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.
Completeness, Completion, and Uniform Continuity: Examples and Counterexamples
1 · Prerequisites
- 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
- Countability and Uncountability
- Foundations of the Real Numbers for Analysis
- Metric Spaces
- Monotone Sequences, Bolzano-Weierstrass, and Cauchy Completeness
- Relations, Functions, and Quotients
- Roots, Rational Powers, and Classical Inequalities
- Sequences and Limits
- Suprema and Infima
- The ZFC Axioms and the Basic Set Constructions
2 · Summary
3 · Logical flowchart
4 · Definitions, theorems and proofs
None yet.
5 · Examples, counterexamples and false statements
The completion of under the usual metric is
Example
Regard (The rationals as equivalence classes of pairs of integers) as the subset of that is the image of the canonical embedding (The rationals embed densely in the reals), carrying the subspace metric inherited from the usual metric of (The absolute value makes a metric space: is a metric, its open balls are the intervals , and it is unbounded, Isometry, isometric embedding, and the subspace metric on a subset). Let be that embedding.
Then is a completion of (A completion of a metric space: a complete metric space together with an isometric embedding onto a dense subspace). Consequently, by uniqueness of completions (A completion is unique up to a unique isometry fixing the original space, and uniformly continuous maps into complete spaces extend through it), for every completion of there is exactly one continuous with , and it is an isometry. In this sense is the completion of .
Facts & Assumptions
Given: with the metric inherited from through ; a real ; a real .
is an injective, order-preserving embedding of ordered fields, and strictly between any two reals lies a rational (The rationals embed densely in the reals).
The absolute value makes a metric space, and the open ball is the interval (The absolute value makes a metric space: is a metric, its open balls are the intervals , and it is unbounded, Open ball, closed ball and sphere in a metric space, Intervals of : the nine order-convex forms, nondegeneracy, and length).
The restriction of a metric to a subset is a metric, and the inclusion of a subset is an isometric embedding (Isometry, isometric embedding, and the subspace metric on a subset, Metric space: iff , symmetry, and the triangle inequality; pseudometric and ultrametric).
Density: is dense in when every ball around every point of meets (Interior, closure, boundary, limit point, isolated point and dense subset of a metric space).
A completion is a complete space together with an isometric embedding with dense image, and two completions are related by a unique compatible isometry (A completion of a metric space: a complete metric space together with an isometric embedding onto a dense subspace, A completion is unique up to a unique isometry fixing the original space, and uniformly continuous maps into complete spaces extend through it).
Verification
is a metric on and is an isometric embedding into : by construction , and is injective.
is complete.
is dense in : for a real and a real the ball is the interval , which is nonempty and has , so it contains a rational; hence every ball around every real meets .
So the complete space , together with the isometric embedding whose image is dense, is a completion of .
By uniqueness of completions, any other completion of receives exactly one continuous with , and that is an isometry.
Remarks
- This is the metric statement of what the construction pages did by hand. This library builds out of Cauchy sequences of rationals on its own page, and the general construction of Every metric space has a completion, constructed as the equivalence classes of its Cauchy sequences follows the same plan for an arbitrary metric space: classes of Cauchy sequences, with the distance read off as a limit. The present item is the observation that, run on , that plan reaches a space isometric to the already in hand, and that no separate verification of "which complete space it is" is needed once uniqueness is available.
- Density is the whole of the third condition, and it is exactly the Archimedean fact. That every interval of positive length contains a rational is The rationals embed densely in the reals; without it would sit inside as a complete-looking but small subspace, and would not be a completion of it but merely a complete space containing it.
- The metric is the one written above and no other. Completions are taken with respect to a named metric (A completion of a metric space: a complete metric space together with an isometric embedding onto a dense subspace), and a different metric on would in general have a different completion; nothing here is a statement about as a bare field or as a bare topological space.
The map is a contraction of with fixed point , and the a priori bound gives the error after steps
Example
Let (Intervals of : the nine order-convex forms, nondegeneracy, and length) with the metric inherited from (The absolute value makes a metric space: is a metric, its open balls are the intervals , and it is unbounded, Isometry, isometric embedding, and the subspace metric on a subset), and define
Then:
- is a nonempty complete metric space (Complete metric space: every Cauchy sequence converges in the space).
- maps into .
