Alphabeta Math
TheoremStatement: Literature-sourcedProof: AI-adaptedprecheck passjudge pass (deepseek-v4-pro + gpt-5.6-terra)audited 2026-08-26
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.

∣M((0,0),(m,n))∣=(m+nn)

Statement

For all m,n∈N the set M((0,0),(m,n)) of monotone lattice paths from (0,0) to (m,n) (Monotone lattice paths with steps E=(1,0) and N=(0,1)) is finite with

∣M((0,0),(m,n))∣=(m+nn),

the binomial coefficient of The set [A]k of k-element subsets and the binomial coefficient (nk):=∣[n]k∣. More generally, if a≤c and b≤d in Z and m,n∈N are the natural numbers with m=c−a and n=d−b, then

∣M((a,b),(c,d))∣=(m+nn).

Facts & Assumptions

Given: natural numbers m and n, and integers a≤c, b≤d in the second clause.

[F1]

A monotone lattice path is a lattice path whose steps lie in the step set {E,N} with E=(1,0) and N=(0,1) (Monotone lattice paths with steps E=(1,0) and N=(0,1)).

[F2]

For v∈M((a,b);ℓ) with step word w and ν(i)=∣{j∈N:j<i, wj=N}∣, one has v(i)=(a+i−ν(i), b+ν(i)) for 0≤i≤ℓ; hence v(ℓ)=(c,d) if and only if ν(ℓ)=d−b and ℓ=(c−a)+(d−b) (Monotone lattice paths with steps E=(1,0) and N=(0,1)).

[L1]

For a step set S, a point P and ℓ∈N, the map sending a lattice path to its step word is a bijection LS(P;ℓ)→Sℓ (For each start point the step word is a bijection onto Sn).

[L2]

For a finite set A and k∈N, [A]k is the set of k-element subsets of A, it is finite, and ∣[A]k∣=(∣A∣k) (The set [A]k of k-element subsets and the binomial coefficient (nk):=∣[n]k∣).

[L3]
[L4]

If A is finite and f:A→B is a bijection then B is finite and ∣B∣=∣A∣ (The cardinality ∣A∣ of a finite set).

Proof

technique · direct
1.1F1F2L1

Every member of M((0,0),(m,n)) has length m+n, and under the step-word bijection Φ of [L1] with S={E,N} and P=(0,0) the set M((0,0),(m,n)) corresponds exactly to the set W of words w∈{E,N}m+n with ∣{j<m+n:wj=N}∣=n.

2.1L2L3step 1.1construct

The map w↦T(w):={ j∈N:j<m+n, wj=N } carries W into the set of n-element subsets of {0,…,m+n−1}, and the map sending a subset T to the word wT with wjT=N for j∈T and wjT=E otherwise is a two-sided inverse of it, so it is a bijection of W onto that set of subsets.

3.1L2L4step 2.1

The set {0,…,m+n−1} has m+n elements, so its n-element subsets number (m+nn), and transporting along the two bijections of steps 1.1 and 2.1 makes M((0,0),(m,n)) finite of that cardinality.

4.1L3L4step 3.1algebra∎

For general endpoints, v↦v−(a,b) is a bijection M((a,b),(c,d))→M((0,0),(m,n)): subtracting a constant leaves every difference v(i)−v(i−1) unchanged, sends (a,b) to (0,0) and (c,d) to (m,n), and v↦v+(a,b) inverts it; so the two sets have the same cardinality (m+nn). At m=n=0 this is one empty path against (00)=1; at n=0 it is the single all-E path against (m0)=1; at n=1 it is the m+1 paths differing in the position of the one N step against (m+11)=m+1.

Remarks

  • The general-endpoint clause is not decoration. Every later count on this page is a count of paths between two points neither of which is the origin, and it is obtained from this clause rather than by repeating the argument.

  • Where the monotonicity is spent. Only in [F2]: it makes the endpoint determine the numbers of E- and N-steps and hence the length. A fixed start and a fixed step word always determine one endpoint, for every step set; what can fail for a step set containing negative steps is the converse assertion that the endpoint determines the letter counts used by this binomial count.

Depends on

Used by

Dependency tree · two levels

26 results within two dependency steps of this one, each drawn at its shortest distance from it. An arrow runs from a result to what uses it, so the chart reads left to right and ends at this result, which carries a heavier outline. Every node is a link to that result. Click elsewhere on the chart to enlarge it.

Sources