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.
Principal value distribution one over x
Example
The symmetric principal value exists for every and defines a distribution of order at most one on each compact support. Here the truncated integrals are proper Riemann integrals on the two finite intervals meeting the test support, taken componentwise. This construction holds in ZF.
Facts & Assumptions
Compactwise finite-order estimates characterize distributions (Local finite order characterization of distributions).
The mean-value inequality for complex curves gives on the joining interval (The mean value inequality: if is continuous and differentiable on with , then ).
Continuous real functions on compact intervals are Riemann integrable, and their integrals are linear and bounded by interval length times the uniform bound (Every continuous function on a closed nondegenerate rectangle in is Riemann integrable, Linearity, monotonicity, the absolute-value estimate and coordinate-slice additivity for the Riemann integral in ). Apply componentwise for complex functions.
Proof
Given: a test supported in , with .
Changing to in the negative interval, which follows directly by reflecting its tagged partitions, gives for . The quotient extends continuously to with value by the definition of derivative. Its modulus is at most by F2. F3 therefore gives an integral on , and the omitted interval has integral tending to zero, bounded by a constant times . This proves existence of the principal value.
The expression is linear in , since each truncation is linear and limits preserve finite sums. For any fixed compact , choose with . The integral representation from step 1.1 gives for , by separately bounding real and imaginary integrals; the sharper bound also follows from the complex integral triangle inequality but is unnecessary. F1 proves continuity. An even test gives zero because the quotient vanishes. Tests supported away from zero give their ordinary integral against , and the zero test gives zero. The limit requires symmetric removal at zero, with no assertion about independently varying two cutoffs.
Depends on
- Local finite order characterization of distributions
- The mean value inequality: if $f : [a,b] \to \mathbb{R}^m$ is continuous and differentiable on $(a,b)$ with $\lVert f'\rVert_2 \le M$, then $\lVert f(b)-f(a)\rVert_2 \le M(b-a)$
- Every continuous function on a closed nondegenerate rectangle in $\mathbb{R}^m$ is Riemann integrable
- Linearity, monotonicity, the absolute-value estimate and coordinate-slice additivity for the Riemann integral in $\mathbb{R}^m$
Used by
Nothing in the library uses this result yet.
Dependency tree · two levels
45 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
- Semyon Dyatlov, Lecture notes for 18.155 (2022) (standard reference, not scraped)