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.
Ramsey Theory
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
- Limits of Real Functions
- Relations, Functions, and Quotients
- Roots, Rational Powers, and Classical Inequalities
- Suprema and Infima
- The ZFC Axioms and the Basic Set Constructions
2 · Summary
Graph colouring supplies the two-colour language, while finite pigeonhole and counting principles support the recursive and probabilistic bounds. Countability and the theory of sequences provide the setting for infinite homogeneous sets, canonical subsequences, and the transfer from the naturals to Dedekind-infinite sets.
Arrow notation leads from the finite graph recursion to Ramsey numbers, exact and asymptotic bounds, and the uniform finite theorem. Finitely branching trees and infinite pigeonhole then yield König compactness and infinite Ramsey theory, followed by the canonical pair theorem. A separate colour-focussing induction proves van der Waerden's theorem with a monochromatic common difference, and finite Ramsey finally gives Schur's monochromatic-sum theorem.
3 · Logical flowchart
4 · Definitions, theorems and proofs
Finite colourings of -element subsets, monochromatic sets, and the arrow notations and
Definition
For a set and a positive natural number , write for the set of all -element subsets of , where finite cardinality is understood as in The cardinality of a finite set. A -colouring of is a function into a set with elements. A set is monochromatic when is constant on . These notions are unchanged when is replaced by an equinumerous set (Equinumerous sets, and ).
For positive naturals , the asymmetric arrow
means that every red-blue colouring of the pairs from any -element set has either a red -element set or a blue -element set. Equivalently, the red pairs form a complete graph on some vertices or the blue pairs form a complete graph on some vertices. Thus a red-blue colouring witnesses when it contains a red -set or a blue -set.
For positive naturals , the uniform arrow
means that every -colouring of the -element subsets of an -element set has a monochromatic -element set. Natural-number parameters use The natural numbers (von Neumann); in particular, all four parameters in this notation are explicitly positive.
If and , then for
Statement
Let . If and , then in the notation of Finite colourings of -element subsets, monochromatic sets, and the arrow notations and . Finite sums and cardinalities use The sum rule: a finite disjoint union is finite with and , and a sum over a finite index set splits along a partition and The cardinality of a finite set, and complete graphs use Empty and complete graphs, complete bipartite graphs, and the convention that and have vertices.
Facts & Assumptions
Given: Naturals and satisfying the two displayed arrow hypotheses, and an arbitrary red-blue colouring of the pairs of an -element vertex set.
A red-blue colouring witnesses when it contains a red -set or a blue -set (Finite colourings of -element subsets, monochromatic sets, and the arrow notations and ).
Proof
Fix a vertex . Partition the other vertices into the red neighbours of and the blue neighbours of . If , restrict to an -element subset of and apply ; if , then by the finite sum rule, so restrict to an -element subset of and apply .
In the first case, a red -set in becomes a red -set after adjoining , while a blue -set already works. In the second case, a blue -set in becomes a blue -set after adjoining , while a red -set already works. Hence every colouring has one of the alternatives in [F1], so .
Finite graph Ramsey theorem: for all positive
Statement
For all positive natural numbers ,
The arrow notation is Finite colourings of -element subsets, monochromatic sets, and the arrow notations and , binomial coefficients are those of The set of -element subsets and the binomial coefficient , and the induction is over the natural order of Order on the natural numbers using The principle of mathematical induction.
Facts & Assumptions
Given: Positive natural numbers .
If and , then for (If and , then for ).
Pascal's rule. (Pascal's rule , and the hockey-stick identity ).
Proof
If or , every nonempty vertex set contains the required one-vertex set in the corresponding colour convention, and the displayed binomial coefficient is .
Assume and that the formula holds whenever the sum of the two positive parameters is smaller than . Then and by the induction hypothesis.
Apply [L1] to the two witnesses in step 1.2 and use [L2] to identify their sum as . This gives the displayed arrow for .
The base faces and the induction step cover all positive , so the explicit binomial witness works universally.
The off-diagonal Ramsey number as the least with , for positive
Definition
For positive natural numbers , the off-diagonal Ramsey number is
where the arrow is defined in Finite colourings of -element subsets, monochromatic sets, and the arrow notations and . The defining set is nonempty because Finite graph Ramsey theorem: for all positive supplies the member , and it has a least element by The well-ordering principle. Thus the notation presupposes neither an unproved existence claim nor a choice.
for , and
Statement
For ,
For every positive ,
Here is The off-diagonal Ramsey number as the least with , for positive and the binomial coefficient is The set of -element subsets and the binomial coefficient ; the first diagonal inequality is the specialization of Finite graph Ramsey theorem: for all positive .
