Improving coupling-based spectral gap bounds to avoid exponential dependence on dimension

Investigate whether the combination of geometric drift conditions with close-coupling (local Doeblin/minorization) derived from total-variation Hölder continuity of conditionals can be refined to yield spectral gap bounds for Gibbs samplers that do not deteriorate exponentially with the dimension d.

Background

Sequential coupling yields close-coupling conditions reminiscent of local Doeblin conditions; together with drift/minorization theory, this can provide geometric convergence rates.

A direct use of these conditions here gives spectral gap bounds that scale exponentially poorly with dimension, and it is presently unclear whether the approach can be sharpened.

References

Nevertheless, a naive application of Propositions \ref{ssgibbsccc} and \ref{rsgibbsccc} leads to spectral gap bounds that scale exponentially with the dimension. It is unclear whether this approach can be improved in the present setting.

— Mixing Time Bounds for the Gibbs Sampler under Isoperimetry  (2506.22258 - Goyal et al., 27 Jun 2025) in Close coupling conditions for the Gibbs kernels (Section 4.2)