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.
Poincare on an interval: the length dependence is linear
Example
Assume the Axiom of Choice (The Axiom of Choice). Let with and let . For every with mean one has The dependence on cannot be improved below a positive multiple of : for the weak derivative is , the mean vanishes, and so the ratio equals with . Consequently every admissible constant for this family is at least , while the inequality above shows that itself is admissible: the optimal constant is of order .
Facts & Assumptions
Given: The Axiom of Choice (used only through the cited absolutely-continuous-representative interface); reals and ; the interval ; and a class with .
Every has exactly one continuous locally absolutely continuous representative with for all , and almost everywhere (One-dimensional functions have unique absolutely continuous representatives).
consists of the classes whose weak derivative exists as an class, and equality of classes is equality almost everywhere (Integer-order Sobolev spaces and their norms, The space as the quotient by null functions).
On a finite measure space includes into for , so and the mean is a well-defined scalar (Finite-measure includes into for ); the interval has (A box in with parameters is Lebesgue measurable of measure , whichever of its faces are included).
Holder's inequality gives for and , while for the same display holds with (Holder's inequality for integrals, including the endpoint cases).
A function with real and imaginary parts has its classical partial derivatives as weak derivatives (Classical derivatives agree with weak derivatives).
Newton-Leibniz with finitely many exceptional points: if is continuous on , differentiable off a finite set, and is Riemann integrable with off that set, then (Newton–Leibniz remains valid across finitely many exceptional interior points when the primitive is continuous).
A bounded Riemann integrable function on is Lebesgue integrable there and its Lebesgue integral equals its Riemann integral (A bounded Riemann integrable function on a closed bounded interval is Lebesgue measurable and has the same integral).
For real the function is differentiable on with derivative (Continuity and derivatives of positive-base real powers).
Verification
By [F1] the class has a continuous representative on that is locally absolutely continuous and satisfies for all , and almost everywhere. Since and , [F3] gives , so is well defined and equals by [F2]; the norms agree because the two integrands coincide almost everywhere.
The linear function attains the scaling. Let on . Its real and imaginary parts are , so by [F5] with weak derivative , and by [F3]. The antiderivative is continuous and on , so [F6], [F7] and [F3] give . Finally has the continuous majorant-free antiderivative identity by [F6], [F7] and [F8] (the derivative of is on and the endpoint values are limits), so . Taking -th roots gives .
Oscillation bound. For all the representative satisfies ; by [F4], applied to , this is at most for and at most for , that is, at most in both cases.
The mean-zero bound. For every the identity and [F4] with give ; by step 2.1 the integrand is at most for every . Integrating over therefore yields , and taking -th roots gives the asserted inequality.
Sharpness. Dividing the two norms computed in step 1.2 gives with . Hence for every there is a class in for which the ratio of the left side to equals , so no constant smaller than can be admissible for all ; combined with step 3.1 the optimal constant for this family lies between and , and in particular is a positive multiple of .
Source notes
The upper bound is the one-dimensional instance of the Poincare inequality for functions on bounded open sets; Kinnunen, Theorem 3.12 treats cube mean oscillations (an interval when ); the present proof works directly on the given interval, and Hunter's Theorem 4.9 gives the related p=2 zero-boundary slab estimate; here the cited one-dimensional representative supplier gives the mean-zero interval argument for all finite p. The computation of the extremal ratio for the affine function is included to fix the linear dependence on the interval length, which the statement of the companion theorem does not quantify; no claim about the exact optimal constant beyond the two-sided order is made.
Depends on
- The Axiom of Choice
- The space $L^p(\mu)$ as the quotient by null functions
- Integer-order Sobolev spaces and their norms
- Finite-measure $L^r$ includes into $L^p$ for $p < r$
- A box in $\mathbb{R}^n$ with parameters $a_i\le b_i$ is Lebesgue measurable of measure $\prod_{i<n}(b_i-a_i)$, whichever of its faces are included
- One-dimensional $W^{1,p}$ functions have unique absolutely continuous representatives
- Holder's inequality for integrals, including the endpoint cases
- Classical derivatives agree with weak derivatives
- Newton–Leibniz remains valid across finitely many exceptional interior points when the primitive is continuous
- A bounded Riemann integrable function on a closed bounded interval is Lebesgue measurable and has the same integral
- Continuity and derivatives of positive-base real powers
Used by
Nothing in the library uses this result yet.
Dependency tree · two levels
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Sources
- Juha Kinnunen, Sobolev Spaces (Aalto University, 2026, complete graduate lecture notes) (standard reference, not scraped)
- John K. Hunter, Notes on Partial Differential Equations (UC Davis, revised 18 June 2014, complete 242-page two-quarter notes) (standard reference, not scraped)