HADAMARD DETERMINANTS, MÖBIUS FUNCTIONS, AND THE CHROMATIC NUMBER OF A GRAPH

Similar documents
THE LARGEST INTERSECTION LATTICE OF A CHRISTOS A. ATHANASIADIS. Abstract. We prove a conjecture of Bayer and Brandt [J. Alg. Combin.

Lecture 10 February 4, 2013

Irreducible multivariate polynomials obtained from polynomials in fewer variables, II

Mobius Inversion of Random Acyclic Directed Graphs

THE NUMBER OF POINTS IN A COMBINATORIAL GEOMETRY WITH NO 8-POINT-LINE MINORS

TUTTE POLYNOMIALS OF GENERALIZED PARALLEL CONNECTIONS

THE NUMBER OF LOCALLY RESTRICTED DIRECTED GRAPHS1

On Systems of Diagonal Forms II

AN INTRODUCTION TO AFFINE TORIC VARIETIES: EMBEDDINGS AND IDEALS

Jeong-Hyun Kang Department of Mathematics, University of West Georgia, Carrollton, GA

(1.) For any subset P S we denote by L(P ) the abelian group of integral relations between elements of P, i.e. L(P ) := ker Z P! span Z P S S : For ea

SOME NEW EXAMPLES OF INFINITE IMAGE PARTITION REGULAR MATRICES

MATH 235. Final ANSWERS May 5, 2015

PROOF OF TWO MATRIX THEOREMS VIA TRIANGULAR FACTORIZATIONS ROY MATHIAS

CHAPTER I. Rings. Definition A ring R is a set with two binary operations, addition + and

Linear Algebra Lecture Notes-I

On the adjacency matrix of a block graph

A quasisymmetric function generalization of the chromatic symmetric function

(2) E\gt(x)] = f uik(y)p(x + y)dy = #<«>(*),

Lecture Summaries for Linear Algebra M51A

Review of Linear Algebra

Factorization of the Characteristic Polynomial

GCD MATRICES, POSETS, AND NONINTERSECTING PATHS

ACI-matrices all of whose completions have the same rank

MATH 320: PRACTICE PROBLEMS FOR THE FINAL AND SOLUTIONS

Ir O D = D = ( ) Section 2.6 Example 1. (Bottom of page 119) dim(v ) = dim(l(v, W )) = dim(v ) dim(f ) = dim(v )

Acyclic orientations of graphs

(1) 0 á per(a) Í f[ U, <=i

15.083J/6.859J Integer Optimization. Lecture 10: Solving Relaxations

RINGS ISOMORPHIC TO THEIR NONTRIVIAL SUBRINGS

ORIE 6300 Mathematical Programming I August 25, Recitation 1

Math 240 Calculus III

CHAPTER 10 Shape Preserving Properties of B-splines

Conceptual Questions for Review

J2 e-*= (27T)- 1 / 2 f V* 1 '»' 1 *»

Partitions, rooks, and symmetric functions in noncommuting variables

arxiv: v1 [math.co] 3 Aug 2009

Math 502 Fall 2005 Solutions to Homework 3

MATRIX ALGEBRA AND SYSTEMS OF EQUATIONS. + + x 1 x 2. x n 8 (4) 3 4 2

CONVERGENCE OF MULTIPLE ERGODIC AVERAGES FOR SOME COMMUTING TRANSFORMATIONS

On Weird and Pseudoperfect

Arithmetic Progressions with Constant Weight

THE STRUCTURE OF A RING OF FORMAL SERIES AMS Subject Classification : 13J05, 13J10.

