Simon R. Blackburn. Jount work with Tuvi Etzion. 9th July 2012

Size: px
Start display at page:

Download "Simon R. Blackburn. Jount work with Tuvi Etzion. 9th July 2012"

Transcription

1 Grassmannian Codes Royal and Holloway Quasirandom logo Hypergraphs guidelines Simon R. Blackburn Jount work with Tuvi Etzion 9th July 2012 Standard logo The logo should be reproduced in the primary co Pantone 660c, on all publications printed in two more colours. Refer to the Branded merchandise sheet for guidelines on use on promotional items The text, University of London, is set as a 50% o blue background. Do not use a keyline see Non standard backgrounds for exceptions. The College name has been specially drawn; plea use the original digital artwork and do not try t re-set. Clear area Simon R. Blackburn (RHUL) Grassmannians and QR Hypergraphs No graphic or text should be placed in an area around the logo equivalent to the width 1 of / 10 the b

2 Grassmannian codes The Grassmannian G q (l, k) is the set of all k-dimensional subspaces of F l q. Simon R. Blackburn (RHUL) Grassmannians and QR Hypergraphs 2 / 10

3 Grassmannian codes The Grassmannian G q (l, k) is the set of all k-dimensional subspaces of F l q. For U, V G q (l, k), define d(u, V ) = 2k 2 dim(u V ). Simon R. Blackburn (RHUL) Grassmannians and QR Hypergraphs 2 / 10

4 Grassmannian codes The Grassmannian G q (l, k) is the set of all k-dimensional subspaces of F l q. For U, V G q (l, k), define d(u, V ) = 2k 2 dim(u V ). A set C G q (l, k) is a Grassmannian code of minimum distance d if d(u, V ) d for all U, V C. Simon R. Blackburn (RHUL) Grassmannians and QR Hypergraphs 2 / 10

5 Grassmannian codes The Grassmannian G q (l, k) is the set of all k-dimensional subspaces of F l q. For U, V G q (l, k), define d(u, V ) = 2k 2 dim(u V ). A set C G q (l, k) is a Grassmannian code of minimum distance d if d(u, V ) d for all U, V C. Combinatorial problem When l, k and a distance d are fixed, find the size A q (l, d, k) of the largest Grassmannian code of minimum distance d in G(l, k). Simon R. Blackburn (RHUL) Grassmannians and QR Hypergraphs 2 / 10

6 Grassmannian codes The Grassmannian G q (l, k) is the set of all k-dimensional subspaces of F l q. For U, V G q (l, k), define d(u, V ) = 2k 2 dim(u V ). A set C G q (l, k) is a Grassmannian code of minimum distance d if d(u, V ) d for all U, V C. Combinatorial problem When l, k and a distance d are fixed, find the size A q (l, d, k) of the largest Grassmannian code of minimum distance d in G(l, k). Koetter and Kschischang (2008) give applications to network coding. Simon R. Blackburn (RHUL) Grassmannians and QR Hypergraphs 2 / 10

7 Upper bounds Important observation A Grassmannian code C has minimum distance 2δ + 2 or more if and only if no subspace of dimension k δ is contained in distinct U, V C. Simon R. Blackburn (RHUL) Grassmannians and QR Hypergraphs 3 / 10

8 Upper bounds Important observation A Grassmannian code C has minimum distance 2δ + 2 or more if and only if no subspace of dimension k δ is contained in distinct U, V C. Proof. d(u, V ) = 2k 2 dim(u V ) so d(u, V ) 2δ if and only if dim(u V ) k δ. Simon R. Blackburn (RHUL) Grassmannians and QR Hypergraphs 3 / 10

9 Upper bounds Important observation A Grassmannian code C has minimum distance 2δ + 2 or more if and only if no subspace of dimension k δ is contained in distinct U, V C. Proof. d(u, V ) = 2k 2 dim(u V ) so d(u, V ) 2δ if and only if dim(u V ) k δ. Define a hypergraph (V, E) where V = G q (l, k δ) and E = G q (l, k). We say V E contains those U V with U V. Then C corresponds to a packing by hyperedges. Simon R. Blackburn (RHUL) Grassmannians and QR Hypergraphs 3 / 10

10 Upper bounds Write [ ] l k for the number of k-dimensional subspaces of an l-dimensional q vector space over F q. Simon R. Blackburn (RHUL) Grassmannians and QR Hypergraphs 4 / 10

11 Upper bounds Write [ ] l k for the number of k-dimensional subspaces of an l-dimensional q vector space over F q. Corollary (The packing bound) A q (l, 2δ + 2, k) [ l ] k δ q [ k ] k δ q Simon R. Blackburn (RHUL) Grassmannians and QR Hypergraphs 4 / 10

12 Upper bounds Write [ ] l k for the number of k-dimensional subspaces of an l-dimensional q vector space over F q. Corollary (The packing bound) A q (l, 2δ + 2, k) [ l ] k δ q [ k ] k δ q Proof. V = [ l k δ ]q, and each hyperedge contains [ k k δ ] q vertices. Simon R. Blackburn (RHUL) Grassmannians and QR Hypergraphs 4 / 10

13 Upper bounds Write [ ] l k for the number of k-dimensional subspaces of an l-dimensional q vector space over F q. Corollary (The packing bound) A q (l, 2δ + 2, k) [ l ] k δ q [ k ] k δ q Proof. V = [ l k δ ]q, and each hyperedge contains [ k k δ ] q vertices. A version of the iterated Johnson bound for constant weight codes is a little better, but its asymptotics are the same. Simon R. Blackburn (RHUL) Grassmannians and QR Hypergraphs 4 / 10

14 Hypergraphs Let V be a set of vertices, and E be a set of hyperedges. A hypergraph (V, E) is r-uniform if all hyperedges have cardinality r. Simon R. Blackburn (RHUL) Grassmannians and QR Hypergraphs 5 / 10

15 Hypergraphs Let V be a set of vertices, and E be a set of hyperedges. A hypergraph (V, E) is r-uniform if all hyperedges have cardinality r. Our example: r = [ ] k k δ q. Simon R. Blackburn (RHUL) Grassmannians and QR Hypergraphs 5 / 10

