ALGEBRAIC

COMBINATORICS

c

C D Go dsil

To Gillian

Preface

There are p eople who feel that a combinatorial result should b e given a

purely combinatorial pro of but I am not one of them For me the most

interesting parts of have always b een those overlapping other

areas of This b o ok is an intro duction to some of the interac

tions b etween and combinatorics The rst half is devoted to the

characteristic and matchings p olynomials of a graph and the second to

p olynomial spaces However anyone who lo oks at the table of contents will

realise that many other topics have found their way in and so I expand on

this summary

The characteristic p olynomial of a graph is the characteristic p olyno

matrix The matchings p olynomial of a graph G with mial of its adjacency

n vertices is

b n2c

X

k n2k

G k x p

k =0

where pG k is the numb er of k matchings in G ie the numb er of sub

graphs of G formed from k vertexdisjoint edges These denitions suggest

that the characteristic p olynomial is an algebraic ob ject and the matchings

p olynomial a combinatorial one Despite this these two p olynomials are

closely related and therefore they have b een treated together In devel

oping their theory we obtain as a bypro duct a numb er of results ab out

orthogonal p olynomials The numb er of p erfect matchings in the comple

ment of a graph can b e expressed as an integral involving the matchings

by which we p olynomial This motivates the study of moment sequences

mean sequences of combinatorial interest which can b e represented as the

sequence of moments of some measure

To b e brief if not cryptic a p olynomial space is obtained by asso ciat

ing an inner pro duct space of p olynomials to a combinatorial structure

The combinatorial structure might b e the set of all k subsets of a set of v

elements the symmetric on n letters or if the reader will b e gener

n

ous the unit sphere in R Given this setup it is p ossible to derive b ounds

of co des and designs in the structure The derivations are on the sizes

very simple and apply to a wide range of structures The resulting b ounds

are often classicalthe simplest and b est known is Fishers inequality from

design theory

iv Preface

Polynomial spaces are p erhaps imp ossibly general We distinguish one

imp ortant family which corresp onds when the underlying set is nite to Q

p olynomial asso ciation schemes The latter have a welldevelop ed theory

thanks chiey to work of Delsarte Our approach enables us to rederive and

extend much of this work In summary the theory of p olynomial spaces

provides an axiomatisation of many of the applications of

to combinatorics along with a natural way of extending the theory of Q

p olynomial asso ciation schemes to the case where the underlying set is

innite

From this discussion it is clear that to make sense of p olynomial spaces

some feeling for asso ciation schemes is required Hence I have included

a reasonably thorough intro duction to this topic To motivate this in

turn I have also included chapters on strongly regular and distanceregular

graphs Orthogonal p olynomials arise naturally in connection with p olyno

mial spaces and distanceregular graphs and thus form a connecting link

b etween the two parts of this b o ok

My aim has b een to write a b o ok which would b e accessible to b egin

ning graduate students I b elieve it could serve as a text for a numb er of

t courses in combinatorics at this level and I also hop e that it will dieren

prove interesting to browse in The prerequisit es for successful digestion of

the material oered are

Linear algebra Familiarity with the basics is taken for granted The

sp ectral decomp osition of a Hermitian matrix is used more than once

The theory is presented in Chapter Positive semidenite matrices

app ear A brief summary of the relevant material is included in the

app endix

Combinatorics The basic language of is used without

preamble eg spanning trees bipartite graphs and chromatic num

b er Once again some of this is included in the app endix Generating

functions and formal p ower series are used extensively in the rst half

of the b o ok and so there is a chapter devoted to them

Group theory The creeps in o ccasionally along

with automorphism groups of graphs The orthogonal group is men

tioned by name at least once

Ignorance By which I mean the ability to ignore the o dd paragraph

devoted to unfamiliar material in the trust that it will all b e ne at

the end

I have not b een able to draw up a dep endence diagram for the chapters

which would not b e misleading This is b ecause there are few chains of

argument extending across chapter b oundaries but many cases where the

Preface v

material in one chapter motivates another For example it should b e

p ossible to get through the chapter on asso ciation schemes without reading

the preceding chapter on distanceregular graphs However these graphs

