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.
Linear Algebra Methods in Combinatorics — Examples
1 · Prerequisites
- Binary Operations, Monoids, Groups and Subgroups
- Congruences, the Integers Modulo n and the Chinese Remainder Theorem
- Construction of the Natural Numbers
- Construction of the Real Numbers via Cauchy Sequences
- Construction of the Real Numbers via Dedekind Cuts
- Cosets, Index and Lagrange's Theorem
- Countability and Uncountability
- Divisibility, Euclidean Domains, Principal Ideal Domains and Unique Factorisation
- Divisibility, Greatest Common Divisors and Bézout's Identity
- Dual Spaces, Bilinear and Quadratic Forms, and Sylvester's Law of Inertia
- Finite Counting, Factorials and Binomial Coefficients
- Foundations of the Real Numbers for Analysis
- Gaussian Elimination, Elementary Matrices and Reduced Row Echelon Form
- Graphs, Walks and Connectivity
- Ideals, Quotient Rings and the Isomorphism Theorems for Rings
- Inner Product Spaces, Gram-Schmidt, Projections and Adjoints
- Linear Algebra Methods in Combinatorics
- Linear Independence, Bases and Dimension
- Linear Transformations, Rank-Nullity and Quotient Spaces
- Matrices, the Matrix of a Linear Map, and Change of Basis
- Normal Subgroups and Quotient Groups
- Order, Zorn's Lemma, and the Axiom of Choice
- Polynomial Rings, the Division Algorithm and Roots
- Primes, Euclid's Lemma and the Fundamental Theorem of Arithmetic
- Relations, Functions, and Quotients
- Rings, Subrings, Integral Domains and Fields
- Roots, Rational Powers, and Classical Inequalities
- Simple Field Extensions and the Construction of the Complex Numbers
- The ZFC Axioms and the Basic Set Constructions
- Vector Spaces, Linear Subspaces, Span and Direct Sums
2 · Summary
3 · Logical flowchart
4 · Definitions, theorems and proofs
None yet.
5 · Examples, counterexamples and false statements
An Oddtown family of four clubs on four citizens, and why a fifth cannot be added
Example
Take the four singletons on :
Their incidence matrix over is the identity matrix
so .
Facts & Assumptions
Given: the four singleton sets above.
Oddtown families have at most members (Oddtown: distinct with every odd and every () even satisfy ).
The singleton family attains that bound (The singletons form an Oddtown family, so the bound is attained for every ).
Verification
Each singleton has odd size , and any two distinct singletons meet in the empty set of even size , so the family satisfies Oddtown.
The displayed incidence matrix has pairwise orthogonal rows and , exactly as the Oddtown proof predicts.
A fifth set cannot be adjoined: by [L1] an Oddtown family on four points has at most four members, and [L2] says the bound is attained already.
The pairing construction gives an Eventown family of size
Example
For , group the points into the pairs and . The family
is Eventown. For the same four sets, viewed as subsets of , are still Eventown and still maximal.
Facts & Assumptions
Given: the two families above.
Eventown families have at most members (Eventown: distinct with every and every even satisfy ).
Maximal Eventown families have exactly that many members (An Eventown family that no further set can be added to has exactly members).
Verification
In both displayed families every set has even size, and the intersection of any two displayed sets is again , , or , hence even.
For there are four sets, which is ; for there are again four sets, which is .
The family is maximal by [L2], so the floor in the general bound is visible already in the first odd case.
The seven lines of the Fano plane meet pairwise in one point, and Fisher's bound is tight
Example
The seven lines of the Fano plane may be written as the translates modulo of :
Facts & Assumptions
Given: the seven three-element sets above.
A -uniform family on whose distinct members have constant intersection size has at most members (A -uniform family on with all pairwise intersections of size has at most members).
Verification
Each displayed set has size .
Let . Its nonzero differences are , that is, every nonzero residue modulo exactly once. Hence for distinct translates and , an element lies in their intersection exactly when and both lie in , equivalently when is a nonzero difference of two elements of ; that determines uniquely. So any two distinct displayed sets meet in exactly one point.
So the family has subsets on points with constant pairwise intersection size , and [L1] gives . The bound is therefore tight.
decomposed into three complete bipartite graphs, and no decomposition into two
Example
The complete graph has the edge decomposition
Facts & Assumptions
Given: the three complete bipartite graphs above.
Every complete bipartite decomposition of has at least parts (Graham–Pollak: a complete bipartite decomposition of has at least parts).