Facts & Assumptions
Given: Positive naturals , with for the recursion.
If and , then for (If and , then for ).
For all and every , the binomial theorem expands as the sum of its binomial terms (The binomial theorem in : ).
Proof
The numbers and satisfy the two hypotheses of [L1]. Hence their sum arrows to , and leastness in the definition of gives the recursion inequality.
The finite binomial theorem gives . In [L2] put and ; every summand is nonnegative, so the single central coefficient is at most their sum .
The Ramsey number
Statement
The Ramsey number of The off-diagonal Ramsey number as the least with , for positive satisfies . Complete graphs and cycles use Empty and complete graphs, complete bipartite graphs, and the convention that and have vertices and Walks, closed walks, trails, paths and cycles, with length equal to the number of traversed edges.
Facts & Assumptions
Given: Red-blue colourings of the edges of and .
If are finite, , and satisfies , then there is with (If then every has a fibre with more than elements, and for nonempty some fibre has at least elements).
Proof
At a fixed vertex of , at least three of its five incident edges have one colour by [L1]. Call their other endpoints and suppose that colour is red. If one of is red it closes a red triangle with ; if none is red, then form a blue triangle. The same argument with the colour names exchanged proves .
On five cyclically ordered vertices, colour the five cycle edges red and the remaining five edges blue. The red graph is a -cycle and has no triangle; the blue graph is also a -cycle, in the order obtained by stepping two places at a time, and has no triangle. Thus .
Step 1.1 gives and step 1.2 gives . Since is a natural number, it equals .
Erdős's finite counting bound for every
Statement
For every natural , the diagonal Ramsey number satisfies
where is The off-diagonal Ramsey number as the least with , for positive , real rational powers are those of Rational powers of a positive base and Monotonicity of and of , and the finite powers and products below use Exponentiation of natural numbers, , and its agreement with the integer power in , The product rule: , and and The sum rule: a finite disjoint union is finite with and , and a sum over a finite index set splits along a partition.
Facts & Assumptions
Given: A natural and ; binomial coefficients are as in The set of -element subsets and the binomial coefficient .
If and are finite, then is finite and (The set of functions between finite sets is finite, with ).
If and , then , equivalently ( for ; hence , the quotient is a natural number, and ).
Every real has a unique integer with (Integer part: for every real there is exactly one integer with ).
Proof
There are edges in , and [L1] therefore counts exactly red-blue edge colourings.
For a fixed -vertex set, exactly colourings make all its edges monochromatic. Summing these finite bad sets over the choices, with overlaps allowed, shows that a colouring with no monochromatic -set exists whenever .
If , then by the definition of the binomial coefficient. If , [L2] gives , so again . Since , the left side in step 2.1 is therefore at most in either case. At this is ; thereafter the ratio of the bound for to that for is . Hence the strict inequality holds for every .
Step 2.1 supplies a colouring on vertices with no monochromatic -set, so . As is an integer and , [L3] implies .
For positive there is an such that every -colouring of has a monochromatic -element set
Statement
For all positive natural numbers , some natural number satisfies
Equivalently, every -colouring of has a monochromatic -element set in the sense of Finite colourings of -element subsets, monochromatic sets, and the arrow notations and . Finite cardinalities and the induction are those of The cardinality of a finite set and The principle of mathematical induction.
Facts & Assumptions
Given: Positive natural numbers ; finite pigeonhole is available from If then every has a fibre with more than elements, and for nonempty some fibre has at least elements.
For all positive , (Finite graph Ramsey theorem: for all positive ).
If and are finite, then is finite and (The set of functions between finite sets is finite, with ).
Proof
If or , any sufficiently large finite set works. For , works by finite pigeonhole. For , repeatedly group one colour against all remaining colours and apply [L1]; induction on gives a finite multicolour graph witness for every target .
Assume and that the theorem is known for -subsets with every finite colour and target parameter. Put . Choose finite reservoir sizes backwards by and, for , let be one more than a -uniform Ramsey witness for target and colours, which exists by the induction hypothesis.
Starting with a -element set, choose its least vertex . Colour each -subset of the remaining reservoir by the colour of , and restrict to a homogeneous -element reservoir. Repeat. After stages there are vertices and colours such that every -set of chosen vertices whose least member is has colour .
