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.
A parent-map bound for isolated components
Statement
Let count connected components with vertices in . For , This upper bound uses a root-parent encoding and does not require the exact count of labelled trees.
Facts & Assumptions
Given: The objects and hypotheses of the Statement.
Goal: Prove the Statement.
Edge indicators for distinct unordered vertex pairs are independent (The Erdős-Rényi finite random graph G(n,p)).
A component consists of all vertices joined to a vertex by finite paths (Connected graphs and connected components defined by the existence of vertex paths).
Expectations are finite weighted sums (Expectation of a real random variable on a finite probability space).
The coefficient counts -element subsets of (The set [A]ᵏ of k-element subsets and the binomial coefficient C(n, k) := | [n]ᵏ|).
An induced subgraph retains exactly the edges with both endpoints in its vertex set; a spanning subgraph has the full vertex set (Subgraphs, induced subgraphs and spanning subgraphs).
A path has distinct vertices and length equal to its number of traversed edges; a cycle is a closed walk of length at least three with no other vertex repetition (Walks, closed walks, trails, paths and cycles, with length equal to the number of traversed edges).
Distance within a connected component is the minimum length of a path between the vertices (Graph distance within a component, eccentricity, diameter and girth, including the acyclic convention).
The indicator of an event is one on that event and zero elsewhere (The indicator random variable of an event).
Proof
Fix a -vertex set and root it at its least labelled vertex. If the induced graph on is connected, every other vertex has a shortest path to the root. Choose as its parent the least labelled neighbor whose distance to the root is one smaller. Following parents strictly decreases distance and reaches the root, so the resulting distinct edges form a connected spanning graph with no cycle. There are at most parent maps, since each nonroot vertex chooses an element of . Each map arising this way requires distinct internal edges.
For to be a component, its crossing pairs must be absent. For each valid parent map from step 1.1 its internal required edges and those crossing pairs are disjoint. Independence gives probability for these requirements. Sum over at most maps and then over the sets . The indicator of a union is bounded by the sum of its indicators; applying the finite expectation formula proves the bound, also at with zero exponents interpreted as empty products.
Depends on
- The Erdős-Rényi finite random graph G(n,p)
- Connected graphs and connected components defined by the existence of vertex paths
- Expectation of a real random variable on a finite probability space
- The set [A]ᵏ of k-element subsets and the binomial coefficient C(n, k) := | [n]ᵏ|
- Subgraphs, induced subgraphs and spanning subgraphs
- Walks, closed walks, trails, paths and cycles, with length equal to the number of traversed edges
- Graph distance within a component, eccentricity, diameter and girth, including the acyclic convention
- The indicator random variable of an event
Dependency tree · 2 levels
Each result is drawn at its shortest distance from this item. Arrows run from prerequisites to the items that use them; this item has a heavier outline. External source nodes link directly to the cited text. The view shows up to two dependency steps; open a prerequisite to continue.