16 Hypergraphs Let V be a set of vertices, and E be a set of hyperedges. A hypergraph (V, E) is r-uniform if all hyperedges have cardinality r. Our example: r = [ ] k k δ. q The degree deg(v) of a vertex v is the number of hyperedges containing v. Simon R. Blackburn (RHUL) Grassmannians and QR Hypergraphs 5 / 10

17 Hypergraphs Let V be a set of vertices, and E be a set of hyperedges. A hypergraph (V, E) is r-uniform if all hyperedges have cardinality r. Our example: r = [ ] k k δ. q The degree deg(v) of a vertex v is the number of hyperedges containing v. The hypergraph (V, E) is d-regular if deg(v) = d for all v V. Simon R. Blackburn (RHUL) Grassmannians and QR Hypergraphs 5 / 10

18 Hypergraphs Let V be a set of vertices, and E be a set of hyperedges. A hypergraph (V, E) is r-uniform if all hyperedges have cardinality r. Our example: r = [ ] k k δ. q The degree deg(v) of a vertex v is the number of hyperedges containing v. The hypergraph (V, E) is d-regular if deg(v) = d for all v V. Our example: d = [ ] l k+δ δ q (large). Simon R. Blackburn (RHUL) Grassmannians and QR Hypergraphs 5 / 10

19 Hypergraphs Let V be a set of vertices, and E be a set of hyperedges. A hypergraph (V, E) is r-uniform if all hyperedges have cardinality r. Our example: r = [ ] k k δ. q The degree deg(v) of a vertex v is the number of hyperedges containing v. The hypergraph (V, E) is d-regular if deg(v) = d for all v V. Our example: d = [ ] l k+δ δ q (large). The codegree codeg(u, v) of a pair of vertices is the number of hyperedges containing both u and v. Simon R. Blackburn (RHUL) Grassmannians and QR Hypergraphs 5 / 10

20 Hypergraphs Let V be a set of vertices, and E be a set of hyperedges. A hypergraph (V, E) is r-uniform if all hyperedges have cardinality r. Our example: r = [ ] k k δ. q The degree deg(v) of a vertex v is the number of hyperedges containing v. The hypergraph (V, E) is d-regular if deg(v) = d for all v V. Our example: d = [ ] l k+δ δ q (large). The codegree codeg(u, v) of a pair of vertices is the number of hyperedges containing both u and v. Our example: number of k-dim subspaces containing u and v; small compared to degree. Simon R. Blackburn (RHUL) Grassmannians and QR Hypergraphs 5 / 10

21 Covers and packings of hypergraphs Suppose we have a large r-uniform d-regular hypergraph Γ. Suppose the codegree of a pair of vertices is always much smaller than d. Then there is a covering of the vertices by hyperedges that is about as small as we could hope for (about V /r hyperedges). Similarly there is a large hyperedge packing. Simon R. Blackburn (RHUL) Grassmannians and QR Hypergraphs 6 / 10

22 Covers and packings of hypergraphs Suppose we have a large r-uniform d-regular hypergraph Γ. Suppose the codegree of a pair of vertices is always much smaller than d. Then there is a covering of the vertices by hyperedges that is about as small as we could hope for (about V /r hyperedges). Similarly there is a large hyperedge packing. Theorem (Rödl) Fix an integer r and a positive real number δ. Then there exists an integer n 0 and a positive real number δ with the following property. Let Γ be an r-uniform hypergraph on n vertices, where n n 0. Suppose that all vertices of Γ have degree d for some integer d. Let c = max codeg(u, v), where the maximum is taken over all pairs of distinct vertices u, v Γ. If c δ d, then there exists a hyperedge cover consisting of at most (1 + δ)n/r hyperedges, and a hyperedge packing consisting of at least (1 δ)n/r hyperedges. Simon R. Blackburn (RHUL) Grassmannians and QR Hypergraphs 6 / 10

23 An existence result Theorem (SRB Etzion 2012) Let q, k and δ be fixed integers, with 0 δ k and such that q is a prime power. Then ] as l. A q (l, 2δ + 2, k) [ l k δ q [ k ] k δ q (1) Simon R. Blackburn (RHUL) Grassmannians and QR Hypergraphs 7 / 10

24 An existence result Theorem (SRB Etzion 2012) Let q, k and δ be fixed integers, with 0 δ k and such that q is a prime power. Then ] as l. A q (l, 2δ + 2, k) [ l k δ q [ k ] k δ q (1) Proof. Upper bound from packing bound. Lower bound from Rödl s theorem on quasirandom hypergraphs. Simon R. Blackburn (RHUL) Grassmannians and QR Hypergraphs 7 / 10

25 An existence result Theorem (SRB Etzion 2012) Let q, k and δ be fixed integers, with 0 δ k and such that q is a prime power. Then ] as l. A q (l, 2δ + 2, k) [ l k δ q [ k ] k δ q (1) Proof. Upper bound from packing bound. Lower bound from Rödl s theorem on quasirandom hypergraphs. Explicit families are within a constant of the optimal size. Examples due to Koetter and Kschischang; larger codes by generalising these due to Etzion and Silberstein. Simon R. Blackburn (RHUL) Grassmannians and QR Hypergraphs 7 / 10

26 k-radius sequences A 5-ary 2-radius sequence of length 7 is: 0, 1, 2, 3, 4, 0, 1 Simon R. Blackburn (RHUL) Grassmannians and QR Hypergraphs 8 / 10

27 k-radius sequences A 5-ary 2-radius sequence of length 7 is: 0, 1, 2, 3, 4, 0, 1 Definition (Jaromczyk, Lonc 2004) Let F = {0, 1,..., n 1}. An n-ary k-radius sequence is a finite sequence a 0, a 1,..., a m 1 over the alphabet F with the following property: For all x, y F, there exist i, j {0, 1,..., m 1} such that a i = x, a j = y and i j k. Simon R. Blackburn (RHUL) Grassmannians and QR Hypergraphs 8 / 10

28 Another existence result Let f k (q) be the shortest q-ary k-radius sequence. Simon R. Blackburn (RHUL) Grassmannians and QR Hypergraphs 9 / 10

