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Given an element in a finite-dimensional real vector space, , that is a nonnegative linear combination of basis vectors for some basis , we compute the probability that it is furthermore a nonnegative linear combination of basis vectors for a second basis, . We then apply this general result to combinatorially compute the probability that a symmetric function is Schur-positive (recovering the recent result of Bergeron–Patrias–Reiner), -positive or -positive. Similarly we compute the probability that a quasisymmetric function is quasisymmetric Schur-positive or fundamental-positive. In every case we conclude that the probability tends to zero as the degree of a function tends to infinity.

生成讲解博客的中文版本

生成AI智能校验的中文版本