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 sum over a finite index set, and its product form
Definition
Let be a finite set, (The cardinality of a finite set), and let or , written for . Choose a bijection , which exists because (Equinumerous sets, and ), and set
the right-hand sides being the iterated operations of Finite sums and finite products, by recursion when the values are real and of Finite sums and finite products of natural numbers, and in when they are natural.
Independence of the enumeration, which is the content of the definition. Let be two bijections. Then is a bijection (Injection, surjection, bijection), and for every . Applying A finite sum is unchanged by a permutation of its index range: for every bijection to the list gives
and identically for products. So the value does not depend on which bijection is used, and is a single well-determined element.
No choice principle is involved. The definition does not select an enumeration: it asserts that all enumerations give the same value, and that value is what the notation names. Only one bijection is ever produced at a time, from a set already known to be nonempty.
Three clauses, recorded here because the page uses them constantly.
(a) The bridge to the old notation. Taking and , which is legitimate since , gives
So the new notation extends the sum over an initial segment rather than competing with it, and every law proved for the latter is available for the former whenever the index set is a natural number.
(b) Reindexing along a bijection. If is a bijection of finite sets, then , and likewise for products. Indeed by transport (The cardinality of a finite set), and if is a bijection then is one, so .
(c) The empty index set and a constant summand. , so and by the base clause of the recursion. And for a constant , clause (a) together with the constant clause of Laws of finite sums and products in , and in , or clause 2 of Laws of finite sums and finite products in , gives
the second with written out because is a natural number and not an element of (The canonical natural of a field).
Remarks
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This is a different object from , and the bridge is what keeps them one notion. The sum over an initial segment is indexed by a natural number and needs no well-definedness argument; the sum over a finite set is indexed by an arbitrary finite set and is well posed only because a finite sum is permutation invariant. Clause (a) is the statement that the second restricts to the first.
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Splitting the index set — the identity for disjoint finite and , and its version for a finite partition — is not proved here but in The sum rule: a finite disjoint union is finite with and , and a sum over a finite index set splits along a partition, the next item, whose splice bijection is exactly what such a proof needs. Keeping the two together avoids building the same bijection twice.
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Three notions of finite sum will exist in the library: over an initial segment (Finite sums and finite products, by recursion), over a finite index set (here), and in an arbitrary monoid (The product of a finite list in a monoid, by recursion, with the empty product () equal to the identity ↗, later in the reading order). Each is introduced with its bridge to the previous one, which is what stops them drifting apart.
Depends on
- A finite sum is unchanged by a permutation of its index range: $\sum_{k<n} a_{\pi(k)} = \sum_{k<n} a_k$ for every bijection $\pi : n \to n$
- The cardinality $\lvert A\rvert$ of a finite set
- Finite sums and finite products, by recursion
- Finite sums and finite products of natural numbers, $\sum_{k<n} a_k$ and $\prod_{k<n} a_k$ in $\mathbb{N}$
- Laws of finite sums and products in $\mathbb{N}$, and $\iota\big(\sum_{k<n} a_k\big) = \sum_{k<n} \iota(a_k)$
- Laws of finite sums and finite products
- Injection, surjection, bijection
- Equinumerous sets, $A \approx B$ and $A \preceq B$
- The canonical natural $\iota(n) = n \cdot 1_F$ of a field
Used by
- ∑_k<n+1binomnk = 2ⁿ, and ∑_k<n+1(-1)ᵏιbinomnk = 0 for n ≥ 1 Corollary
- If X is nonempty, some row fibre is at least the average size and some row fibre is at most the average size Corollary
- A count that overcounts because the blocks are not disjoint, and exactly where the sum rule's hypothesis is spent Counterexample
- A relation whose row fibres all differ from the average size, so the averaging principle gives a bound that no fibre meets exactly Counterexample