29 Another existence result Let f k (q) be the shortest q-ary k-radius sequence. Theorem (SRB 2012) Let k be fixed and q. Then f k (q) 1 k ( ) q 2 Simon R. Blackburn (RHUL) Grassmannians and QR Hypergraphs 9 / 10

30 Another existence result Let f k (q) be the shortest q-ary k-radius sequence. Theorem (SRB 2012) Let k be fixed and q. Then f k (q) 1 k ( ) q 2 Proof. Upper bound: every position can be the left-hand entry of at most k pairs. Simon R. Blackburn (RHUL) Grassmannians and QR Hypergraphs 9 / 10

31 Another existence result Let f k (q) be the shortest q-ary k-radius sequence. Theorem (SRB 2012) Let k be fixed and q. Then f k (q) 1 k ( ) q 2 Proof. Upper bound: every position can be the left-hand entry of at most k pairs. Lower bound: from quasirandom hypergraph argument. Simon R. Blackburn (RHUL) Grassmannians and QR Hypergraphs 9 / 10

32 Another existence result Let f k (q) be the shortest q-ary k-radius sequence. Theorem (SRB 2012) Let k be fixed and q. Then f k (q) 1 k ( ) q 2 Proof. Upper bound: every position can be the left-hand entry of at most k pairs. Lower bound: from quasirandom hypergraph argument. Remark: Jaromczyk,Lonc,Truszczyński (2012) have recently given an explicit asymptotically tight construction. Simon R. Blackburn (RHUL) Grassmannians and QR Hypergraphs 9 / 10

33 Some Links This talk will appear soon on my home page: S.R. Blackburn and T. Etzion, The asymptotic behavior of Grassmannian codes, IEEE Trans. Information Theory, to appear. See: S.R. Blackburn, The existence of k-radius sequences, J. Comb. Theory - Series A, Vol. 119 (2012), pp See: Simon R. Blackburn (RHUL) Grassmannians and QR Hypergraphs 10 / 10

Distinct Difference Configurations

Distinct Difference Configurations Distinct Difference Configurations Simon R. Blackburn Joint work with: Tuvi Etzion, Keith M. Martin, Maura B. Paterson Royal Holloway, University of London 16th July 009 S.R. Blackburn (RHUL) Distinct

More information

Distinct difference configurations and Wireless Sensor Networks

Distinct difference configurations and Wireless Sensor Networks Distinct difference configurations and Wireless Sensor Networks Simon R. Blackburn Joint work with: Tuvi Etzion, Keith M. Martin, Maura B. Paterson Royal Holloway, University of London 12th May 2009 S.R.

More information

Codes and Designs in the Grassmann Scheme

Codes and Designs in the Grassmann Scheme Codes and Designs in the Grassmann Scheme Tuvi Etzion Computer Science Department Technion -Israel Institute of Technology etzion@cs.technion.ac.il ALGEBRAIC COMBINATORICS AND APPLICATIONS ALCOMA10, Thurnau,

More information

On Linear Subspace Codes Closed under Intersection

On Linear Subspace Codes Closed under Intersection On Linear Subspace Codes Closed under Intersection Pranab Basu Navin Kashyap Abstract Subspace codes are subsets of the projective space P q(n), which is the set of all subspaces of the vector space F

More information

Asymptotic bounds for the sizes of constant dimension codes and an improved lower bound

Asymptotic bounds for the sizes of constant dimension codes and an improved lower bound Asymptotic bounds for the sizes of constant dimension codes and an improved lower bound 5th ICMCTA Vihula Manor, 28-31 August 2017 Daniel Heinlein University of Bayreuth, Germany Daniel.Heinlein@uni-bayreuth.de

More information

Cryptanalysis of the Algebraic Eraser

Cryptanalysis of the Algebraic Eraser Cryptanalysis of the Algebraic Eraser Simon R. Blackburn Royal Holloway University of London 9th June 2016 Simon R. Blackburn (RHUL) The Algebraic Eraser 1 / 14 Diffie-Hellman key exchange Alice and Bob

More information

LET F q be the finite field of size q. For two k l matrices

LET F q be the finite field of size q. For two k l matrices 1 Codes and Designs Related to Lifted MRD Codes Tuvi Etzion, Fellow, IEEE and Natalia Silberstein arxiv:1102.2593v5 [cs.it 17 ug 2012 bstract Lifted maximum ran distance (MRD) codes, which are constant

More information

ATLANTA LECTURE SERIES In Combinatorics and Graph Theory (XIX)

ATLANTA LECTURE SERIES In Combinatorics and Graph Theory (XIX) ATLANTA LECTURE SERIES In Combinatorics and Graph Theory (XIX) April 22-23, 2017 GEORGIA STATE UNIVERSITY Department of Mathematics and Statistics Sponsored by National Security Agency and National Science

More information

Enumerative Encoding in the Grassmannian Space

Enumerative Encoding in the Grassmannian Space Enumerative Encoding in the Grassmannian Space Natalia Silberstein Department of omputer Science Technion-Israel Institute of Technology Haifa 3 Israel Email: natalys@cstechnionacil Tuvi Etzion Department

More information

Sunflowers and Primitive SCIDs

Sunflowers and Primitive SCIDs (joint work with R.D. Barrolleta, L. Storme and E. Suárez-Canedo) July 15, 2016 (joint work with R.D. Barrolleta, L. Storme and E. Suárez-Canedo) Definitions Background 1 Definitions Background 2 Subspace

More information

A Singleton Bound for Lattice Schemes

A Singleton Bound for Lattice Schemes 1 A Singleton Bound for Lattice Schemes Srikanth B. Pai, B. Sundar Rajan, Fellow, IEEE Abstract arxiv:1301.6456v4 [cs.it] 16 Jun 2015 In this paper, we derive a Singleton bound for lattice schemes and

More information

Sequential and Dynamic Frameproof Codes

Sequential and Dynamic Frameproof Codes Sequential and Dynamic Frameproof Codes Maura Paterson m.b.paterson@rhul.ac.uk Department of Mathematics Royal Holloway, University of London Egham, Surrey TW20 0EX Abstract There are many schemes in the

