,V 2k ) 0,. 1 E δ U(Vk1,...,V k,k 1 ) 0, then Λ(1 E,..., 1 E ) δ k, = many F -constellations in E if N is large.

12 Intuition: in this case, E behaves like a random set, and therefore contains many F -constellations by chance. Idea for full proof: if 1 E δ U(U1,...,U k 1 ) 0 for one of the lists of subgroups above, then deduce some special structure for E, which implies positive probability of F -constellations for a different reason (not by chance ). Proof is finished once have result for both random and structured E.

13 In one-dimension, have: Inverse Theorem for Gowers norms. In that case, V ij = Z N = Z for every i, j. Roughly: If φ 1 and φ U(Z,...,Z) η > 0, then a locally polynomial phase function ψ : Z S 1 s.t. Z φ(z)ψ(z) dz const(η) > 0. Won t define locally polynomial phase functions here.

14 Related toy problem: suppose φ(z) 1 z but Z Z u1 uk 1 φ(z) dzdu 1 du k 1 = 1. This is possible only if φ : Z S 1 and w1 wk 1 φ(z) 1. Exercise: if Z = Z N, N k and N prime, this occurs iff φ = exp(2πif/n) for some polynomial f : Z N Z N of degree k 2. There are more technical wrinkles for other Z, but still get some slightlygeneralized notion of polynomial of degree k 2.

15 In higher dimensions no good inverse theorem known for directional Gowers norms. Simplest toy case: describe those φ for which φ(z) 1 and φ U(U1,...,U k ) = 1. As before, this is equivalent to φ : Z S 1 and u1 uk φ 1 u 1 U 1,..., u k U k. Writing φ = exp(2πif) with f : Z T, this is exactly the partial difference equation we started with.

16 EXAMPLES OF PD ce Es AND SOLUTIONS Let us write our partial difference equation as d U 1 d U kf 0. Example 1 If U 1 =... = U k = Z, then this is the case of polynomial phase functions mentioned before. Example 2 There are always some obvious solutions: can take f = f f k, where d U if i = 0 (equivalently, f i is lifted from Z/U i T).

17 Definition. If f solves d U 1 d U kf 0, then let s say f is degenerate if can decompose it as f = f f k, where d U 2d U 3 d U kf 1 = d U 1d U 3 d U kf 2 =... = d U 1 d U k 1f k = 0. that is, each f i satisfies a simpler (and stronger) equation. One is interested in classifying non-degenerate solutions, modulo degenerate ones.

18 Example 3 On Z = T 3, let f(θ 1, θ 2, θ 3 ) = {θ 1 } + {θ 2 } θ 3. (For θ T, {θ} is its unique representative in [0, 1), and = integer part.) Then f(θ 1, θ 2, θ 3 ) f(θ 1, θ 2, θ 3 + θ 4 ) + f(θ 1, θ 2 + θ 3, θ 4 ) f(θ 1 + θ 2, θ 3, θ 4 ) + f(θ 2, θ 3, θ 4 ) = 0 Think of these as five different functions of (θ 1, θ 2, θ 3, θ 4 ) T 4. By differencing, we can annihilate the last four terms, leaving for suitable U 1,..., U 4 T 4. d U 1d U 2d U 3d U 4f = 0

19 f(θ 1, θ 2, θ 3 ) f(θ 1, θ 2, θ 3 + θ 4 ) + f(θ 1, θ 2 + θ 3, θ 4 ) f(θ 1 + θ 2, θ 3, θ 4 ) + f(θ 2, θ 3, θ 4 ) = 0 Disclosure: this equation is not arbitrary. It is the equation for a 3-cocycle in group cohomology H 3 m(t, T). One can prove that if f were degenerate, then it would be a coboundary: i.e., represent the zero class in H 3 m(t, T). But H 3 m(t, T) = Z, and I chose f above to be a generator. Hence nondegenerate.

20 More generally, H p m(t, T) = Z for all odd p. For each odd p, choosing a generator gives a non-degenerate solution to a PD ce E with p + 1 subgroups. This leads to many new cohomological examples.

21 Example 4 Let Z = T 2 T 2, and define σ, c : Z T by and σ(s, x) = {s 1 }{x 2 } {x 2 } + {s 2 } {x 1 + s 1 } mod 1 c(s, t) = {s 1 }{t 2 } {t 1 }{s 2 } mod 1 Then σ(s, x + t) σ(s, x) = σ(t, x + s) σ(t, x) + c(s, t). Interpret this as a zero-sum problem on T 2 T 2 T 2. As for Example 3, repeated differencing annihilates all but one term, leaving a new PD ce E for the subgroups U 1 = {(s, t, x) s = x + t = 0}, U 2 = {(s, t, x) s = x = 0}, U 3 = {(s, t, x) x + s = t = 0}, U 4 = {(s, t, x) s = t = 0}.

22 σ(s, x + t) σ(s, x) = σ(t, x + s) σ(t, x) + c(s, t). The reveal: Written multiplicatively (i.e., for maps Z S 1 ), this equation becomes σ(s, x + t) σ(s, x) σ(t, x + s) = c(s, t). σ(t, x) This is the Conze-Lesigne equation, important in the study of two-step nilrotations. Now a more complicated argument shows that σ is a non-degenerate solution to the PD ce E. Also: not obtained from a cocycle in group cohomology.

