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.
Green-kernel resolvent identity
Statement
Let be at most countable, let be a transition matrix on , and let . Define the extended nonnegative matrix products by the support-restricted sums
Zero-coefficient terms are omitted, so neither product forms the undefined . Then, for every ,
with all sums and equalities in the nonnegative extended reals.
Facts & Assumptions
Given: An at most countable state space and a transition matrix on .
The Green kernel is . Green kernel of a transient chain
For , the nonnegative kernel action is . Nonnegative kernel action and finite drift
A nonnegative double series has the same value in either summation order: , including when the common value is . Tonelli's theorem for double series of nonnegative extended real numbers
In the library's extended-real arithmetic, every product with one factor and the other is undefined. The extended real line , its order, and the arithmetic that is left undefined
A countable set is finite or is in bijection with . Finite, countably infinite, countable, uncountable
The zero-step transition probability is . Transition matrices and n-step probabilities
A nonnegative extended series is the supremum of its finite partial sums. Series in the nonnegative extended real line
Proof
If is a finite positive real and is nonnegative, then . For partial sums , if , continuity of multiplication by gives ; if , the are unbounded and so are . By [F5], every product is defined because .
Fix . For each with , [F1, F2] and step 1.1 give . Terms with are omitted in ; inserting corresponding zero terms in the nonnegative double series is valid because . Apply [F4] to that double series. If is finite, use a finite listing and pad with zeros; if countably infinite, use a bijection with from [F6]. Then [F3] with yields
For each with , [F1] and step 1.1 give . Terms with are omitted in ; inserting their zero finite products in the double series introduces no undefined extended-real product. Tonelli [F4], now summing first over , and [F3] with and second time index give
By [F1, F8], separating the term in the nonnegative series gives . This is a split of nonnegative partial sums, not a subtraction. Using [F7] and steps 2.1 and 2.2 proves both identities. If , there are no and the claim is vacuous. For a one-state absorbing chain, and both support-restricted products equal , so is well defined. Zero transition coefficients are always omitted; positive coefficients may multiply and produce . The argument includes deterministic rows and all zero-time endpoints. It uses no AC: the one enumeration of this fixed countable is part of [F6], and [F4] is proved using finite choice. The lemma states no biconditional.
Depends on
- Green kernel of a transient chain
- Transition matrices and n-step probabilities
- Nonnegative kernel action and finite drift
- Series in the nonnegative extended real line
- Finite, countably infinite, countable, uncountable
- The extended real line $\overline{\mathbb{R}} = \mathbb{R} \cup \{-\infty, +\infty\}$, its order, and the arithmetic that is left undefined
- Matrix Chapman–Kolmogorov equations
- Tonelli's theorem for double series of nonnegative extended real numbers
Used by
Nothing in the library uses this result yet.
Dependency tree · two levels
31 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)
- Levin, Peres and Wilmer, Markov Chains and Mixing Times, second edition (standard reference, not scraped)