On the moments of roots of Laguerre-polynomials and the Marchenko-Pastur law
Abstract
In this paper we compute the leading terms in the sum of the kth power of the roots of Lp(α), the Laguerre-polynomial of degree p with parameter α. The connection between the Laguerre-polynomials and the Marchenko-Pastur distribution is expressed by the fact, among others, that the limiting distribution of the empirical distribution of the normalized roots of the Laguerre-polynomials is given by the Marchenko-Pastur distribution. We give a direct proof of this statement based on the recursion satisfied by the Laguerre-polynomials. At the same time, our main result gives that the leading term in p and (α+p) of the sum of the kth power of the roots of Lp(α) coincides with the kth moment of the Marchenko-Pastur law. We also mention the fact that the expectation of the characteristic polynomial of a XXT type random covariance matrix, where X is a p× n random matrix with iid elements, is (n-p)p, i.e. the monic version of the pth Laguerre polynomial with parameter n-p.
Turn this paper into a lesson
ArcXiv compiles a structured reading guide from this paper's metadata: plain-English importance, contributions, prerequisite concepts, which sections to read first, flashcards, and a quiz. Grounded in the abstract, never invented.