23 SOME POSITIVE RESULTS Assume U U k = Z. (Otherwise, just work on each coset of U U k separately.) Let M F(Z) be the subgroup of solutions to the PD ce E associated to U 1,..., U k. It is globally invariant under rotations of Z. Let M 0 M be the further subgroup of degenerate solutions. It is also globally Z-invariant. Lastly, let : T [0, 1/2] be distance from 0 in T.

24 Theorem (Small solutions are always degenerate). k 1 η > 0 such that f M and Z f < η = f M 0. Corollary. The quotient M/M 0 is a countable discrete group.

25 Theorem (Stability for approximate solutions). k 1 ε > 0 δ > 0 such that if f F(Z) and then g M U 1 s.t. U k Z d u 1 d uk f(z) < δ Z f g < ε.

26 Lastly, suppose Z = T d. A function f : T d T is step-polynomial if a partition such that Z = P 1 P m each P i is defined by linear inequalities in {θ i } for (θ 1,..., θ d ) T d, and each restriction f P i is some polynomial function of ({θ i }) d i=1, evaluated mod 1.

27 Theorem (Basic solns are step-polynomial, mod M 0 ). If f M, then f = f 1 + g for some step-polynomial f 1 M and some g M 0. Also, have bounds on complexity of f 1 that depend only on quantitative smoothness of f, not on choice of Z: this gives a nontrivial result even for Z finite.

Szemerédi s regularity lemma revisited. Lewis Memorial Lecture March 14, Terence Tao (UCLA)

Szemerédi s regularity lemma revisited. Lewis Memorial Lecture March 14, Terence Tao (UCLA) Szemerédi s regularity lemma revisited Lewis Memorial Lecture March 14, 2008 Terence Tao (UCLA) 1 Finding models of large dense graphs Suppose we are given a large dense graph G = (V, E), where V is a

More information

The dichotomy between structure and randomness. International Congress of Mathematicians, Aug Terence Tao (UCLA)

The dichotomy between structure and randomness. International Congress of Mathematicians, Aug Terence Tao (UCLA) The dichotomy between structure and randomness International Congress of Mathematicians, Aug 23 2006 Terence Tao (UCLA) 1 A basic problem that occurs in many areas of analysis, combinatorics, PDE, and

More information

CONVERGENCE OF MULTIPLE ERGODIC AVERAGES FOR SOME COMMUTING TRANSFORMATIONS

CONVERGENCE OF MULTIPLE ERGODIC AVERAGES FOR SOME COMMUTING TRANSFORMATIONS CONVERGENCE OF MULTIPLE ERGODIC AVERAGES FOR SOME COMMUTING TRANSFORMATIONS NIKOS FRANTZIKINAKIS AND BRYNA KRA Abstract. We prove the L 2 convergence for the linear multiple ergodic averages of commuting

More information

Szemerédi s Lemma for the Analyst

Szemerédi s Lemma for the Analyst Szemerédi s Lemma for the Analyst László Lovász and Balázs Szegedy Microsoft Research April 25 Microsoft Research Technical Report # MSR-TR-25-9 Abstract Szemerédi s Regularity Lemma is a fundamental tool

More information

Part V. 17 Introduction: What are measures and why measurable sets. Lebesgue Integration Theory

Part V. 17 Introduction: What are measures and why measurable sets. Lebesgue Integration Theory Part V 7 Introduction: What are measures and why measurable sets Lebesgue Integration Theory Definition 7. (Preliminary). A measure on a set is a function :2 [ ] such that. () = 2. If { } = is a finite

More information

Arithmetic progressions in primes

Arithmetic progressions in primes Arithmetic progressions in primes Alex Gorodnik CalTech Lake Arrowhead, September 2006 Introduction Theorem (Green,Tao) Let A P := {primes} such that Then for any k N, for some a, d N. lim sup N A [1,

More information

Hypergraph Regularity and the multidimensional Szemerédi Theorem. W. T. Gowers

Hypergraph Regularity and the multidimensional Szemerédi Theorem. W. T. Gowers Hypergraph Regularity and the multidimensional Szemerédi Theorem. W. T. Gowers Abstract. We prove analogues for hypergraphs of Szemerédi s regularity lemma and the associated counting lemma for graphs.

More information

RIEMANN S INEQUALITY AND RIEMANN-ROCH

RIEMANN S INEQUALITY AND RIEMANN-ROCH RIEMANN S INEQUALITY AND RIEMANN-ROCH DONU ARAPURA Fix a compact connected Riemann surface X of genus g. Riemann s inequality gives a sufficient condition to construct meromorphic functions with prescribed

More information

Ergodic methods in additive combinatorics

Ergodic methods in additive combinatorics Ergodic methods in additive combinatorics Bryna Kra Abstract. Shortly after Szemerédi s proof that a set of positive upper density contains arbitrarily long arithmetic progressions, Furstenberg gave a

More information

Roth s Theorem on Arithmetic Progressions

Roth s Theorem on Arithmetic Progressions September 25, 2014 The Theorema of Szemerédi and Roth For Λ N the (upper asymptotic) density of Λ is the number σ(λ) := lim sup N Λ [1, N] N [0, 1] The Theorema of Szemerédi and Roth For Λ N the (upper

More information

Polynomial configurations in fractal sets

Polynomial configurations in fractal sets (Joint work with Vincent Chan, Kevin Henriot and Malabika Pramanik) Continuous analogues of Szemerédi s theorem Given a finite configuration in R n (a fixed set of k points, e.g. a 3-term arithmetic progression

