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Approximation and Compactness in
1 · Prerequisites
- Binary Operations, Monoids, Groups and Subgroups
- Compactness in Metric Spaces
- Completeness, Completion, and Uniform Continuity
- Construction of the Natural Numbers
- Construction of the Real Numbers via Cauchy Sequences
- Construction of the Real Numbers via Dedekind Cuts
- Continuity, IVT, EVT, and Uniform Continuity
- Countability and Uncountability
- Filters and Ultrafilters
- Finite Counting, Factorials and Binomial Coefficients
- Foundations of the Real Numbers for Analysis
- Limits of Real Functions
- Metric Spaces
- Monotone Sequences, Bolzano-Weierstrass, and Cauchy Completeness
- Order, Zorn's Lemma, and the Axiom of Choice
- Relations, Functions, and Quotients
- Roots, Rational Powers, and Classical Inequalities
- Sequences and Limits
- Sequences and Series of Functions; Uniform Convergence
- Series: Convergence and the Nonnegative Tests
- Suprema and Infima
- The Derivative and the Mean Value Theorems
- The ZFC Axioms and the Basic Set Constructions
- Topology of ℝ
- Vector Spaces, Linear Subspaces, Span and Direct Sums
2 · Summary
The space is formed from continuous real-valued functions on a compact metric space. The supremum metric, compactness criteria, uniform convergence, and the finite binomial identities used by Bernstein polynomials provide the background for its approximation theory. Compactness is expressed through equicontinuity and boundedness, while uniform limits preserve continuity.
The development defines the family conditions needed for Arzelà--Ascoli, proves polynomial approximation through Bernstein polynomials, and gives the real Stone--Weierstrass argument for unital point-separating algebras. It also proves the closed-set form of Baire category needed for the dense nowhere-differentiability result and establishes the Takagi function as an explicit witness.
3 · Logical flowchart
4 · Definitions, theorems and proofs
Equicontinuity, pointwise boundedness, and uniform boundedness for families in
Definition
Let be a nonempty compact metric space and let in the sense of The space of continuous real-valued functions on a nonempty compact metric space. The family is equicontinuous at when, for every , there is such that for every and every , implies . It is equicontinuous when this holds at every .
It is pointwise bounded when, for every , the set is bounded in . It is uniformly bounded when a real satisfies for every and .
An equicontinuous family on a compact metric space is uniformly equicontinuous
Statement
Let be a nonempty compact metric space and let be equicontinuous. For every there is such that for every and , implies .
Facts & Assumptions
Given: A positive real and an equicontinuous family on .
Equicontinuity at each gives a radius such that implies for every (Equicontinuity, pointwise boundedness, and uniform boundedness for families in ).
Compactness means that every open cover has a finite subcover (Open cover, subcover, compact metric space, and compact subset of a metric space).
Proof
The balls for cover , so choose finitely many centres whose balls cover .
Let be the least of the finitely many positive radii . If , choose with ; then both and lie in .
The two estimates from [L1] and the triangle inequality give for every .
Equicontinuity and pointwise boundedness on a compact metric space imply uniform boundedness
Statement
An equicontinuous, pointwise-bounded family on a nonempty compact metric space is uniformly bounded.
Facts & Assumptions
Given: An equicontinuous and pointwise-bounded family .
There is a common radius such that implies for all (An equicontinuous family on a compact metric space is uniformly equicontinuous).
Pointwise boundedness and uniform boundedness have the quantified meanings in Equicontinuity, pointwise boundedness, and uniform boundedness for families in .
Proof
The -balls cover ; compactness supplies finitely many centres whose -balls cover it.
By pointwise boundedness, choose with for every , and let .
For , choose with ; then .
Thus uniformly bounds .
An equicontinuous pointwise-bounded family in has a finite net in the supremum metric
Statement
An equicontinuous pointwise-bounded family is totally bounded for the supremum metric.
Facts & Assumptions
Given: A positive real and an equicontinuous pointwise-bounded family .
Uniform equicontinuity gives a finite set such that agreement within at every point of forces agreement within everywhere (An equicontinuous family on a compact metric space is uniformly equicontinuous).
The family is uniformly bounded (Equicontinuity and pointwise boundedness on a compact metric space imply uniform boundedness).