K. Johnson Department of Mathematics, Dalhousie University, Halifax, Nova Scotia, Canada D. Patterson

BAXTER ALGEBRAS AND COMBINATORIAL IDENTITIES. II BY GIAN-CARLO ROTA. Communicated August 20, 1968

2.2. Show that U 0 is a vector space. For each α 0 in F, show by example that U α does not satisfy closure.

Linear Algebra Homework and Study Guide

2.3. VECTOR SPACES 25

COMBINATORIAL PROOFS OF GENERATING FUNCTION IDENTITIES FOR F-PARTITIONS

The following two problems were posed by de Caen [4] (see also [6]):

A CHARACTERIZATION OF LOCALLY FINITE VARIETIES THAT SATISFY A NONTRIVIAL CONGRUENCE IDENTITY

MTH 5102 Linear Algebra Practice Final Exam April 26, 2016

Lemma 8: Suppose the N by N matrix A has the following block upper triangular form:

CSL361 Problem set 4: Basic linear algebra

238 H. S. WILF [April

Topics in Graph Theory

An Introduction to Transversal Matroids

MATROID THEORY, Second edition

AN EXTREMUM PROPERTY OF SUMS OF EIGENVALUES' HELMUT WIELANDT

Elementary maths for GMT

Linear Algebra Massoud Malek

2: LINEAR TRANSFORMATIONS AND MATRICES

Final Exam. Linear Algebra Summer 2011 Math S2010X (3) Corrin Clarkson. August 10th, Solutions

MATH 326: RINGS AND MODULES STEFAN GILLE

Math 121 Homework 4: Notes on Selected Problems

STRONG CONVERGENCE PROPERTIES OF SFT RINGS. John T. Condo 748 Jamie Way Atlanta, GA 30188

Refined Inertia of Matrix Patterns

Math 408 Advanced Linear Algebra

Probabilistic Aspects of the Integer-Polynomial Analogy

Factorization of integer-valued polynomials with square-free denominator

Zero-Sum Flows in Regular Graphs

Parameterizing orbits in flag varieties

Math 102, Winter Final Exam Review. Chapter 1. Matrices and Gaussian Elimination

arxiv: v1 [math.ac] 7 Feb 2009

4 Vector Spaces. 4.1 Basic Definition and Examples. Lecture 10

Linear Codes, Target Function Classes, and Network Computing Capacity

An estimate for the probability of dependent events

AN ELEMENTARY PROOF OF THE SPECTRAL RADIUS FORMULA FOR MATRICES

A Characterization of (3+1)-Free Posets

On the number of diamonds in the subgroup lattice of a finite abelian group

GRAPH CHOOSABILITY AND DOUBLE LIST COLORABILITY. Hamid-Reza Fanaï

Lecture Notes 6: Dynamic Equations Part C: Linear Difference Equation Systems

The Erdős-Moser Conjecture

arxiv:math/ v1 [math.fa] 26 Oct 1993

The Singapore Copyright Act applies to the use of this document.

YORK UNIVERSITY. Faculty of Science Department of Mathematics and Statistics MATH M Test #2 Solutions

Product distance matrix of a tree with matrix weights

Eigenvalues and Eigenvectors A =

1: Introduction to Lattices

Commuting nilpotent matrices and pairs of partitions

MATH 205C: STATIONARY PHASE LEMMA

UNIVERSAL IDENTITIES. b = det

We simply compute: for v = x i e i, bilinearity of B implies that Q B (v) = B(v, v) is given by xi x j B(e i, e j ) =

mathematics Smoothness in Binomial Edge Ideals Article Hamid Damadi and Farhad Rahmati *

Powers and Products of Monomial Ideals

Letting be a field, e.g., of the real numbers, the complex numbers, the rational numbers, the rational functions W(s) of a complex variable s, etc.

Math113: Linear Algebra. Beifang Chen

Topics. Vectors (column matrices): Vector addition and scalar multiplication The matrix of a linear function y Ax The elements of a matrix A : A ij

1 Determinants. 1.1 Determinant


Transcription:

