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.
Expander walk hits dense bad sets
Example
On a Margulis graph, a fixed bad vertex set of density at least is missed by a stationary -step walk with probability at most , for . The stationary-start requirement cannot simply be deleted.
Facts & Assumptions
Given: the objects and hypotheses in the statement above.
Let and let be a fixed vertex set of density . For a walk begun from the uniform distribution and taking steps (thus sampling vertices), A zeroth power is interpreted as one even when its base is zero. (Expander walk hits dense bad sets).
For every the normalized Margulis adjacency has absolute nontrivial norm , hence algebraic gap at least . For the mean-zero space is zero and . (Margulis family has uniform spectral gap).
Verification
The Margulis bound gives . In the avoidance estimate, and . All factors are nonnegative, so multiplication yields the displayed estimate, including .
For a concrete start issue take modulus and let be one of the four vertices. A deterministic start outside misses at time zero with probability one, whereas the stationary formula gives . Thus it does not hold unchanged for arbitrary starts. On the singleton graph a set of density at least is the full set and avoidance is zero.
Depends on
Used by
Nothing in the library uses this result yet.
Dependency tree · two levels
5 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.