- is a contraction with constant (Lipschitz map, -Hölder map for rational , and contraction).
- has exactly one fixed point in , namely (Square roots exist: a unique with ; the positives are ), and the iterates converge to it from every starting point (A contraction of a nonempty complete metric space into itself has exactly one fixed point, the limit of the iterates from any starting point).
- Starting from one has and , so the a priori bound of The a priori bound and the a posteriori bound reads and the a posteriori bound reads .
Facts & Assumptions
Given: The interval with the metric inherited from , and for ; reals .
The absolute value makes a metric space, a restriction of a metric is a metric, and (The absolute value makes a metric space: is a metric, its open balls are the intervals , and it is unbounded, Isometry, isometric embedding, and the subspace metric on a subset, Metric space: iff , symmetry, and the triangle inequality; pseudometric and ultrametric, Basic properties of the absolute value).
is complete; a closed subset of a complete metric space is complete; a subset is closed exactly when it is sequentially closed; and limits preserve non-strict inequalities ( and for with the Euclidean metric are complete, componentwise from the Cauchy criterion in , A subspace of a complete metric space is complete iff it is closed, and a complete subspace of any metric space is closed, A point lies in the closure of iff some sequence in converges to it, and a set is closed iff it is sequentially closed, Limits preserve non-strict inequalities, 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, Convergence of a sequence in a metric space: iff in ).
Every has a unique with , and for , since both sides are nonnegative with the same square (Square roots exist: a unique with ; the positives are , Integer powers ).
For : if and only if (Squaring is monotone on the nonnegatives); and squares are nonnegative (Squares of nonzero elements are positive).
Positivity of inverses, reversal of order under reciprocation, and multiplication of inequalities by positives (Inverses of positives are positive, and reciprocation reverses order, Sign rules for products and monotonicity of multiplication).
Banach's fixed point theorem and its error estimates (A contraction of a nonempty complete metric space into itself has exactly one fixed point, the limit of the iterates from any starting point, The a priori bound and the a posteriori bound , Lipschitz map, -Hölder map for rational , and contraction).
Verification
is nonempty, since ; and is sequentially closed in , since a sequence in converging to a real has for every and hence . So is closed in , and is complete, so is a nonempty complete metric space: claim 1.
lies in : and , so .
For one has , so is defined, and expands to ; hence .
For : .
Also gives and , so ; with step 1.3 this puts , which is claim 2.
Since we have , hence and therefore , so .
Consequently , so is a contraction with constant : claim 3.
By claims 1 to 3 and Banach's theorem, has exactly one fixed point in and the iterates converge to it from every starting point.
For : is equivalent to , hence to , hence to ; since this holds exactly for , which lies in by step 1.2. So the fixed point is : claim 4.
Taking gives and ; the a priori bound with therefore reads , and the a posteriori bound reads : claim 5.
Remarks
- No derivative is used anywhere. The contraction constant comes from the algebraic identity of step 1.4, , and from the bound that the interval supplies. This matters here: the mean value theorem, which is how this estimate is usually obtained, belongs to a later page of this library and is not available at this point.
- The lower endpoint is what makes the estimate close. The bound of step 2.2 needs , and that is exactly what supplies; on a set of small positive reals the factor is large and the same computation gives nothing. The self-mapping property uses both endpoints: step 1.3 gives the lower bound and step 2.1 the upper bound .
- What the bounds say numerically. From the a priori bound guarantees , so ten steps give an error at most . This is a guarantee, not the truth: the iteration is Newton's method for , and it converges far faster than the bound admits. The a posteriori bound of claim 5, which costs one subtraction, is what a computation would actually report.
- The restriction to is convenience, not necessity. On one still has , hence and , so the same computation makes a contraction with the same constant there, and step 1.3 already shows maps into itself. The shorter interval is used only to keep the arithmetic of step 2.2 explicit.
A Lipschitz function on extends uniquely to a Lipschitz function on with the same constant
Example
Regard as a subspace of with the metric inherited from the usual metric (The rationals embed densely in the reals, The absolute value makes a metric space: is a metric, its open balls are the intervals , and it is unbounded, Isometry, isometric embedding, and the subspace metric on a subset), let with , and let be Lipschitz with constant (Lipschitz map, -Hölder map for rational , and contraction), that is
Then there is exactly one continuous with for every , and that is again Lipschitz with the same constant .