- A three-set count that drops the triple intersection and returns the wrong answer Counterexample
- A finite sum in a commutative monoid indexed by an arbitrary finite set Definition
- Real edge-weighted graphs, total tree weight and minimum spanning trees Definition
- The multinomial coefficient binomnk₀,…,kₘ₋₁ as the number of ordered partitions of an n-set into blocks of prescribed sizes Definition
- Distributing a finite set over a finite set of boxes, with the ceiling bound computed and attained Example
- Finite partial sums of a real family form a net directed by inclusion Example
- Five-card hands from a 52-card deck: binom525 = 2598960, and the count of hands with all cards of one suit Example
- For a finite symmetric irreflexive relation the sum of the neighbour counts is twice the number of unordered related pairs Example
- The sieve run in full on three explicit finite sets and then on four, with every nonempty intersection listed Example
- The surjections from a five-element set onto a three-element set counted by the sieve formula and by direct subtraction Example
- FALSE: the real-valued three-set inclusion-exclusion identity remains true after deleting the triple-intersection term False statement
- FALSE: truncating the sieve at a fixed depth of at least two gives the exact size of the union False statement
- ∑_i ∈ S∑_j ∈ T aᵢⱼ = ∑_(i,j) ∈ S × T aᵢⱼ = ∑_j ∈ T∑_i ∈ S aᵢⱼ for finite index sets S and T Lemma
- Facial boundary walks of a connected plane graph sum to 2|E|, and if every such walk has length at least g then g|F|≤2|E| Lemma
- The binomial coefficients are symmetric and increase to the middle level before decreasing Lemma
- Conventions fixed on this page, and what counting is deliberately not done here Remark
- The conventions this page fixes: the empty intersection, where the counts live, the first index of every sum, and what the declared prerequisites do not supply Remark
- Assuming countable choice, a real family is summable as a finite-subset net if and only if it has at most countable support and its nonzero terms are absolutely summable; its sum is independent of the enumeration Theorem
- binomnk k! (n-k)! = n! for k ≤ n; hence binomnk k! = n^underlinek, the quotient n!/(k!(n-k)!) is a natural number, and binomnk = binomnn-k Theorem
- Cauchy-Frobenius orbit counting: |G| |X/G|=∑_g∈ G|Xᵍ| for a finite group action Theorem
- Double counting: ∑_x ∈ X| Rₓ| = | R| = ∑_y ∈ Y| Rʸ| for a relation between finite sets Theorem
- For every positive integer n, ∑_d∣ n, d>0φ(d)=n Theorem
- For m ≥ 1 the number of weak compositions of n into m parts is binomn+m-1m-1, and the number of compositions is binomn-1m-1 for n ≥ 1 Theorem
- If | A| > k| B| then every f : A → B has a fibre with more than k elements, and for nonempty B some fibre has at least lceil | A| / | B|rceil elements Theorem
- If a finite p-group P acts on a finite set X, then |X|≡|X^P|pmod p Theorem
- Inclusion and exclusion: ι|⋃_i ∈ I Aᵢ| = ∑_∅ ≠ J ⊆ I(-1)^| J| + 1 ι| A_J|, together with the complementary form counting the elements in none of the Aᵢ Theorem
- Jordan's derangement theorem: every transitive action of a finite group on a finite set with more than one element has a nonidentity element with no fixed points Theorem
- Lagrange's theorem: |G|=[G:H]|H| for every subgroup H of a finite group G Theorem
- Local LYM inequality comparing a uniform family with its upper shadow Theorem
- Lubell-Yamamoto-Meshalkin inequality for antichains in a Boolean lattice Theorem
- The class equation |G|=|Z(G)|+∑ᵢ [G:C_G(xᵢ)] for a finite group Theorem
- The conjugates of a proper subgroup do not cover a finite group Theorem
- The multinomial coefficient equals n!/∏_i<m kᵢ!, and (x₀+…+xₘ₋₁)ⁿ = ∑ ιbinomnk∏_i<m xᵢ^kᵢ in ℝ Theorem
- The number of injections from a k-element set into an n-element set is n^underlinek Theorem
- The number of surjections from an n-element set onto a k-element set is ∑_i<k+1(-1)ⁱbinomki(k-i)ⁿ, read in ℝ through ι Theorem
- The product rule: | A × B| = | A| | B|, and |∏_i<m Aᵢ| = ∏_i<m| Aᵢ| Theorem
…and 4 more results.
Dependency tree · next 3 levels
Direct dependencies and their dependencies through the next three levels: 66 results over 19 levels. An arrow runs from a result to what uses it, and this result sits at the bottom with a heavier outline. Click the chart to enlarge it.
Sources
- Summation (Wikipedia) (standard reference, not scraped)
- Permutation (Wikipedia) (standard reference, not scraped)
- R. Stanley, Enumerative Combinatorics, Vol. 1, Ch. 1 (standard reference, not scraped)