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.
Graphs, Walks and Connectivity — Examples
1 · Prerequisites
- Construction of the Natural Numbers
- Construction of the Real Numbers via Cauchy Sequences
- Construction of the Real Numbers via Dedekind Cuts
- Countability and Uncountability
- Finite Counting, Factorials and Binomial Coefficients
- Foundations of the Real Numbers for Analysis
- Graphs, Walks and Connectivity
- Inclusion–Exclusion, the Pigeonhole Principle and Double Counting
- Relations, Functions, and Quotients
- Roots, Rational Powers, and Classical Inequalities
- The ZFC Axioms and the Basic Set Constructions
2 · Summary
3 · Logical flowchart
4 · Definitions, theorems and proofs
None yet.
5 · Examples, counterexamples and false statements
A small graph separates walks, trails, paths, closed walks and cycles by explicit vertex lists
Example
Let have vertex set and edge set , where abbreviates . The following lists separate the standard notions:
- is a walk but not a trail;
- is a trail but not a path;
- is a path;
- is a closed walk but not a cycle;
- is a cycle.
Facts & Assumptions
Given: The graph and the vertex lists displayed above.
Walks require adjacent successive vertices; trails do not repeat edges; paths do not repeat vertices; cycles repeat only their first vertex at the end and have length at least (Walks, closed walks, trails, paths and cycles, with length equal to the number of traversed edges).
The displayed edge set is a subset of the two-element subsets of the finite vertex set, so is a finite simple graph (A finite simple graph is a finite vertex set together with a set of two-element vertex subsets).
Verification
Every successive pair in every displayed list is one of , so every list is a walk in .
The list traverses twice, so it is not a trail. The list traverses the distinct edges but repeats vertex , so it is a trail and not a path.
The list has four distinct vertices, so it is a path. The list is closed but repeats the edge and has length , so it is not a cycle.
The list is closed, has length , and has distinct vertices before returning to , so it is a cycle.
Connected components, finite within-component distances, undefined cross-component distance and girth are computed in a disconnected graph
Example
Let have vertices and edges . Its components are the triangle on and the path on . Within them,
The distance is undefined. The graph has girth ; its path component is acyclic and has girth .
Facts & Assumptions
Given: The graph described in the Example.
Components are induced by path-reachability, and the component vertex sets partition the graph (Connected graphs and connected components defined by the existence of vertex paths, The connected components of a graph partition its vertex set and are its maximal connected subgraphs).
Distance is the minimum path length within one component and is not assigned across components; girth is the least cycle length, with value for an acyclic graph (Graph distance within a component, eccentricity, diameter and girth, including the acyclic convention).
Verification
The vertices reach one another along triangle edges, and reach one another along . No edge joins these two sets, so [F1] gives exactly the two stated components.
The edges and give the two distances . The path has length , while and are not adjacent, so .
Since and lie in different components, is undefined by [F2]. The triangle is a cycle of length , no cycle can have smaller length, and the path component has no cycle; the girth assertions follow.
and illustrate complete and complete bipartite graphs, degrees and edge counts
Example
The complete graph has degree at every vertex and has edges. The complete bipartite graph has degree at every vertex and has edges.
Facts & Assumptions
Given: The standard graphs and .
contains every pair of its five vertices as an edge, while has two three-element parts and every edge between the parts (Empty and complete graphs, complete bipartite graphs, and the convention that and have vertices).
The sum of degrees is twice the number of edges (Handshake lemma: the sum of the vertex degrees is twice the number of edges).
Verification
Each vertex of is adjacent to the other four vertices, so its degree is ; [L1] gives .
Each vertex of is adjacent to all three vertices in the opposite part and none in its own part, so all six vertices have degree .
By [L2], , hence .
The Petersen graph has ten vertices, is cubic, has girth five and has
Example
For , the Petersen graph on has ten vertices, is cubic, has girth , and satisfies
Facts & Assumptions
Given: The Petersen graph whose vertices are the two-element subsets of , adjacent exactly when disjoint.
This is the Petersen graph of The Petersen graph on the two-element subsets of a five-element set, adjacent when disjoint.
An -element set has two-element subsets (A finite set with elements has exactly two-element subsets, and ).
Girth is the least cycle length, with the acyclic convention (Graph distance within a component, eccentricity, diameter and girth, including the acyclic convention).
and are the minimum sizes of vertex and edge cuts (Vertex cuts, edge cuts, vertex connectivity and edge connectivity , with conventions for complete and one-vertex graphs).
Whitney's inequalities give for a nontrivial connected graph (Whitney's inequalities: for every nontrivial connected graph).
Verification
The vertex set has elements by [L1]. For a vertex , its neighbours are the two-element subsets of the three-element complement , so it has neighbours. Thus is cubic and .
If distinct vertices are disjoint, their union has four elements and there is no two-element subset disjoint from both. If they intersect, their union has three elements and its two-element complement is their unique common neighbour.
