
Revised: January 20, 2013
Published: February 26, 2013
Abstract: [Plain Text Version]
In the context of statistical physics, Chandrasekharan and Wiese recently introduced the fermionant \Ferm_k, a determinant-like function of a matrix where each permutation \pi is weighted by -k raised to the number of cycles in \pi. We show that computing \Ferm_k is #P-hard under polynomial-time Turing reductions for any constant k > 2, and is \oplusP-hard for k=2, where both results hold even for the adjacency matrices of planar graphs. As a consequence, unless the polynomial-time hierarchy collapses, it is impossible to compute the immanant \Imm_\lambda \,A as a function of the Young diagram \lambda in polynomial time, even if the width of \lambda is restricted to be at most 2. In particular, unless \NP \subseteq \RP, \Ferm_2 is not in P, and there are Young diagrams \lambda of width 2 such that \Imm_\lambda is not in P.