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 moving spikes on converge pointwise to , do not converge uniformly, and do not converge in the topology of compact convergence
Example
Let with the metric inherited from , let for (The canonical natural of a field), and let be the moving spike
which is exactly the family built in FALSE: a pointwise convergent sequence of continuous functions converges uniformly on every compact set: each is continuous, and converges pointwise to the constant function , which is continuous. Write for the uniform metric on (For a nonempty set and a metric space the uniform metric is a metric on ).
This example traces the one family through all three topologies of the A page:
- in the topology of pointwise convergence (The topology of pointwise convergence on , which is the product topology, and its restriction to );
- for every , so does not converge to in the topology of uniform convergence (Uniform convergence, and the topology of uniform convergence: the metric topology of the uniform metric on and on );
- does not converge to in the topology of compact convergence either (The topology of compact convergence on for metric and : uniform convergence on each compact subset of ).
So the two inclusions of On with and metric, uniform convergence is finer than compact convergence, which is finer than pointwise convergence are strict on at the leftmost step: pointwise convergence is strictly weaker than convergence on compact sets. The two rightmost topologies coincide here, because is itself compact; separating those two needs a domain that is not compact, and the next counterexample on this page does it on .
Facts & Assumptions
Given: with the metric , the reals , the spikes displayed above, the constant function , and the truncated metric on .
Each is a well-defined continuous function , converges pointwise to , , and (FALSE: a pointwise convergent sequence of continuous functions converges uniformly on every compact set, steps of its refutation, Continuity may be checked on any open cover, and on any finite closed cover; composites of continuous maps are continuous, The canonical natural of a field, For every in a complete ordered field there is a natural with , Intervals of : the nine order-convex forms, nondegeneracy, and length, 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, Isometry, isometric embedding, and the subspace metric on a subset).
for every : on the value lies between and , on the value does, and on it is (Maximum and minimum of a set, Every nonempty finite set of reals has a maximum and a minimum).
equals whenever , and is the least upper bound of ( and are metrics uniformly equivalent to , so every metric space carries a bounded metric with the same topology, For a nonempty set and a metric space the uniform metric is a metric on , Every nonempty finite set of reals has a maximum and a minimum, Maximum and minimum of a set, Complete ordered field (least-upper-bound property), Suprema and infima are unique).
Convergence in the uniform metric is exactly uniform convergence, and convergence in a metric space means the distances tend to (Convergence in the uniform metric is exactly uniform convergence: one serving every point, Uniform convergence, and the topology of uniform convergence: the metric topology of the uniform metric on and on ).
A sequence converges in the topology of pointwise convergence exactly when it converges at every point (A sequence converges in the topology of pointwise convergence exactly when it converges at every point).
The topology of uniform convergence is finer than the topology of compact convergence, which is finer than the topology of pointwise convergence, so convergence in a finer topology implies convergence in a coarser one (On with and metric, uniform convergence is finer than compact convergence, which is finer than pointwise convergence).
is a compact subset of and the sets centred at are a neighbourhood base at in the topology of compact convergence (Heine-Borel in : with the Euclidean metric a subset of is compact if and only if it is closed and bounded, and the proof by bisection uses no choice principle; the same holds on the real line, Open cover, subcover, compact metric space, and compact subset of a metric space, The topology of compact convergence on for metric and : uniform convergence on each compact subset of , fact (U4), Open ball, closed ball and sphere in a metric space, The metric topology: a set is open when every one of its points has a ball around it inside the set; closed means open complement).
Verification
converges to at every point of , hence in the topology of pointwise convergence; this is claim 1.
For every and every : , so .
Hence is an upper bound of and the value is attained at , so for every .
Therefore no index makes for , so does not converge to in the uniform metric and hence not in the topology of uniform convergence; this is claim 2.
is compact and , so for every , while is a member of a neighbourhood base at in the topology of compact convergence; so no tail of lies in that neighbourhood and does not converge to there, which is claim 3.
Claims 1 and 3 together show that convergence in the topology of pointwise convergence does not imply convergence in the topology of compact convergence, so the leftmost inclusion of the comparison theorem is strict on .
Remarks
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Nothing is lost and nothing is gained by the truncation. The uniform metric truncates distances at , and here the spikes never exceed , so is the honest supremum of . A family of spikes of height would have as well, which is exactly the sense in which the uniform metric records "not close" without recording how far.
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The failure is at a moving point. For each fixed the values are eventually ; what prevents a single index from serving every is that the place where equals depends on and never disappears. That is the quantifier order of Uniform convergence, and the topology of uniform convergence: the metric topology of the uniform metric on and on , seen in one family.
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On this domain the two right-hand topologies cannot be separated. Since is compact, is an admissible compact set and convergence on every compact subset of is convergence on itself, that is uniform convergence. Separating them needs a domain that is not compact, and the next counterexample on this page uses .
Depends on
- The topology of pointwise convergence on $Y^{X}$, which is the product topology, and its restriction to $C(X,Y)$
- A sequence converges in the topology of pointwise convergence exactly when it converges at every point
- Uniform convergence, and the topology of uniform convergence: the metric topology of the uniform metric on $Y^{X}$ and on $C(X,Y)$
- Convergence in the uniform metric is exactly uniform convergence: one $N$ serving every point
- The topology of compact convergence on $C(X,Y)$ for metric $X$ and $Y$: uniform convergence on each compact subset of $X$
- On $C(X,Y)$ with $X$ and $Y$ metric, uniform convergence is finer than compact convergence, which is finer than pointwise convergence
- FALSE: a pointwise convergent sequence of continuous functions converges uniformly on every compact set
- For a nonempty set $X$ and a metric space $(Y,d)$ the uniform metric $\bar\rho(f,g) = \sup_{x} \min\{d(f(x),g(x)), 1\}$ is a metric on $Y^{X}$
- Continuity may be checked on any open cover, and on any finite closed cover; composites of continuous maps are continuous
- Intervals of $\mathbb{R}$: the nine order-convex forms, nondegeneracy, and length
- 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
- 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 $1/n < \varepsilon$
- Maximum and minimum of a set
- Every nonempty finite set of reals has a maximum and a minimum
- $\min(d,1)$ and $d/(1+d)$ are metrics uniformly equivalent to $d$, so every metric space carries a bounded metric with the same topology
- Open cover, subcover, compact metric space, and compact subset of a metric space
- Heine-Borel in $\mathbb{R}^n$: with the Euclidean metric a subset of $\mathbb{R}^n$ is compact if and only if it is closed and bounded, and the proof by bisection uses no choice principle; the same holds on the real line
- Open ball, closed ball and sphere in a metric space
- The metric topology: a set is open when every one of its points has a ball around it inside the set; closed means open complement
- Isometry, isometric embedding, and the subspace metric on a subset
- Complete ordered field (least-upper-bound property)
- Suprema and infima are unique
Used by
Nothing in the library uses this result yet.
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Sources
- Uniform convergence (Wikipedia) (standard reference, not scraped)
- W. Rudin, Principles of Mathematical Analysis, 3rd ed., Ch. 7 (standard reference, not scraped)