Totally bounded means that every positive radius admits a finite covering by metric balls (Finite -net and totally bounded metric space).
Proof
Choose a finite -net in from the uniform equicontinuity radius for .
By [L2], every vector lies in one bounded box in ; cover that box by finitely many coordinate cubes of side less than .
Choose one member of from each nonempty inverse image of such a cube. Every and its chosen representative differ by less than on .
For any , choose with and use equicontinuity for both functions and step 2.1 to obtain .
The finitely many representatives form an -net, so is totally bounded.
A uniformly convergent sequence of continuous functions, together with its limit, is equicontinuous
Statement
If uniformly on a compact metric space and every is continuous, then is equicontinuous.
Facts & Assumptions
Given: and .
A uniform limit of continuous real-valued functions is continuous (The uniform limit of continuous real-valued functions on a metric space is continuous).
Equicontinuity is the common-radius condition for a family of functions (Equicontinuity, pointwise boundedness, and uniform boundedness for families in ).
Proof
Choose such that for every and .
By [L1], choose a neighbourhood of on which ; by continuity of the finitely many with , shrink it so the same inequality with holds for all of them.
On that neighbourhood, the triangle inequality gives for , while step 1.2 covers and .
Thus the displayed family is equicontinuous at arbitrary , hence equicontinuous.
Arzelà--Ascoli for real under Countable Choice and Dependent Choice: compact closure iff equicontinuous and pointwise bounded
Statement
Assume the Axiom of Countable Choice (The Axiom of Countable Choice ()) and the Axiom of Dependent Choice (The axiom of dependent choice: a relation in which every element is related to something admits an -indexed chain). Let be a nonempty compact metric space and . Its closure in the supremum metric is compact if and only if is equicontinuous and pointwise bounded.
Facts & Assumptions
Given: The Axiom of Countable Choice, the Axiom of Dependent Choice, and a family .
An equicontinuous pointwise-bounded family is totally bounded in the supremum metric (An equicontinuous pointwise-bounded family in has a finite net in the supremum metric).
is complete in the supremum metric ( is complete in the supremum metric for every nonempty compact metric space ).
A subspace of a complete metric space is complete exactly when it is closed; assuming Countable Choice and Dependent Choice, in a metric space compactness is equivalent to completeness together with total boundedness (A subspace of a complete metric space is complete iff it is closed, and a complete subspace of any metric space is closed, For a metric space, compact, countably compact, limit point compact, sequentially compact, and complete together with totally bounded are all equivalent, given countable choice and dependent choice).
Equicontinuity and pointwise boundedness are as defined in Equicontinuity, pointwise boundedness, and uniform boundedness for families in .
A continuous function on a compact metric space is uniformly continuous (Heine-Cantor: a continuous map from a compact metric space to any metric space is uniformly continuous).
Proof
Suppose is equicontinuous and pointwise bounded. By [L1] it is totally bounded, and its closure is totally bounded as well.
Conversely suppose the closure is compact. For a positive , choose a finite -net in the closure; by [L5], a common positive radius makes every vary by less than .
The closure is closed in the complete space of [L2], hence complete by [L3]. Therefore its closure is compact by [L3].
For , choose within in supremum distance. The two uniform-distance bounds and step 1.2 give whenever is below the common radius.
The same finite net bounds at each fixed , so is pointwise bounded.
Steps 2.2 and 2.3 give equicontinuity and pointwise boundedness, completing the converse.
Every pointwise-bounded equicontinuous sequence in has a uniformly convergent subsequence
Statement
Assume the Axiom of Countable Choice (The Axiom of Countable Choice ()) and the Axiom of Dependent Choice (The axiom of dependent choice: a relation in which every element is related to something admits an -indexed chain). Let be a nonempty compact metric space. Every equicontinuous pointwise-bounded sequence in has a subsequence converging uniformly to a member of .
Facts & Assumptions
Given: A nonempty compact metric space , the stated choice principles, and an equicontinuous pointwise-bounded sequence in .
For a nonempty compact metric space , an equicontinuous pointwise-bounded family in has compact closure in the supremum metric (Arzelà--Ascoli for real under Countable Choice and Dependent Choice: compact closure iff equicontinuous and pointwise bounded).
