I will first give an elementary introduction to Markov operators, and how operator theory is connected to Markov chain convergence analysis. I then consider a Monte Carlo chain for Bayesian linear regression with errors from a scale mixture of normals. I will explain how the mixing density affect the spectral property of the associated Markov operator.