How statement and proof provenance work
The first chip identifies the source of the statement or construction; the second identifies the source of its local proof or verification.
- Literature-sourced: the exact statement appears in a cited source; only wording and notation differ.
- AI-adapted: a semantically identical restatement of literature-sourced material, modulo indexing, notation, and boundary cases adopted by the library.
- AI-generated: a genuinely novel statement formulated by AI, with no source for the claim itself.
These labels describe origin, not correctness: citations and verification chips remain separate evidence.
Different classes can have different recurrence types
Statement refuted
The false assertion is that recurrence or transience must be shared by all states in a Markov chain, including states in different communicating classes.
Facts & Assumptions
Given: The two-state space and transition matrix
States communicate exactly when each is accessible from the other, and means for some . (Accessibility, communication, and irreducibility)
The zero-step matrix is . (Transition matrices and n-step probabilities)
The matrix powers satisfy for . (Matrix Chapman–Kolmogorov equations)
The positive return time is . (Hitting, return, and visit times)
State is recurrent if and transient if this probability is less than one. (Recurrent and transient states)
Counterexample
The entries of are nonnegative and its two row sums are and , so the displayed table is a stochastic matrix.
The row from is concentrated at . By induction using [F3], and for every . Meanwhile , so but . By [F1] and the zero-step identity [F2], the communication relation on these two states is equality; hence its two communicating classes are and .
From state , the chain stays at at every step because . Thus almost surely and ; state is recurrent by [F5].
From state , on the first-step transition to , which has probability . On the other first-step transition, and the chain then stays at , so . Hence , and state is transient by [F4, F5, given]. This verifies the claimed difference in recurrence type across the two distinct classes.
The witness has two states, so the empty-space and one-state cases cannot arise here. The zero transition is essential to the class separation, and the absorbing row at supplies the no-return branch from . The return time starts at , so the initial visit at time zero is not counted. The computation uses only the explicit finite transition table and no choice function; it proves a one-way counterexample, not an iff statement.
Depends on
Used by
Nothing in the library uses this result yet.
Dependency tree · two levels
12 results within two dependency steps of this one, each drawn at its shortest distance from it. An arrow runs from a result to what uses it, so the chart reads left to right and ends at this result, which carries a heavier outline. Every node is a link to that result. Click elsewhere on the chart to enlarge it.
Sources
- Durrett, Probability: Theory and Examples, fifth edition (standard reference, not scraped)