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.
Strong-convexity inequality for a perturbed gradient point
Statement
Let be continuously differentiable, let be -Lipschitz, and suppose is -strongly convex with . Then for every ,
Statement references
Facts & Assumptions
Given: The smoothness and strong-convexity hypotheses in the Statement.
Descent inequality for a Lipschitz gradient: -Lipschitz gradients satisfy .
Strong convexity means for all .
Proof
Rearranging [F1] and applying [F2] at the same point give [given] Add the inequalities and use [F3]. This yields
Since , . Replacing the last coefficient by the weaker proves the claimed bound.
Depends on
Used by
Dependency tree · two levels
22 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
- Sai Praneeth Karimireddy et al., SCAFFOLD, Appendix C, Lemma 5 (standard reference, not scraped)