More information

Dept of Math., SCU+USTC

Dept of Math., SCU+USTC 2015 s s Joint work with Xiaosheng Wu Dept of Math., SCU+USTC April, 2015 Outlineµ s 1 Background 2 A conjecture 3 Bohr 4 Main result 1. Background s Given a subset S = {s 1 < s 2 < } of natural numbers

More information

NOTES ON DIVISORS AND RIEMANN-ROCH

NOTES ON DIVISORS AND RIEMANN-ROCH NOTES ON DIVISORS AND RIEMANN-ROCH NILAY KUMAR Recall that due to the maximum principle, there are no nonconstant holomorphic functions on a compact complex manifold. The next best objects to study, as

More information

The Green-Tao theorem and a relative Szemerédi theorem

The Green-Tao theorem and a relative Szemerédi theorem The Green-Tao theorem and a relative Szemerédi theorem Yufei Zhao Massachusetts Institute of Technology Based on joint work with David Conlon (Oxford) and Jacob Fox (MIT) Green Tao Theorem (arxiv 2004;

More information

AVERAGING ALONG CUBES

AVERAGING ALONG CUBES AVERAGING ALONG CUBES BERNARD HOST AND BRYNA KRA Abstract. We study the convergence of an average of eight functions, where the average is taken along cubes whose sizes tend to + and show that this reduces

More information

Lecture 8: Finite fields

Lecture 8: Finite fields Lecture 8: Finite fields Rajat Mittal IIT Kanpur We have learnt about groups, rings, integral domains and fields till now. Fields have the maximum required properties and hence many nice theorems can be

More information

A Characterization of Locally Testable Affine-Invariant Properties via Decomposition Theorems

A Characterization of Locally Testable Affine-Invariant Properties via Decomposition Theorems A Characterization of Locally Testable Affine-Invariant Properties via Decomposition Theorems Yuichi Yoshida National Institute of Informatics and Preferred Infrastructure, Inc June 1, 2014 Yuichi Yoshida

More information

CHARACTERISTIC POLYNOMIAL PATTERNS IN DIFFERENCE SETS OF MATRICES

CHARACTERISTIC POLYNOMIAL PATTERNS IN DIFFERENCE SETS OF MATRICES CHARACTERISTIC POLYNOMIAL PATTERNS IN DIFFERENCE SETS OF MATRICES MICHAEL BJÖRKLUND AND ALEXANDER FISH Abstract. We show that for every subset E of positive density in the set of integer squarematrices

More information

Additive Combinatorics and Szemerédi s Regularity Lemma

Additive Combinatorics and Szemerédi s Regularity Lemma Additive Combinatorics and Szemerédi s Regularity Lemma Vijay Keswani Anurag Sahay 20th April, 2015 Supervised by : Dr. Rajat Mittal 1 Contents 1 Introduction 3 2 Sum-set Estimates 4 2.1 Size of sumset

More information

Higher-order Fourier analysis of F n p and the complexity of systems of linear forms

Higher-order Fourier analysis of F n p and the complexity of systems of linear forms Higher-order Fourier analysis of F n p and the complexity of systems of linear forms Hamed Hatami School of Computer Science, McGill University, Montréal, Canada hatami@cs.mcgill.ca Shachar Lovett School

More information

AN ODD FURSTENBERG-SZEMERÉDI THEOREM AND QUASI-AFFINE SYSTEMS

AN ODD FURSTENBERG-SZEMERÉDI THEOREM AND QUASI-AFFINE SYSTEMS AN ODD FURSTENBERG-SZEMERÉDI THEOREM AND QUASI-AFFINE SYSTEMS BERNARD HOST AND BRYNA KRA Abstract. We prove a version of Furstenberg s ergodic theorem with restrictions on return times. More specifically,

More information

Applications of model theory in extremal graph combinatorics

Applications of model theory in extremal graph combinatorics Applications of model theory in extremal graph combinatorics Artem Chernikov (IMJ-PRG, UCLA) Logic Colloquium Helsinki, August 4, 2015 Szemerédi regularity lemma Theorem [E. Szemerédi, 1975] Every large

More information

A proof of Green s conjecture regarding the removal properties of sets of linear equations

A proof of Green s conjecture regarding the removal properties of sets of linear equations J. London Math. Soc. (2) 81 (2010) 355 373 C 2010 London Mathematical Society doi:10.1112/jlms/jdp076 A proof of Green s conjecture regarding the removal properties of sets of linear equations Asaf Shapira

More information

Pseudorandomness in Computer Science and in Additive Combinatorics. Luca Trevisan University of California, Berkeley

Pseudorandomness in Computer Science and in Additive Combinatorics. Luca Trevisan University of California, Berkeley Pseudorandomness in Computer Science and in Additive Combinatorics Luca Trevisan University of California, Berkeley this talk explain what notions of pseudorandomness and indistinguishability arise in

More information

THE SZEMERÉDI REGULARITY LEMMA AND ITS APPLICATION

THE SZEMERÉDI REGULARITY LEMMA AND ITS APPLICATION THE SZEMERÉDI REGULARITY LEMMA AND ITS APPLICATION YAQIAO LI In this note we will prove Szemerédi s regularity lemma, and its application in proving the triangle removal lemma and the Roth s theorem on

More information

Roth s Theorem on 3-term Arithmetic Progressions

Roth s Theorem on 3-term Arithmetic Progressions Roth s Theorem on 3-term Arithmetic Progressions Mustazee Rahman 1 Introduction This article is a discussion about the proof of a classical theorem of Roth s regarding the existence of three term arithmetic

