Derandomizing Isolation In Catalytic Logspace
V. Arvind, Srijan Chakraborty, Samir Datta

TL;DR
This paper explores derandomization techniques in catalytic logspace, providing algorithms for search problems, analyzing the class CL^{NP}_{2-round}, and establishing containment results for reachability and LogCFL within catalytic classes.
Contribution
It introduces a catalytic logspace algorithm for minimum weight witnesses, analyzes the structure of CL^{NP}_{2-round}, and extends catalytic bounds to reachability and LogCFL.
Findings
Catalytic logspace algorithms for planar perfect matching and weighted arborescences.
CL^{NP}_{2-round} contains SearchSAT, BPP, MA, and ZPP^{NP[1]} classes.
Reachability and LogCFL are contained in certain catalytic classes.
Abstract
A language is said to be in catalytic logspace if we can test membership using a deterministic logspace machine that has an additional read/write tape filled with arbitrary data whose contents have to be restored to their original value at the end of the computation. The model of catalytic computation was introduced by Buhrman et al [STOC2014]. As our first result, we obtain a catalytic logspace algorithm for computing a minimum weight witness to a search problem, with small weights, provided the algorithm is given oracle access for the corresponding weighted decision problem. In particular, our reduction yields CL algorithms for the search versions of the following three problems: planar perfect matching, planar exact perfect matching and weighted arborescences in weighted digraphs. Our second set of results concern the significantly larger class CL^{NP}_{2-round}. We show that…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsComplexity and Algorithms in Graphs · Cryptography and Data Security · Advanced Graph Theory Research