More information

Matchings in hypergraphs of large minimum degree

Matchings in hypergraphs of large minimum degree Matchings in hypergraphs of large minimum degree Daniela Kühn Deryk Osthus Abstract It is well known that every bipartite graph with vertex classes of size n whose minimum degree is at least n/2 contains

More information

arxiv: v1 [cs.it] 25 Mar 2010

arxiv: v1 [cs.it] 25 Mar 2010 LARGE CONSTANT DIMENSION CODES AND LEXICODES arxiv:1003.4879v1 [cs.it] 25 Mar 2010 Natalia Silberstein Computer Science Department Technion - Israel Institute of Technology Haifa, Israel, 32000 Tuvi Etzion

More information

Constructing c-ary Perfect Factors

Constructing c-ary Perfect Factors Constructing c-ary Perfect Factors Chris J. Mitchell Computer Science Department Royal Holloway University of London Egham Hill Egham Surrey TW20 0EX England. Tel.: +44 784 443423 Fax: +44 784 443420 Email:

More information

arxiv: v1 [math.co] 2 Dec 2013

arxiv: v1 [math.co] 2 Dec 2013 What is Ramsey-equivalent to a clique? Jacob Fox Andrey Grinshpun Anita Liebenau Yury Person Tibor Szabó arxiv:1312.0299v1 [math.co] 2 Dec 2013 November 4, 2018 Abstract A graph G is Ramsey for H if every

More information

R u t c o r Research R e p o r t. Uniform partitions and Erdös-Ko-Rado Theorem a. Vladimir Gurvich b. RRR , August, 2009

R u t c o r Research R e p o r t. Uniform partitions and Erdös-Ko-Rado Theorem a. Vladimir Gurvich b. RRR , August, 2009 R u t c o r Research R e p o r t Uniform partitions and Erdös-Ko-Rado Theorem a Vladimir Gurvich b RRR 16-2009, August, 2009 RUTCOR Rutgers Center for Operations Research Rutgers University 640 Bartholomew

More information

Honeycomb arrays. Simon R. Blackburn Anastasia Panoui Maura B. Paterson and Douglas R. Stinson. November 2, 2018

Honeycomb arrays. Simon R. Blackburn Anastasia Panoui Maura B. Paterson and Douglas R. Stinson. November 2, 2018 Honeycomb arrays arxiv:0911.2384v1 [math.co] 12 Nov 2009 Simon R. Blackburn Anastasia Panoui Maura B. Paterson and Douglas R. Stinson November 2, 2018 Abstract A honeycomb array is an analogue of a Costas

More information

Containment restrictions

Containment restrictions Containment restrictions Tibor Szabó Extremal Combinatorics, FU Berlin, WiSe 207 8 In this chapter we switch from studying constraints on the set operation intersection, to constraints on the set relation

More information

Honeycomb Arrays. Anastasia Panoui Maura B. Paterson Douglas R. Stinson

Honeycomb Arrays. Anastasia Panoui Maura B. Paterson Douglas R. Stinson Honeycomb Arrays Simon R. Blackburn Anastasia Panoui Maura B. Paterson Douglas R. Stinson Submitted: Nov 12, 2009; Accepted: Nov 17, 2010; Published: Dec 10, 2010 Mathematics Subject Classification: 05B30

More information

Generalized hashing and applications to digital fingerprinting

Generalized hashing and applications to digital fingerprinting Generalized hashing and applications to digital fingerprinting Noga Alon, Gérard Cohen, Michael Krivelevich and Simon Litsyn Abstract Let C be a code of length n over an alphabet of q letters. An n-word

More information

Packing k-partite k-uniform hypergraphs

Packing k-partite k-uniform hypergraphs Available online at www.sciencedirect.com Electronic Notes in Discrete Mathematics 38 (2011) 663 668 www.elsevier.com/locate/endm Packing k-partite k-uniform hypergraphs Richard Mycroft 1 School of Mathematical

More information

BIROn - Birkbeck Institutional Research Online

BIROn - Birkbeck Institutional Research Online BIROn - Birkbeck Institutional Research Online Enabling open access to Birkbeck s published research output Sliding-window dynamic frameproof codes Journal Article http://eprints.bbk.ac.uk/5366 Version:

More information

arxiv: v1 [cs.it] 2 Jul 2016

arxiv: v1 [cs.it] 2 Jul 2016 Fifteenth International Workshop on Algebraic and Combinatorial Coding Theory June 18-24, 2016, Albena, Bulgaria pp. 145 150 On a Hypergraph Approach to Multistage Group Testing Problems 1 arxiv:1607.00511v1

More information

Fundamentals of Coding For Network Coding

Fundamentals of Coding For Network Coding Fundamentals of Coding For Network Coding Marcus Greferath and Angeles Vazquez-Castro Aalto University School of Sciences, Finland Autonomous University of Barcelona, Spain marcus.greferath@aalto.fi and

More information

The Chromatic Symmetric Function: Hypergraphs and Beyond

The Chromatic Symmetric Function: Hypergraphs and Beyond The : Hypergraphs and Beyond arxiv:6.0969 Department of Mathematics Michigan State University Graduate Student Combinatorics Conference, April 07 Outline Introducing the chromatic symmetric function Definition

More information

Vertex colorings of graphs without short odd cycles

Vertex colorings of graphs without short odd cycles Vertex colorings of graphs without short odd cycles Andrzej Dudek and Reshma Ramadurai Department of Mathematical Sciences Carnegie Mellon University Pittsburgh, PA 1513, USA {adudek,rramadur}@andrew.cmu.edu

More information

Tight minimum degree conditions forcing perfect matchings in. matchings in uniform hypergraphs

Tight minimum degree conditions forcing perfect matchings in. matchings in uniform hypergraphs Tight minimum degree conditions forcing perfect matchings in uniform hypergraphs University of Birmingham 11th September 013 Joint work with Yi Zhao (Georgia State Advertisement: Birmingham Fellowship

