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Density of Complex Critical Points of a Real Random SO(m+1) Polynomial

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Abstract

We study the density of complex critical points of a real random SO(m+1) polynomial in m variables. In a previous paper (Macdonald in J. Stat. Phys. 136(5):807, 2009), the author used the Poincaré-Lelong formula to show that the density of complex zeros of a system of these real random polynomials rapidly approaches the density of complex zeros of a system of the corresponding complex random polynomials, the SU(m+1) polynomials. In this paper, we use the Kac-Rice formula to prove an analogous result: the density of complex critical points of one of these real random polynomials rapidly approaches the density of complex critical points of the corresponding complex random polynomial. In one variable, we give an exact formula and a scaling limit formula for the density of critical points of the real random SO(2) polynomial as well as for the density of critical points of the corresponding complex random SU(2) polynomial.

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  1. Brian Macdonald

    Present address: MADN-MATH, United States Military Academy, 646 Swift Road, West Point, NY, 10996, USA

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  1. Department of Mathematics, Johns Hopkins University, 3400 N. Charles ST, Baltimore, MD, 21218, USA

    Brian Macdonald

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  1. Brian Macdonald
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Correspondence to Brian Macdonald.

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Macdonald, B. Density of Complex Critical Points of a Real Random SO(m+1) Polynomial. J Stat Phys 141, 517–531 (2010). https://doi.org/10.1007/s10955-010-0057-y

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