Verification
The three displayed graphs cover the edges ; then ; then , so every edge of is covered exactly once.
Hence has a complete bipartite decomposition with three parts. Since , [L1] says that no decomposition into two parts can exist.
All subsets of of size at most : VC dimension and exactly members
Example
Let be the family of all subsets of of size at most :
Facts & Assumptions
Given: the family above.
Sauer-Shelah bounds a VC-dimension- family by (Sauer–Shelah: a family on of VC dimension at most has at most members, The set of -element subsets and the binomial coefficient ).
Verification
The set is shattered: every one of its subsets appears as a trace of the displayed family.
No three-element subset is shattered, because the three-element set itself is missing from the family and therefore cannot appear as a trace on that triple. Hence .
The family has exactly members, matching the bound of [L1].
written out, and its rank computed
Example
Ordering the rows by the points and the columns by the pairs , one has
Facts & Assumptions
Given: the matrix above.
The point-inclusion matrix has rank ( for ).
Verification
Row operations reduce the matrix to a row-echelon form with four pivot rows, so its rank is .
This agrees with [L1].
Direct multiplication also gives since every pair contains exactly two points.
in : the sumset has five elements and the bound is tight
Example
Let .
Facts & Assumptions
Given: the set in .
Cauchy-Davenport gives (Cauchy–Davenport: for prime and nonempty , ).
Verification
The sumset is since the nine sums reduce to modulo .
Therefore , so the lower bound of [L1] is attained.
The other branch of the theorem is also visible: if and , then .
Applying the Nullstellensatz by hand to over
Example
Let
Facts & Assumptions
Given: the polynomial and the sets above.
If , the coefficient of is nonzero, and , then is nonzero at some point of (Alon's Combinatorial Nullstellensatz: if , the coefficient of in is nonzero, and , then for some ).
The grid-reduction lemma reduces degrees without changing the values on the grid (Reducing modulo lowers each below , preserves the values on the grid, and preserves any top-degree coefficient whose exponents stay below the grid sizes).
Verification
The total degree of is , and the coefficient of is . Since and , [L1] applies.
Indeed , so the theorem's conclusion is visible directly.
Reducing modulo replaces by , so on the grid the polynomial agrees with , illustrating [L2].
The six -subsets of are -intersecting, and the bound holds
Example
The six -subsets of are
Facts & Assumptions
Given: the six pairs above.
An -intersecting family with has at most members (An -intersecting family on with has at most members).
Verification
Any two distinct displayed sets meet in either or point, so the family is -intersecting.
The family has six members, and [L1] gives the upper bound .
For example, the polynomial attached to over is It is nonzero at , where its value is , and vanishes at every other displayed pair, whose intersection with has size or .
The hyperplanes cover except the origin, so the Alon–Füredi bound is tight
Example
For each , let
Facts & Assumptions
Given: the hyperplanes .
Covering by hyperplanes missing the origin needs at least hyperplanes (Covering minus the origin by affine hyperplanes avoiding the origin needs at least of them).
Verification
Every nonzero vertex of the cube has some coordinate equal to , so it lies on at least one of the hyperplanes . The origin has no coordinate equal to , so it lies on none of them.
Thus the hyperplanes cover exactly the nonzero cube vertices. By [L1], no smaller family can do so.
FALSE: an Oddtown family on has at most members
Statement
False claim: every Oddtown family on has at most members.
Facts & Assumptions
Given: the singleton family on .
The singleton family is an Oddtown family of size exactly (The singletons form an Oddtown family, so the bound is attained for every ).
Refutation
By [L1], the family is an Oddtown family with members.
Since is not at most , the false claim fails for every .
FALSE: distinct nonempty whose pairwise intersections all have the same parity satisfy
Statement
False claim: if distinct nonempty subsets of have pairwise intersections all of the same parity, then there are at most of them.
Facts & Assumptions
Given: the seven nonempty unions of the three pairs , and .
An Eventown family consists of distinct sets whose own sizes and pairwise intersection sizes are even (Eventown: distinct with every and every even satisfy ).
Refutation
Each chosen set and each pairwise intersection is a union of some of the three disjoint pairs, hence has even size. Thus the family satisfies the Eventown conditions of [L1], and all pairwise intersections have the same parity.
The family has distinct nonempty members on points. Since , it satisfies every hypothesis of the false claim and violates its conclusion.