Deleting any two vertices leaves a connected graph. Up to relabelling , two deleted two-element subsets are either the disjoint pair or the intersecting pair . In the first case the remaining vertices have the spanning path ; in the second they have the spanning path . Every successive pair displayed is disjoint. Relabelling preserves disjointness, so these cases cover every pair.
There is no triangle: adjacent vertices are disjoint and have no common neighbour by step 1.2. There is no -cycle, because its two opposite vertices would have two distinct common neighbours, also impossible by step 1.2.
Every two distinct vertices are at distance at most : disjoint ones are adjacent, and intersecting ones have the common neighbour from step 1.2. Hence is connected.
The vertices in that order form a -cycle, since consecutive sets, including and , are disjoint. With step 2.1 and [F2], this proves .
No set of at most two edges disconnects . Indeed, if such a deletion produced a component on a smallest vertex set , then . Writing for the number of edges inside , cubicity gives edges leaving . For this number is at least , since a simple triangle-free graph on those sizes has at most edges. For , the absence of triangles and -cycles makes the induced graph acyclic, so it has at most edges and at least edges leave. For , it is either acyclic with at most edges or is a chordless -cycle with edges, so at least edges leave. Every case has at least three boundary edges, a contradiction. Therefore .
Deleting one vertex also leaves a connected graph: choose a second vertex, use step 1.3 on the remaining eight, and then add the second vertex back; it retains at least two of its three neighbours. Step 2.2 covers deletion of no vertices. Thus no vertex cut has size at most , and .
By [L2] and step 1.1, . Together with step 3.2 this gives .
Whitney's inequality [L2] and step 4.1 give , while step 3.3 gives the reverse bound. Hence ; both lower bounds were obtained in steps 3.2 and 3.3, which use the cubic regularity of .
Two triangles sharing one vertex form a connected simple graph with all degrees even that is not a cycle
Statement refuted
The false statement FALSE: a connected simple graph in which every vertex has even degree must itself be a cycle claims that every connected simple graph whose degrees are all even is itself a cycle.
Facts & Assumptions
Given: The graph with vertices and edges .
Degree is the number of neighbours (Adjacency, incidence, open and closed neighbourhoods, vertex degree, minimum degree and maximum degree).
In the cycle graph each vertex is joined by an edge exactly to its predecessor and its successor modulo (Empty and complete graphs, complete bipartite graphs, and the convention that and have vertices); with [F1] this gives every vertex of a cycle graph degree .
Counterexample
The edges form the triangles and . Every vertex reaches within its triangle, so every two vertices are joined by a path and is connected.
The vertex has degree , while each have degree . Thus every degree is even by [F1].
Since has degree , [F2] shows that is not a cycle graph. Steps 1.1 and 1.2 supply the required connected even-degree counterexample.
Remarks
Two dense lobes meeting at one cut vertex give
Statement refuted
The false statement FALSE: vertex connectivity, edge connectivity and minimum degree are always equal claims that vertex connectivity, edge connectivity and minimum degree always agree.
Facts & Assumptions
Given: For , take vertices spanning with the edge deleted. Add one vertex , add the edges for both , and add no edge between the two four-vertex lobes.
and are the least sizes of vertex and edge cuts (Vertex cuts, edge cuts, vertex connectivity and edge connectivity , with conventions for complete and one-vertex graphs).
is the least vertex degree (Adjacency, incidence, open and closed neighbourhoods, vertex degree, minimum degree and maximum degree).
Counterexample
The graph is connected, and deleting separates the two lobes. No deletion of zero vertices disconnects a connected graph, so .
In each lobe, and have two neighbours inside the lobe and the neighbour , so degree ; have degree inside the lobe; and has degree . Hence .
Deleting and separates the first lobe from the rest, so .
Every edge lies on a cycle. The edges and lie on the -cycle . Each internal edge incident with lies on the triangle , and each internal edge incident with lies on . Thus deleting one edge leaves an alternate path between its endpoints and cannot disconnect the graph, so .
Steps 1.3 and 1.4 give . Together with steps 1.1 and 1.2, this proves and refutes equality in both Whitney inequalities.
Remarks
A worked graph records vertex deletion, edge deletion, edge contraction and the resulting minor model
Example
Let have vertices and edges . Then:
- is the triangle on ;
- is the cycle ;
- contracting produces the triangle on the new vertex and vertices , so this triangle is a minor of .
The contraction deletes the loop arising from and merges the two copies of arising from and .
Facts & Assumptions
Given: The graph displayed in the Example.
Vertex deletion takes the induced subgraph on the remaining vertices, edge deletion removes the named edge, and contraction deletes loops and merges parallel images (Vertex and edge deletion, edge contraction, graph minors, subdivisions and topological minors, Subgraphs, induced subgraphs and spanning subgraphs).
Verification
Deleting vertex retains exactly , the three edges of a triangle on . Deleting edge retains exactly , the four-cycle.
Under contraction of to , the edge becomes a loop and is deleted; and both become and merge; becomes ; and remains . The resulting simple edge set is , a triangle.
Since this triangle is obtained from by an allowed edge contraction, it is a minor of .
Sources
Standard references
Recommended treatments; not extraction sources.