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.
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- 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.
Stone–Weierstrass in General: Examples and Counterexamples
1 · Prerequisites
- Absolute and Conditional Convergence; Rearrangement; Products
- Approximation and Compactness in C(K)
- Binary Operations, Monoids, Groups and Subgroups
- Compactness
- 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
- Cosets, Index and Lagrange's Theorem
- Countability and Uncountability
- Divisibility, Euclidean Domains, Principal Ideal Domains and Unique Factorisation
- Divisibility, Greatest Common Divisors and Bézout's Identity
- Filters and Ultrafilters
- Finite Counting, Factorials and Binomial Coefficients
- Foundations of the Real Numbers for Analysis
- Function Space Topologies and the Exponential Law
- Fundamental Trigonometric Identities
- Hereditary and Productive Behaviour of the Separation Axioms
- Ideals, Quotient Rings and the Isomorphism Theorems for Rings
- Limits of Real Functions
- limsup, liminf, and Subsequential Limits
- Linear Independence, Bases and Dimension
- Linear Transformations, Rank-Nullity and Quotient Spaces
- Metric Spaces
- Monotone Functions, Discontinuities, and Continuity Sets
- Monotone Sequences, Bolzano-Weierstrass, and Cauchy Completeness
- Normal Subgroups and Quotient Groups
- Order, Zorn's Lemma, and the Axiom of Choice
- Partitions of Unity and Paracompactness
- Polynomial Rings, the Division Algorithm and Roots
- Power Series and Real-Analytic Functions
- Properties of the Integral and the Working FTC
- Relations, Functions, and Quotients
- Rings, Subrings, Integral Domains and Fields
- Rⁿ as a Normed Space; Vector-Valued Functions
- Roots, Rational Powers, and Classical Inequalities
- Separation Axioms: the Hierarchy
- Sequences and Limits
- Sequences and Series of Functions; Uniform Convergence
- Series: Convergence and the Nonnegative Tests
- Simple Field Extensions and the Construction of the Complex Numbers
- Sine, Cosine, and the Definition of Pi
- Stone–Weierstrass in General
- Subspaces, Products, and Quotients
- Suprema and Infima
- The Cantor Set, Baire Category, and Measure Zero in ℝ
- The Complex Exponential and Euler's Formula
- The Derivative and the Mean Value Theorems
- The Exponential Function
- The Riemann Integral: Definition and Integrability
- The ZFC Axioms and the Basic Set Constructions
- Topological Spaces and Continuity
- Topology of ℝ
- Vector Spaces, Linear Subspaces, Span and Direct Sums
2 · Summary
3 · Logical flowchart
4 · Definitions, theorems and proofs
None yet.
5 · Examples, counterexamples and false statements
The disc algebra is unital and separating but not self-adjoint or dense
Statement refuted
The false claim is that a unital point-separating complex function algebra on a compact Hausdorff space must be self-adjoint and uniformly dense without any conjugation hypothesis.
On the closed unit disc let be the algebra of restrictions of complex polynomials in the coordinate , and let be its uniform closure: the set of functions such that for every there is with for every . Then is a uniformly closed unital point-separating complex function algebra, but . Consequently is neither self-adjoint nor dense in .
Facts & Assumptions
Given: The closed unit disc , the coordinate-polynomial algebra , and its uniform closure .
A complex function algebra is self-adjoint when it contains the pointwise conjugate of each of its members; it is unital and point-separating under the literal constant-function and distinct-pair conditions (Self-adjoint complex function algebras, unitality, and point separation).
The complex numbers form a field containing ( is a field, every element is uniquely , and every nonzero element has inverse ).
Under , is exactly the Euclidean metric, and continuity on subsets of uses this metric (The Euclidean metric, convergence, Cauchy sequences, and continuity on the complex plane).
Natural powers satisfy and ; negative integer powers of nonzero are powers of its inverse (Integer powers in the complex field).
For , the th roots of unity are the distinct numbers for natural with (The -th roots of a complex number and the distinct roots of unity for every ).
For with , the sum of all th roots of unity is (For , the sum of all -th roots of unity is zero).
The complex exponential satisfies , and exactly when (, and exactly when ).
If a property holds at and passes from every natural to its successor, then it holds for every natural number (The principle of mathematical induction).