provide one of the most imp ortant classes of asso ciation schemes

By way of comp ensation for the lack of this traditional diagram I

include some suggestions for p ossible courses

The matchings p olynomial and moment sequences

The characteristic p olynomial

Strongly regular graphs distanceregular graphs and asso ci

ation schemes

Equitable partitions and co des in distanceregular graphs

Polynomial spaces

In making these suggestions I have made no serious attempt to consider

the time it would take to cover the material indicated On the basis of my

own exp erience I think it would b e p ossible to cover at most three pages

p er hour of lectures On the other hand it would b e easy enough to pare

down the suggestions just made For example Chapter covers formal

p ower series and generating functions and dep ending on the backgrounds

of ones victims this might not b e essential in and

Bender Andries I have b een help ed by advice and comments from Ed

Brouwer Dom de Caen Michael Do ob Mark Ellingham Tony Gardiner

y Gillian Nonay Jack Ko olen Gordon Royle Bill Martin Brendan McKa

J J Seidel and Akos Seress Dom in particular has made heroic eorts to

protect me from my own stupidity I am very grateful for all this assistance

I would also like to thank John Kimmel and Jim Geronimo of Chapman and Hall for their part in the pro duction of this b o ok

Contents

Preface vii

Contents xi

The Matchings Polynomial

Recurrences

Integrals

Ro ok Polynomials

The Hit Polynomial

Stirling and Euler Numb ers

Hit Polynomials and Integrals

Exercises

Notes and References

The Characteristic Polynomial

Co ecients and Recurrences

Walks and the Characteristic Polynomial

Eigenvectors

Regular Graphs

The Sp ectral Decomp osition

Some Further Matrix Theory

Exercises

Notes and References

Formal Power Series and Generating Functions

Formal Power Series

Limits

Op erations on Power Series

Exp and Log

Nonlinear Equations

Applications and Examples

Exercises

Notes and References

viii Contents

Walk Generating Functions

Jacobis Theorem

Walks and Paths

A Decomp osition Formula

The ChristoelDarb oux Identity

ertex Reconstruction V

Cosp ectral Graphs

Random Walks on Graphs

Exercises

Notes and References

of Graphs Quotients

Equitable Partitions

Eigenvalues and Eigenvectors

WalkRegular Graphs

Generalised Interlacing

Covers

The Sp ectral Radius of a Tree

Exercises

Notes and References

Matchings and Walks

The PathTree

TreeLike Walks

Consequences of Reality

ChristoelDarb oux Identities

Exercises

Notes and References

Pfaans

The Pfaan of a Skew Symmetric Matrix

Pfaans and Determinants

Row Expansions

Oriented Graphs

Orientations

The Diculty of Counting Perfect Matchings

Exercises

Notes and References

Contents ix

Orthogonal Polynomials

The Denitions

The ThreeTerm Recurrence

The ChristoelDarb oux Formula

Discrete Orthogonality

Sturm Sequences

Some Examples

Exercises

Notes and References

Moment Sequences

Moments and Walks

Moment Generating Functions

Hermite and Laguerre Polynomials

The Chebyshev Polynomials

The Charlier Polynomials

Sheer Sequences of Polynomials

Characterising Polynomials of Meixner Typ e

The Polynomials of Meixner Typ e

Exercises

Notes and References

Strongly Regular Graphs

Basic Theory

Conference Graphs

Designs

Orthogonal Arrays

Exercises

Notes and References

DistanceRegula r Graphs

Some Families

Distance Matrices

Parameters

ts Quotien

Imprimitive DistanceRegular Graphs

Co des

Completely Regular Subsets

Examples

Exercises

Notes and References

x Contents

Asso ciation Schemes

Generously Transitive Permutation Groups

s ps and q

P and QPolynomial Asso ciation Schemes

Pro ducts

Primitivity and Imprimitivity

Co des and Antico des

Equitable Partitions of Matrices

Characters of Ab elian Groups

Cayley Graphs

Translation Schemes and Duality

Exercises

Notes and References

Representations of DistanceRegular Graphs

Representations of Graphs

The Sequence of Cosines

Injectivity

Eigenvalue Multipliciti es

Bounding the Diameter

Spherical Designs

Bounds for Cliques

Feasible Automorphisms

Exercises

Notes and References

Polynomial Spaces

Functions

The Axioms

Examples

The Degree of a Subset

Designs

The Johnson Scheme

The Hamming Scheme

Co ding Theory

GroupInvariant Designs

Weighted Designs

Exercises

Notes and References

Contents xi

QPolynomial Spaces

Orthogonal Polynomials Zonal

Zonal Orthogonal Polynomials Examples

The Addition Rule

Spherical Polynomial Spaces

Harmonic Polynomials

Asso ciation Schemes

QPolynomial Asso ciation Schemes

Incidence Matrices for Subsets

v k is QPolynomial J

Exercises

Notes and References

Tight Designs

Tight Bounds

Examples and NonExamples

The Grassman Space

Linear Programming

Bigger Bounds

Examples

Exercises

Notes and References

Terminology App endix

Index of Symb ols

Index