Second-order perturbation bounds for Gibbs samplers under strong spatial mixing

The basic question in perturbation analysis of Markov chains is how small changes in their transition kernels affect their stationary distributions. Classical perturbation bounds typically require the kernel error to be much smaller than $1/τ$, where $τ$ is a mixing or relaxation time. Although this