For , a subset of Euclidean is compact if and only if it is closed and bounded (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, clause 2).
A compact subset of a metric space is compact as a topological subspace of its metric topology, and conversely (For a metric space with its metric topology, compactness in the topological sense is compactness in the metric sense, and the two notions of compact subset coincide, clause 2).
Every metric space is Hausdorff: distinct points are separated by disjoint open balls (Distinct points of a metric space have disjoint balls around them).
If a map from a topological space to a metric space has, for every , a continuous map staying within of it at every point, then it is continuous (A uniform limit of continuous functions is continuous, so is closed in under the uniform metric, clause 1).
Counterexample
The reverse triangle inequality derived from [L3] makes continuous, so is closed; it is bounded because . Thus [L5], [L12], and [L13] make compact, and [L14] makes its metric topology Hausdorff.
Each in is continuous: the identity of [L6] together with and from [L3] gives for , so with , which is continuity for the metric of [L5]; hence [L15] puts every member of in . The set contains the constants and the coordinate function , which separates points, and is closed under complex linear combinations and products by [L1] and [L4], so is a unital point-separating complex function algebra and inherits unitality and point separation. is a complex vector subspace because approximants add and scale. For products, and [L3] give on for every , so given and one may first fix with everywhere, whence on , and then choose with everywhere and with everywhere; from and [L3], pointwise, and , so . Finally is uniformly closed, because a function within of a member of everywhere is within of a member of everywhere.
Suppose for contradiction that . Then there is a nonzero polynomial with ; put and .
Repeated use of the addition law [L9], along the induction of [L11] on with base , gives for every natural ; so the list of [L7] is exactly , and these are the th roots of unity. For an integer with one has , and [L10] makes this equal to only when , that is only when divides , which fails in that range; hence . The same law gives .
For every natural and every , . Apply [L11] to the property that this identity holds for . At the identity reads , which is immediate. Assuming it at , adding the term to the sum changes the left side by , carrying the right side from to , which is the identity at .
The exponent-one cancellation is [L8]. For , step 1.5 with and step 1.4 give with , so .
Every sampled point lies on the unit circle, so [L3] gives and hence .
Expanding and using step 2.1 for the exponents gives .
Subtracting step 3.1 from step 2.2 and repeatedly applying the triangle inequality in [L3], justified over the finite sum by [L11], yields , contradicting step 1.3.
Therefore . Since the coordinate function belongs to , the algebra is not self-adjoint by [L1]. The conjugation map is continuous, because by [L2] and by [L3], so ; and is uniformly closed by step 1.2, so a function uniformly approximable by members of lies in . Hence is a member of that cannot approximate uniformly, and is not dense.
Trigonometric polynomials are uniformly dense on the unit circle
Example
Let be the unit circle. A complex trigonometric polynomial on is a finite Laurent sum where and . The complex trigonometric polynomials are uniformly dense in .
Facts & Assumptions
Given: The unit circle with the subspace topology from the usual complex metric, and the algebra of complex trigonometric polynomials on it.
Every unital point-separating self-adjoint complex function algebra on a compact Hausdorff space is uniformly dense in the full complex continuous-function space (Complex Stone–Weierstrass dichotomy for separating self-adjoint algebras; the unital case is dense).
A complex function algebra is self-adjoint when it contains each pointwise conjugate, unital when it contains all constants, and point-separating when it distinguishes every distinct pair (Self-adjoint complex function algebras, unitality, and point separation).
Under , is the Euclidean metric (The Euclidean metric, convergence, Cauchy sequences, and continuity on the complex plane).
Complex conjugation is a real-field automorphism with , and ; and for every , , and (Conjugation is an involutive real-field automorphism, , and modulus is definite, multiplicative, and subadditive).
The complex numbers form a field containing ( is a field, every element is uniquely , and every nonzero element has inverse ).
Natural powers satisfy and , while negative integer powers of nonzero are powers of its inverse (Integer powers in the complex field).
For , a subset of Euclidean is compact if and only if it is closed and bounded (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, clause 2).
A compact subset of a metric space is compact as a topological subspace of its metric topology, and conversely (For a metric space with its metric topology, compactness in the topological sense is compactness in the metric sense, and the two notions of compact subset coincide, clause 2).
Every metric space is Hausdorff: distinct points are separated by disjoint open balls (Distinct points of a metric space have disjoint balls around them).
