Thin perfect matchings relative to fractional matchings

Relative to a fractional perfect matching, how thin can an integral perfect matching be across every cut? In the relaxed problem its edges may lie outside the fractional matching’s support; the support-constrained variant is different.

Why it matters and what counts as progress

Why it matters: Thin matchings would control cut loads in metric-distortion applications.

What counts as progress: A better relaxed thinness factor toward O(1), or a sharper obstruction; polylogarithmic relaxed bounds do not remove the Ω(n) support-restricted barrier.

How the problem developed

  1. 9 Jul 2023 · Conjecture [1]

    Nima Anari, Moses Charikar and Prasanna Ramakrishnan Introduced thin perfect matchings in the metric-distortion setting and conjectured a constant-thin matching relative to any fractional perfect matching.

  2. 31 May 2026 · Partial result [2]

    Alireza Haqi and Shayan Oveis Gharan Proved a polylogarithmic thinness bound when edges outside the fractional matching's support are allowed, and showed support-constrained thinness can require linear dependence on the vertex count.

AI contribution

On Thin Perfect Matchings up to Polylogarithmic Factors

Alireza Haqi, Shayan Oveis Gharan

A connection from relaxed thin perfect matching to a single-tree cut sparsifier helps yield an O(log n log log n)-thin perfect matching relative to any fractional perfect matching, allowing edges outside its support. The separate O(n log n) bound requires support-constrained edges.

AI involvementAI-centered
ImportanceNotable
Technical verificationReported
Human understandingFull
Paper date:

Sources

  1. Anari, Charikar and Ramakrishnan, Distortion in metric matching with ordinal preferences
  2. Haqi and Oveis Gharan, On Thin Perfect Matchings up to Polylogarithmic Factors
  3. Haqi and Oveis Gharan, On Thin Perfect Matchings up to Polylogarithmic Factors
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