English

Classification in Active Dimension 2 for Weighted Residual Dynamics

Functional Analysis 2026-03-17 v1

Abstract

We study weighted residual dynamics associated with a rank-one projection in finite dimension. The iteration reduces, after finitely many steps, to a nonlinear recursion on a stabilized active subspace. We prove that this recursion can be classified when the active dimension is two: either a transverse reducing direction persists unchanged, or the coupled part collapses completely. As a consequence, we obtain a description of the limit in the active two-dimensional case and identify the threshold beyond which higher-dimensional behavior becomes more flexible.

Keywords

Cite

@article{arxiv.2603.15291,
  title  = {Classification in Active Dimension 2 for Weighted Residual Dynamics},
  author = {James Tian},
  journal= {arXiv preprint arXiv:2603.15291},
  year   = {2026}
}
R2 v1 2026-07-01T11:22:18.537Z