The density of complex zeros of random sums
Abstract
Let \ηj\j = 0N be a sequence of independent, identically distributed random complex Gaussian variables, and let \fj (z)\j = 0N be a sequence of given analytic functions that are real-valued on the real number line. We prove an exact formula for the expected density of the distribution of complex zeros of the random equation Σj = 0N ηj fj (z) = K, where K ∈ C. The method of proof employs a formula for the expected absolute value of quadratic forms of Gaussian random variables. We then obtain the limiting behaviour of the density function as N tends to infinity and provide numerical computations for the density function and empirical distributions for random sums with certain functions fj (z). Finally, we study the case when the fj (z) are polynomials orthogonal on the real line and the unit circle.
Turn this paper into a full lesson
ArcXiv compiles a staged curriculum from this paper: 8-12 lessons across beginner → advanced, synthesised section guides, visuals, flashcards, a quiz, exercises, and on-demand deep dives per section. Grounded in the abstract, never invented.