On the distribution of permanents of matrices over finite fields

On the distribution of permanents of matrices over finite fields

Electronic Notes in Discrete Mathematics 34 (2009) 519–523 www.elsevier.com/locate/endm On the distribution of permanents of matrices over finite field...

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Electronic Notes in Discrete Mathematics 34 (2009) 519–523 www.elsevier.com/locate/endm

On the distribution of permanents of matrices over finite fields Le Anh Vinh Mathematics Department Harvard University Cambridge, MA 02138, USA [email protected]

Abstract For a prime power q, we study the distribution of permanents of n × n matrices over a finite field q of q elements. We show that if A is a sufficient large subset of q then the set of permanents of n × n matrices with entries in A covers all (or almost) ∗q . When q = p is a prime, and A is a subinterval of [0, p − 1] of cardinality |A|  p1/2 log p, we show that the number of matrices with entries in A having permanent t is asymptotically close to the expected value. We also study this problem in more general settings. Keywords: permanent, matrices over finite fields.

1

Motivation

Throughout this paper, let q = pr where p is an odd prime and r is a positive integer. Let q be a finite field of q elements. The prime base field p of q may then be naturally identified with p . The distribution of the determinant of matrices with entries in a finite field q has been studied by various researchers. Suppose that the ground field q is fixed and Md is a random 1571-0653/$ – see front matter © 2009 Elsevier B.V. All rights reserved. doi:10.1016/j.endm.2009.07.086

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d × d matrices with entries chosen independently from q . If the entries are chosen uniformly from q , then it is well known that  Pr(Md is nonsingular) → (1) (1 − q −i ) as d → ∞. i1

It is interesting that (1) is quite robust. Specifically, J. Kahn and J. Koml´os [6] proved a strong necessary and sufficient condition for (1). Theorem 1.1 ([6]) Let Md be a random d × d matrix with entries chosen according to some fixed non-degenerate probability distribution μ on q . Then (1) holds if and only if the support of μ is not contained in any proper affine subfield of q . An extension of the uniform limit is to random matrices with μ depending on n was considered by Kovalenko, Leviskaya and Savchuk [7]. They proved that the standard limit (1) under the condition that the entries mij of Md are independent and Pr(mij = α) > (log d + ω(1))/d for all α ∈ q . The behavior of the nullity of Md for 1 − μ(0) close to log d/d and μ(α) = (1 − μ(0)/(q − 1) for α = 0 was also studied by Bl¨omer, Karp and Welzl [2]. Another direction is to fix the dimension of matrices. For an integer number d and a subset E ⊆ dq , let Md (E) denote the set of d × d matrices with rows in E. For any t ∈ q , let Nd (E; t) be the number of d × d matrices in Md (E) having determinant t. Ahmadi and Shparlinski [1] studied some natural classes of matrices over finite fields p of p elements (p is a prime) with components in a given subinterval [−H, H] ⊆ [−(p − 1)/2, (p − 1)/2]. They showed that 2 (2H + 1)d d Nd ([−H, H] ; t) = (1 + o(1)) (2) p if t ∈ ∗q and H  p3/4 . In the case n = 2, they improved the lower bound to H  p1/2+ε for any constant ε > 0. Covert et al. [3] studied this problem in more general settings. When E ⊆ 3q is an arbitrary set, they obtained the following result. Theorem 1.2 ([3, Theorem 2.10]) Suppose that E ⊆ 3q of cardinality |E|  Cq 2 for a sufficiently large constant C > 0. There exists c > 0 such that | vol(E)|  cq. In [10], the author showed that, under the same condition, E determines all possible volumes. More precisely, we obtained the following general result. Theorem 1.3 ([10]) When E ⊆

d q

and |E| ≥ (d − 1)q d−1 , vol(E) =

q.

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Note that the assumption |E| ≥ (d−1)q d−1 is sharp up to a factor of (d−1) as taking E to be a (d − 1)-hyperplane through the origin shows. A subset E ⊆ nq is called a product-like set if |Hd ∩ E|  |E|d/n for any d-dimensional subspace Hd ⊂ nq . Covert et al. [3] showed that if E ⊂ 3q is a product-like set of cardinality |E|  q 15/8 , then q ⊂ vol(E). When E is a product set, i.e. E = A×. . .×A, using the geometry incidence machinery developed in [3], and some properties of non-singular matrices, the author [9] obtained the following result for higher dimensional cases (d ≥ 4): 2

|A|d Nd (A ; t) = (1 + o(1)) , q d

d

if t ∈ ∗q and A ⊆ q of cardinality |A|  q 2d−1 . On the other hand, little has been known about the permanent. The only known uniform limit similar to (1) for the permanent is due to Lyapkov and Sevast’yanov [8]. They proved that the permanent of a random n × m matrix Mnm with elements from p and independent rows has the limit distribution of the form lim Pr(Per(Mnm ) = k) = ρm δk0 + (1 − ρm )/p, k ∈

n→∞

p,

where δk0 is Kronecker’s symbol. The purpose of this paper is to study the distribution of the permanent when the dimension of matrices is fixed. For any t ∈ q and E ⊂ dq , let Pn (E; t) be the number of n × n matrices with rows in E having determinant t. We are also interested in the set of all permanents, Pn (E) = {Per(M ) : M ∈ Mn (E)}. Throughout the abstract, the implied constants in the symbols O, o, , and  may depend on integer parameter d. We recall that the notation U = O(V ) and U  V are equivalent to the assertion that the inequality |U | ≤ cV holds for some constant c > 0. The notation U = o(V ) is equivalent to the assertion that U = O(V ) but V = O(U ).

