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.
Combinatorial Classes and the Symbolic Method: Examples and Counterexamples
1 · Prerequisites
- Binary Operations, Monoids, Groups and Subgroups
- Combinatorial Classes and the Symbolic Method
- 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, Greatest Common Divisors and Bézout's Identity
- Finite Counting, Factorials and Binomial Coefficients
- Formal Power Series
- Foundations of the Real Numbers for Analysis
- Group Actions, Orbits, Stabilisers and Cayley's Theorem
- Inclusion–Exclusion, the Pigeonhole Principle and Double Counting
- Polynomial Rings, the Division Algorithm and Roots
- Relations, Functions, and Quotients
- Rings, Subrings, Integral Domains and Fields
- 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
Binary words of length at most three from
Example
The class gives binary words. Up to length the words are
So the initial coefficient sequence is .
Facts & Assumptions
Given: The binary-word generating function (Binary words have generating function ).
Verification
The displayed list has word of length , of length , of length , and of length .
Expanding as gives the same initial coefficients, so the explicit list matches the theorem.
The compositions of from
Example
The eight compositions of are
They split by number of parts as .
Facts & Assumptions
Given: Compositions are nonempty sequences of positive integers (Positive-integer compositions have generating function ).
The number of compositions of into exactly positive parts is (Compositions of into positive parts are counted by ).
Verification
The displayed list contains every ordered positive-part sum of : one with part, three with parts, three with parts, and one with parts.
The part-counts match [L1]: , , , and .
Partitions with parts at most from a truncated multiset product
Example
Restricting the Euler product to part sizes gives
The coefficient of is , corresponding to the five partitions of whose parts are at most :
Facts & Assumptions
Given: A combinatorial class having one object of each size , , and , and no other objects.
If has no size-zero objects and objects of size , then has generating function (If has no size-zero objects then has generating function ).
Verification
Applying [L1] to the Given class and multiplying the resulting factors to degree gives .
The five displayed partitions of are exactly the partitions whose part sizes lie in , so the coefficient has the advertised interpretation.
Plane trees with at most four vertices from
Example
The rooted plane trees on at most four vertices are counted by the first coefficients of the Catalan series:
Concretely there is one tree on one vertex, one on two vertices, two on three vertices, and five on four vertices.
Facts & Assumptions
Given: The plane-tree generating function satisfies (Rooted plane trees satisfy ).
Verification
Solving coefficientwise gives , so the first four counts are .
These are realized by the evident shapes: a single root; a root with one child; for three vertices, the chain and the root with two children; for four vertices, the chain of length four, the root with three children, the root with one child whose child has two children, and the two left-right orderings of a root with two children one of which has one child.
Binary necklaces of length from both and Burnside's lemma
Example
There are binary necklaces of length .
Facts & Assumptions
Given: The necklace count (The number of necklaces of length on an -letter alphabet is ).
Burnside's lemma counts orbits by averaging fixed points (Cauchy-Frobenius orbit counting: for a finite group action).
Verification
The corollary with and gives .
Burnside gives the same value. The six rotations of a -bead necklace fix colourings respectively, since the numbers of position-orbits are . Their average is .
The cycle-construction count and the direct Burnside count therefore agree at length .
Iterating a recursive specification to determine coefficients through degree
Example
For the plane-tree equation
start with and define , truncating modulo . The iterates are
So the coefficients through degree are .
Facts & Assumptions
Given: The plane-tree series is the unique fixed point of (Rooted plane trees satisfy ), and order-raising recursion converges coefficientwise by successive truncation (An order-raising recursive specification has a unique solution).
Verification
Substituting each displayed iterate into and truncating modulo gives the next one in the list.
By the sixth iterate, every coefficient through degree has stabilized, so the unique fixed point begins .
A family with infinitely many objects of size is not a combinatorial class
Counterexample
Let and define for every . Then the level is infinite, so is not a combinatorial class.
Facts & Assumptions
Given: A combinatorial class is required to have finite size- levels for every (Combinatorial classes, counting sequences and ordinary generating functions).
Verification
The size- level of the displayed family is , which is infinite.
This violates the defining finiteness condition on levels, so the family is not a combinatorial class.
Without disjoint copies, union does not add generating functions
Counterexample
Let with , and form the ordinary set-theoretic union without adding tags. Then
Facts & Assumptions
Given: The symbolic sum rule is proved only for the tagged disjoint union (Disjoint union and Cartesian product translate to addition and multiplication of ordinary generating functions, Disjoint unions and Cartesian products of combinatorial classes).
Verification
The ordinary union has one object of size , so its generating function is .
The sum is , which is different from step 1.1. The failure is exactly the missing disjointness: the same object was counted twice on the right and once on the left.
A product class without unique factorisation does not have generating function
Counterexample
Let with , let with , and let with . Suppose a would-be product construction sends both pairs and to the same object . Then
Facts & Assumptions
Given: The symbolic product rule applies to the Cartesian product, where the ordered pair itself records both components (Disjoint union and Cartesian product translate to addition and multiplication of ordinary generating functions, Disjoint unions and Cartesian products of combinatorial classes).
Verification
The class has two size- objects, namely and , so its generating function is .
The collapsed construction has only one size- object, so its generating function is . The missing factor of is exactly the loss of unique factorisation.
FALSE: is a combinatorial class even when has a size-zero object
Statement
False claim: is always a combinatorial class, even when has an object of size .
The theorem If has no size-zero objects then has generating function excludes exactly this case, and the exclusion is necessary.
Facts & Assumptions
Given: The sequence construction (The sequence construction ) and its generating function theorem, which assumes that has no size-zero objects (If has no size-zero objects then has generating function ).
Refutation
Let with . Then for every , the length- sequence lies in and has total size .
These sequences are all distinct because their lengths differ, so the size- level of is infinite. Hence is not a combinatorial class.
The claim is therefore false, and the no-size-zero hypothesis in the sequence theorem is load bearing.
FALSE: the positive-size multiset product always encodes a valid multiset class
Statement
False claim: once one knows the positive-size counts , the formal product
automatically is the ordinary generating function of the multiset construction, with no further local-finiteness hypothesis on the underlying class.
The formal product itself is coefficientwise well defined. What is false is its unconditional interpretation as a multiset generating function: omitted size- behaviour can destroy local finiteness completely while leaving the displayed positive-size sequence unchanged.
Facts & Assumptions
Given: The multiset product theorem assumes that the underlying class has no size-zero objects (If has no size-zero objects then has generating function ).
Well-defined locally finite products are the ones licensed by the summability machinery (Summable formal families may be regrouped and rearranged, distribute over multiplication, and have well-defined locally finite products).
Refutation
Let have one object of size and one object of size . Its positive-size counting sequence is and for , so the displayed product is .
But has infinitely many size- objects: the multiplicity functions with and are all distinct and all have total size . So the would-be multiset class is not locally finite in degree , and [L1] does not license a generating function for it.
The displayed product therefore does not automatically encode a valid multiset construction from the bare positive-size sequence alone. The omitted no-size-zero hypothesis matters, so the claim is false.