Abstract

We prove that if q1,…,qm:Rn⟶Rq_1, \ldots, q_m: {\Bbb R}^n \longrightarrow {\Bbb R} are quadratic forms in variables x1,…,xnx_1, \ldots, x_n such that each qkq_k depends on at most rr variables and each qkq_k has common variables with at most rr other forms, then the average value of the product (1+q1)⋯(1+qm)\left(1+ q_1\right) \cdots \left(1+q_m\right) with respect to the standard Gaussian measure in Rn{\Bbb R}^n can be approximated within relative error ε>0ε>0 in quasi-polynomial nO(1)mO(ln⁡m−ln⁡ε)n^{O(1)} m^{O(\ln m -\ln ε)} time, provided ∣qk(x)∣≤γ∥x∥2/r|q_k(x)| \leq γ\|x\|^2 /r for some absolute constant γ>0γ> 0 and k=1,…,mk=1, \ldots, m. When qkq_k are interpreted as pairwise squared distances for configurations of points in Euclidean space, the average can be interpreted as the partition function of systems of particles with mollified logarithmic potentials. We sketch a possible application to testing the feasibility of systems of real quadratic equations.

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