Facts & Assumptions
Given: as a metric subspace of ; a real ; a Lipschitz with constant ; reals .
Lipschitz hypothesis: for all (Lipschitz map, -Hölder map for rational , and contraction).
A Lipschitz map is uniformly continuous (Contraction implies Lipschitz implies uniformly continuous implies continuous; every Hölder map is uniformly continuous, and a Lipschitz map on a bounded space is Hölder for every exponent, Uniform continuity of a map of metric spaces: one serving every point).
is dense in : every ball of contains a rational (The rationals embed densely in the reals, Interior, closure, boundary, limit point, isolated point and dense subset of a metric space, Open ball, closed ball and sphere in a metric space).
with the usual metric is complete ( and for with the Euclidean metric are complete, componentwise from the Cauchy criterion in , Complete metric space: every Cauchy sequence converges in the space, The absolute value makes a metric space: is a metric, its open balls are the intervals , and it is unbounded, Metric space: iff , symmetry, and the triangle inequality; pseudometric and ultrametric).
Extension from a dense subspace into a complete space: a uniformly continuous map extends to a uniformly continuous map, and that extension is the only continuous one (A uniformly continuous map from a dense subspace into a complete metric space extends uniquely to a uniformly continuous map on the whole space).
A point of the closure is the limit of a sequence from the set; this direction spends (A point lies in the closure of iff some sequence in converges to it, and a set is closed iff it is sequentially closed, The Axiom of Countable Choice (), Convergence of a sequence in a metric space: iff in ).
A continuous map is sequentially continuous (For a map of metric spaces the following agree: - continuity everywhere, preimages of open sets are open, preimages of closed sets are closed, sequential continuity, and , Continuity of a map between metric spaces, at a point and globally, in the - form).
Algebra of limits, and limits preserve non-strict inequalities holding eventually (Algebra of limits: sums, scalar multiples, products and quotients, Limits preserve non-strict inequalities, Limits and Cauchy sequences of reals).
for reals, which is the reverse triangle inequality of the usual metric of with third point (The reverse triangle inequality in any metric space, Basic properties of the absolute value).
Verification
By [A1] and [L1] the map is uniformly continuous on the subspace of .
Let . By density and [L5] there are sequences and of rationals with and .
is dense in and is complete, so [L4] supplies a uniformly continuous with for every rational , and is the only continuous map with that property.
Likewise , so and .
is continuous, being uniformly continuous, so and ; hence and, by [L8], .
For every the terms are rational and agrees with on them, so by [A1].
Passing to the limit in step 3.2, using steps 3.1 and 2.2, gives ; as were arbitrary reals, is Lipschitz with constant .
So exists, is the unique continuous extension of , and is Lipschitz with the same constant .
Remarks
- The extension theorem gives uniform continuity; the constant is recovered separately. A uniformly continuous map from a dense subspace into a complete metric space extends uniquely to a uniformly continuous map on the whole space transports a modulus of continuity, not a Lipschitz constant, so step 4.1 is genuinely needed. The mechanism is generic: a non-strict inequality that holds on a dense set and whose two sides are continuous holds everywhere, by Limits preserve non-strict inequalities.
- Nothing here is special to and . The same argument extends a Lipschitz map from any dense subspace of any metric space into any complete metric space, with the same constant; is used only because it is the density statement this library already has (The rationals embed densely in the reals).
- Uniqueness is what makes "the" extension meaningful, and it needs only continuity, not the Lipschitz condition: two continuous maps agreeing on a dense set agree everywhere (A point lies in the closure of iff some sequence in converges to it, and a set is closed iff it is sequentially closed, For a map of metric spaces the following agree: - continuity everywhere, preimages of open sets are open, preimages of closed sets are closed, sequential continuity, and ).
- The hypothesis cannot be relaxed to continuity. A continuous need not extend continuously to at all, and the reason is the same one that defeats every argument of this kind: continuity does not control a function along a Cauchy sequence (A uniformly continuous map sends Cauchy sequences to Cauchy sequences, is continuous on and sends the Cauchy sequence to an unbounded one).
on is uniformly continuous and exactly -Hölder, and is not Lipschitz
Example
Let (Intervals of : the nine order-convex forms, nondegeneracy, and length) with the metric inherited from (The absolute value makes a metric space: is a metric, its open balls are the intervals , and it is unbounded, Isometry, isometric embedding, and the subspace metric on a subset), and let be (Square roots exist: a unique with ; the positives are , Rational powers of a positive base). Then:
- for all , so is -Hölder with constant (Lipschitz map, -Hölder map for rational , and contraction).