Verification
The reverse triangle inequality from [L5] makes continuous, so is closed; it is bounded. Thus [L3], [L8], and [L9] make compact, and [L10] makes it Hausdorff.
For , [L5] gives , so uniqueness of the inverse in the field [L6] gives ; consequently [L7] gives for every natural .
Finite Laurent sums are closed under complex linear combinations and products, contain every constant and the coordinate function , and therefore separate points; conjugating such a sum conjugates its coefficients and reverses its exponents by step 1.2, so is self-adjoint. Every member of is also continuous, so is a subalgebra of : step 1.2 rewrites a Laurent sum as on ; conjugation satisfies , because and by [L5]; and the identity of [L7] with and from [L5] gives whenever , so each Laurent sum is Lipschitz for the metric of [L3].
The algebra is a unital, point-separating, self-adjoint complex function algebra on the compact Hausdorff circle from step 1.1, so [L1] makes it uniformly dense in .
The lattice generated by the constants and the distance functions is dense on every compact metric space
Example
Let be a compact metric space. Let be the smallest real vector sublattice of containing every constant function and every distance function Then is uniformly dense in : for every and every there is with for every . When is nonempty this is density for the topology of uniform convergence.
Facts & Assumptions
Given: A compact metric space and the real vector sublattice generated by constants and the distance functions .
On a compact Hausdorff space, a unital point-separating real vector sublattice contains, for every and every , a member within of at every point; for nonempty this is density for the topology of uniform convergence (Lattice Stone–Weierstrass theorem on a compact Hausdorff space).
A unital real vector sublattice contains all constants and separates points when every distinct pair is distinguished by one member (Unital point-separating real vector sublattices of ).
A metric satisfies exactly when , symmetry, and (Metric space: iff , symmetry, and the triangle inequality; pseudometric and ultrametric).
A metric space is compact if and only if it is compact as a topological space in its metric topology (For a metric space with its metric topology, compactness in the topological sense is compactness in the metric sense, and the two notions of compact subset coincide, clause 1).
Every metric space is Hausdorff: distinct points are separated by disjoint open balls (Distinct points of a metric space have disjoint balls around them).
Verification
By [L4] and [L5], the metric topology makes a compact Hausdorff space.
For , the triangle inequality and symmetry in [L3] give and ; hence , so every is continuous.
The generated lattice is unital by construction. If , then while by [L3], so separates and ; thus is point-separating in the sense of [L2].
Apply [L1] to the unital point-separating real vector sublattice on the compact Hausdorff space of step 1.1.
On a finite compact Hausdorff space a unital separating algebra contains every scalar-valued function
Example
Let be a finite compact Hausdorff space and let be either or . If is a unital point-separating -function algebra, then Thus on a finite Hausdorff space uniform approximation strengthens to exact interpolation. In the complex case no self-adjointness hypothesis is needed.
Facts & Assumptions
Given: A finite compact Hausdorff space , a scalar field , and a unital point-separating -function algebra .
A real function algebra is a real vector subspace closed under pointwise multiplication; unitality supplies all constants and point separation supplies a member distinguishing each distinct pair (Unital, point-separating, and nowhere-vanishing real function algebras on a compact Hausdorff space).
A complex function algebra is a complex vector subspace closed under pointwise multiplication, with the same literal unitality and point-separation clauses; self-adjointness is a separate condition (Self-adjoint complex function algebras, unitality, and point separation).
Every natural-number-indexed list of nonempty sets has a choice function on its family of values, and this finite choice uses no form of the Axiom of Choice (Every natural-number-indexed list of nonempty sets has a choice function on its family of values).
In this library, a finite family is empty or has an explicit finite listing; in particular, a finite space is listable (Open cover, subcover, and compact topological space; a compact subset is a subspace that is compact in its own right, finiteness convention).
In a Hausdorff space, any two distinct points have disjoint open neighbourhoods (Hausdorff space: distinct points have disjoint open neighbourhoods; every metrizable space is Hausdorff and the indiscrete topology on two points is not).
Verification
If , then has only the empty function, which is the zero element of . If , every function is constant, so unitality gives .