More information

Derived and Residual Subspace Designs

Derived and Residual Subspace Designs Derived and Residual Subspace Designs Michael Kiermaier, Reinhard Laue Universität Bayreuth, michael.kiermaier@uni-bayreuth.de, laue@uni-bayreuth.de Abstract A generalization of forming derived and residual

More information

New Constructions for De Bruijn Tori

New Constructions for De Bruijn Tori New Constructions for De Bruijn Tori Glenn Hurlbert Garth Isaak Dedicated to the memory of Tony Brewster Abstract A De Bruijn torus is a periodic d dimensional k ary array such that each n 1 n d k ary

More information

Hypergraph Matching by Linear and Semidefinite Programming. Yves Brise, ETH Zürich, Based on 2010 paper by Chan and Lau

Hypergraph Matching by Linear and Semidefinite Programming. Yves Brise, ETH Zürich, Based on 2010 paper by Chan and Lau Hypergraph Matching by Linear and Semidefinite Programming Yves Brise, ETH Zürich, 20110329 Based on 2010 paper by Chan and Lau Introduction Vertex set V : V = n Set of hyperedges E Hypergraph matching:

More information

Strange Combinatorial Connections. Tom Trotter

Strange Combinatorial Connections. Tom Trotter Strange Combinatorial Connections Tom Trotter Georgia Institute of Technology trotter@math.gatech.edu February 13, 2003 Proper Graph Colorings Definition. A proper r- coloring of a graph G is a map φ from

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

Constructing network codes using Möbius transformations

Constructing network codes using Möbius transformations Constructing network codes using Möbius transformations Andreas-Stephan Elsenhans and Axel Kohnert November 26, 2010 Abstract We study error correcting constant dimension subspace codes for network coding.

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

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

< k 2n. 2 1 (n 2). + (1 p) s) N (n < 1

< k 2n. 2 1 (n 2). + (1 p) s) N (n < 1 List of Problems jacques@ucsd.edu Those question with a star next to them are considered slightly more challenging. Problems 9, 11, and 19 from the book The probabilistic method, by Alon and Spencer. Question

More information

On designs and Steiner systems over finite fields

On designs and Steiner systems over finite fields On designs and Steiner systems over finite fields Alfred Wassermann Department of Mathematics, Universität Bayreuth, Germany Special Days on Combinatorial Construction Using Finite Fields, Linz 2013 Outline

More information

TABLES OF SUBSPACE CODES

TABLES OF SUBSPACE CODES TABLES OF SUBSPACE CODES DANIEL HEINLEIN, MICHAEL KIERMAIER, SASCHA KURZ, AND ALFRED WASSERMANN ABSTRACT. The main problem of subspace coding asks for the maximum possible cardinality of a subspace code

More information

Groups of Prime Power Order with Derived Subgroup of Prime Order

Groups of Prime Power Order with Derived Subgroup of Prime Order Journal of Algebra 219, 625 657 (1999) Article ID jabr.1998.7909, available online at http://www.idealibrary.com on Groups of Prime Power Order with Derived Subgroup of Prime Order Simon R. Blackburn*

More information

Errata for Introductory Combinatorics, 4th edition Author: Richard A. Brualdi

Errata for Introductory Combinatorics, 4th edition Author: Richard A. Brualdi Errata for Introductory Combinatorics, 4th edition Author: Richard A Brualdi 1 Page ix, line 8 (Preface): Louis Deaett 2 Page 43, line 6-7 (Exercise 28): What is the smallest sum a 1 + a 2 + + a 100 that

More information

4 - Moore Graphs. Jacques Verstraëte

4 - Moore Graphs. Jacques Verstraëte 4 - Moore Graphs Jacques erstraëte jacques@ucsd.edu 1 Introduction In these notes, we focus on the problem determining the maximum number of edges in an n-vertex graph that does not contain short cycles.

More information

c 2010 Society for Industrial and Applied Mathematics

c 2010 Society for Industrial and Applied Mathematics SIAM J. DISCRETE MATH. Vol. 24, No. 3, pp. 1038 1045 c 2010 Society for Industrial and Applied Mathematics SET SYSTEMS WITHOUT A STRONG SIMPLEX TAO JIANG, OLEG PIKHURKO, AND ZELEALEM YILMA Abstract. A

More information

Two-Dimensional Patterns with Distinct Differences Constructions, Bounds, and Maximal Anticodes

Two-Dimensional Patterns with Distinct Differences Constructions, Bounds, and Maximal Anticodes 1 Two-Dimensional Patterns with Distinct Differences Constructions, Bounds, and Maximal Anticodes Simon R. Blackburn, Tuvi Etzion, Keith M. Martin and Maura B. Paterson Abstract A two-dimensional grid

More information

Decomposing oriented graphs into transitive tournaments

Decomposing oriented graphs into transitive tournaments Decomposing oriented graphs into transitive tournaments Raphael Yuster Department of Mathematics University of Haifa Haifa 39105, Israel Abstract For an oriented graph G with n vertices, let f(g) denote

More information

Codegree problems for projective geometries

Codegree problems for projective geometries Codegree problems for projective geometries Peter Keevash Yi Zhao Abstract The codegree density γ(f ) of an r-graph F is the largest number γ such that there are F -free r-graphs G on n vertices such that

More information

On the Approximability of Partial VC Dimension

On the Approximability of Partial VC Dimension On the Approximability of Partial VC Dimension Cristina Bazgan 1 Florent Foucaud 2 Florian Sikora 1 1 LAMSADE, Université Paris Dauphine, CNRS France 2 LIMOS, Université Blaise Pascal, Clermont-Ferrand

More information

A Combinatorial Bound on the List Size

A Combinatorial Bound on the List Size 1 A Combinatorial Bound on the List Size Yuval Cassuto and Jehoshua Bruck California Institute of Technology Electrical Engineering Department MC 136-93 Pasadena, CA 9115, U.S.A. E-mail: {ycassuto,bruck}@paradise.caltech.edu

More information

Optimal Linear Perfect Hash Families

Optimal Linear Perfect Hash Families Journal of Combinatorial Theory, Series A 83, 233250 (1998) Article No. TA982876 Optimal Linear Perfect Hash Families Simon R. Blackburn* and Peter R. Wild Department of Mathematics, Royal Holloway, University

