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.
Equivalent characterisations of a nonempty tree by unique paths, edge count, minimal connectivity and maximal acyclicity
Statement
For a finite nonempty graph , the following are equivalent:
- is a tree.
- Every two vertices are joined by a unique path.
- is connected and .
- is acyclic and .
- is minimally connected: it is connected, but deleting any edge disconnects it.
- is maximally acyclic: it is acyclic, but adding any missing edge creates a cycle.
Facts & Assumptions
Given: A finite nonempty graph .
Forests satisfy , and trees satisfy (For every forest, , where is the number of connected components, A tree on vertices has edges).
Deleting a tree edge disconnects the tree, and adding a missing edge to a tree creates one cycle (Deleting any edge of a tree separates it into exactly two tree components, Adding an edge between two nonadjacent vertices of a tree creates exactly one cycle).
A tree is connected and acyclic (Trees, forests, leaves and isolated vertices).
Connectedness and paths use the standard graph meanings (Connected graphs and connected components defined by the existence of vertex paths, Walks, closed walks, trails, paths and cycles, with length equal to the number of traversed edges).
Proof
If is a tree, connectedness supplies a path between each two vertices, and two distinct paths would contain a cycle. Thus condition 1 implies condition 2.
Under condition 2, is connected. Deleting any edge leaves no - path, because such a path together with would give a second path in . Thus condition 2 implies condition 5.
Suppose condition 5 holds. If contained a cycle, deleting one edge of that cycle would leave its endpoints joined around the rest of the cycle and would not disconnect . Hence is acyclic and therefore is a tree. Thus condition 5 implies condition 1.
Condition 1 implies condition 3 by the tree edge count.
Under condition 3, suppose had a cycle. Repeatedly delete an edge from a cycle; each deletion preserves connectedness, and finiteness makes the process stop at a connected acyclic spanning graph . At least one edge was deleted, so , while the forest identity with one component gives , a contradiction. Hence condition 3 implies condition 1.
Under condition 4, the forest identity gives , so and is a tree. Conversely condition 1 implies condition 4 by definition and the tree edge count.
Condition 1 implies condition 6 by edge addition.
Under condition 6, if were disconnected, vertices in different components would be nonadjacent and adding an edge between them could create no cycle. Hence is connected, and its assumed acyclicity makes it a tree.
All six conditions are therefore equivalent.
Depends on
- Trees, forests, leaves and isolated vertices
- For every forest, $|V|=|E|+c$, where $c$ is the number of connected components
- A tree on $n\ge1$ vertices has $n-1$ edges
- Deleting any edge of a tree separates it into exactly two tree components
- Adding an edge between two nonadjacent vertices of a tree creates exactly one cycle
- Subgraphs, induced subgraphs and spanning subgraphs
- Connected graphs and connected components defined by the existence of vertex paths
- Walks, closed walks, trails, paths and cycles, with length equal to the number of traversed edges
Used by
- Every tree with at least two vertices has at least two leaves Corollary
- A graph on n vertices with n-1 edges need not be a tree Counterexample
- Rooted trees, ancestors, descendants, depth, height, parents and children Definition
- The isomorphism types of trees on at most five vertices Example
- τ(Cₙ)=n for every n≥3 Example
- Every edge outside a spanning tree determines a unique fundamental cycle Lemma
- Every nonroot vertex has a unique parent, and adjacent vertices have depths differing by one Lemma
Dependency tree · next 3 levels
Direct dependencies and their dependencies through the next three levels: 50 results over 20 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
- Reinhard Diestel, Graph Theory, Preview Chapter 1 (standard reference, not scraped)