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On a measurable space $(E,\mathcal E)$, a stochastic kernel is a function $p\colon E\times \mathcal E\to [0,1]$ such that:

  1. for each $x\in E$, the function $A\mapsto p(x,A)$ is a probability measure;
  2. for each $A\in\mathcal E$, the function $x\mapsto p(x,A)$ is measurable.

Such a kernel induces a linear operator $P$ on the space $\mathcal B(E)$ of bounded measurable functions $f\colon E\to\mathbb R$ as follows: $$\forall x\in E,\qquad Pf(x):=\int f(y)p(x,dy).$$ Clearly, the linear operator $P\colon \mathcal B(E)\to \mathcal B(E)$ preserves non-negativity and maps the constant function $1$ to itself.

My question is about the converse: is it true that any linear operator $P\colon \mathcal B(E)\to \mathcal B(E)$ preserving non-negativity and mapping $1$ to itself arises in this way ? Of course, the underlying stochastic kernel then has to be $$\forall(x,A)\in E\times\mathcal E,\qquad p(x,A) := P1_A(x),$$ but proving $\sigma-$additivity seems to require extra assumptions on the ambient space $(E,\mathcal E)$, and I was unable to find a reference.

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1 Answer 1

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Not at all. This is a pretty common mistake, for instance reproduced in the erroneous Wikipedia definition of a Markov operator. For the simplest counterexample take just a countable state space $E$. Then the set of positive normalized functionals on $\ell^\infty(E)$ is not exhausted by probability measures on $E$, cf. the notion of Banach limit.

The proper definition of a Markov operator on $L^\infty$ (under which the transition probabilities are well-defined) in addition to positivity and normalization includes the order continuity condition: if $f_n \downarrow 0$, then $Pf_n \downarrow 0$.

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  • $\begingroup$ The reason why the mistake is harmless though is that probabilists avoid the full axiom of choice like the plague, so effectively tend to work in ZF+DC which is consistent with the truth of that statement. $\endgroup$ Commented Nov 16 at 23:54
  • $\begingroup$ @Martin Hairer Not sure whether they do it fully consciously though :) $\endgroup$ Commented Nov 17 at 10:09
  • $\begingroup$ I see, thanks very much to both of you for the clarification... $\endgroup$ Commented Nov 17 at 11:53

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