Law of large numbers for permanents of random constrained matrices

Ghurumuruhan Ganesan ()
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Ghurumuruhan Ganesan: HBNI

Indian Journal of Pure and Applied Mathematics, 2022, vol. 53, issue 4, 900-906

Abstract: Abstract Permanents of random matrices with independent and identically distributed (i.i.d.) entries have extensively studied in literature and convergence and concentration properties are known under varying assumptions on the distributions. In this paper we consider constrained $$n \times n$$ n × n random matrices where each row has a deterministic number $$r = r(n)$$ r = r ( n ) zero entries and the rest of the entries are independent random variables that are positive almost surely. The positions of the zeros within each row are also random and we establish sufficient conditions for the existence of a weak law of large numbers for the permanent, appropriately scaled and centred. As a special case, we see that if $$r$$ r grows faster than $$\sqrt{n},$$ n , then the permanent of a randomly chosen constrained $$0-1$$ 0 - 1 matrix is concentrated around the van der Waerden bound with high probability, i.e. with probability converging to one as $$n \rightarrow \infty .$$ n → ∞ .

Keywords: Weak Law of Large Numbers; Row Constrained Random Matrices; van der Waerden bound; Second moment method; Primary: 60C05; 05A16 (search for similar items in EconPapers)
Date: 2022
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DOI: 10.1007/s13226-021-00195-5

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