A Tight Lower Bound for Counting Hamiltonian Cycles via Matrix Rank
Radu Curticapean, Nathan Lindzey, Jesper Nederlof

TL;DR
This paper establishes a new lower bound for counting Hamiltonian cycles parameterized by pathwidth, using a novel technique that relies on matrix rank bounds rather than structural submatrix properties.
Contribution
It introduces a new pattern propagation technique for lower bounds based solely on asymptotic matrix rank bounds, applicable without large permutation submatrix assumptions.
Findings
Rank of matchings connectivity matrix over rationals is 4^k / poly(k)
Rank over finite fields is at least 1.97^k, some primes 2.15^k
Hamiltonian cycle counting cannot be done faster than 6^pw time under SETH
Abstract
For even , the matchings connectivity matrix encodes which pairs of perfect matchings on vertices form a single cycle. Cygan et al. (STOC 2013) showed that the rank of over is and used this to give an time algorithm for counting Hamiltonian cycles modulo on graphs of pathwidth . The same authors complemented their algorithm by an essentially tight lower bound under the Strong Exponential Time Hypothesis (SETH). This bound crucially relied on a large permutation submatrix within , which enabled a "pattern propagation" commonly used in previous related lower bounds, as initiated by Lokshtanov et al. (SODA 2011). We present a new technique for a similar pattern propagation when only a black-box lower bound on the asymptotic rank of is…
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
TopicsMarkov Chains and Monte Carlo Methods · Error Correcting Code Techniques · Complexity and Algorithms in Graphs