Finite pigeonhole gives indices for which . Every -subset of has least element for some , hence has this common colour by step 2.1. This is a monochromatic -set.
The bases and the step from to prove the assertion for every positive .
The uniform Ramsey number as the least finite witness for colours on -element subsets
Definition
For positive natural numbers , the uniform Ramsey number is
using the arrow of Finite colourings of -element subsets, monochromatic sets, and the arrow notations and . The defining set is nonempty by For positive there is an such that every -colouring of has a monochromatic -element set and therefore has a least member by The well-ordering principle.
Rooted trees of finite sequences, levels, branches, and finite branching, with ordered finite successor sets
Definition
Let be The natural numbers (von Neumann). A rooted tree of finite sequences is a nonempty set of finite sequences of naturals such that the empty sequence belongs to and every initial segment of a member of also belongs to .
The level consists of the sequences in of length . A node is an immediate successor of when it is obtained by appending . The tree is finitely branching when each node has only finitely many immediate successors (The cardinality of a finite set). Their labels inherit the natural order of Order on the natural numbers, so every nonempty successor set has a least member.
An infinite branch is a function such that the initial segment lies in for every . The empty initial segment is the root, and finite branching permits a node to have no successors; the hypotheses of an infinity lemma must rule out termination along the branch it constructs.
König's infinity lemma: an ordered finitely branching tree with a node at every level has an infinite branch, in ZF
Statement
Let be an ordered finitely branching tree of finite sequences (Rooted trees of finite sequences, levels, branches, and finite branching, with ordered finite successor sets). If every level is nonempty, then has an infinite branch. The branch is constructed in ZF by least successors and natural recursion (The recursion theorem); no choice principle is used. Its natural indexing agrees with the convention of Finite, countably infinite, countable, uncountable, and the elementary induction below uses The principle of mathematical induction.
Facts & Assumptions
Given: An ordered finitely branching tree with a node at every level.
Every nonempty subset has a least element (The well-ordering principle).
Given a set , an element , and a function , natural recursion supplies a unique sequence beginning at and iterating (The recursion theorem).
Proof
Call a node viable if it has descendants at arbitrarily high levels. The root is viable: if each of its finitely many successors had descendants only up to some level, the maximum of those finitely many bounds would bound the whole tree, contrary to the existence of a node at every level.
Every viable node has a viable immediate successor. Otherwise all its finitely many successors would have bounded descendant height, and the maximum of their bounds would contradict viability. The viable successor labels form a nonempty set of naturals, so [L1] gives a unique least one.
On the set of viable nodes, send each node to its least viable successor from step 2.1. Apply [L2] from the root. Every finite initial segment produced is a node of , and at stage it has length . Thus the recursive sequence is an infinite branch.
Every finite colouring of has an infinite colour class, in ZF
Statement
Every colouring of (The natural numbers (von Neumann)) by a nonempty finite set of colours has an infinite colour class in the sense of Finite, countably infinite, countable, uncountable. The finite notions are those of The cardinality of a finite set, and the result is stronger than any fixed finite pigeonhole conclusion from If then every has a fibre with more than elements, and for nonempty some fibre has at least elements.
Facts & Assumptions
Given: A function with nonempty and finite.
A finite disjoint union is finite with (The sum rule: a finite disjoint union is finite with and , and a sum over a finite index set splits along a partition).
A subset of is finite if it is bounded and countably infinite if it is unbounded (Every subset of an at most countable set is at most countable).
Proof
Suppose every fibre , for , is finite. These fibres are pairwise disjoint and their union is .
Iterating [L1] over the finite set makes their union finite. This contradicts the infinitude of , so at least one fibre is not finite. That fibre is a subset of , and [L2] therefore makes it countably infinite.
Infinite Ramsey theorem on : every finite colouring of has an infinite monochromatic set, in ZF
Statement
For every positive natural and every colouring of by a nonempty finite colour set, there is an infinite monochromatic subset of in the sense of Finite colourings of -element subsets, monochromatic sets, and the arrow notations and and Finite, countably infinite, countable, uncountable. The construction uses natural recursion (The recursion theorem) and induction (The principle of mathematical induction) but no form of choice.
Facts & Assumptions
Given: A positive natural , a nonempty finite colour set , and a colouring .
