English

Quadratic Speedup for Computing Contraction Fixed Points

Computational Complexity 2026-02-12 v1 Data Structures and Algorithms

Abstract

We study the problem of finding an ϵ\epsilon-fixed point of a contraction map f:[0,1]k[0,1]kf:[0,1]^k\mapsto[0,1]^k under both the \ell_\infty-norm and the 1\ell_1-norm. For both norms, we give an algorithm with running time O(logk/2(1/ϵ))O(\log^{\lceil k/2\rceil}(1/\epsilon)), for any constant kk. These improve upon the previous best O(logk(1/ϵ))O(\log^k(1/\epsilon))-time algorithm for the \ell_{\infty}-norm by Shellman and Sikorski [SS03], and the previous best O(logk(1/ϵ))O(\log^k (1/\epsilon ))-time algorithm for the 1\ell_{1}-norm by Fearnley, Gordon, Mehta and Savani [FGMS20].

Keywords

Cite

@article{arxiv.2602.10296,
  title  = {Quadratic Speedup for Computing Contraction Fixed Points},
  author = {Xi Chen and Yuhao Li and Mihalis Yannakakis},
  journal= {arXiv preprint arXiv:2602.10296},
  year   = {2026}
}
R2 v1 2026-07-01T10:30:46.067Z