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PreprintCC BY 4.0arXiv

Afterimage Slow Regions in First-Order Methods for Linear Conic Programming

Abstract

First-order methods for linear conic programming often stall on long plateaus. Existing analyses characterize when during a run or on which problem instances slow convergence occurs; we instead ask where in the state space slow convergence is present. We introduce the slow region family for parameterized averaged fixed-point iterations. On a slow region, one step moves the state by only a small fraction of its distance to the fixed-point set, so an orbit starting there keeps almost its initial distance for arbitrarily many iterations. We then develop the afterimage principle to construct them. A center family and a nearby petal family share the same limit parameter, so their residual fields become close, while their fixed-point sets or forward drifts stay far apart. The petal geometry then certifies a slow region for the center. We verify the standing assumptions for ADMM, sGS-ADMM, and PDHG, and give an LP, SOCP, and SDP gallery showing how varied slow regions can be.

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BibTeX
@misc{kang2026afterimage,
  title = {{Afterimage Slow Regions in First-Order Methods for Linear Conic Programming}},
  author = {Shucheng Kang and Heng Yang},
  howpublished = {arXiv},
  year = {2026},
  month = sep,
  doi = {10.48550/arxiv.2609.09449},
  eprint = {2609.09449},
  archivePrefix = {arXiv},
  url = {https://arxiv.org/abs/2609.09449},
  note = {CC BY 4.0},
}
RIS
TY  - UNPB
TI  - Afterimage Slow Regions in First-Order Methods for Linear Conic Programming
AU  - Shucheng Kang
AU  - Heng Yang
PY  - 2026
DA  - 2026/09/08
PB  - arXiv
DO  - 10.48550/arxiv.2609.09449
UR  - https://arxiv.org/abs/2609.09449
AB  - First-order methods for linear conic programming often stall on long plateaus. Existing analyses characterize when during a run or on which problem instances slow convergence occurs; we instead ask where in the state space slow convergence is present. We introduce the slow region family for parameterized averaged fixed-point iterations. On a slow region, one step moves the state by only a small fraction of its distance to the fixed-point set, so an orbit starting there keeps almost its initial distance for arbitrarily many iterations. We then develop the afterimage principle to construct them. A center family and a nearby petal family share the same limit parameter, so their residual fields become close, while their fixed-point sets or forward drifts stay far apart. The petal geometry then certifies a slow region for the center. We verify the standing assumptions for ADMM, sGS-ADMM, and PDHG, and give an LP, SOCP, and SDP gallery showing how varied slow regions can be.
ER  -