English

Random Frame Decompositions from Weighted Residual Flows

Functional Analysis 2026-01-05 v1

Abstract

We study the evolution of a positive operator under weighted residual maps determined by a finite family of orthogonal projections. Iterating these maps along the rooted tree of multi-indices produces a "weighted residual energy tree", together with natural path measures obtained by normalizing the dissipated energy or trace at each step. Under a quantitative coverage condition on the projections, we show that along almost every branch the residuals converge strongly to zero and the dissipated pieces admit a rank-one decomposition that reconstructs the initial operator. In the special case where the initial operator is the identity on a subspace, this yields almost surely a random Parseval frame generated intrinsically by the weighted residual dynamics.

Keywords

Cite

@article{arxiv.2601.00349,
  title  = {Random Frame Decompositions from Weighted Residual Flows},
  author = {James Tian},
  journal= {arXiv preprint arXiv:2601.00349},
  year   = {2026}
}
R2 v1 2026-07-01T08:47:50.833Z