📰 AI 资讯
Pseudospectral Bounds for Transient Amplification in Coupled Gradient Descent
2026-07-07
04:00
arXiv:2606.04031v2 Announce Type: replace-cross Abstract: Coupled gradient descent - where the update of one parameter depends on another - arises naturally in bilevel optimization, two-time-scale stochastic approximation, and generative adversarial networks. When the coupled Jacobian is block-triangular, asymptotic stability is determined by the spectral radii of the diagonal blocks, yet transient amplification before convergence can be arbitrarily large due to non-normality. We develop a sharp pseudospectral theory for block-triangular Jacobians J = [[A, 0], [C, D]], proving Kreiss-constant bounds of the form K(J)