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Number Variance of Random Zeros on Complex Manifolds, II: Smooth Statistics

2010; Volume: 6; Issue: 4 Linguagem: Inglês

10.4310/pamq.2010.v6.n4.a10

1558-8602

Bernard Shiffman, Steve Zelditch,

Geometric Analysis and Curvature Flows

We consider the zero sets Z N of systems of m random polynomials of degree N in m complex variables, and we give asymptotic formulas for the random variables given by summing a smooth test function over Z N .Our asymptotic formulas show that the variances for these smooth statistics have the growth N m-2 .We also prove analogues for the integrals of smooth test forms over the subvarieties defined by k < m random polynomials.Such linear statistics of random zero sets are smooth analogues of the random variables given by counting the number of zeros in an open set, which we proved elsewhere to have variances of order N m-1/2 .We use the variance asymptotics and off-diagonal estimates of Szegő kernels to extend the central limit theorem of Sodin-Tsirelson to the case of smooth linear statistics for zero sets of codimension one in any dimension m.