Polynomial-time mixing for a matroid flag down-up walk

Prove that, for a matroid M and the probability distribution on maximal flags of flats defined by μ(F_1\subsetneq\dots\subsetneq F_d) proportional to \prod_{i=1}^d (|F_{i+1}|-|F_i|)/|F_{i+1}|, the associated down-up Markov chain mixes in time polynomial in d.

Background

The paper considers the path complex whose faces are flags of flats of a matroid and assigns each maximal flag a nonuniform weight proportional to the product of successive rank-size increments divided by the size of the upper flat. The associated down-up walk is a natural Markov chain for sampling such flags.

The authors note that the partition function of this distribution equals the last coefficient of the matroid’s characteristic polynomial. Consequently, a polynomial mixing-time guarantee would yield algorithmic consequences for counting and sampling problems that remain open in the cited literature.

References

Can we use the machinery developed in this paper to prove the down-up walk Markov chain mixes in time polynomial in $d$?

Optimal Trickle-Down Theorems for Path Complexes via C-Lorentzian Polynomials with Applications to Sampling and Log-Concave Sequences  (2503.01005 - Leake et al., 2 Mar 2025) in Section 1, Section 1 Discussion, final list of open problems, item 1