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.
Every nonempty closed subset of is the zero set of and the intersection of the open sets , worked for and for
Example
Let carry its usual metric and its usual topology (The absolute value makes a metric space: is a metric, its open balls are the intervals , and it is unbounded, Metrizable space: a topological space whose topology is induced by some metric; metrizability is topological, the metric is not), and write for the inverse of the canonical natural (The canonical natural of a field). Let be nonempty and closed, and put (Bounded subset, diameter, distance from a point to a set, and distance between two sets in a metric space). Then, as the general metric theorem (In a metric space every closed set is a zero set and a , and the distance function separates a point from a closed set, so every metrizable space is Tychonoff and perfectly normal) specialises:
- is continuous and (Zero sets and cozero sets of continuous real-valued functions), so is a zero set.
- , an intersection of open sets, so is a of the topological space ( and subsets of a topological space, agreeing with the real-line notion) and hence a subset of in the sense of and subsets of , the two notions being the same one.
Two worked instances:
- (Intervals of : the nine order-convex forms, nondegeneracy, and length). Here so and, for every real , . Taking gives
- . Here , so the standard presentation of a point of as a .
The converse fails. A subset of need not be closed: is open, hence a by the constant sequence, and it is not closed.
Facts & Assumptions
Given: with the usual metric and topology, a nonempty closed , and reals with .
exists for nonempty , is a lower bound of that set, and is for every ; and any real that is a lower bound of the set is (Bounded subset, diameter, distance from a point to a set, and distance between two sets in a metric space, Greatest lower bound (infimum)).
In a metric space every nonempty closed set satisfies and , and is continuous (In a metric space every closed set is a zero set and a , and the distance function separates a point from a closed set, so every metrizable space is Tychonoff and perfectly normal, claims 1 and 2, , so the distance to a fixed nonempty set is -Lipschitz).
The topological notions of and for with its usual topology coincide with those of and subsets of , the two collections of open subsets of being one collection ( and subsets of a topological space, agreeing with the real-line notion, Open subset of (every point has a neighbourhood inside it), closed subset (complement open), and clopen).
, exactly when , and for one has exactly when (Basic properties of the absolute value).
and ; a two-element set of reals has a minimum (Intervals of : the nine order-convex forms, nondegeneracy, and length, Maximum and minimum of a set).
Every open set is a , by the constant sequence; is open and is not closed, since lies in every open interval around it and not in ( and subsets of a topological space, agreeing with the real-line notion, The absolute value makes a metric space: is a metric, its open balls are the intervals , and it is unbounded, Topology on a set, open and closed sets, clopen sets, the closed-set axiomatisation, and the coarser/finer comparison, Metric space: iff , symmetry, and the triangle inequality; pseudometric and ultrametric).
Verification
Claims 1 and 2 are [L1] applied to the metric space with , and the identification of the two readings of is [L2].
For : every has , so by [L3], and this is minimised over at with value ; since belongs to the set and is a lower bound of it, by [A1].
For : gives in the set, and is a lower bound by [L3], so by [A1].
For : every has , so , minimised at with value , which lies in the set and is a lower bound; so by [A1].
The set is open, hence a by [L5], and is not closed, so a subset of need not be closed.
By steps 1.2, 1.3 and 1.4 the zero set of is , since for and for .
By steps 1.2, 1.3 and 1.4, for the condition holds exactly when for , always for , and for ; that is, exactly when .
For the set is the single value , so by [A1]; hence by [L3], and intersecting over gives by claim 2 of step 1.1.
Taking in step 2.2 and intersecting over gives by claim 2 of step 1.1.
Steps 1.1, 3.1, 2.3 and 1.5 establish the two claims, the two worked instances and the failure of the converse.
Remarks
-
The index starts at , where the radius is , so the first set in each intersection is for and for . Writing instead would divide by zero (The canonical natural of a field).
-
The two presentations are not independent. A zero set is always a (Zero sets and cozero sets of continuous real-valued functions), so claim 2 follows from claim 1; the explicit intersection is written out because it is the presentation an argument actually uses, and because it makes the radii visible.
-
Why this is the metric case of perfect normality. That every closed set is a is one of the two conjuncts of perfect normality (In a metric space every closed set is a zero set and a , and the distance function separates a point from a closed set, so every metrizable space is Tychonoff and perfectly normal); the other, that is normal, comes from the same theorem's completely normal clause. So is , and everything below it in the chain.
Depends on
- In a metric space every closed set is a zero set and a $G_\delta$, and the distance function separates a point from a closed set, so every metrizable space is Tychonoff and perfectly normal
- Zero sets and cozero sets of continuous real-valued functions
- $G_\delta$ and $F_\sigma$ subsets of a topological space, agreeing with the real-line notion
- $F_\sigma$ and $G_\delta$ subsets of $\mathbb{R}$
- $|d(x,A) - d(y,A)| \le d(x,y)$, so the distance to a fixed nonempty set is $1$-Lipschitz
- Bounded subset, diameter, distance from a point to a set, and distance between two sets in a metric space
- The absolute value makes $\mathbb{R}$ a metric space: $d(x,y) = |x-y|$ is a metric, its open balls are the intervals $(x-r, x+r)$, and it is unbounded
- Metrizable space: a topological space whose topology is induced by some metric; metrizability is topological, the metric is not
- Metric space: $d(x,y) = 0$ iff $x = y$, symmetry, and the triangle inequality; pseudometric and ultrametric
- The canonical natural $\iota(n) = n \cdot 1_F$ of a field
- For every $\varepsilon > 0$ in a complete ordered field there is a natural $n \ge 1$ with $1/n < \varepsilon$
- Greatest lower bound (infimum)
- Maximum and minimum of a set
- Basic properties of the absolute value
- Intervals of $\mathbb{R}$: the nine order-convex forms, nondegeneracy, and length
- Open subset of $\mathbb{R}$ (every point has a neighbourhood inside it), closed subset (complement open), and clopen
- Topology on a set, open and closed sets, clopen sets, the closed-set axiomatisation, and the coarser/finer comparison
Used by
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Sources
- Gδ set (Wikipedia) (standard reference, not scraped)
- Normal space (Wikipedia) (standard reference, not scraped)
- J. Munkres, Topology, 2nd ed., §33 (standard reference, not scraped)
- Metrizable space (Wikipedia) (standard reference, not scraped)