Assume has at least two points and use [L4] to list its points. For a fixed , [L5] supplies, for each listed , a nonempty set of open neighbourhoods of missing ; [L3] chooses one from each member of this finite list. Their intersection is the open singleton . Hence every singleton is open and every function is continuous.
For every ordered pair , point separation in [L1] or [L2] gives with ; by [L3] and the finite listing in [L4], choose these over the finite list of ordered pairs and define . Then and .
For each , the finite product belongs to , equals at , and equals at every other point because the factor indexed by that point vanishes.
For any function , the finite sum belongs to and agrees with at every point. By step 1.2 every such is continuous, so .
Endpoint-duplicating functions on become all continuous functions on the endpoint quotient
Example
Let Then is a uniformly closed unital real function algebra. Its indistinguishability relation identifies exactly the two endpoints and , and the descent map identifies isometrically with all continuous real-valued functions on the endpoint quotient .
Facts & Assumptions
Given: The closed interval , the endpoint-equality algebra , and its indistinguishability quotient.
For a uniformly closed unital real function algebra on a compact Hausdorff space, descent is a unital algebra isomorphism onto the full continuous real function algebra of its indistinguishability quotient, and it is isometric when the space is nonempty (A closed unital real function algebra is on its indistinguishability quotient).
The indistinguishability relation is exactly when for every (The quotient that identifies points indistinguishable by a real function algebra).
For , every family of open subsets of whose union contains has a finite subfamily whose union already contains (Heine-Borel by bisection: every closed bounded interval is compact).
A subset of a topological space is a compact subset — that is, the subspace is a compact space — if and only if every family of open subsets of whose union contains has a finite subfamily whose union contains , or else (A subspace is compact exactly when every family of open subsets of the ambient space covering it, indexed or not, has finitely many members covering it, clause 1).
The function is a metric on , and its metric topology is the usual topology (The absolute value makes a metric space: is a metric, its open balls are the intervals , and it is unbounded).
Every metric space is Hausdorff: distinct points are separated by disjoint open balls (Distinct points of a metric space have disjoint balls around them).
Hausdorffness is hereditary: every subspace of a Hausdorff space is Hausdorff (, , and Hausdorffness are hereditary, Hereditary, open-hereditary and closed-hereditary properties of topological spaces).
The inclusion of a subspace into its ambient space is continuous (Subspace topology: the traces of the open sets, its closed sets and its bases, the continuity of the inclusion, and the characteristic property of a map into a subspace).
For continuous on a topological space, , , , and are continuous (Sums, products, absolute values, finite maxima and minima, and quotients of continuous real-valued maps on a topological space are continuous where defined).
A map is continuous when the preimage of every open set containing an image point contains an open set around that point (Continuity of a map of topological spaces at a point and globally).
Verification
By [L3] and the equivalence in [L4], the subspace of is a compact topological space. By [L5] and [L6] the line is Hausdorff, so [L7] makes the subspace Hausdorff.
Endpoint equality is preserved by pointwise sums, real scalar multiples, and products, and every constant has equal endpoint values, so is a unital real function algebra.
If is uniformly approximable by members of , then for every some satisfies and ; since , this forces . Hence is uniformly closed.
For let be the inclusion and put . A constant map is continuous because the preimage of every open set is or all of , which is the condition in [L10]; is continuous by [L8]; so [L9] makes the two affine maps and their pointwise minimum continuous. For one has , and for the two inequalities reverse, so on and on . Hence , so ; also , and for , so vanishes only at the two endpoints.
Every member of identifies and . Conversely, if and , at least one of the two points is interior; choosing that point as in step 1.4 gives a tent function taking value there and a value strictly below at the other point. Thus [L2] says that the only nonsingleton equivalence class is .
Steps 1.1, 1.2, and 1.3 meet the hypotheses of [L1], and step 2.1 identifies its quotient; since is nonempty, [L1] gives the isometric conclusion, so descent is an isometric unital algebra isomorphism .
The polynomial algebra is dense but not closed on a nondegenerate compact interval
Example
Let be real numbers, and let be the real algebra of restrictions to of real polynomials. Then is uniformly dense in but is not uniformly closed.
Facts & Assumptions
Given: Reals and the algebra of restricted real polynomials.
Every unital point-separating real function algebra on a compact Hausdorff space is uniformly dense in the full real continuous-function space (Real Stone–Weierstrass theorem for compact Hausdorff spaces).
