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Let and be Borel spaces.
The stochastic kernel is said to be weakly continuous, or satisfying the Feller property (or most commonly: Weak Feller) if the function is Continuous and bounded in whenever is continuous and bounded in i.e.
In simple terms, we can think of the function as a probability and what we’re saying is that our stochastic kernel is Weak Feller if it maps bounded continuous functions to bounded continuous functions. This basically means that the transition probabilities “respect” continuity: if you start at nearby states, your expected future values don’t jump around wildly.
The Stochastic Kernel is Weak Feller if such that then
So this definition implicitly is equivalent to our initial definition of given that for a weakly continuous then we get that for every Continuous and bounded .
The stochastic kernel is said to be strongly continuous or Strong Feller if the function is Continuous and bounded in whenever is measurable and bounded in i.e.
This property relaxes the Weak Feller property in that it maps bounded measurable functions to bounded continuous functions. So essentially, our kernel “regularizes” any initial function we throw at it.