2

Statement of results

The main result of this paper is that, if E is a sufficient large subset of nq then Pn (E) covers q . More precisely, our first result is the following theorem. Theorem 2.1 Suppose that q is an odd prime power and gcd(q, n) = 1. n+1 a) If E ∩ ( ∗q )n = ∅, and |E| > cq 2 , then ∗q ⊆ Pn (E). b) If E ⊂ nq of cardinality |E| > nq n−1 , then ∗q ⊆ Pn (E). Note that the bound in Part b) of Theorem 2.1 is tight up to a factor of

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n. For example, |{x1 = 0}| = q n−1 and Pn ({x1 = 0}) = 0. When E is a product-set, i.e. E = A × . . . × A, we can improve the bound in Theorem 2.1. Theorem 2.2 Suppose that q is an odd prime power and gcd(q, n) = 1. 1 1 a) If A ⊂ q of cardinality |A|  q 2 + 2n , then ∗q ⊆ Pn (An ). b) If A ⊆ q of cardinality |A|  q 2/3 , then for each t ∈ ∗q P3 (A3 ; t) = (1 + o(1))

|E|3 . q

When E is a product-like set, we can get a positive proportion of the permanents under a weaker assumption. Theorem 2.3 Suppose that q is an odd prime power and gcd(q, n) = 1. If E⊂

n q

n2

is a product-like set of cardinality |E|  q 2(n−1) , then |Pn (E)|  (1 − o(1))q.

In the special case E = A × . . . × A, we have the following corollary. Corollary 2.4 Suppose that q is an odd prime power and gcd(q, n) = 1. If 1 1 A ⊆ q of cardinality |A|  q 2 + 2(n−1) , then |Pn (An )|  (1 − o(1))q. Furthermore, if we restrict our study to matrices over a finite field p of p elements (p is a prime) with components in a given interval, we obtain a stronger result. Theorem 2.5 For any prime p and an interval I := [a + 1, a + b] ⊆ b → ∞, p → ∞, 1/2 p log p we have 2 bn Pn (I n ; t) = (1 + o(1)) p for any t ∈ p .

p

with

As we will see in the proof of Theorem 2.5, the method applies for a large variety of multi-homogeneous forms. In particular, we have the following result for determinant. Theorem 2.6 For any prime p and an interval I := [a + 1, a + b] ⊆ b → ∞, p → ∞, 1/2 p log p

p

with

L.A. Vinh / Electronic Notes in Discrete Mathematics 34 (2009) 519–523

523

we have 2

Nd (I d ; t) = (1 + o(1)) for any t ∈

bd p

p.

References [1] O. Ahmadi and I. E. Shparlinski, Distribution of matrices with restricted entries over finite fields, Inda. Mathem. 18(3) (2007), 327–337. [2] J. Bl¨ omer, R. Karp, and E. Welzl, The rank of sparse random matrices over finite fields, Random Structures and Algorithms 10 (1997) 407–419. [3] D. Covert, D. Hart, A. Iosevich, D. Koh, and M. Rudnev, Generalized incidence theorems, homogeneous forms and sum-product estimates in finite fields, European Journal of Combinatorics, to appear. [4] D. Hart and A. Iosevich, Sums and products in finite fields: an integral geometric viewpoint, Contemporary Mathematics, Radon transforms, geometry, and wavelets, 464 (2008). [5] D. Hart, A. Iosevich, D. Koh, and M. Rudnev, Averages over hyperplanes, sum-product theory in vector spaces over finite fields and the Erd¨ os-Falconer distance conjecture, preprint (2007). [6] J. Kahn and J. Koml´ os, Singularity probabilities for random matrices over finite fields, Combinatorics, Probability and Computing 10 (2001), 137–157. [7] I. N. Kovalenko, A. A. Leviskaya, and M. N. Savchuk, Selected Problems in Probabilistic Combinatorics (1986), Naukova Dumka, Kiev. In Russian. [8] L. A. Lyapkov and B. A. Sevast’yanov, The limiting probability distribution of a permanent of a random matrix in a GF (p) field, Diskr. Matem., 8(2) (1996), 3–13. [9] L. A. Vinh, On the distribution of determinants of matrices with restricted entries over finite fields, Journal of Combinatorics and Number Theory, to appear. [10] L. A. Vinh, On volume set of point sets in vector spaces over finite fields, submitted.