For , every continuous real function on is a uniform limit of polynomials (Polynomials are uniformly dense in for every closed interval).
A nonzero real polynomial of degree has at most distinct real roots (A nonzero real polynomial of degree has no more than distinct real roots).
For , every family of open subsets of whose union contains has a finite subfamily whose union already contains (Heine-Borel by bisection: every closed bounded interval is compact).
The function is a metric on , and its metric topology is the usual topology (The absolute value makes a metric space: is a metric, its open balls are the intervals , and it is unbounded).
Every metric space is Hausdorff: distinct points are separated by disjoint open balls (Distinct points of a metric space have disjoint balls around them).
A subset of a topological space is a compact subset — that is, the subspace is a compact space — if and only if every family of open subsets of whose union contains has a finite subfamily whose union contains , or else (A subspace is compact exactly when every family of open subsets of the ambient space covering it, indexed or not, has finitely many members covering it, clause 1).
Hausdorffness is hereditary: every subspace of a Hausdorff space is Hausdorff (, , and Hausdorffness are hereditary, Hereditary, open-hereditary and closed-hereditary properties of topological spaces).
The inclusion of a subspace into its ambient space is continuous (Subspace topology: the traces of the open sets, its closed sets and its bases, the continuity of the inclusion, and the characteristic property of a map into a subspace).
For continuous on a topological space, , and are continuous (Sums, products, absolute values, finite maxima and minima, and quotients of continuous real-valued maps on a topological space are continuous where defined).
A map is continuous when the preimage of every open set containing an image point contains an open set around that point (Continuity of a map of topological spaces at a point and globally).
Verification
By [L4] and the equivalence in [L7], the subspace of is a compact topological space; by [L5] and [L6] the line is Hausdorff, so [L8] makes the subspace Hausdorff.
Put , so , let be the inclusion, and put , so that . A constant map is continuous because the preimage of every open set is or all of , which is the condition in [L11]; is continuous by [L9]; so [L10] makes and then continuous.
The restricted polynomials form a unital real function algebra, and the coordinate polynomial separates distinct points; hence [L1] makes uniformly dense in . In particular, [L2] also places the continuous function from step 1.2 in its uniform closure.
Suppose a real polynomial agreed with on . Then vanishes at every ; if were nonzero, that nondegenerate interval would contain more distinct roots than the finite bound in [L3], so is the zero polynomial and identically.
Evaluating the identity from step 2.2 at gives , whereas , a contradiction. Therefore .
Step 2.1 puts in the uniform closure and step 3.1 keeps it outside , so is not closed; together with the density in step 2.1 this proves the example.
A continuous real function on whose every moment vanishes is identically zero
Statement
Let be continuous (Continuity of at a point of and on : the - condition, its agreement with at a limit point, and continuity at an isolated point) and suppose that
Then for every .
The hypothesis includes , which reads . Continuity is doing real work here rather than tidying: the last step of the proof is A continuous on with is identically , and its companion FALSE: a nonnegative Riemann integrable function on with is identically zero shows that a merely integrable nonnegative function with integral need not be identically zero.
Facts & Assumptions
Given: A continuous with for every .
For every and , there is a polynomial with (Polynomials are uniformly dense in ).
Sums, scalar multiples and products of functions continuous at a point are continuous at that point; and, with no hypothesis at all, every constant function, the identity, every for , and every polynomial function with real coefficients are continuous (Sums, scalar multiples, products, absolute values, maxima, minima and quotients with nonvanishing denominator of continuous functions are continuous, as are constants, the identity and every polynomial function).
For reals , a continuous is bounded and Riemann integrable on (A continuous function on is Riemann integrable, by Heine-Cantor and Riemann's criterion).
For reals , integrable and reals , the function is integrable on and (Integrable functions on form a set closed under sums and scalar multiples, and ).
For reals and integrable : if for every then ; and if for every with real, then (If on and both are integrable then ; and ).
For reals and integrable , the functions and are integrable on (If are integrable on then so are , , , and , and ).
For reals , if is continuous with for every and , then for every (A continuous on with is identically ).
Proof
For each the function is continuous on , so is continuous on as a product of continuous functions, and is therefore integrable; so each integral in the hypothesis is defined.
is bounded and integrable on , so there is a real with for every ; if the bound supplied is , replace it by .
is continuous on as a product of continuous functions, hence integrable, and for every , so .