- is uniformly continuous (Uniform continuity of a map of metric spaces: one serving every point).
- The constant cannot be improved: every -Hölder constant for satisfies .
- For every rational with , the map is not -Hölder. In particular, at , is not Lipschitz.
So is exactly the Hölder exponent of the square root, and the example separates "Hölder" from "Lipschitz" inside Contraction implies Lipschitz implies uniformly continuous implies continuous; every Hölder map is uniformly continuous, and a Lipschitz map on a bounded space is Hölder for every exponent.
Facts & Assumptions
Given: with the metric inherited from ; ; reals ; a rational with ; a real .
Every has a unique with , and ; the base is covered, with for rational (Square roots exist: a unique with ; the positives are , Rational powers of a positive base, Order on the rationals).
For : if and only if ; and squares are nonnegative (Squaring is monotone on the nonnegatives, Squares of nonzero elements are positive).
Rational power laws for a positive base: , , , , and (Laws of rational exponents).
Monotonicity in the base: for rational and one has (Monotonicity of and of ).
Archimedean property: for every real there is a natural with ; and gives (Every complete ordered field is Archimedean, For every in a complete ordered field there is a natural with , Inverses of positives are positive, and reciprocation reverses order).
The absolute value and its properties, and the usual metric of (Basic properties of the absolute value, The absolute value makes a metric space: is a metric, its open balls are the intervals , and it is unbounded, Metric space: iff , symmetry, and the triangle inequality; pseudometric and ultrametric, Sign rules for products and monotonicity of multiplication).
Verification
Both sides of the inequality of claim 1 are symmetric in and , so it is enough to prove it when ; then and .
Claim 4: let be rational with , put , a positive rational, and suppose for all with some real . Taking gives for every real .
With put . Then , the added term being a product of nonnegatives.
At this reads , so ; and dividing the inequality of step 1.2 by gives , hence for every real .
Since , and , we get , hence . This is claim 1, with Hölder constant and exponent .
Apply this at for a natural : , so and therefore for every .
By [L7] a -Hölder map is uniformly continuous, so is uniformly continuous: claim 2.
Claim 3: suppose for all . Taking and gives , so .
But , so is a positive real and [L5] supplies a natural with ; raising to the positive rational power gives , contradicting step 3.2. So no such exists and is not -Hölder: claim 4, and at it says is not Lipschitz.
Remarks
- Where the failure is located. The obstruction in claims 3 and 4 sits at : the inequality is comfortable for large and impossible for small once , because then dominates . Away from the square root is perfectly Lipschitz: on with one has , since and .
- The exponent is rational, and that is not a restriction here. At this page's position in the reading order, Rational powers of a positive base is the available exponent construction. Both and every exponent used above are rational, so claim 4 is intentionally local to rational ; real powers are introduced later in Real powers for positive bases, with the zero-base positive-exponent convention ↗.
- What this example is for. It is one of the two witnesses named in Contraction implies Lipschitz implies uniformly continuous implies continuous; every Hölder map is uniformly continuous, and a Lipschitz map on a bounded space is Hölder for every exponent: it shows that "Hölder" is strictly weaker than "Lipschitz", so the implication proved there from Hölder to uniform continuity is not a detour through the Lipschitz condition. The other witness, separating continuity from uniform continuity, is is continuous on and sends the Cauchy sequence to an unbounded one.
- Claim 1 is sharp in a second sense as well: equality holds whenever one of the two arguments is , since . So the estimate is attained and not merely approached.
The bounded real-valued functions on a set, with the supremum metric, form a complete metric space
Example
Let be a nonempty set, let , and let be the supremum metric, which is a metric on (The supremum metric is a metric on the bounded real-valued functions on a nonempty set, Lower bound, bounded below, bounded set).
Then is a complete metric space (Complete metric space: every Cauchy sequence converges in the space).
The limit is produced pointwise and then shown to be bounded and to be approached uniformly; that order is the content of the proof.
Facts & Assumptions
Given: A nonempty set ; the space with the supremum metric ; a Cauchy sequence in ; a point ; a real .
