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 trivial partition has energy , while the singleton partition records every adjacency
Statement
Let be an -vertex graph with and edges. The one-part partition has energy whereas the partition into singletons has energy . The latter is at least the former. For the null graph both energies are by convention.
Facts & Assumptions
Given: A finite graph and its trivial and discrete partitions.
Partition energy is the ordered part-pair weighted sum of squared densities, with null-graph value (The mean-square density, or energy, of a vertex partition).
Energy cannot decrease under refinement (Energy lies in and cannot decrease under refinement).
Verification
For the one-part partition, the ordered-pair density is , so [L1] gives energy .
In the singleton partition, an ordered pair of distinct singleton parts has squared density exactly when its two vertices are adjacent; diagonal densities and nonedge densities are . Every edge contributes its two orientations, so [L1] gives energy .
Since , its square is no larger than itself, agreeing with [L2] because the singleton partition refines the trivial one. The null case is the convention in [L1].
Depends on
Used by
Nothing in the library uses this result yet.
Dependency tree · next 3 levels
Direct dependencies and their dependencies through the next three levels: 11 results over 7 levels. An arrow runs from a result to what uses it, and this result sits at the bottom with a heavier outline. Click the chart to enlarge it.
Sources
- Y. Zhao, Graph Theory and Additive Combinatorics, Definition 2.1.10 (standard reference, not scraped)