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 finite graph boundary gives two-uniform witnesses
Statement
For integers and there is a finite -uniform hypergraph of Berge girth at least with no weak -colouring.
Statement references
Facts & Assumptions
A finite simple graph is a finite vertex set together with a set of two-element vertex subsets defines finite simple graphs, r-uniform hypergraphs and complete balanced r-partite r-graphs K⁽ʳ⁾_s,…,s defines -uniform hypergraphs, and Berge cycles, incidence graphs and girth and Weak hypergraph colourings with singleton boundary define Berge cycles and weak colourings.
Erdős, Graph theory and probability, p.35, supplies a finite simple graph with no circuit shorter than and chromatic number greater than ; see External input.
Proper vertex colourings and chromatic number defines proper graph colourings and using the natural-number palette . Relabelling colours by a bijection preserves properness.
Walks, closed walks, trails, paths and cycles, with length equal to the number of traversed edges defines an ordinary graph cycle as a closed walk of length at least three with distinct vertices apart from its coinciding endpoints. These are the closed circuits in the imported result: Erdős, p.36, displays the cyclic edge sequence and counts ordered choices of distinct circuit vertices.
Proof
Given: The hypotheses of the statement.
Goal: Its asserted conclusion.
Apply F2 to obtain a finite graph and regard its edge set as a set of two-element hyperedges on . On such an edge the weak-colouring condition is exactly that its two endpoints have different colours. The bijection from to converts a weak -colouring into a proper graph -colouring in F3; its inverse gives the converse. Thus such a weak colouring would imply , contrary to F2.
A Berge cycle of length two would require two distinct two-element edges containing the same two distinct vertices, impossible in a simple graph. In a Berge cycle of length , edge contains the two distinct vertices and therefore equals their pair, with indices modulo . Hence is an ordinary graph cycle of length in F4: its consecutive edges are , and the Berge vertices are distinct. F2 excludes every such cycle with , proving the Berge girth assertion for the hypergraph in step 1.1.
External input
The following established result is used as an external premise, rather than claimed as a locally reconstructed proof: For each prescribed integer there exist finite graphs with arbitrarily large chromatic number and no closed circuit with fewer than edges. More precisely, the p.35 paragraph asserts an -vertex graph of chromatic number greater than for a positive constant (with fixed) and with no closed circuit of fewer than edges.
Source notes
Read the full five-page original PDF text and inspected rendered printed pp.35–36: p.35 gives the finite n-vertex high-chromatic assertion and its strict circuit threshold; p.36 writes a circuit as cyclic edges on distinct ordered vertices. The definition of h(k,l), equation (4) and its proof were read in the PDF text. Only the finite high-girth/high-chromatic existence consequence and this circuit convention are used; the probabilistic estimates were not independently audited.
Depends on
- A finite simple graph is a finite vertex set together with a set of two-element vertex subsets
- Berge cycles, incidence graphs and girth
- Weak hypergraph colourings with singleton boundary
- r-uniform hypergraphs and complete balanced r-partite r-graphs K⁽ʳ⁾_s,…,s
- Proper vertex colourings and chromatic number
- Walks, closed walks, trails, paths and cycles, with length equal to the number of traversed edges
- P. Erdős, Graph theory and probability, Canadian Journal of Mathematics 11 (1959), 34–38 · Printed p.35 (PDF p.2), paragraph following equation (5), beginning “Now (4) clearly shows”; p.36, paragraph displaying a given closed circuit and counting its distinct ordered vertices; definition of h(k,l) and equation (4) on p.34; proof of (4), pp.35–37
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.
External dependencies
For each prescribed integer q≥3 there exist finite graphs with arbitrarily large chromatic number and no closed circuit with fewer than q edges. More precisely, the p.35 paragraph asserts an n-vertex graph of chromatic number greater than n^c for a positive constant c (with q fixed) and with no closed circuit of fewer than q edges.
Hypotheses: Fixed finite circuit threshold q≥3; n sufficiently large. Graphs are finite simple graphs; chromatic number refers to proper vertex colouring.
Reading limits: Read the full five-page original PDF text and inspected rendered printed pp.35–36: p.35 gives the finite n-vertex high-chromatic assertion and its strict circuit threshold; p.36 writes a circuit as cyclic edges on distinct ordered vertices. The definition of h(k,l), equation (4) and its proof were read in the PDF text. Only the finite high-girth/high-chromatic existence consequence and this circuit convention are used; the probabilistic estimates were not independently audited.
Sources
- P. Erdős, Graph theory and probability, Canadian Journal of Mathematics 11 (1959), 34–38 · Printed p.35 (PDF p.2), paragraph following equation (5), beginning “Now (4) clearly shows”; p.36, paragraph displaying a given closed circuit and counting its distinct ordered vertices; definition of h(k,l) and equation (4) on p.34; proof of (4), pp.35–37