Cauchyness of : for every real there is with for all (Cauchy sequence in a metric space, The rationals embed densely in the reals).
is a metric on , and is the least upper bound of , so it dominates each of those numbers and is dominated by every upper bound of them (The supremum metric is a metric on the bounded real-valued functions on a nonempty set, Complete ordered field (least-upper-bound property), Metric space: iff , symmetry, and the triangle inequality; pseudometric and ultrametric).
A function is bounded when its range is a bounded subset of , that is when there is a real with for every ; the passage from a pair of bounds to a single is the maximum of two absolute values (Lower bound, bounded below, bounded set, Every nonempty finite set of reals has a maximum and a minimum, Maximum and minimum of a set, Basic properties of the absolute value).
Every Cauchy sequence of reals converges, and the limit of a real sequence is unique, which licenses for a sequence already known to converge (The Cauchy criterion from the least-upper-bound property: in a complete ordered field every Cauchy sequence converges, A sequence has at most one limit, Limits and Cauchy sequences of reals).
Limits of reals preserve non-strict inequalities holding eventually, and behave additively (Limits preserve non-strict inequalities, Algebra of limits: sums, scalar multiples, products and quotients).
for reals, the reverse triangle inequality of the usual metric of with third point ; hence gives (The reverse triangle inequality in any metric space, Basic properties of the absolute value, The absolute value makes a metric space: is a metric, its open balls are the intervals , and it is unbounded).
Convergence in a metric space may be tested with real (Convergence of a sequence in a metric space: iff in , The rationals embed densely in the reals).
Verification
For every and all the number belongs to the set whose supremum is , so .
Apply [A1] with to get with for all , and let satisfy for every , which exists because is bounded.
Hence for each fixed the real sequence is Cauchy, by [A1] and step 1.1; so it converges, and its limit is unique, so defines a function . No choice is used, each value being a unique limit.
Let be real and take from [A1] for , so for all . For a fixed and a fixed we get for every .
For every and every : by step 1.1; letting grow and using gives . So is bounded and .
Letting grow in step 2.2 and using , hence , gives for every and every .
So is an upper bound of for every , whence ; note that is defined, both functions being bounded.
Since was an arbitrary real, in with ; every Cauchy sequence therefore converges, and is complete.
Remarks
- The two limits are taken in different orders, and that is the point. Step 2.1 fixes and lets grow, producing a candidate limit function; steps 2.2 to 4.1 fix and let the other index grow inside an estimate that is uniform in . It is the uniformity of the bound in , and nothing else, that converts pointwise convergence into convergence in .
- Boundedness of the limit is a separate step and is genuinely needed. The metric is only defined once is known to be bounded (The supremum metric is a metric on the bounded real-valued functions on a nonempty set), so step 3.1 has to come before step 4.1. The extended real line is introduced later, but it is not used as a metric codomain or as a placeholder here; is real-valued only after boundedness of is proved.
- Nothing is assumed about beyond nonemptiness, which is what The supremum metric is a metric on the bounded real-valued functions on a nonempty set needs so that the supremum is taken over a nonempty set. In particular carries no topology and no metric here; the functions are arbitrary bounded functions, not continuous ones.
- Where the least-upper-bound property is spent. Twice: inside The Cauchy criterion from the least-upper-bound property: in a complete ordered field every Cauchy sequence converges at step 2.1, and in the very definition of (The supremum metric is a metric on the bounded real-valued functions on a nonempty set). Completeness of is the whole engine of this example.
maps into itself, is a -contraction, and has no fixed point
Statement refuted
Refuted claim: the completeness hypothesis in Banach's fixed point theorem (A contraction of a nonempty complete metric space into itself has exactly one fixed point, the limit of the iterates from any starting point) may be dropped; a contraction of a nonempty metric space into itself always has a fixed point.
Let (Intervals of : the nine order-convex forms, nondegeneracy, and length) carry the metric inherited from the real line (The absolute value makes a metric space: is a metric, its open balls are the intervals , and it is unbounded, Isometry, isometric embedding, and the subspace metric on a subset), and let be . Then is nonempty, maps into itself and is a contraction with constant (Lipschitz map, -Hölder map for rational , and contraction), and has no fixed point in . The single hypothesis of A contraction of a nonempty complete metric space into itself has exactly one fixed point, the limit of the iterates from any starting point that fails is completeness (Complete metric space: every Cauchy sequence converges in the space), and it does fail.