Assuming Countable Choice and Dependent Choice, a compact metric space is sequentially compact (For a metric space, compact, countably compact, limit point compact, sequentially compact, and complete together with totally bounded are all equivalent, given countable choice and dependent choice).
Proof
The sequence lies in its compact closure by [L1].
By [L2], it has a subsequence converging in the supremum metric to a point of that closure.
Supremum-metric convergence is uniform convergence, so the claimed subsequence converges uniformly.
The Bernstein polynomial on
Definition
Let and . Its Bernstein polynomial with index is
when . It is a polynomial of degree at most when nonzero, and it may be the zero polynomial (for example when ). Here the finite sum and binomial coefficients are those of Finite sums and finite products, by recursion and The set of -element subsets and the binomial coefficient . For set ; this separate clause avoids the undefined quotient .
The zeroth, first, and second centred moments of the Bernstein basis
Statement
For , , and ,
Facts & Assumptions
Given: and .
The binomial theorem gives (The binomial theorem in : ).
Finite sums are additive, scale, and split as in Laws of finite sums and finite products.
Proof
Apply [L1] to and to obtain the zeroth identity.
Reindex the terms and apply [L1] at exponent to obtain the first identity.
Apply the same reindexing to when , combine it with step 1.2, and expand the square.
For the displayed centred identity is checked directly; together with step 2.1 this proves it for all .
Bernstein polynomials converge uniformly to every continuous function on
Statement
If is continuous, then uniformly on .
Facts & Assumptions
Given: A continuous function and .
A continuous function on a compact metric space is uniformly continuous (Heine-Cantor: a continuous map from a compact metric space to any metric space is uniformly continuous).
The Bernstein basis has the zeroth and centred second moment identities (The zeroth, first, and second centred moments of the Bernstein basis).
For each positive real there is a natural with (For every in a complete ordered field there is a natural with ).
Proof
Choose such that whenever , and choose with .
On the far part, ; hence its total basis weight is at most by [L2].
Split the Bernstein sum into and its complement. The near part is at most by the zeroth identity.
Choose so large that . The far part is then below , uniformly in .
The near and far estimates give for every and all sufficiently large .
Polynomials are uniformly dense in
Statement
For every and , there is a polynomial with .
Facts & Assumptions
Given: and .
The Bernstein polynomials of converge uniformly to (Bernstein polynomials converge uniformly to every continuous function on ).
Proof
Choose with .
The finite defining sum for is a polynomial in , so has the required property.
Polynomials are uniformly dense in for every closed interval
Statement
For , every continuous real function on is a uniform limit of polynomials.
Facts & Assumptions
Given: and .
Polynomials are uniformly dense on (Polynomials are uniformly dense in ).
Closed intervals have the endpoint convention of Intervals of : the nine order-convex forms, nondegeneracy, and length.
Proof
If , the constant polynomial agrees with on the singleton interval.
Now suppose and define on .
Choose a polynomial with on by [L1].
Then is a polynomial and satisfies on . Together with step 1.1 this proves both cases.
A unital point-separating real subalgebra of
Definition
Let be a nonempty compact metric space. A set is a unital real function algebra when it contains every constant function and is closed under pointwise addition, scalar multiplication, and multiplication. It separates points when for every distinct there is with . The ambient function space is The space of continuous real-valued functions on a nonempty compact metric space.
The uniform closure of a unital real function algebra is closed under absolute value, maximum, and minimum
Statement
If is a unital real function algebra and is its uniform closure, then implies ; consequently and lie in whenever do.
Facts & Assumptions
Given: A unital real function algebra and .
The algebra operations and constants are those in A unital point-separating real subalgebra of .
Polynomials uniformly approximate on every bounded closed interval (Polynomials are uniformly dense in for every closed interval).
Proof
Choose converging uniformly to . Their ranges, together with that of , lie in one bounded interval.
By [L2], choose polynomials with converging uniformly to on that interval. Then by [L1].
A diagonal choice of makes uniformly converge to , so .
The identities and and [L1] give the remaining closure.
A unital separating real function algebra interpolates arbitrary values at two distinct points
Statement
If is unital and separates points, then for distinct and reals there is with and .
Facts & Assumptions
Given: Distinct and .
Separation gives with ; constants and affine combinations of members of remain in (A unital point-separating real subalgebra of ).