Every finite colouring of has an infinite colour class, in ZF (Every finite colouring of has an infinite colour class, in ZF).
Every nonempty subset of has a least element (The well-ordering principle).
Proof
For , [L1] is exactly the assertion. The one-colour case is immediate for every .
Assume the result for and consider a colouring of -subsets. Whenever the induction hypothesis produces an infinite homogeneous subset of a set of naturals, make one output canonical as follows. Among the -subsets whose colours admit an infinite homogeneous set, choose the lexicographically least subset and use its colour. Then recursively choose the least next natural that extends the current finite prefix to some infinite homogeneous set of that colour. The candidate sets are nonempty, so [L2] and natural recursion define a unique increasing enumeration without ordering the arbitrary colour set and without choice.
Set . Given the infinite reservoir , let be its least element and transfer the colouring on along that set's unique increasing enumeration from . Apply the induction hypothesis and the canonical rule of step 1.2, then transfer back to obtain an infinite homogeneous reservoir ; let be its colour. Natural recursion performs this construction for all .
Apply [L1] to . Let be the least index whose colour class is infinite, and put . If lie in , then by nestedness, so . Hence is infinite and monochromatic.
The base and the induction step establish the theorem for every positive , and every selection made in the construction was the least member of a nonempty subset of .
Infinite Ramsey holds for every set equipped with an injection from
Statement
Let be a set equipped with an injection . For every positive , every finite colouring of has an infinite monochromatic subset contained in . The terms injection, equinumerous and monochromatic are those of Injection, surjection, bijection, Equinumerous sets, and and Finite colourings of -element subsets, monochromatic sets, and the arrow notations and .
Facts & Assumptions
Given: An injection and a finite colouring .
Every finite colouring of has an infinite monochromatic set, in ZF (Infinite Ramsey theorem on : every finite colouring of has an infinite monochromatic set, in ZF).
is injective (one-to-one) if implies (Injection, surjection, bijection).
Proof
Define a colouring of by . Injectivity in [F1] makes a -element set, so [L1] gives an infinite homogeneous .
By [F1], the restriction is a bijection from to , so is infinite. The pullback definition shows every -subset of has the same -colour.
The finite uniform Ramsey theorem follows a second time from the infinite theorem by a finitely branching tree of bad finite colourings
Statement
The existence conclusion of For positive there is an such that every -colouring of has a monochromatic -element set also follows from Infinite Ramsey theorem on : every finite colouring of has an infinite monochromatic set, in ZF by applying König's lemma to the tree of bad finite colourings. The meanings of colouring and homogeneity are those of Finite colourings of -element subsets, monochromatic sets, and the arrow notations and , and finiteness of each level follows from The set of functions between finite sets is finite, with .
Facts & Assumptions
Given: Positive naturals and, for contradiction, a bad -colouring of with no monochromatic -set for every natural .
An ordered finitely branching tree with a node at every level has an infinite branch, in ZF (König's infinity lemma: an ordered finitely branching tree with a node at every level has an infinite branch, in ZF).
Every finite colouring of has an infinite monochromatic set, in ZF (Infinite Ramsey theorem on : every finite colouring of has an infinite monochromatic set, in ZF).
Proof
Suppose no finite witness exists. Form a tree whose level- nodes are the bad colourings of , ordered by extension. Restricting a bad colouring remains bad, every level is nonempty by the supposition, and every node has only finitely many one-level extensions. Order those extensions lexicographically by their finite colour tables.
By [L1] the tree has a coherent branch. The union of its compatible finite functions is a well-defined -colouring of , and every finite restriction on the branch has no monochromatic -set.
Apply [L2] to the union colouring and take the first elements of its infinite monochromatic set. They lie below some , so they form a monochromatic -set in the level- branch node, contradicting its badness. Therefore a finite witness exists.
Canonical Ramsey theorem for pairs: on an infinite subset a colouring is constant, injective, left-dependent, or right-dependent
Statement
Let be a colouring by an arbitrary set of colours. There is an infinite (Finite, countably infinite, countable, uncountable) on which exactly one of the following canonical descriptions holds, writing every pair as :
- constant: all pairs have one colour;
- injective: distinct pairs have distinct colours (Injection, surjection, bijection);
- left-dependent: if and only if ;
- right-dependent: if and only if .
The finite auxiliary colourings below use the homogeneous-set convention of Finite colourings of -element subsets, monochromatic sets, and the arrow notations and .