Facts & Assumptions
Given: The interval with the metric inherited from ; the map ; the sequence ; a real .
The absolute value makes a metric space, and a restriction of a metric to a subset is a metric with the same distances (The absolute value makes a metric space: is a metric, its open balls are the intervals , and it is unbounded, Isometry, isometric embedding, and the subspace metric on a subset, Metric space: iff , symmetry, and the triangle inequality; pseudometric and ultrametric, Basic properties of the absolute value).
For every real there is a natural with ; and gives (For every in a complete ordered field there is a natural with , Every complete ordered field is Archimedean, Inverses of positives are positive, and reciprocation reverses order).
A convergent sequence in a metric space is Cauchy, limits are unique, and both notions may be tested with real (Every convergent sequence in a metric space is Cauchy, A sequence in a metric space has at most one limit, Cauchy sequence in a metric space, Convergence of a sequence in a metric space: iff in , The rationals embed densely in the reals).
Contraction: Lipschitz with a constant satisfying (Lipschitz map, -Hölder map for rational , and contraction).
Counterexample
is nonempty, since .
maps into : for one has .
is a contraction with constant : for all , and .
Every term of lies in , since gives ; and in , because for a real and with every has and hence .
has no fixed point in : means , hence , and .
So is Cauchy in , hence Cauchy in , the distances being the same; and it has no limit in , since a limit would also be a limit in and uniqueness of limits there would force . Hence is not complete.
Therefore is a nonempty metric space and a contraction of it into itself with no fixed point, so the completeness hypothesis of A contraction of a nonempty complete metric space into itself has exactly one fixed point, the limit of the iterates from any starting point cannot be dropped.
Remarks
- The missing point is exactly the fixed point. In the map has the fixed point , and the iterates from any starting point in converge to . They are Cauchy in , as Banach's proof guarantees, and the space simply has nowhere to put their limit. So the theorem's proof runs correctly up to the last step, and completeness is precisely what that last step needs.
- Closedness would fix it. is closed in , hence complete (A subspace of a complete metric space is complete iff it is closed, and a complete subspace of any metric space is closed, and for with the Euclidean metric are complete, componentwise from the Cauchy criterion in ), and the same map on it has the fixed point . This is the usual way the hypothesis is met in practice.
- Every other hypothesis is present, which is what makes this a clean counterexample rather than a curiosity: is nonempty, maps into , and the contraction constant is explicit and uniform.
on strictly decreases every distance and has no fixed point
Statement refuted
Refuted claim: a self-map of a nonempty complete metric space with for all has a fixed point; equivalently, the contraction hypothesis of A contraction of a nonempty complete metric space into itself has exactly one fixed point, the limit of the iterates from any starting point may be weakened to that pointwise strict inequality (FALSE: for all on a complete metric space forces a fixed point).
Let (Intervals of : the nine order-convex forms, nondegeneracy, and length) carry the metric inherited from the real line (The absolute value makes a metric space: is a metric, its open balls are the intervals , and it is unbounded, Isometry, isometric embedding, and the subspace metric on a subset) and let
Then is nonempty and complete, maps into , whenever , and has no fixed point. Moreover is not a contraction (Lipschitz map, -Hölder map for rational , and contraction): no real satisfies for all .
Facts & Assumptions
Given: The interval with the metric inherited from ; the map ; a natural ; a real with .
The absolute value makes a metric space, a restriction of a metric is a metric, and (The absolute value makes a metric space: is a metric, its open balls are the intervals , and it is unbounded, Isometry, isometric embedding, and the subspace metric on a subset, Metric space: iff , symmetry, and the triangle inequality; pseudometric and ultrametric, Basic properties of the absolute value).
is complete; a closed subset of a complete metric space is complete; a subset is closed exactly when it is sequentially closed; and limits preserve non-strict inequalities ( and for with the Euclidean metric are complete, componentwise from the Cauchy criterion in , A subspace of a complete metric space is complete iff it is closed, and a complete subspace of any metric space is closed, A point lies in the closure of iff some sequence in converges to it, and a set is closed iff it is sequentially closed, Limits preserve non-strict inequalities, 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, Convergence of a sequence in a metric space: iff in , Complete metric space: every Cauchy sequence converges in the space).