More information

Additive Combinatorics and Computational Complexity

Additive Combinatorics and Computational Complexity Additive Combinatorics and Computational Complexity Luca Trevisan U.C. Berkeley Ongoing joint work with Omer Reingold, Madhur Tulsiani, Salil Vadhan Combinatorics: Studies: Graphs, hypergraphs, set systems

More information

Definitions. Notations. Injective, Surjective and Bijective. Divides. Cartesian Product. Relations. Equivalence Relations

Definitions. Notations. Injective, Surjective and Bijective. Divides. Cartesian Product. Relations. Equivalence Relations Page 1 Definitions Tuesday, May 8, 2018 12:23 AM Notations " " means "equals, by definition" the set of all real numbers the set of integers Denote a function from a set to a set by Denote the image of

More information

Szemerédi s Theorem via Ergodic Theory

Szemerédi s Theorem via Ergodic Theory Szemerédi s Theorem via Ergodic Theory Yufei Zhao April 20, 20 Abstract We provide an expository account of Furstenberg s ergodic theoretic proof of Szemerédi s theorem, which states that every subset

More information

1.1 Szemerédi s Regularity Lemma

1.1 Szemerédi s Regularity Lemma 8 - Szemerédi s Regularity Lemma Jacques Verstraëte jacques@ucsd.edu 1 Introduction Szemerédi s Regularity Lemma [18] tells us that every graph can be partitioned into a constant number of sets of vertices

More information

arxiv: v1 [math.ds] 13 Jul 2015

arxiv: v1 [math.ds] 13 Jul 2015 CHARACTERISTIC POLYNOMIAL PATTERNS IN DIFFERENCE SETS OF MATRICES MICHAEL BJÖRKLUND AND ALEXANDER FISH arxiv:1507.03380v1 [math.ds] 13 Jul 2015 Abstract. We show that for every subset E of positive density

More information

TOEPLITZ OPERATORS. Toeplitz studied infinite matrices with NW-SE diagonals constant. f e C :

TOEPLITZ OPERATORS. Toeplitz studied infinite matrices with NW-SE diagonals constant. f e C : TOEPLITZ OPERATORS EFTON PARK 1. Introduction to Toeplitz Operators Otto Toeplitz lived from 1881-1940 in Goettingen, and it was pretty rough there, so he eventually went to Palestine and eventually contracted

More information

BERNARD HOST AND BRYNA KRA

BERNARD HOST AND BRYNA KRA UIFORMITY SEMIORMS O l AD A IVERSE THEOREM SUMMARY OF RESULTS BERARD HOST AD BRYA KRA Abstract. For each integer k, we define seminorms on l (Z), analogous to the seminorms defined by the authors on bounded

More information

A course in arithmetic Ramsey theory

A course in arithmetic Ramsey theory A course in arithmetic Ramsey theory Frank de Zeeuw May 6, 2017 1 Coloring Theorems 2 1.1 Van der Waerden s Theorem............................ 2 1.2 Bounds for Van der Waerden s Theorem......................

More information

Applications of the Sparse Regularity Lemma

Applications of the Sparse Regularity Lemma Applications of the Sparse Regularity Lemma Y. Kohayakawa (Emory and São Paulo) Extremal Combinatorics II DIMACS 2004 1 Szemerédi s regularity lemma 1. Works very well for large, dense graphs: n-vertex

More information

The Green-Tao theorem and a relative Szemerédi theorem

The Green-Tao theorem and a relative Szemerédi theorem The Green-Tao theorem and a relative Szemerédi theorem Yufei Zhao Massachusetts Institute of Technology Joint work with David Conlon (Oxford) and Jacob Fox (MIT) Simons Institute December 2013 Green Tao

More information

The Green-Tao Theorem on arithmetic progressions within the primes. Thomas Bloom

The Green-Tao Theorem on arithmetic progressions within the primes. Thomas Bloom The Green-Tao Theorem on arithmetic progressions within the primes Thomas Bloom November 7, 2010 Contents 1 Introduction 6 1.1 Heuristics..................................... 7 1.2 Arithmetic Progressions.............................

More information

ERGODIC AVERAGES FOR INDEPENDENT POLYNOMIALS AND APPLICATIONS

ERGODIC AVERAGES FOR INDEPENDENT POLYNOMIALS AND APPLICATIONS ERGODIC AVERAGES FOR INDEPENDENT POLYNOMIALS AND APPLICATIONS NIKOS FRANTZIKINAKIS AND BRYNA KRA Abstract. Szemerédi s Theorem states that a set of integers with positive upper density contains arbitrarily

More information

VARIATIONS ON TOPOLOGICAL RECURRENCE

VARIATIONS ON TOPOLOGICAL RECURRENCE VARIATIONS ON TOPOLOGICAL RECURRENCE BERNARD HOST, BRYNA KRA, AND ALEJANDRO MAASS Abstract. Recurrence properties of systems and associated sets of integers that suffice for recurrence are classical objects

More information

Generalizing the Hardy-Littlewood Method for Primes

Generalizing the Hardy-Littlewood Method for Primes Generalizing the Hardy-Littlewood Method for Primes Ben Green (reporting on joint work with Terry Tao) Clay Institute/University of Cambridge August 20, 2006 Ben Green (Clay/Cambridge) Generalizing Hardy-Littlewood

More information

Ramsey theory and the geometry of Banach spaces

Ramsey theory and the geometry of Banach spaces Ramsey theory and the geometry of Banach spaces Pandelis Dodos University of Athens Maresias (São Paulo), August 25 29, 2014 1.a. The Hales Jewett theorem The following result is due to Hales & Jewett

