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.
The mean has an unbounded directional derivative supremum
Example
On with its Borel sigma-algebra, for and , the mean functional has and right derivative at . Each path law has finite support and hence a finite first moment. Taking the supremum of the absolute derivatives over gives .
Facts & Assumptions
Given: The gross-error path and point masses , .
The Dirac set function at a point and A Dirac set function is a probability measure: is a probability law concentrated at .
Expectation agrees with the published finite weighted sum: on a finite probability space, expectation is the finite weighted sum of attained values.
The Borel sigma-algebra of a topological space: the real line carries the sigma-algebra generated by its open sets, so the identity function is measurable.
Verification
By [F1] and [F2], the path law places weight at and weight at ; this also covers , when both atoms coincide.
The identity function is measurable for the Borel sigma-algebra because each Borel set is its own preimage under the identity. Let with its full power-set sigma-algebra and weights . Since the complement of has path-law measure zero, the integral of the identity is the integral of its restriction to this finite probability space: both are the same finite sum over the distinct atoms (apply the simple-function integral separately to the positive and negative parts). Thus [F3] gives , while .
For , the difference quotient is , so the right derivative at zero is . Since ranges over all real numbers, the supremum of its absolute value is .
Depends on
Used by
Nothing in the library uses this result yet.
Dependency tree · two levels
17 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
- P. B. Stark, Statistics 240 Lecture Notes, Part 9: Robustness and Related Topics, §1.3.4, equations (50)–(52) (standard reference, not scraped)