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.
For fixed , tends to
Statement
For each fixed , where the expression is read for . For every such , one also has the uniform bound
Facts & Assumptions
Given: A fixed .
For , ( for ; hence , the quotient is a natural number, and , The factorial and the falling factorial , defined by recursion in ), and the canonical embedding preserves the products involved (The canonical natural of a field).
Finite products and sums obey Finite sums and finite products, by recursion and Laws of finite sums and finite products, limits obey Algebra of limits: sums, scalar multiples, products and quotients, and (For every in a complete ordered field there is a natural with ). Canonical naturals are positive and strictly increasing (Canonical naturals are positive and strictly increasing), while multiplication by a positive real preserves order (Sign rules for products and monotonicity of multiplication, Ordered field).
Proof
For , .
For , strict increase and positivity give , so every factor in step 1.1 lies in . Thus the finite product lies in , proving the displayed uniform bound.
For each of the finitely many , ; finite-product limit algebra makes the product in step 1.1 tend to . Multiplication by the fixed factor yields the limit.
Depends on
- $\binom{n}{k}\,k!\,(n-k)! = n!$ for $k \le n$; hence $\binom{n}{k}\,k! = n^{\underline{k}}$, the quotient $n!/(k!(n-k)!)$ is a natural number, and $\binom{n}{k} = \binom{n}{n-k}$
- The set $[A]^{k}$ of $k$-element subsets and the binomial coefficient $\binom{n}{k} := \lvert [n]^{k}\rvert$
- The factorial $n!$ and the falling factorial $n^{\underline{k}}$, defined by recursion in $\mathbb{N}$
- Finite sums and finite products, by recursion
- Laws of finite sums and finite products
- Algebra of limits: sums, scalar multiples, products and quotients
- For every $\varepsilon > 0$ in a complete ordered field there is a natural $n \ge 1$ with $1/n < \varepsilon$
- The canonical natural $\iota(n) = n \cdot 1_F$ of a field
- Canonical naturals are positive and strictly increasing
- Sign rules for products and monotonicity of multiplication
- Ordered field
Used by
- For every real x, (1+x/n)ⁿ→exp x Theorem
Dependency tree · next 3 levels
Direct dependencies and their dependencies through the next three levels: 99 results over 26 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
- MIT OpenCourseWare 18.100B Real Analysis, Spring 2025 full lecture notes (standard reference, not scraped)
- J. Lebl, Basic Analysis, Analytic Functions (standard reference, not scraped)
- J. Lebl, Basic Analysis, Logarithm and Exponential (standard reference, not scraped)
- J. K. Hunter, An Introduction to Real Analysis, Chapter 10 (standard reference, not scraped)
- R. Sedgewick and P. Flajolet, Analytic Combinatorics, Asymptotic Approximations (standard reference, not scraped)