A Markov chain mixes when its distribution converges to the stationary distribution π. The total variation distance d_TV(μₜ, π) = ½Σ|μₜ(x)−π(x)| decays geometrically at rate (1 − spectral gap). Slower spectral gap → slower mixing — the chain "remembers" its initial state longer.