More information

Uniform Coloured Hypergraphs and Blocking Sets

Uniform Coloured Hypergraphs and Blocking Sets Applied Mathematical Sciences, Vol. 7, 2013, no. 91, 4535-4548 HIKARI Ltd, www.m-hikari.com http://dx.doi.org/10.12988/ams.2013.36312 Uniform Coloured Hypergraphs and Blocking Sets Mario Gionfriddo Dipartimento

More information

The Minimal Rank Problem for Finite Fields. Wayne Barrett (BYU) Hein van der Holst (Eindhoven) Raphael Loewy (Technion) Don March (BYU)

The Minimal Rank Problem for Finite Fields. Wayne Barrett (BYU) Hein van der Holst (Eindhoven) Raphael Loewy (Technion) Don March (BYU) The Minimal Rank Problem for Finite Fields Wayne Barrett (BYU) Hein van der Holst (Eindhoven) Raphael Loewy (Technion) Don March (BYU) 12th ILAS Meeting - Regina June 26-29, 2005 References [BvdHL1] Barrett,

More information

Colorings of uniform hypergraphs with large girth

Colorings of uniform hypergraphs with large girth Colorings of uniform hypergraphs with large girth Andrey Kupavskii, Dmitry Shabanov Lomonosov Moscow State University, Moscow Institute of Physics and Technology, Yandex SIAM conference on Discrete Mathematics

More information

On Siegel s lemma outside of a union of varieties. Lenny Fukshansky Claremont McKenna College & IHES

On Siegel s lemma outside of a union of varieties. Lenny Fukshansky Claremont McKenna College & IHES On Siegel s lemma outside of a union of varieties Lenny Fukshansky Claremont McKenna College & IHES Universität Magdeburg November 9, 2010 1 Thue and Siegel Let Ax = 0 (1) be an M N linear system of rank

More information

Algebraic Methods in Combinatorics

Algebraic Methods in Combinatorics Algebraic Methods in Combinatorics Po-Shen Loh 27 June 2008 1 Warm-up 1. (A result of Bourbaki on finite geometries, from Răzvan) Let X be a finite set, and let F be a family of distinct proper subsets

More information

Inverse Perron values and connectivity of a uniform hypergraph

Inverse Perron values and connectivity of a uniform hypergraph Inverse Perron values and connectivity of a uniform hypergraph Changjiang Bu College of Automation College of Science Harbin Engineering University Harbin, PR China buchangjiang@hrbeu.edu.cn Jiang Zhou

More information

Sphere Packings, Coverings and Lattices

Sphere Packings, Coverings and Lattices Sphere Packings, Coverings and Lattices Anja Stein Supervised by: Prof Christopher Smyth September, 06 Abstract This article is the result of six weeks of research for a Summer Project undertaken at the

More information

Section 4.1 The Power Method

Section 4.1 The Power Method Section 4.1 The Power Method Key terms Dominant eigenvalue Eigenpair Infinity norm and 2-norm Power Method Scaled Power Method Power Method for symmetric matrices The notation used varies a bit from that

More information

Propositional Logic. What is discrete math? Tautology, equivalence, and inference. Applications

Propositional Logic. What is discrete math? Tautology, equivalence, and inference. Applications What is discrete math? Propositional Logic The real numbers are continuous in the senses that: between any two real numbers there is a real number The integers do not share this property. In this sense

More information

Practice General Test # 4 with Answers and Explanations. Large Print (18 point) Edition

Practice General Test # 4 with Answers and Explanations. Large Print (18 point) Edition GRADUATE RECORD EXAMINATIONS Practice General Test # 4 with Answers and Explanations Large Print (18 point) Edition Section 5 Quantitative Reasoning Section 6 Quantitative Reasoning Copyright 2012 by Educational

More information

Decomposing Bent Functions

Decomposing Bent Functions 2004 IEEE TRANSACTIONS ON INFORMATION THEORY, VOL. 49, NO. 8, AUGUST 2003 Decomposing Bent Functions Anne Canteaut and Pascale Charpin Abstract In a recent paper [1], it is shown that the restrictions

More information

THIS paper is aimed at designing efficient decoding algorithms

THIS paper is aimed at designing efficient decoding algorithms IEEE TRANSACTIONS ON INFORMATION THEORY, VOL. 45, NO. 7, NOVEMBER 1999 2333 Sort-and-Match Algorithm for Soft-Decision Decoding Ilya Dumer, Member, IEEE Abstract Let a q-ary linear (n; k)-code C be used

More information

Monochromatic tree covers and Ramsey numbers for set-coloured graphs

Monochromatic tree covers and Ramsey numbers for set-coloured graphs Monochromatic tree covers and Ramsey numbers for set-coloured graphs Sebastián Bustamante and Maya Stein Department of Mathematical Engineering University of Chile August 31, 2017 Abstract We consider

More information

The Impact of Network Coding on Mathematics

The Impact of Network Coding on Mathematics The Impact of Network Coding on Mathematics Eimear Byrne University College Dublin DIMACS Workshop on Network Coding: the Next 15 Years Dec 15-17, 2015 Random Network Coding and Designs Over GF (q) COST

More information

Brand identity guidelines

Brand identity guidelines Brand identity guidelines For Member Networks, September 2013 Introduction The Royal Society of Chemistry is the world s leading chemistry community, advancing excellence in the chemical sciences. We re

More information

The University of Melbourne Department of Mathematics and Statistics School Mathematics Competition, 2016 INTERMEDIATE DIVISION: SOLUTIONS

The University of Melbourne Department of Mathematics and Statistics School Mathematics Competition, 2016 INTERMEDIATE DIVISION: SOLUTIONS The University of Melbourne Department of Mathematics and Statistics School Mathematics Competition, 2016 INTERMEDIATE DIVISION: SOLUTIONS (1) In the following sum substitute each letter for a different

More information

Low-Power Cooling Codes with Efficient Encoding and Decoding

Low-Power Cooling Codes with Efficient Encoding and Decoding Low-Power Cooling Codes with Efficient Encoding and Decoding Yeow Meng Chee, Tuvi Etzion, Han Mao Kiah, Alexander Vardy, Hengjia Wei School of Physical and Mathematical Sciences, Nanyang Technological