HADAMARD DETERMINANTS, MÖBIUS FUNCTIONS, AND THE CHROMATIC NUMBER OF A GRAPH BY HERBERT S. WILF 1 Communicated by Gian-Carlo Rota, April 5, 1968 The three subjects of the title are bound together by an interesting combinatorial identity, stated below as Theorem 1. This identity is itself rooted in special cases which have already appeared in the literature [3], but it could not have been stated in its full generality before the well known work of Rota [4] on Möbius functions. Indeed, we have here a good example of the unifying power of the concept of a Möbius function on a lattice in combinatorial analysis, for we are able to deduce as corollaries of this one piece of machinery (a) the evaluation of a determinant appearing in [l] as an example of a matrix of ± l's whose determinant is "nearly" the Hadamard upper bound, (b) a theorem of [2] which is a partial generalization of (a), but is tied closely to a particular lattice, (c) perhaps most interesting, based on [4] we are able to exhibit a symmetric matrix depending on a parameter X which is singular if and only if a given graph cannot be colored in X colors. This matrix is reminiscent of another one found earlier by G. D* Birkhoff [5]. In reference [l] there appears an evaluation of the following determinant of ±l's. Let a(i, j) denote the number of l's in common positions in the binary expansions of the integers i and j, and define an (n + l)x(n + l) matrix M(n) by (1) M(n)a = (-l)««.i> (i,j - 0, 1,..., n). The authors showed, by an inductive argument, that (2) det Jf(n) = 2 A where A(n) =ce(0)+a(l)+ +a(n) and a(m) is the sum of the binary digits of w. For large n } one has (3) 2^<»> ^»»/»<i-*/iog n> (c < 1) so that (2) is reasonably close to the Hadamard upper bound n nf2. In reference [2] there appears a generalization of the above results to lattices of subsets of a finite set, as well as investigations relating to bases other than 2. 1 Research supported in part by the National Science Foundation, 960

CHROMATIC NUMBER OF A GRAPH 961 The germ of a more far-reaching generalization of these theorems is contained in a pair of problems in Pólya-Szegö ([3, VIII, Problems 32-33]), and the recent paper of Rota [4] on the use of the Möbius function of a lattice in combinatorial investigations. Let there be given a partial order " < " for the integers 0,1,, n. Define the "zeta-function" of the partial order as the (n+l)x(n+l) matrix (4) ta - il j Û i, \0 otherwise, Consider the matrix (5) r - f AÇ T where A is a diagonal matrix with a 0, #i,, a n on the diagonal, the ai being arbitrary. One evidently has On the other hand, det r = (det,4)(detf) 2 = aodi a n. Let us define k ^ H <>k (i,j = 0, 1,, n). k<i; k<j (6) Ai = #* k$i and let us write i/\j for the greatest lower bound ("meet") of i and j. Then we have found that (7) det AiAj = #00102 * on where the Ai and a» are related by (6). We can now eliminate the a*- completely by inverting the formula (6). This gives (8) at «]C n(i } k)a k (i = 0, 1,, n) k<i where \x is the Möbius function of the lattice (see [4]), and is defined as the inverse of the matrix *. Substituting (8) in (7) we find

962 H. S. WILF [September THEOREM 1. Let A 0, Au, A n be arbitrary numbers, and let ix be the Möbius function of a lattice-ordering < of {O, 1, 2,, n}. Then (9) det 4,Ay] * = ft { Z M&», k)a k \. COROLLARY 1. Let A^, A n be a sequence of ± 1, and let /x(m, k) be the Möbius function of a lattice partial ordering ^. Then the geometric mean of the numbers (m = 0, 1,, n) is at most (n + 1) 112. PROOF. After (9), this is just Hadamard's inequality. COROLLARY 2. Equation (2) holds, where M{n) is given by (1). PROOF. Define the ordering ^ by a^.b if each binary digit of a is ^ the corresponding digit of b. The lattice {0, 1,, n\ is then isomorphic to all subsets of a finite set, whose Möbius function is well known to be Hence M(5, T) = (-1)'*** (TQS). M( a> b) = (-l)«c*>-«<«> (J < a) where a:(m) is the number of nonzero digits of m. Taking A m = ( l) a(m), we obtain from (9) as required. det A ia i\ «det (-l)««ai> ] Jo Jo = det(~l)«(^m J o = n { E (-i)«w-«<*>(-i)>> w*0 V &<m * = (-2) A < n) LEMMA 1. If r^s means that the b-ary digits of r are ^ those of s, where b>\ is fixed, then

