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.
Separability: the existence of an at most countable dense subset
Definition
A topological space is separable if some at most countable subset is dense in (Dense, nowhere dense and codense subsets of a topological space, and the criterion by basic open sets, Finite, countably infinite, countable, uncountable). Equivalently, every nonempty open subset of meets .
Depends on
Used by
- Geometric median of block means Algorithm
- A separable infinite-dimensional Hilbert space is ℓ² Corollary
- A separable predual has weak-star sequentially compact dual ball Corollary
- c₀ is not isomorphic to a dual space Corollary
- Compact groups are type I and their direct integrals collapse to discrete Hilbert sums Corollary
- Separable reflexive space has separable dual Corollary
- Under choice, the five cardinal functions recover first countability, second countability, separability, Lindelöfness, and ccc at the ℵ₀ threshold Corollary
- A nonconstant summary can lose an identifiable parameter Counterexample
- A nonintegrable error envelope destroys the linear Hellinger rate Counterexample
- An identifiable model can have persistent ABC summary distortion Counterexample
- Infinite-dimensional Gaussian random-walk reverse flow is singular Counterexample
- Pointwise continuity alone does not guarantee the zero-tolerance limit Counterexample
- Positive ABC tolerance changes an identity-summary target Counterexample
- Weakly measurable need not be strongly measurable Counterexample
- A Borel prior concentrated on a forward-map domain Definition
- Centered Borel Gaussian random element on a separable Banach space Definition
- L-spaces, S-spaces, and strong S-spaces Definition
- L2-m-approximable causal Bernoulli shifts Definition
- Mackey Borel structure and countable separation of the unitary dual Definition
- P-ideals, PID, the pseudointersection number, and S-spaces Definition
- Polish spaces are separable completely metrizable spaces Definition
- Small-ball MAP conventions and Cameron–Martin relative modes Definition
- Spectral multiplicity function in the separable case Definition
- Systems of imprimitivity for a Borel G-space Definition
- Wiener measure on continuous path space Definition
- A Bernoulli count is a sufficient summary for a finite-sample posterior Example
- A finite deterministic copy has mutual information equal to entropy Example
- A Gaussian wavelet series at the Besov threshold Example
- A polynomial-tail law with finite variance Example
- A stable two-point potential gives a Lipschitz posterior Example
- A trace-class Gaussian with full support and a proper Cameron–Martin space Example
- Assuming countable choice, ω₁ is first countable and countably compact but is not separable or Lindelöf Example
- Canonical least-ball selection removes choice Example
- Changing a conditional kernel on a null fiber leaves information unchanged Example
- Coarsening the conditioning variable can increase conditional mutual information Example
- Diagonal trace-class Fredholm determinant Example
- Exponential singular-value decay and an exponentially weighted truth class Example
- Multiplicity-two diagonal representation Example
- One corrupted block is rejected by the geometric median Example
- Polynomial singular-value decay and a power Gaussian prior Example
…and 94 more results.
Dependency tree · two levels
10 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
- UCR General Topology Notes (standard reference, not scraped)
- Separable space (Wikipedia) (standard reference, not scraped)