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 negative gradient of a log-homogeneous cone barrier is dual feasible
Statement
Let be a proper cone in a finite-dimensional real inner-product space and let be a differentiable -log-homogeneous barrier on . Then for every ,
Facts & Assumptions
Given: The dual-cone and log-homogeneity definitions in Conic, LP, and convex QP primal-dual models and Self-concordant log-homogeneous barriers and their local geometry.
Proof
Fix and let for . The sum of an interior cone point and a cone point is interior, so is defined and convex. Log-homogeneity gives for , which tends to as . If , convexity would imply , a contradiction. Thus for all interior .
For any and , : an open ball around lies in , and adding keeps that ball in . Step 1.1 applied to and continuity of the linear functional as give . Hence pairs nonnegatively with every , so it lies in by [F1]. Differentiating at gives .
Depends on
Used by
Dependency tree · two levels
4 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
- Stephen Boyd and Lieven Vandenberghe, Convex Optimization (standard reference, not scraped)
- Hamza Fawzi, Topics in Convex Optimisation, Lecture 15 (standard reference, not scraped)