Remarks
- The broken step is the real-positivity argument in Fisher's proof. Over there is no ordered notion of sum of squares.
FALSE: a family on of VC dimension at most has at most members
Statement
False claim: a family on of VC dimension at most has at most members.
Facts & Assumptions
Given: the family on .
Sauer-Shelah gives the exact bound at , (Sauer–Shelah: a family on of VC dimension at most has at most members).
Refutation
The family has VC dimension : it shatters and nothing larger.
It has two members, while . So the false claim already fails at , .
Remarks
- The true polynomial estimate on the page is , not .
FALSE: makes an inner product space
Statement
False claim: the standard form on is an inner product.
Facts & Assumptions
Given: the vector .
Over , one has (The standard bilinear form on ).
Refutation
The vector is nonzero, but [L1] gives in .
An inner product cannot vanish on a nonzero vector, so the false claim fails.
Remarks
- What remains true is that the form is symmetric and bilinear. That is all the page ever uses over .
FALSE: if and then is nonzero somewhere on
Statement
False claim: the combinatorial Nullstellensatz remains true if the hypothesis that the top monomial coefficient is nonzero is deleted.
Facts & Assumptions
Given: the polynomial and the grid .
The theorem requires the top coefficient to be nonzero (Alon's Combinatorial Nullstellensatz: if , the coefficient of in is nonzero, and , then for some ).
Refutation
The polynomial has total degree , and each grid has size .
But . So the conclusion of the false claim fails.
The missing hypothesis is exactly the coefficient of , which is here. That is why [L1] does not apply.
A set family whose incidence vectors are dependent over and independent over
Statement refuted
Changing the field can change linear independence. Take
Facts & Assumptions
Given: the three subsets above.
Their incidence vectors are , and (The incidence vector of a subset over a stated field).
Counterexample
Over , the three incidence vectors sum to , so they are linearly dependent.
Over , suppose . The three coordinates give , , and . Hence and the last equation gives , so . Thus the vectors are linearly independent over .
In the sets have , below the Cauchy–Davenport bound
Statement refuted
The Cauchy-Davenport lower bound can fail for a composite modulus.
Facts & Assumptions
Given: the modulus and the set .
For prime and nonempty , Cauchy--Davenport gives (Cauchy–Davenport: for prime and nonempty , ).
Counterexample
The four sums are , , and , so and therefore .
The Cauchy-Davenport lower bound would be , so the inequality fails for this composite modulus.
The failure occurs outside the theorem's prime-modulus hypothesis: here the modulus is , not a prime , so [L1] does not apply.
vanishes on although
Statement refuted
The strict inequality in the polynomial identity lemma cannot be weakened to equality.
Facts & Assumptions
Given: a field , the polynomial , and the set .
Over a field, if a polynomial has degree in each variable strictly below the size of the corresponding finite grid set and vanishes on the whole grid, then it is the zero polynomial (If for each and vanishes on , then ).
Counterexample
The polynomial is nonzero and has degree .
Yet and , so vanishes on all of .
Therefore the conclusion of [L1] fails when the strict inequality is replaced by equality.
Sources
- L. Babai and P. Frankl, Linear Algebra Methods in Combinatorics, §1.1
- L. Babai and P. Frankl, Linear Algebra Methods in Combinatorics, §2.3.2
- L. Babai and P. Frankl, Linear Algebra Methods in Combinatorics, §4.1
- J. Matousek, Thirty-three Miniatures, Miniature 8
- L. Babai and P. Frankl, Linear Algebra Methods in Combinatorics, §7.4
- L. Babai and P. Frankl, Linear Algebra Methods in Combinatorics, §7.1
- O. Pikhurko, An Introduction to Combinatorics, §11.1
- N. Alon, Combinatorial Nullstellensatz
- L. Babai and P. Frankl, Linear Algebra Methods in Combinatorics, §4.3
- N. Alon, Combinatorial Nullstellensatz, Theorem 6.3
- L. Babai and P. Frankl, Linear Algebra Methods in Combinatorics, §§2.3.2, 4.1
- L. Babai and P. Frankl, Linear Algebra Methods in Combinatorics, §2.3.1
- N. Alon, Combinatorial Nullstellensatz, Theorem 1.2
- J. Matousek, Thirty-three Miniatures, Miniature 3
- N. Alon, Combinatorial Nullstellensatz, Theorem 3.2
- N. Alon, Combinatorial Nullstellensatz, Lemma 2.1