Plain-English statement
Identity and Chapman--Kolmogorov transition-kernel laws induce the zero-time and composition laws for Markov operators.
Mathematical statement
For measurable nonnegative observables, P_0 = id and P_s P_t = P_t P_s = P_{s+t}.
Intuition
Integrating first over one transition and then the next is exactly kernel composition; time homogeneity makes the total elapsed time the only parameter.
Conditions
- measurable state space
- a Markov transition kernel for every nonnegative time
- identity kernel at time zero
- Chapman--Kolmogorov composition
Why these conditions cannot be dropped
- measurability makes kernel integration an observable
- Markov kernels preserve constants
- the two kernel identities are the process-level content of the semigroup law
Proof route
- define P_t by lintegration against K_t
- use Kernel.lintegral_id' at zero
- use Kernel.lintegral_comp after Chapman--Kolmogorov
- use commutativity of nonnegative-time addition
Lean interface notes
- the operator law is proved from kernels rather than stored as a field
- concrete process construction and time continuity remain separate
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Lean statement
theorem chewi_lemma_1_2_2 {K : ℝ≥0 → Kernel E E}
(hK : TransitionKernelContract K) :
markovOperator hK 0 = id ∧
∀ s t : ℝ≥0,
markovOperator hK s ∘ markovOperator hK t =
markovOperator hK (s + t) ∧
markovOperator hK t ∘ markovOperator hK s =
markovOperator hK (s + t) := by
constructor
· exact markovOperator_zero hK
· intro s t
constructor
· exact markovOperator_comp hK s t
· simpa [add_comm] using markovOperator_comp hK t s
end
end MarkovSemigroup
end StochasticProcesses
end TechnicalLemmas
end AutoSamplingTheory
Open AutoSamplingTheory/TechnicalLemmas/StochasticProcesses/MarkovSemigroup.lean:119published source at 7bcd37294df1