More information

Ultraproducts of Finite Groups

Ultraproducts of Finite Groups Ultraproducts of Finite Groups Ben Reid May 11, 010 1 Background 1.1 Ultrafilters Let S be any set, and let P (S) denote the power set of S. We then call ψ P (S) a filter over S if the following conditions

More information

GROUP SHIFTS AND BERNOULLI FACTORS

GROUP SHIFTS AND BERNOULLI FACTORS Z d GROUP SHIFTS AND BERNOULLI FACTORS MIKE BOYLE AND MICHAEL SCHRAUDNER Abstract. In this paper, a group shift is an expansive action of Z d on a compact metrizable zero dimensional group by continuous

More information

Probabilistic Proofs of Existence of Rare Events. Noga Alon

Probabilistic Proofs of Existence of Rare Events. Noga Alon Probabilistic Proofs of Existence of Rare Events Noga Alon Department of Mathematics Sackler Faculty of Exact Sciences Tel Aviv University Ramat-Aviv, Tel Aviv 69978 ISRAEL 1. The Local Lemma In a typical

More information

Jean Bourgain Institute for Advanced Study Princeton, NJ 08540

Jean Bourgain Institute for Advanced Study Princeton, NJ 08540 Jean Bourgain Institute for Advanced Study Princeton, NJ 08540 1 ADDITIVE COMBINATORICS SUM-PRODUCT PHENOMENA Applications to: Exponential sums Expanders and spectral gaps Invariant measures Pseudo-randomness

More information

Quadratic reciprocity (after Weil) 1. Standard set-up and Poisson summation

Quadratic reciprocity (after Weil) 1. Standard set-up and Poisson summation (September 17, 010) Quadratic reciprocity (after Weil) Paul Garrett garrett@math.umn.edu http://www.math.umn.edu/ garrett/ I show that over global fields (characteristic not ) the quadratic norm residue

More information

WEAK QUASI-RANDOMNESS FOR UNIFORM HYPERGRAPHS

WEAK QUASI-RANDOMNESS FOR UNIFORM HYPERGRAPHS WEAK QUASI-RANDOMNESS FOR UNIFORM HYPERGRAPHS DAVID CONLON, HIỆP HÀN, YURY PERSON, AND MATHIAS SCHACHT Abstract. We study quasi-random properties of k-uniform hypergraphs. Our central notion is uniform

More information

The regularity method and blow-up lemmas for sparse graphs

The regularity method and blow-up lemmas for sparse graphs The regularity method and blow-up lemmas for sparse graphs Y. Kohayakawa (São Paulo) SPSAS Algorithms, Combinatorics and Optimization University of São Paulo July 2016 Partially supported CAPES/DAAD (430/15),

More information

REGULARITY LEMMAS FOR GRAPHS

REGULARITY LEMMAS FOR GRAPHS REGULARITY LEMMAS FOR GRAPHS Abstract. Szemerédi s regularity lemma proved to be a fundamental result in modern graph theory. It had a number of important applications and is a widely used tool in extremal

More information

Quadratic reciprocity (after Weil) 1. Standard set-up and Poisson summation

Quadratic reciprocity (after Weil) 1. Standard set-up and Poisson summation (December 19, 010 Quadratic reciprocity (after Weil Paul Garrett garrett@math.umn.edu http://www.math.umn.edu/ garrett/ I show that over global fields k (characteristic not the quadratic norm residue symbol

More information

4.2. ORTHOGONALITY 161

4.2. ORTHOGONALITY 161 4.2. ORTHOGONALITY 161 Definition 4.2.9 An affine space (E, E ) is a Euclidean affine space iff its underlying vector space E is a Euclidean vector space. Given any two points a, b E, we define the distance

More information

Number Theory, Algebra and Analysis. William Yslas Vélez Department of Mathematics University of Arizona

Number Theory, Algebra and Analysis. William Yslas Vélez Department of Mathematics University of Arizona Number Theory, Algebra and Analysis William Yslas Vélez Department of Mathematics University of Arizona O F denotes the ring of integers in the field F, it mimics Z in Q How do primes factor as you consider

More information

THE P-ADIC NUMBERS AND FINITE FIELD EXTENSIONS OF Q p

THE P-ADIC NUMBERS AND FINITE FIELD EXTENSIONS OF Q p THE P-ADIC NUMBERS AND FINITE FIELD EXTENSIONS OF Q p EVAN TURNER Abstract. This paper will focus on the p-adic numbers and their properties. First, we will examine the p-adic norm and look at some of

More information

A Little Beyond: Linear Algebra

A Little Beyond: Linear Algebra A Little Beyond: Linear Algebra Akshay Tiwary March 6, 2016 Any suggestions, questions and remarks are welcome! 1 A little extra Linear Algebra 1. Show that any set of non-zero polynomials in [x], no two

More information

Nonconventional ergodic averages and nilmanifolds

Nonconventional ergodic averages and nilmanifolds Annals of Mathematics, 161 (2005), 397 488 Nonconventional ergodic averages and nilmanifolds By Bernard Host and Bryna Kra Abstract We study the L 2 -convergence of two types of ergodic averages. The first

More information

Algorithmic regularity for polynomials and applications

Algorithmic regularity for polynomials and applications Algorithmic regularity for polynomials and applications Arnab Bhattacharyya Pooya Hatami Madhur Tulsiani November 25, 2013 Abstract In analogy with the regularity lemma of Szemerédi [Sze75], regularity

More information

ENTRY GROUP THEORY. [ENTRY GROUP THEORY] Authors: started Mark Lezama: October 2003 Literature: Algebra by Michael Artin, Mathworld.

