Abstract
We prove an asymptotic estimate for the number of m × n non-negative integer matrices (contingency tables) with prescribed row and column sums and, more generally, for the number of integer-feasible flows in a network. Similarly, we estimate the volume of the polytope of m × n non-negative real matrices with prescribed row and column sums. Our estimates are solutions of convex optimization problems, and hence can be computed efficiently. As a corollary, we show that if row sums R = (r 1 , …, r m ) and column sums C = (c 1 , …, c n ) with r 1 + ⋯ + r m = c 1 + ⋯ + c n = Nare sufficiently far from constant vectors, then, asymptotically, in the uniform probability space of the m × nnon-negative integer matrices with the total sum N of entries, the event consisting of the matrices with row sums R and the event consisting of the matrices with column sums C are positively correlated.
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