Let be any real polynomial. Each is integrable by step 1.1, and applying the linearity identity times to the finite sum gives , every summand of which is by hypothesis, so .
Let . Choose a polynomial with , which is legitimate since by step 1.2.
The polynomial chosen in step 2.2 is continuous on by [L2] and hence integrable by [L3]; so is integrable by [L4], and both and are integrable by [L6]. Since pointwise on , [L4] gives , and the second term is by step 2.1, giving .
For every , by steps 1.2 and 2.2, so on ; since , the two-sided bound gives .
Combining, .
Step 4.1 holds for every , and the value does not depend on ; were it positive, taking to be half of it would contradict step 4.1, so .
is continuous on , nonnegative there, and has integral by step 5.1, so for every , and hence for every .
Every continuous function on is uniformly approximated by everywhere-differentiable functions whose derivative vanishes at a prescribed point
Statement
Let , let and let . Then there is a function , differentiable at every real point (The derivative of at a point that is a limit point of , and differentiability on a set), with
Since a function differentiable at every real point is continuous there, the restrictions to of the everywhere-differentiable functions with vanishing derivative at are uniformly dense in .
The source states this for and for differentiability on ; the statement above is the altered form obtained by letting the point be arbitrary and by producing an approximant differentiable on all of , which is what the construction below actually delivers. Nothing in the proof uses ; the restriction to is kept only so that is an interior point of the interval on which the approximation is measured.
Facts & Assumptions
Given: A point , a function and a real .
For every and , there is a polynomial with (Polynomials are uniformly dense in ).
Let be real and let be the polynomial function . Then is differentiable at every , and , the term of index being (For a natural the function is differentiable everywhere with derivative ; for it is the constant , with derivative ; for a natural the function is differentiable at every with derivative ; consequently every polynomial function is differentiable at every real, with the derivative computed term by term).
Let , let be a limit point of , let be differentiable at and let . Then is differentiable at with , and is differentiable at with (Sums, scalar multiples, products and quotients: , , , and when ).
Let , let with and let . Let be a limit point of at which is differentiable, put , and suppose is a limit point of at which is differentiable. Then is differentiable at and (The chain rule, in one line from Carathéodory: if is differentiable at and is differentiable at , then is differentiable at with ).
The functions and are differentiable on , with and ; also and (The derivatives of sine and cosine are cosine and minus sine).
For every real , ; consequently and (Parity and the Pythagorean identity for sine and cosine).
A function differentiable at a point is continuous at that point (A function differentiable at is continuous at ).
For every in a complete ordered field there is a natural number with (For every in a complete ordered field there is a natural with ).
Proof
By [L1] choose a polynomial with .
is differentiable at every real point; put . Every real point is a limit point of , so the derivatives below are all defined symbols.
Case . Put . Then is differentiable at every real point with , and , which is the assertion.
Case . Then , so , and by [L8] there is a natural number with .
Define by and by .
is the polynomial function with and , so [L2] makes it differentiable at every real point with ; substituting gives .
For every , , using and step 3.2.
Since is differentiable at every real point and every real point is a limit point of , the chain rule applies to at every real and gives .
For every , , so is an upper bound for on and therefore .
By [L3], is differentiable at every real point, with .
At we have and , so .
In both cases a function differentiable at every real point has been produced with and , which is the first assertion.
Such a is continuous at every real point, so its restriction to lies in ; since and were arbitrary, these restrictions are uniformly dense in , which is the second assertion.
Sources
Standard references
Recommended treatments; not extraction sources.
- E. Carlen, Notes on Topology and the Stone-Weierstrass Theorem, unnumbered counterexample in Section 1.6
- E. Carlen, Notes on Topology and the Stone-Weierstrass Theorem, Theorem 1.30
- E. Carlen, Notes on Topology and the Stone-Weierstrass Theorem, Lemma 1.27
- J. M. Erdman, A Companion to Real Analysis, Theorem 21.2.15
- J. M. Erdman, A Companion to Real Analysis, Example 21.2.1 and Corollary 21.2.7
- J. M. Erdman, A Companion to Real Analysis, Proposition 21.2.9
- J. M. Erdman, A Companion to Real Analysis, Proposition 21.2.10