ENTRY GROUP THEORY. [ENTRY GROUP THEORY] Authors: started Mark Lezama: October 2003 Literature: Algebra by Michael Artin, Mathworld. ENTRY GROUP THEORY [ENTRY GROUP THEORY] Authors: started Mark Lezama: October 2003 Literature: Algebra by Michael Artin, Mathworld Group theory [Group theory] is studies algebraic objects called groups.

More information

The regularity method and blow-up lemmas for sparse graphs

The regularity method and blow-up lemmas for sparse graphs The regularity method and blow-up lemmas for sparse graphs Y. Kohayakawa (São Paulo) SPSAS Algorithms, Combinatorics and Optimization University of São Paulo July 2016 Partially supported CAPES/DAAD (430/15),

More information

Hardy spaces of Dirichlet series and function theory on polydiscs

Hardy spaces of Dirichlet series and function theory on polydiscs Hardy spaces of Dirichlet series and function theory on polydiscs Kristian Seip Norwegian University of Science and Technology (NTNU) Steinkjer, September 11 12, 2009 Summary Lecture One Theorem (H. Bohr)

More information

TEICHMÜLLER SPACE MATTHEW WOOLF

TEICHMÜLLER SPACE MATTHEW WOOLF TEICHMÜLLER SPACE MATTHEW WOOLF Abstract. It is a well-known fact that every Riemann surface with negative Euler characteristic admits a hyperbolic metric. But this metric is by no means unique indeed,

More information

Tame definable topological dynamics

Tame definable topological dynamics Tame definable topological dynamics Artem Chernikov (Paris 7) Géométrie et Théorie des Modèles, 4 Oct 2013, ENS, Paris Joint work with Pierre Simon, continues previous work with Anand Pillay and Pierre

More information

Stab(t) = {h G h t = t} = {h G h (g s) = g s} = {h G (g 1 hg) s = s} = g{k G k s = s} g 1 = g Stab(s)g 1.

Stab(t) = {h G h t = t} = {h G h (g s) = g s} = {h G (g 1 hg) s = s} = g{k G k s = s} g 1 = g Stab(s)g 1. 1. Group Theory II In this section we consider groups operating on sets. This is not particularly new. For example, the permutation group S n acts on the subset N n = {1, 2,...,n} of N. Also the group

More information

MA257: INTRODUCTION TO NUMBER THEORY LECTURE NOTES

MA257: INTRODUCTION TO NUMBER THEORY LECTURE NOTES MA257: INTRODUCTION TO NUMBER THEORY LECTURE NOTES 2018 57 5. p-adic Numbers 5.1. Motivating examples. We all know that 2 is irrational, so that 2 is not a square in the rational field Q, but that we can

More information

Manfred Einsiedler Thomas Ward. Ergodic Theory. with a view towards Number Theory. ^ Springer

Manfred Einsiedler Thomas Ward. Ergodic Theory. with a view towards Number Theory. ^ Springer Manfred Einsiedler Thomas Ward Ergodic Theory with a view towards Number Theory ^ Springer 1 Motivation 1 1.1 Examples of Ergodic Behavior 1 1.2 Equidistribution for Polynomials 3 1.3 Szemeredi's Theorem

More information

The dichotomy between structure and randomness, arithmetic progressions, and the primes

The dichotomy between structure and randomness, arithmetic progressions, and the primes The dichotomy between structure and randomness, arithmetic progressions, and the primes Terence Tao Abstract. A famous theorem of Szemerédi asserts that all subsets of the integers with positive upper

More information

Quasirandomness, Counting and Regularity for 3-Uniform Hypergraphs. W. T. Gowers

Quasirandomness, Counting and Regularity for 3-Uniform Hypergraphs. W. T. Gowers Quasirandomness, Counting and Regularity for 3-Uniform Hypergraphs W. T. Gowers Abstract. The main results of this paper are regularity and counting lemmas for 3- uniform hypergraphs. A combination of

More information

A FEW ELEMENTARY FACTS ABOUT ELLIPTIC CURVES

A FEW ELEMENTARY FACTS ABOUT ELLIPTIC CURVES A FEW ELEMENTARY FACTS ABOUT ELLIPTIC CURVES. Introduction In our paper we shall present a number of facts regarding the doubly periodic meromorphic functions, also known as elliptic f unctions. We shall

More information

A quantitative ergodic theory proof of Szemerédi s theorem

A quantitative ergodic theory proof of Szemerédi s theorem A quantitative ergodic theory proof of Szemerédi s theorem Terence Tao Department of Mathematics, UCLA, Los Angeles CA 90095-1555 tao@math.ucla.edu http://www.math.ucla.edu/ tao Submitted: May 14, 2004;

More information

REPRESENTATION THEORY WEEK 7

REPRESENTATION THEORY WEEK 7 REPRESENTATION THEORY WEEK 7 1. Characters of L k and S n A character of an irreducible representation of L k is a polynomial function constant on every conjugacy class. Since the set of diagonalizable

More information

Can a Graph Have Distinct Regular Partitions?

