English

Statistics of the Number of Zero Crossings : from Random Polynomials to Diffusion Equation

Statistical Mechanics 2009-11-13 v2 Disordered Systems and Neural Networks Probability

Abstract

We consider a class of real random polynomials, indexed by an integer d, of large degree n and focus on the number of real roots of such random polynomials. The probability that such polynomials have no real root in the interval [0,1] decays as a power law n^{-\theta(d)} where \theta(d)>0 is the exponent associated to the decay of the persistence probability for the diffusion equation with random initial conditions in space dimension d. For n even, the probability that such polynomials have no root on the full real axis decays as n^{-2(\theta(d) + \theta(2))}. For d=1, this connection allows for a physical realization of real random polynomials. We further show that the probability that such polynomials have exactly k real roots in [0,1] has an unusual scaling form given by n^{-\tilde \phi(k/\log n)} where \tilde \phi(x) is a universal large deviation function.

Keywords

Cite

@article{arxiv.0705.2648,
  title  = {Statistics of the Number of Zero Crossings : from Random Polynomials to Diffusion Equation},
  author = {Gregory Schehr and Satya N. Majumdar},
  journal= {arXiv preprint arXiv:0705.2648},
  year   = {2009}
}

Comments

4 pages, 3 figures. Minor changes. Accepted version in Phys. Rev. Lett