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.
Handshake lemma: the sum of the vertex degrees is twice the number of edges
Statement
For every finite simple graph ,
as an identity of natural numbers. It remains valid for the null graph, when both sides are .
Facts & Assumptions
Given: A finite simple graph .
For a relation between finite sets, the sum of the row-fibre cardinalities and the sum of the column-fibre cardinalities both equal (Double counting: for a relation between finite sets).
The row and column fibres of a finite incidence relation are finite and are defined by fixing the first or second coordinate (A relation between finite sets, its row fibres and its column fibres ).
is the number of edges incident with (Adjacency, incidence, open and closed neighbourhoods, vertex degree, minimum degree and maximum degree).
Proof
Define the incidence relation . Its row fibre at is the set of edges incident with , so it has cardinality by [F2].
Every edge is a two-element subset of , so its column fibre has cardinality .
Applying [L1] to and using steps 1.1 and 1.2 gives .
Depends on
- Adjacency, incidence, open and closed neighbourhoods, vertex degree, minimum degree and maximum degree
- Double counting: $\sum_{x \in X}\lvert R_x\rvert = \lvert R\rvert = \sum_{y \in Y}\lvert R^y\rvert$ for a relation between finite sets
- A relation $R \subseteq X \times Y$ between finite sets, its row fibres $R_x$ and its column fibres $R^y$
Used by
- Every finite graph has an even number of vertices of odd degree Corollary
- Every nonnull simple planar graph has a vertex of degree at most five Corollary
- K₅ and K_3,3 are nonplanar Corollary
- K_3,3 satisfies |E|≤3|V|-6 but is nonplanar, so the planar edge bound is not sufficient Counterexample
- ind_K₂(G)=2|E(G)| under the induced-embedding convention Example
- K₅ and K_3,3 illustrate complete and complete bipartite graphs, degrees and edge counts Example
- The isomorphism types of trees on at most five vertices Example
Dependency tree · next 3 levels
Direct dependencies and their dependencies through the next three levels: 33 results over 13 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
- Cornell Mathematics, Graph Theory notes (standard reference, not scraped)