Can a Graph Have Distinct Regular Partitions? Can a Graph Have Distinct Regular Partitions? Noga Alon Asaf Shapira Uri Stav Abstract The regularity lemma of Szemerédi gives a concise approximate description of a graph via a so called regular partition

More information

Understanding hard cases in the general class group algorithm

Understanding hard cases in the general class group algorithm Understanding hard cases in the general class group algorithm Makoto Suwama Supervisor: Dr. Steve Donnelly The University of Sydney February 2014 1 Introduction This report has studied the general class

More information

How curvature shapes space

How curvature shapes space How curvature shapes space Richard Schoen University of California, Irvine - Hopf Lecture, ETH, Zürich - October 30, 2017 The lecture will have three parts: Part 1: Heinz Hopf and Riemannian geometry Part

More information

CLASS FIELD THEORY WEEK Motivation

CLASS FIELD THEORY WEEK Motivation CLASS FIELD THEORY WEEK 1 JAVIER FRESÁN 1. Motivation In a 1640 letter to Mersenne, Fermat proved the following: Theorem 1.1 (Fermat). A prime number p distinct from 2 is a sum of two squares if and only

More information

Spectral Graph Theory Lecture 3. Fundamental Graphs. Daniel A. Spielman September 5, 2018

Spectral Graph Theory Lecture 3. Fundamental Graphs. Daniel A. Spielman September 5, 2018 Spectral Graph Theory Lecture 3 Fundamental Graphs Daniel A. Spielman September 5, 2018 3.1 Overview We will bound and derive the eigenvalues of the Laplacian matrices of some fundamental graphs, including

More information

Algebraic structures I

Algebraic structures I MTH5100 Assignment 1-10 Algebraic structures I For handing in on various dates January March 2011 1 FUNCTIONS. Say which of the following rules successfully define functions, giving reasons. For each one

More information

The Decomposability Problem for Torsion-Free Abelian Groups is Analytic-Complete

The Decomposability Problem for Torsion-Free Abelian Groups is Analytic-Complete The Decomposability Problem for Torsion-Free Abelian Groups is Analytic-Complete Kyle Riggs Indiana University April 29, 2014 Kyle Riggs Decomposability Problem 1/ 22 Computable Groups background A group

More information

PCMI LECTURE NOTES ON PROPERTY (T ), EXPANDER GRAPHS AND APPROXIMATE GROUPS (PRELIMINARY VERSION)

PCMI LECTURE NOTES ON PROPERTY (T ), EXPANDER GRAPHS AND APPROXIMATE GROUPS (PRELIMINARY VERSION) PCMI LECTURE NOTES ON PROPERTY (T ), EXPANDER GRAPHS AND APPROXIMATE GROUPS (PRELIMINARY VERSION) EMMANUEL BREUILLARD 1. Lecture 1, Spectral gaps for infinite groups and non-amenability The final aim of

More information

A PROBABILISTIC THRESHOLD FOR MONOCHROMATIC ARITHMETIC PROGRESSIONS

A PROBABILISTIC THRESHOLD FOR MONOCHROMATIC ARITHMETIC PROGRESSIONS A PROBABILISTIC THRESHOLD FOR MONOCHROMATIC ARITHMETIC PROGRESSIONS Aaron Robertson Department of Mathematics, Colgate University, Hamilton, New York arobertson@colgate.edu Abstract Let f r (k) = p k r

More information

Random Graphs III. Y. Kohayakawa (São Paulo) Chorin, 4 August 2006

Random Graphs III. Y. Kohayakawa (São Paulo) Chorin, 4 August 2006 Y. Kohayakawa (São Paulo) Chorin, 4 August 2006 Outline 1 Outline of Lecture III 1. Subgraph containment with adversary: Existence of monoχ subgraphs in coloured random graphs; properties of the form G(n,

More information

Algebraic Number Theory

Algebraic Number Theory TIFR VSRP Programme Project Report Algebraic Number Theory Milind Hegde Under the guidance of Prof. Sandeep Varma July 4, 2015 A C K N O W L E D G M E N T S I would like to express my thanks to TIFR for

More information

CONVOLUTION OF DISCRETE MEASURES ON LINEAR GROUPS

CONVOLUTION OF DISCRETE MEASURES ON LINEAR GROUPS CONVOLUTION OF DISCRETE MEASURES ON LINEAR GROUPS 1 Mei-Chu Chang Abstract Let p, q R such that 1 < p < 2 and 2 p = 1 + 1 q. Define ( ) 1/p f p = max f(xy) p (*) x,g 1 y G 1 where G 1 is taken in some

More information

Answers to Final Exam

Answers to Final Exam Answers to Final Exam MA441: Algebraic Structures I 20 December 2003 1) Definitions (20 points) 1. Given a subgroup H G, define the quotient group G/H. (Describe the set and the group operation.) The quotient

More information

B 1 = {B(x, r) x = (x 1, x 2 ) H, 0 < r < x 2 }. (a) Show that B = B 1 B 2 is a basis for a topology on X.

B 1 = {B(x, r) x = (x 1, x 2 ) H, 0 < r < x 2 }. (a) Show that B = B 1 B 2 is a basis for a topology on X. Math 6342/7350: Topology and Geometry Sample Preliminary Exam Questions 1. For each of the following topological spaces X i, determine whether X i and X i X i are homeomorphic. (a) X 1 = [0, 1] (b) X 2

More information

Vinogradov s mean value theorem and its associated restriction theory via efficient congruencing.

