paper

Exponent Profiles of Oscillatory Matrices under Matrix and Inverse Sparsity

arXiv:2609.35846

Abstract

We classify the simultaneous half-bandwidths of a symmetric oscillatory matrix and its inverse. At order , the possible pairs are , , and all pairs with . Let be the least positive integer for which all minors of order of are positive, and let . Put and . At every feasible pair of actual half-bandwidths, \[ \max_A e(A)= \max\left\{\left\lfloor\frac n2\right\rfloor, n-a-\left\lfloor\frac{\max\{n-p-q,0\}}{b}\right\rfloor\right\}. \] We also determine the maximum of for every pair. When , one realization maximizes all simultaneously. Write , with unit upper triangular and totally nonnegative, and positive diagonal. Let be the least number of elementary upper bidiagonal factors with positive parameters whose product is . At fixed , its minimum is . One symmetric integer matrix of determinant one simultaneously attains this minimum, the maximum exponent, and the maximum exponent sum. We prove for every integer , with the starting point optimal. With , the exponent sum satisfies , with both constants sharp. The lower deficit bound is attained at every admissible factor count. Within the symmetric class, a total sum of characterizes basic matrices. In the basic oscillatory class, without a symmetry assumption, a positive integer vector is realizable if and only if and for , and for . Explicit factor orders realize every such vector.

arXiv comment32 pages, 0 figures. Added the exact maximum exponent in the sparse bandwidth range and a sharp cutoff for factor-count increments