Proof
Choose from [L1] and put .
The denominator is nonzero, , and direct substitution gives and .
Real Stone--Weierstrass theorem for compact metric spaces
Statement
Let be a nonempty compact metric space and let be a unital subalgebra which separates points. Then is dense in for the supremum metric.
Facts & Assumptions
Given: and .
The uniform closure is closed under pointwise maximum and minimum (The uniform closure of a unital real function algebra is closed under absolute value, maximum, and minimum).
For distinct and prescribed real values at , contains a function taking those two values (A unital separating real function algebra interpolates arbitrary values at two distinct points).
Every open cover of the compact metric space has a finite subcover (Open cover, subcover, compact metric space, and compact subset of a metric space).
Proof
For fixed , choose with and , using when and [L2] otherwise.
For fixed , the open sets cover , since . Select whose sets cover by [L3].
Put . Then and on .
The open sets cover . By [L3], choose whose cover .
The function belongs to by [L1], and pointwise. Thus .
Since was arbitrary and every of step 5.1 lies in the closed set , the function lies in . Thus and is dense.
Under Dependent Choice, a nonempty complete metric space is not a countable union of closed sets with empty interior
Statement
Assume the Axiom of Dependent Choice (). If a nonempty metric space is complete, then it is not the union of a sequence of closed sets each having empty interior. Equivalently, the intersection of countably many open dense subsets of is dense.
Facts & Assumptions
Given: The Axiom of Dependent Choice (), closed sets with empty interior, and a nonempty open set .
A complete metric space contains the limit of every Cauchy sequence (Complete metric space: every Cauchy sequence converges in the space).
Under the assumed Axiom of Dependent Choice, a recursively specified sequence of balls is permitted (The axiom of dependent choice: a relation in which every element is related to something admits an -indexed chain).
For every positive real number there is a reciprocal integer smaller than it (For every in a complete ordered field there is a natural with ).
Proof
If is empty the assertion is vacuous. Otherwise choose an open ball whose closure lies in ; this is possible because is open.
Given a nonempty open ball , its intersection with is nonempty because has empty interior. Choose an open ball with nonempty closure, , and radius below .
Dependent choice gives balls satisfying step 1.2 for every . Choose centres .
The nesting and the radius bound make Cauchy: for , both and lie in , so their distance is at most twice the radius of , which tends to zero.
Let , supplied by completeness [L1]. For every , the tail lies in the closed set , so .
Thus . Every nonempty open meets this complement, proving both stated formulations.
Functions satisfying a fixed local Lipschitz bound somewhere form a closed subset of
Statement
For , let be the functions for which some satisfies whenever and . Then is closed in the supremum metric.
Facts & Assumptions
Given: converges to in the supremum metric.
Supremum-metric convergence is uniform convergence (The supremum metric is a metric on the bounded real-valued functions on a nonempty set, Convergence of a sequence in a metric space: iff in , Pointwise convergence, uniform convergence, and the uniformly Cauchy condition for sequences of real-valued functions).
Every sequence in has a convergent subsequence with limit in (Bolzano-Weierstrass: every bounded real sequence has a convergent subsequence, Intervals of : the nine order-convex forms, nondegeneracy, and length).
A uniform limit of continuous real functions is continuous (The uniform limit of continuous real-valued functions on a metric space is continuous).
Proof
For each , choose a witness for . Pass to a subsequence with using [L2].
By [L1], uniformly, and [L3] confirms that .
Fix with . For all sufficiently large , , hence .
Letting tend to infinity in step 2.1, uniform convergence and continuity of give .
The point witnesses ; therefore is sequentially closed, hence closed in this metric space.
Polygonal functions with sufficiently steep nonvertex slopes are dense in
Statement
For every , every , and every , there is a piecewise-affine with finitely many vertices such that and every slope on a nonvertex affine piece has absolute value greater than .
Facts & Assumptions
Given: , , and .
The function is uniformly continuous on (Heine-Cantor: a continuous map from a compact metric space to any metric space is uniformly continuous).
Positive lengths admit arbitrarily fine equal subdivisions (For every in a complete ordered field there is a natural with ).
Proof
By [L1], choose a finite partition so that whenever are in one partition interval. Let be the affine interpolant through .