Vinogradov s mean value theorem and its associated restriction theory via efficient congruencing. Vinogradov s mean value theorem and its associated restriction theory via efficient congruencing. Trevor D. Wooley University of Bristol Oxford, 29th September 2014 Oxford, 29th September 2014 1 / 1. Introduction

More information

MA103 Introduction to Abstract Mathematics Second part, Analysis and Algebra

MA103 Introduction to Abstract Mathematics Second part, Analysis and Algebra 206/7 MA03 Introduction to Abstract Mathematics Second part, Analysis and Algebra Amol Sasane Revised by Jozef Skokan, Konrad Swanepoel, and Graham Brightwell Copyright c London School of Economics 206

More information

LECTURE 5: THE METHOD OF STATIONARY PHASE

LECTURE 5: THE METHOD OF STATIONARY PHASE LECTURE 5: THE METHOD OF STATIONARY PHASE Some notions.. A crash course on Fourier transform For j =,, n, j = x j. D j = i j. For any multi-index α = (α,, α n ) N n. α = α + + α n. α! = α! α n!. x α =

More information

Additive Combinatorics Lecture 12

Additive Combinatorics Lecture 12 Additive Combinatorics Lecture 12 Leo Goldmakher Scribe: Gal Gross April 4th, 2014 Last lecture we proved the Bohr-to-gAP proposition, but the final step was a bit mysterious we invoked Minkowski s second

More information

Some Background Material

Some Background Material Chapter 1 Some Background Material In the first chapter, we present a quick review of elementary - but important - material as a way of dipping our toes in the water. This chapter also introduces important

More information

L(C G (x) 0 ) c g (x). Proof. Recall C G (x) = {g G xgx 1 = g} and c g (x) = {X g Ad xx = X}. In general, it is obvious that

L(C G (x) 0 ) c g (x). Proof. Recall C G (x) = {g G xgx 1 = g} and c g (x) = {X g Ad xx = X}. In general, it is obvious that ALGEBRAIC GROUPS 61 5. Root systems and semisimple Lie algebras 5.1. Characteristic 0 theory. Assume in this subsection that chark = 0. Let me recall a couple of definitions made earlier: G is called reductive

More information

MATH 263: PROBLEM SET 1: BUNDLES, SHEAVES AND HODGE THEORY

MATH 263: PROBLEM SET 1: BUNDLES, SHEAVES AND HODGE THEORY MATH 263: PROBLEM SET 1: BUNDLES, SHEAVES AND HODGE THEORY 0.1. Vector Bundles and Connection 1-forms. Let E X be a complex vector bundle of rank r over a smooth manifold. Recall the following abstract

More information

Matrix estimation by Universal Singular Value Thresholding

Matrix estimation by Universal Singular Value Thresholding Matrix estimation by Universal Singular Value Thresholding Courant Institute, NYU Let us begin with an example: Suppose that we have an undirected random graph G on n vertices. Model: There is a real symmetric

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

Stanford University CS366: Graph Partitioning and Expanders Handout 13 Luca Trevisan March 4, 2013

Stanford University CS366: Graph Partitioning and Expanders Handout 13 Luca Trevisan March 4, 2013 Stanford University CS366: Graph Partitioning and Expanders Handout 13 Luca Trevisan March 4, 2013 Lecture 13 In which we construct a family of expander graphs. The problem of constructing expander graphs

More information

MA441: Algebraic Structures I. Lecture 18

MA441: Algebraic Structures I. Lecture 18 MA441: Algebraic Structures I Lecture 18 5 November 2003 1 Review from Lecture 17: Theorem 6.5: Aut(Z/nZ) U(n) For every positive integer n, Aut(Z/nZ) is isomorphic to U(n). The proof used the map T :

More information

Definably amenable groups in NIP

Definably amenable groups in NIP Definably amenable groups in NIP Artem Chernikov (Paris 7) Lyon, 21 Nov 2013 Joint work with Pierre Simon. Setting T is a complete first-order theory in a language L, countable for simplicity. M = T a

More information

Simply connected gradings of complex matrix algebra

Simply connected gradings of complex matrix algebra of matrix algebras Simply connected gradings of complex matrix algebra 04.07.2013 of matrix algebras Table of contents 1 2 of matrix algebras 3 of matrix algebras A grading of an algebra A by a group G

More information

Measure and Integration: Solutions of CW2

Measure and Integration: Solutions of CW2 Measure and Integration: s of CW2 Fall 206 [G. Holzegel] December 9, 206 Problem of Sheet 5 a) Left (f n ) and (g n ) be sequences of integrable functions with f n (x) f (x) and g n (x) g (x) for almost

More information

Roth s theorem on 3-arithmetic progressions. CIMPA Research school Shillong 2013

Roth s theorem on 3-arithmetic progressions. CIMPA Research school Shillong 2013 Roth s theorem on 3-arithmetic progressions CIPA Research school Shillong 2013 Anne de Roton Institut Elie Cartan Université de Lorraine France 2 1. Introduction. In 1953, K. Roth [6] proved the following

More information

REPRESENTATION THEORY OF S n

REPRESENTATION THEORY OF S n REPRESENTATION THEORY OF S n EVAN JENKINS Abstract. These are notes from three lectures given in MATH 26700, Introduction to Representation Theory of Finite Groups, at the University of Chicago in November

More information

1 Directional Derivatives and Differentiability

1 Directional Derivatives and Differentiability Wednesday, January 18, 2012 1 Directional Derivatives and Differentiability Let E R N, let f : E R and let x 0 E. Given a direction v R N, let L be the line through x 0 in the direction v, that is, L :=

More information