HANKEL DETERMINANTS OF CERTAIN SEQUENCES OF BERNOULLI POLYNOMIALS: A DIRECT PROOF OF AN INVERSE MATRIX ENTRY FROM STATISTICS

We calculate the Hankel determinants of certain sequences of Bernoulli polynomials. This corresponding Hankel matrix comes from statistically estimating the variance in nonparametric regression. Besides its entries’ natural and deep connection with Bernoulli polynomials, a special case of the matrix can be constructed from a corresponding Vandermonde matrix. As a result, instead of asymptotic analysis, we give a direct proof of calculating an entry of its inverse. Further extensions also include an identity of Stirling numbers of both kinds.

Duke Scholars

Author Lin Jiu DKU Faculty