The affine-interpolation formula makes on every partition interval. Let be the maximum of the finitely many absolute slopes of .
Choose . By [L2], subdivide every partition interval evenly enough to support a continuous triangular sawtooth , zero at the old vertices, with and every nonvertex slope of absolute value greater than .
Put . On each new affine piece, the reverse triangle inequality gives , while .
This has the required finite polygonal structure, approximation, and slope bound.
Under Dependent Choice, continuous nowhere differentiable functions form a dense subset of
Statement
Assume the Axiom of Dependent Choice (). Then the set of continuous functions having no finite two-sided derivative at an interior point and no finite one-sided derivative at either endpoint is dense in for the supremum metric.
Facts & Assumptions
Given: The Axiom of Dependent Choice (); for , is the fixed local-Lipschitz set of Functions satisfying a fixed local Lipschitz bound somewhere form a closed subset of .
Polygonal functions whose nonvertex slopes exceed any prescribed bound are dense (Polygonal functions with sufficiently steep nonvertex slopes are dense in ).
is a nonempty complete metric space in the supremum metric ( is complete in the supremum metric for every nonempty compact metric space ).
A finite derivative is the limit of its local difference quotients, with the stated one-sided endpoint convention (The derivative of at a point that is a limit point of , and differentiability on a set).
Assume the Axiom of Dependent Choice (). The intersection of countably many open dense subsets of a nonempty complete metric space is dense (Under Dependent Choice, a nonempty complete metric space is not a countable union of closed sets with empty interior).
Proof
Each has empty interior. Indeed, every supremum ball contains by [L2] a polygonal all of whose nonvertex slopes have absolute value greater than ; at any point, including a vertex or endpoint, a sufficiently nearby point on an adjacent affine piece violates the defining -bound.
If had a finite derivative at , [L4] would bound its difference quotients by some integer on a sufficiently small radius , placing in ; this contradicts .
Hence every is open and dense by [L1].
Apply [L5] to the complete space of [L3]. The intersection is dense.
Thus is a dense subset of the continuous nowhere-differentiable functions, which proves the statement.
The tent function and the Takagi series
Definition
For , put and
By the integer-part convention of Integer part: for every real there is exactly one integer with , ; thus this is equivalently the distance from to the integers. In particular and is -periodic.
For , the Takagi series is the series of real functions in the sense of A series of real-valued functions and its pointwise and uniform convergence through its partial sums
The Takagi series converges uniformly to a continuous nowhere differentiable function
Statement
The Takagi series converges uniformly on . Its sum is continuous and has no finite derivative at any point of , with one-sided derivatives at the endpoints understood.
Facts & Assumptions
Given: The tent function and series are as in The tent function and the Takagi series .
The Weierstrass M-test gives uniform convergence from a summable uniform majorant (The Weierstrass M-test gives absolute pointwise convergence and uniform convergence of a function series).
A uniform limit of continuous real functions is continuous (The uniform limit of continuous real-valued functions on a metric space is continuous).
Differentiability requires convergence of the relevant difference quotients (The derivative of at a point that is a limit point of , and differentiability on a set).
Proof
Since , the th summand is bounded by ; its majorant series converges. Thus converges uniformly by [L1].
For and each , let be the adjacent dyadic rationals of order ; at use the left adjacent interval. Every summand of index at least vanishes at both endpoints, while each earlier summand is affine on that interval with slope .
Every summand is continuous, so is continuous by [L2].
Hence . These secant slopes cannot converge to a finite real number, because consecutive partial sums differ by of absolute value one.
If a finite derivative existed at an interior point, both endpoint difference quotients and therefore their secant combination would tend to it; at a dyadic point or endpoint the same argument uses the nested one-sided dyadic intervals. This contradicts step 2.2 and [L3].
5 · Examples, counterexamples and false statements
Rudin's bounded rational spikes are not equicontinuous and have no uniformly convergent subsequence
Statement refuted
Refuted: a uniformly bounded family of continuous functions on must be equicontinuous or have a uniformly convergent subsequence.
Facts & Assumptions
Given: for .
A uniform limit of continuous real functions is continuous (The uniform limit of continuous real-valued functions on a metric space is continuous).
Proof
Each is continuous, , , and .
