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 every real , hence
Statement
For every real , Consequently, if and , then
Facts & Assumptions
Given: A real , a real , and a natural .
The derivative of the exponential is the exponential (The exponential function is smooth and ).
The exponential is strictly increasing (The exponential function is strictly increasing).
The exponential is positive at every real argument (The exponential is positive and satisfies ).
If a function is continuous on and differentiable on , then its endpoint difference equals its derivative at an intermediate point times (The mean value theorem, as the case of Cauchy's: for continuous on with and differentiable on there is with ).
Natural powers are defined recursively, and preserve order on nonnegative bases (Integer powers , Monotonicity of and of ).
For all real , (The exponential addition formula ).
Proof
If , then .
If , [L5] and [L2] give for some ; [L3] gives , hence .
If , apply [L5] on : for some . Now by [L3] and [L4], so and .
The three cases prove for every real .
Apply step 2.1 to to get , then raise both sides to the natural power and use [L7] repeatedly to obtain . The case is equality, including .
Depends on
- The real exponential function and the number $e$ by a power series
- The exponential is positive and satisfies $\exp(-x)=1/\exp(x)$
- The exponential function is smooth and $(\exp)'=\exp$
- The exponential function is strictly increasing
- The exponential addition formula $\exp(x+y)=\exp(x)\exp(y)$
- The mean value theorem, as the case $g(x) = x$ of Cauchy's: for $f$ continuous on $[a,b]$ with $a < b$ and differentiable on $(a,b)$ there is $c \in (a,b)$ with $f(b) - f(a) = f'(c)(b-a)$
- Integer powers $a^m$
- Monotonicity of $x \mapsto x^n$ and of $n \mapsto a^n$
Used by
- The symmetric Lovász Local Lemma under ep(d+1)≤1 Corollary
- A parameter ledger for the high-girth, high-chromatic alteration proof Example
- ℙ(α(G(n,p))≥ s)≤binom ns(1-p)^binom s2≤ nˢ exp(-p binom s2) for s≤ n Lemma
- A k-uniform hypergraph is 2-colourable when every edge meets at most d other edges and e(d+1)≤2ᵏ⁻¹ Theorem
- An n-vertex graph of minimum degree δ>1 has a dominating set of size at most n(log(δ+1)+1)/(δ+1) Theorem
- For all positive k,ℓ, some finite graph has girth greater than ℓ and chromatic number greater than k Theorem
- If k≥1 and n≥3k² 2ᵏ, an n-vertex tournament with property Sₖ exists Theorem
Dependency tree · next 3 levels
Direct dependencies and their dependencies through the next three levels: 122 results over 21 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
- J. Matousek and J. Vondrak, The Probabilistic Method, Chapter 4 (standard reference, not scraped)