Facts & Assumptions
Given: An arbitrary colouring .
Every finite colouring of has an infinite monochromatic set, in ZF (Infinite Ramsey theorem on : every finite colouring of has an infinite monochromatic set, in ZF).
Proof
Colour each according as . By [L1], thin to an infinite set on which this answer is constant. If it is yes, any two pairs can be compared through a third pair lying to their right, so is constant. Henceforth the answer is no: separated pairs have different colours.
On the set from step 1.1, thin by [L1] for the relation on . The constant answer cannot be yes: on six ordered points it would give , contradicting step 1.1. Thus every such nested pair has different colours.
Thin again for the relation . A constant yes answer on six points similarly gives , again contradicting step 1.1. Thus crossing pairs have different colours.
Successively thin triples so that each of the relations , and has a constant truth value for . The last relation cannot be always true, since four points would then make two separated pairs equal by transitivity.
If both of the first two relations were always true, the last would also be true, which step 2.3 excludes. If only the first is always true, equality of colours is exactly equality of left endpoints; if only the second is always true, it is exactly equality of right endpoints. The converse implications follow from the corresponding always-true relation, while pairs with different relevant endpoints are covered by steps 1.1, 2.1, and 2.2 and the always-false triple relations.
If both first relations are always false, any two distinct pairs are separated, nested, crossing, or share exactly one endpoint; steps 1.1, 2.1, and 2.2 and the triple relations show their colours differ, so is injective. Together with the constant case and step 3.1, this yields one of the four canonical forms on an infinite set.
Finite colour focussing extends equally coloured progressions to a longer monochromatic arithmetic progression
Statement
Fix positive with , and suppose that for every positive there is a finite witness forcing a monochromatic -term arithmetic progression under every -colouring. For each there is a finite such that every -colouring of has either a monochromatic -term arithmetic progression, or monochromatic -term arithmetic progressions of pairwise distinct colours focused at one integer : if , then for every .
All differences are positive. The finite product and function-counting used to compare block colour vectors are The product rule: , and and The set of functions between finite sets is finite, with ; induction and order use The principle of mathematical induction, Order on the natural numbers and The cardinality of a finite set.
Facts & Assumptions
Given: The parameters and the family of witnesses in the Statement.
If and are finite, then is finite and (The set of functions between finite sets is finite, with ).
Proof
For and , the singleton progression with chosen difference is focused at . For , apply inside the first half of an interval twice as long. Its monochromatic -term progression has positive difference at most the length of that half, so its next term still lies in the full interval. In either case there is one focused progression.
Assume . Take first, where the block construction below has nothing to work with: a -term progression of block indices carries no difference. It is not needed. Among any points two share a colour, and two points of one colour are a monochromatic -term progression with difference , so and the first alternative always holds. Assume from here that , and let . Partition a sufficiently long interval into consecutive blocks of length . By [L1] there are possible block colour vectors. Use on the sequence of block vectors to obtain identically coloured blocks whose indices are .
Apply the induction hypothesis to the first half of the first selected block, an interval of length . It gives either a monochromatic -term progression, which finishes, or colour-focused progressions of pairwise distinct colours focused at . Each lies in that first half, so measured from the block start, and makes both and at most ; hence and the focus lies in the block. That is what the block length is for, exactly as in step 1.1. For the second alternative define . Its th term occupies the same relative position in block as the th term of in block , so identical block vectors preserve its colour.
The progressions are focused at . Since lies in block by step 2.1, the point occupies the same relative position in block as does in block , so identical block vectors make a monochromatic -term progression, focused at the same point and coloured as is. If that colour equals the colour of some , then is a monochromatic -term progression and the first alternative holds. Otherwise the new progression differs in colour from all of the , which already have pairwise distinct colours, and the second alternative contains focused progressions of distinct colours.
The base and step prove the focusing assertion for every .
Van der Waerden's theorem, strengthened so the progression and its common difference have one colour
Statement
For all positive there is a natural such that every -colouring of contains positive integers for which
all have one colour. In particular, the first displayed terms form a monochromatic arithmetic progression with positive common difference. The proof uses the focusing lemma Finite colour focussing extends equally coloured progressions to a longer monochromatic arithmetic progression and natural induction The principle of mathematical induction.
Facts & Assumptions
Given: Positive natural numbers and a -colouring of a sufficiently long positive initial interval.