For every fixed , , while . Thus any uniformly convergent subsequence would have the zero function as its pointwise limit, consistently with [L1].
The common values at and contradict equicontinuity at .
Uniform convergence to zero is impossible because .
This bounded family is neither equicontinuous nor uniformly sequentially compact.
All constant functions form an equicontinuous family that is not pointwise bounded
Statement refuted
Refuted: equicontinuity alone implies pointwise boundedness.
Facts & Assumptions
Given: on a nonempty metric space, where .
Equicontinuity and pointwise boundedness have the meanings of Equicontinuity, pointwise boundedness, and uniform boundedness for families in .
Counterexample
Proof
For every and all , , so any positive works simultaneously for every member of .
At each fixed point , , which is unbounded.
Hence this family is equicontinuous but not pointwise bounded.
Translations of a fixed bump on are uniformly bounded and equicontinuous but have no uniformly convergent subsequence
Statement refuted
Refuted: on an arbitrary metric domain, a uniformly bounded family satisfying the usual all-metric-space -- equicontinuity condition must have a uniformly convergent subsequence.
Facts & Assumptions
Given: and for .
A uniformly convergent sequence of real-valued functions is uniformly Cauchy (A sequence of real-valued functions converges uniformly if and only if it is uniformly Cauchy).
Proof
The triangular bump is -Lipschitz and takes values in . Every translate has the same properties. Thus the family is uniformly bounded and, for every , the common choice gives for every ; this is the ordinary all-metric-space equicontinuity condition used in the refuted claim.
If , then at one has and ; consequently .
Every infinite subsequence contains two indices separated by at least , so no subsequence is uniformly Cauchy.
By [L1], no subsequence can converge uniformly.
The Bernstein polynomials of equal
Statement
For and , . Hence . For , .
Facts & Assumptions
Given: on .
The first two Bernstein binomial moments are those of The zeroth, first, and second centred moments of the Bernstein basis.
The Bernstein polynomial is defined in The Bernstein polynomial on .
Proof
For , substitute in the definition and use [L1] to obtain .
Since with equality at , the stated supremum error is .
The separate definition at degree zero gives .
Under the Axiom of Countable Choice and the Axiom of Dependent Choice, the family , , is compact in
Statement
Assume the Axiom of Countable Choice (The Axiom of Countable Choice ()) and the Axiom of Dependent Choice (The axiom of dependent choice: a relation in which every element is related to something admits an -indexed chain). The family , where , is compact in the supremum metric.
Facts & Assumptions
Given: The Axiom of Countable Choice, the Axiom of Dependent Choice, and for .
Every sequence in has a convergent subsequence (Bolzano-Weierstrass: every bounded real sequence has a convergent subsequence).
Assuming the Axiom of Countable Choice and the Axiom of Dependent Choice, sequential compactness and compactness are equivalent for a metric space (For a metric space, compact, countably compact, limit point compact, sequentially compact, and complete together with totally bounded are all equivalent, given countable choice and dependent choice).
Proof
The reverse triangle inequality gives for every ; evaluating at gives .
Given a sequence in , use [L1] to choose . Step 1.1 then gives uniformly.
Thus is sequentially compact, and it is compact by [L2].
Even polynomials on form a unital algebra but are not dense because they do not separate and
Statement refuted
Refuted: a unital real function algebra on a compact space is dense without the point-separation hypothesis.
Facts & Assumptions
Given: is the algebra of even polynomials restricted to .
A unital separating real function algebra has the properties in A unital point-separating real subalgebra of .
Proof
The constants belong to , and sums and products of even polynomials are even, so is a unital algebra.
Every has ; therefore does not separate these two points.
If , then , so .
Hence the identity function is not in the closure of , and is not dense.
Polynomials vanishing at zero separate points of but are not dense in
Statement refuted
Refuted: point separation alone makes a real function algebra dense in .
Facts & Assumptions
Given: , restricted to .
Point separation and the unital condition are distinct requirements in A unital point-separating real subalgebra of .
Proof
The set is an algebra, and the function in separates every distinct pair of points of .
Every vanishes at , so contains no constant-one function and is not unital.
For every , . Thus is not in the uniform closure of .
Therefore separates points but is not dense.
Sources
Standard references
Recommended treatments; not extraction sources.