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.
The functions for and otherwise converge pointwise but not uniformly on
Example
Give the uniformity of its zero-one metric. For , let when and otherwise. Then converges pointwise, but not uniformly, to the zero function.
Facts & Assumptions
Given: The function set .
For when and otherwise, separation and symmetry are immediate, while the triangle inequality follows because forces or . Thus is a metric; its radius- balls are singletons, so its topology is discrete, and its radius- entourage is equality (Metric space: iff , symmetry, and the triangle inequality; pseudometric and ultrametric, A metric on a nonempty set generates an entourage uniformity whose induced topology and uniformly continuous maps are the usual metric notions, and this uniformity is separated, The discrete, indiscrete, cofinite, cocountable, particular-point and Sierpinski topologies).
Pointwise and uniform convergence are the two function-space uniformities of The pointwise and uniform-convergence uniformities on a function set .
Sequence convergence means eventual membership in every neighbourhood (Convergence and cluster points of a sequence in a topological space, sequential continuity, and the sequential closure).
Verification
For fixed , all have , so the coordinate sequence converges to .
For every , , so is not in the uniform entourage induced by equality on .
Thus converges pointwise to zero by [L2].
Hence convergence is not uniform.
Depends on
- The pointwise and uniform-convergence uniformities on a function set $Y^X$
- The uniform-convergence uniformity is finer than the pointwise uniformity, and they agree when the domain is finite
- The discrete, indiscrete, cofinite, cocountable, particular-point and Sierpinski topologies
- Convergence and cluster points of a sequence in a topological space, sequential continuity, and the sequential closure
- Metric space: $d(x,y) = 0$ iff $x = y$, symmetry, and the triangle inequality; pseudometric and ultrametric
- A metric on a nonempty set generates an entourage uniformity whose induced topology and uniformly continuous maps are the usual metric notions, and this uniformity is separated
Used by
Nothing in the library uses this result yet.
Dependency tree · next 3 levels
Direct dependencies and their dependencies through the next three levels: 87 results over 17 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.