Under the length- induction hypothesis, finite colour focussing produces either a monochromatic -term progression or focused -term progressions of all available colours (Finite colour focussing extends equally coloured progressions to a longer monochromatic arithmetic progression).
Proof
Ordinary van der Waerden existence follows by induction on . Length is immediate. Assuming finite witnesses for length for every number of colours, apply [L1] with ; if its first alternative occurs, it gives length , while in the second alternative the focus has one of the colours and extends the focused progression of that colour to length .
We now prove the strengthened statement. If , take , so assume . Induct on . The assertion is immediate for . Assume it for colours and let be a finite witness for the same target length with colours. By step 1.1, choose an ordinary monochromatic progression in a sufficiently long -coloured interval.
If one of has the progression's colour, say does, then together with its difference has one colour. Otherwise the colouring on uses at most colours. The induction hypothesis gives of one colour there, and multiplication by gives the required progression and difference in the original colouring.
The colour induction proves the strengthened theorem for every finite , while step 1.1 supplies the ordinary finite witnesses used in its construction.
The van der Waerden number as the least interval length forcing a monochromatic -term arithmetic progression
Definition
For positive naturals (The natural numbers (von Neumann)), the van der Waerden number is the least positive such that every -colouring of any interval of consecutive integers contains a monochromatic -term arithmetic progression with positive common difference.
Such an exists by Van der Waerden's theorem, strengthened so the progression and its common difference have one colour, whose stronger conclusion also colours the common difference, and leastness follows from The well-ordering principle. Translation identifies every interval of consecutive integers with without changing arithmetic progressions.
Schur's theorem: every finite colouring of a sufficiently long positive initial interval has positive monochromatic with
Statement
For every positive number of colours there is a positive natural such that every -colouring of has positive of one colour satisfying . The variables need not be distinct. Natural order is that of The natural numbers (von Neumann) and Order on the natural numbers, and the proof uses the pair-colouring convention of Finite colourings of -element subsets, monochromatic sets, and the arrow notations and .
Facts & Assumptions
Given: A positive number of colours and a colouring of a sufficiently long positive initial interval.
For all positive , (Finite graph Ramsey theorem: for all positive ).
Proof
Iterating [L1] gives a finite such that every -colouring of the pairs of an -element set has a monochromatic triangle: separate one colour from the remaining colours, use [L1] with target for the first colour and with a recursively chosen target for the others, and continue through the finite colour list.
Colour the edge of the ordered vertex set , with , by the given colour of the positive difference . Step 1.1 gives a monochromatic triangle .
Put , and . These are positive, the edge colouring says they have one original colour, and arithmetic gives . Taking contains all three differences.
The Schur number as the largest for which has a -colouring with no positive monochromatic solution of
Definition
For a positive natural (The natural numbers (von Neumann)), let be the least positive such that every -colouring of has positive monochromatic with . The set defining is nonempty by Schur's theorem: every finite colouring of a sufficiently long positive initial interval has positive monochromatic with and has a least member by The well-ordering principle.
The Schur number is . Equivalently, it is the largest for which admits a -colouring with no such solution: minimality supplies an avoiding colouring at , and restriction supplies one at every smaller .
5 · Examples, counterexamples and false statements
None yet.
Sources
Standard references
Recommended treatments; not extraction sources.
- R. Diestel, Graph Theory, 6th ed., Chapter 9, Section 9.1
- I. B. Leader, Ramsey Theory, Sections 1.1-1.2
- J. Fox et al., Graph Ramsey Theory, Section 2.1
- R. Diestel, Graph Theory, 6th ed., Theorem 9.1.1
- Douglas West, Combinatorial Game Theory, Ramsey example
- R. Diestel, Graph Theory, 6th ed., Theorem 9.1.3
- I. B. Leader, Ramsey Theory, Corollary 3
- I. B. Leader, Ramsey Theory, compactness proof after Corollary 3
- I. B. Leader, Ramsey Theory, proof of Theorem 1
- R. Diestel, Graph Theory, 6th ed., Theorem 9.1.2
- I. B. Leader, Ramsey Theory, Theorems 1-2
- I. B. Leader, Ramsey Theory, Theorem 4
- I. B. Leader, Ramsey Theory, Section 1.2, colour-focussing proof
- I. B. Leader, Ramsey Theory, Theorems 6 and 8
- I. B. Leader, Ramsey Theory, Section 1.2
- I. B. Leader, Ramsey Theory, remark after Theorem 8