1968I CHROMATIC NUMBER OF A GRAPH 963 M(S> r)*=( l) v if P digits of r are 1 less than those of s, the rest equal = 0 otherwise. PROOF. We use Rota's crosscut theorem [4], Fix r, s, r<s. In the interval r^x^s the crosscut of dual atoms consists of those numbers x which agree with s in all digits except one, where, in the latter, the digit of x is 1 less than the corresponding digit of s. The meet of any collection of dual atoms is a number whose digits are at most 1 less than the digits of 5. Hence if some digit of 5 exceeds the corresponding digit of r by 2 or more, fx(s, r) = 0, since no spanning subsets exist. In the contrary case, exactly v digits of r are 1 less than the corresponding digit of 5, the remaining digits being identical (z>^l). Then a spanning subset is a collection of dual atoms whose decreased digits are identical with these J>. The number of spanning subsets of k elements is thus q h = 1 k = v, = 0 k9*v. The crosscut theorem gives in this case A*fo r) = q 2 q% + q* - =(-1)". Now let <Xb(m) denote the sum of the &-ary digits of m. Then, in the case where fx(s, r)?*0 in Lemma 1, ju(s, r) is equal to ( 1 )«&<»)-«&<» >. Hence, put Aj = ( l) abu \ Then from the theorem we find easily COROLLARY 3. We have I l n I det(-l)va>'> = 2h <»> I J *,y-o I where ifsb(n) r)b(0)+ +rjb(n) and rjb(m) is the number of nonzero b-ary digits of m. As a final application, to graph coloring, we observe that Theorem 1 is in no way tied to the use of integers as members of the ordered set. Indeed, if ƒ is a function from an arbitrary lattice L to, say, the complex numbers, we have (10) det f(s AT)] = II { Z M(S, T)f(T)\ J s,tel sel {T±S ) as well as the dual form (11) detf(s V 7)1 = II J 23 M(Z\ S)f(T)\ J S,TeL SEL \T S )

964 H. S. WILF which arises from using f^af in (5). For the lattice L take the collection of all bond-closed (see [4]) sets of edges of a given undirected finite graph G, and take f(t) = \^-r(t)) (j e Z) where n is the number of vertices of G, r(t) is the rank of T (i.e., number of vertices of T minus the number of connected components) in the lattice Z, and X is an indeterminate. Then, from [4] we know that Pfr,S) = E^5)/(r) S<T (SEL) is the number of colorings of G whose bond is S. Then from (11) (12) det [\**"M T >]s.rel «II P(\ S). Suppose G is ^-colorable. Then p(k t (/>)= chromatic polynomial of G is >0. If, for example, G is critical, in the sense of Dirac, then p(k, S) >0 also, for we can color G S in k 1 colors and all of S as the &th, so the matrix or the left is nonsingular. Suppose G is not fecolorable. Then p(k, 0)=O and the matrix is singular. Hence, the chromatic number of G never exceeds the least k for which the matrix is nonsingular, and if G is critical, is equal to it. REFERENCES 1. G. F. Clements and B. Lindstrom, A sequence of (±l)-determinants with large values, Proc. Amer. Math. Soc. 16 (1965), 548-550. 2. B. Lindstrom and H. O. Zetterström, A combinatorial problem on the k-adic number system, Proc. Amer. Math. Soc. 18 (1967), 166-170. 3. G. Pólya and G. Szegö, Aufgaben und Lehrsütze aus der Analysis, Berlin, 1964. 4. G. C. Rota, On the foundations of combinatorial theory, I: Theory of Möbius functions, Z. Wahrscheinlichkeitstheorie und verwandte Gebiete 2 (1964), 340-368. 5. G. D. Birkhoff, A determinant formula f or the number of ways of coloring a map, Ann. of Math. II Ser. 14 (1913), 42-46. UNIVERSITY OF PENNSYLVANIA