More information

Optimal Ramp Schemes and Related Combinatorial Objects

Optimal Ramp Schemes and Related Combinatorial Objects Optimal Ramp Schemes and Related Combinatorial Objects Douglas R. Stinson David R. Cheriton School of Computer Science University of Waterloo BCC 2017, Glasgow, July 3 7, 2017 1 / 18 (t, n)-threshold Schemes

More information

RANDOM GRAPHS AND QUASI-RANDOM GRAPHS: AN INTRODUCTION

RANDOM GRAPHS AND QUASI-RANDOM GRAPHS: AN INTRODUCTION Trends in Mathematics Information Center for Mathematical Sciences Volume, Number 1, June 001, Pages 101 107 RANDOM GRAPHS AND QUASI-RANDOM GRAPHS: AN INTRODUCTION CHANGWOO LEE Abstract. This article is

More information

SHORT PATHS IN 3-UNIFORM QUASI-RANDOM HYPERGRAPHS. Joanna Polcyn. Department of Discrete Mathematics Adam Mickiewicz University

SHORT PATHS IN 3-UNIFORM QUASI-RANDOM HYPERGRAPHS. Joanna Polcyn. Department of Discrete Mathematics Adam Mickiewicz University Discussiones Mathematicae Graph Theory 24 (2004 ) 469 484 SHORT PATHS IN 3-UNIFORM QUASI-RANDOM HYPERGRAPHS Joanna Polcyn Department of Discrete Mathematics Adam Mickiewicz University Poznań e-mail: joaska@amu.edu.pl

More information

Extending and lengthening BCH-codes

Extending and lengthening BCH-codes Extending and lengthening BCH-codes Jürgen Bierbrauer Department of Mathematical Sciences Michigan Technological University Houghton, Michigan 49931 (USA) Yves Edel Mathematisches Institut der Universität

More information

Dominating a family of graphs with small connected subgraphs

Dominating a family of graphs with small connected subgraphs Dominating a family of graphs with small connected subgraphs Yair Caro Raphael Yuster Abstract Let F = {G 1,..., G t } be a family of n-vertex graphs defined on the same vertex-set V, and let k be a positive

More information

Multicolour Ramsey Numbers of Odd Cycles

Multicolour Ramsey Numbers of Odd Cycles Multicolour Ramsey Numbers of Odd Cycles JOHNSON, JR; Day, A 2017 Elsevier Inc This is a pre-copyedited, author-produced PDF of an article accepted for publication in Journal of Combinatorial Theory, Series

More information

Understanding the bounds for the chromatic number of the Erdős-Rényi graph and its subgraphs

Understanding the bounds for the chromatic number of the Erdős-Rényi graph and its subgraphs E.M. de Deckere Understanding the bounds for the chromatic number of the Erdős-Rényi graph and its subgraphs Master thesis, defended on August 25, 2009 Thesis advisors: Dr. Ir. Ing. M.J.P. Peeters (UvT),

More information

AALBORG UNIVERSITY. Total domination in partitioned graphs. Allan Frendrup, Preben Dahl Vestergaard and Anders Yeo

AALBORG UNIVERSITY. Total domination in partitioned graphs. Allan Frendrup, Preben Dahl Vestergaard and Anders Yeo AALBORG UNIVERSITY Total domination in partitioned graphs by Allan Frendrup, Preben Dahl Vestergaard and Anders Yeo R-2007-08 February 2007 Department of Mathematical Sciences Aalborg University Fredrik

More information

Decoding Perfect Maps

Decoding Perfect Maps Decoding Perfect Maps Chris J. Mitchell Kenneth G. Paterson 19th March 1993 Abstract Perfect Maps are two-dimensional arrays in which every possible sub-array of a certain size occurs exactly once. They

More information

GRAY codes were found by Gray [15] and introduced

GRAY codes were found by Gray [15] and introduced IEEE TRANSACTIONS ON INFORMATION THEORY, VOL 45, NO 7, NOVEMBER 1999 2383 The Structure of Single-Track Gray Codes Moshe Schwartz Tuvi Etzion, Senior Member, IEEE Abstract Single-track Gray codes are cyclic

More information

Fundamental Algorithms 11

Fundamental Algorithms 11 Technische Universität München WS 2013/14 Institut für Informatik Worksheet Scientific Computing in Computer Science 20.01.2014 Fundamental Algorithms 11 Exercise 1 Hypergraphs A hypergraph extends the

More information

ON THE NUMBER OF ALTERNATING PATHS IN BIPARTITE COMPLETE GRAPHS

ON THE NUMBER OF ALTERNATING PATHS IN BIPARTITE COMPLETE GRAPHS ON THE NUMBER OF ALTERNATING PATHS IN BIPARTITE COMPLETE GRAPHS PATRICK BENNETT, ANDRZEJ DUDEK, ELLIOT LAFORGE December 1, 016 Abstract. Let C [r] m be a code such that any two words of C have Hamming

More information

A MOORE BOUND FOR SIMPLICIAL COMPLEXES

A MOORE BOUND FOR SIMPLICIAL COMPLEXES Bull. London Math. Soc. 39 (2007) 353 358 C 2007 London Mathematical Society doi:10.1112/blms/bdm003 A MOORE BOUND FOR SIMPLICIAL COMPLEXES ALEXANDER LUBOTZKY and ROY MESHULAM Abstract Let X be a d-dimensional

More information

Generell Topologi. Richard Williamson. May 6, 2013

Generell Topologi. Richard Williamson. May 6, 2013 Generell Topologi Richard Williamson May 6, 2013 1 5 Tuesday 29th January 5.1 Limits points, closure, boundary continued Definition 5.1. Let (X, O X ) be a topological space, and let A be a subset of X.

More information

Improved Upper Bounds on Sizes of Codes

Improved Upper Bounds on Sizes of Codes 880 IEEE TRANSACTIONS ON INFORMATION THEORY, VOL. 48, NO. 4, APRIL 2002 Improved Upper Bounds on Sizes of Codes Beniamin Mounits, Tuvi Etzion, Senior Member, IEEE, and Simon Litsyn, Senior Member, IEEE

More information

Applications of Semidefinite Programming to Coding Theory

Applications of Semidefinite Programming to Coding Theory Applications of Semidefinite Programming to Coding Theory Christine Bachoc Institut de Mathématiques de Bordeaux Université Bordeaux 1 351, cours de la Libération, 33405 Talence, France Email: {christine.bachoc}@math.u-bordeaux1.fr

More information

Coding for Errors and Erasures in Random Network Coding

Coding for Errors and Erasures in Random Network Coding Coding for Errors and Erasures in Random Network Coding arxiv:cs/0703061v2 [cs.it] 25 Mar 2008 Ralf Kötter Institute for Communications Engineering TU Munich D-80333 Munich ralf.koetter@tum.de Frank R.

More information

arxiv: v2 [math.co] 6 Apr 2016

arxiv: v2 [math.co] 6 Apr 2016 On the chromatic number of Latin square graphs Nazli Besharati a, Luis Goddyn b, E.S. Mahmoodian c, M. Mortezaeefar c arxiv:1510.051v [math.co] 6 Apr 016 a Department of Mathematical Sciences, Payame Noor

More information

Maximum union-free subfamilies

Maximum union-free subfamilies Maximum union-free subfamilies Jacob Fox Choongbum Lee Benny Sudakov Abstract An old problem of Moser asks: how large of a union-free subfamily does every family of m sets have? A family of sets is called

More information

TRANSCENDENTAL NUMBERS AND PERIODS. Contents

TRANSCENDENTAL NUMBERS AND PERIODS. Contents TRANSCENDENTAL NUMBERS AND PERIODS JAMES CARLSON Contents. Introduction.. Diophantine approximation I: upper bounds 2.2. Diophantine approximation II: lower bounds 4.3. Proof of the lower bound 5 2. Periods

More information

Cambridge International Examinations Cambridge International General Certificate of Secondary Education

Cambridge International Examinations Cambridge International General Certificate of Secondary Education Cambridge International Examinations Cambridge International General Certificate of Secondary Education * 9 1 1 9 9 9 9 1 * ADDITIONAL MATHEMATICS 0606/1 Paper May/June 016 hours Candidates answer on the

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

Running time predictions for square products, and large prime variations. Ernie Croot, Andrew Granville, Robin Pemantle, & Prasad Tetali

Running time predictions for square products, and large prime variations. Ernie Croot, Andrew Granville, Robin Pemantle, & Prasad Tetali Running time predictions for square products, and large prime variations by Ernie Croot, Andrew Granville, Robin Pemantle, & Prasad Tetali Factoring algorithms Dixon s random squares algorithm The quadratic

More information

Thermal-Management Coding for High-Performance Interconnects

Thermal-Management Coding for High-Performance Interconnects Cooling Codes Thermal-Management Coding for High-Performance Interconnects Han Mao Kiah, Nanyang Technological University, Singapore Joint work with: Yeow Meng Chee, Nanyang Technological University Tuvi

More information

Constructions of digital nets using global function fields

Constructions of digital nets using global function fields ACTA ARITHMETICA 105.3 (2002) Constructions of digital nets using global function fields by Harald Niederreiter (Singapore) and Ferruh Özbudak (Ankara) 1. Introduction. The theory of (t, m, s)-nets and

More information

THE MAXIMUM SIZE OF A PARTIAL 3-SPREAD IN A FINITE VECTOR SPACE OVER GF (2)

THE MAXIMUM SIZE OF A PARTIAL 3-SPREAD IN A FINITE VECTOR SPACE OVER GF (2) THE MAXIMUM SIZE OF A PARTIAL 3-SPREAD IN A FINITE VECTOR SPACE OVER GF (2) S. EL-ZANATI, H. JORDON, G. SEELINGER, P. SISSOKHO, AND L. SPENCE 4520 MATHEMATICS DEPARTMENT ILLINOIS STATE UNIVERSITY NORMAL,

More information

The Number of Independent Sets in a Regular Graph

The Number of Independent Sets in a Regular Graph Combinatorics, Probability and Computing (2010) 19, 315 320. c Cambridge University Press 2009 doi:10.1017/s0963548309990538 The Number of Independent Sets in a Regular Graph YUFEI ZHAO Department of Mathematics,

More information

Trades in complex Hadamard matrices

Trades in complex Hadamard matrices Trades in complex Hadamard matrices Padraig Ó Catháin Ian M. Wanless School of Mathematical Sciences, Monash University, VIC 3800, Australia. February 9, 2015 Abstract A trade in a complex Hadamard matrix

More information

Ewan Davies Counting in hypergraphs via regularity inheritance

Ewan Davies Counting in hypergraphs via regularity inheritance Ewan Davies Counting in hypergraphs via regularity inheritance Article (Accepted version) (Refereed) Original citation: Davies, Ewan (2015) Counting in hypergraphs via regularity inheritance. Electronic

More information

www.onlineexamhelp.com Cambridge International Examinations Cambridge Ordinary Level * 8 1 7 5 4 1 1 5 7 3 * MATHEMATICS (SYLLABUS D) 4024/21 Paper 2 October/November 2014 Candidates answer on the Question

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

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

GLOBAL MINUS DOMINATION IN GRAPHS. Communicated by Manouchehr Zaker. 1. Introduction

GLOBAL MINUS DOMINATION IN GRAPHS. Communicated by Manouchehr Zaker. 1. Introduction Transactions on Combinatorics ISSN (print): 2251-8657, ISSN (on-line): 2251-8665 Vol. 3 No. 2 (2014), pp. 35-44. c 2014 University of Isfahan www.combinatorics.ir www.ui.ac.ir GLOBAL MINUS DOMINATION IN

More information

EULER TOURS IN HYPERGRAPHS

EULER TOURS IN HYPERGRAPHS EULER TOURS IN HYPERGRAPHS STEFAN GLOCK, FELIX JOOS, DANIELA KÜHN, AND DERYK OSTHUS Abstract. We show that a quasirandom k-uniform hypergraph G has a tight Euler tour subject to the necessary condition

More information