Positivity of inverses, reversal of order under reciprocation, and multiplication of inequalities by positives (Inverses of positives are positive, and reciprocation reverses order, Sign rules for products and monotonicity of multiplication).
Archimedean property and its reciprocal form: for every real there is a natural with ; and positive naturals sit in in their own order (Every complete ordered field is Archimedean, For every in a complete ordered field there is a natural with , Canonical naturals are positive and strictly increasing).
Contraction: Lipschitz with a single constant satisfying (Lipschitz map, -Hölder map for rational , and contraction).
Counterexample
is nonempty () and sequentially closed in , since a sequence in converging to a real has for every and hence ; so is closed in , and being complete, is a nonempty complete metric space.
maps into : gives , so .
For : .
Let with . Then and they are not both , so , hence and ; therefore .
has no fixed point: for every , so .
is not a contraction. Suppose satisfied for all . Taking and for a natural gives and, by step 1.3, , so , that is .
But , so [L4] supplies a natural with , contradicting step 3.1. Hence no such exists.
So is nonempty and complete, strictly decreases every distance between distinct points, has no fixed point, and is not a contraction; this refutes the claim above and shows that the gap between the two hypotheses is real.
Remarks
- The two hypotheses differ by a quantifier, and step 3.1 measures the gap. The shrinking factor at the pair is , which is below for every and approaches as grows; the contraction condition asks for a single bound below covering all pairs at once, and that is exactly what fails. The same quantifier move separates continuity from uniform continuity (Uniform continuity of a map of metric spaces: one serving every point).
- Why the iterates do not help. Starting anywhere in , the iterates increase, since , and they run off to the right; there is no Cauchy sequence to complete, so completeness of is no help at all. This is the opposite failure mode to maps into itself, is a -contraction, and has no fixed point, where the iterates are Cauchy and the space is missing their limit.
- Unboundedness is essential to the example, not to the phenomenon as stated here. What this item establishes is only that completeness plus the strict inequality is not enough. It makes no claim about what additional hypothesis would suffice; the classical repair uses compactness, which is a later page of this library.
On with for the sets are nested, closed, bounded and complete with empty intersection
Statement refuted
Refuted claim: in Cantor's intersection theorem (In a complete metric space nested nonempty closed sets whose diameters tend to meet in exactly one point, and this property characterises completeness) the hypothesis may be dropped; in a complete metric space a nested sequence of nonempty closed bounded sets has nonempty intersection.
Let (The natural numbers (von Neumann)) and define
where whenever , so the reciprocal is defined. Put . Then is a metric, is complete, every is nonempty, closed, bounded and itself complete, the are nested, and
What fails is only the diameter condition: for every .
Facts & Assumptions
Given: with the function above; the sets ; naturals ; a real .
contains , and for distinct naturals one has , so is a positive real, at most (The natural numbers (von Neumann), Canonical naturals are positive and strictly increasing, Inverses of positives are positive, and reciprocation reverses order).
The metric axioms (M1), (M2), (M3), and nonnegativity (Metric space: iff , symmetry, and the triangle inequality; pseudometric and ultrametric, Nonnegativity of a metric is a consequence of the other axioms, not an axiom).
Open sets, balls, Cauchyness and convergence, tested with real (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, Open ball, closed ball and sphere in a metric space, Cauchy sequence in a metric space, Convergence of a sequence in a metric space: iff in , The rationals embed densely in the reals).
Bounded subset and diameter: is bounded when it lies in a ball, and for nonempty bounded ; the supremum is the least upper bound (Bounded subset, diameter, distance from a point to a set, and distance between two sets in a metric space, Complete ordered field (least-upper-bound property), Maximum and minimum of a set).
Reciprocals reverse order on the positives, and for every real there is a natural with (Inverses of positives are positive, and reciprocation reverses order, For every in a complete ordered field there is a natural with , Every complete ordered field is Archimedean).
A closed subset of a complete metric space is complete (A subspace of a complete metric space is complete iff it is closed, and a complete subspace of any metric space is closed, Complete metric space: every Cauchy sequence converges in the space).
Counterexample
is well defined and symmetric, and exactly when , since for the value is at least . In fact for all , because .
satisfies the triangle inequality . If the left side is ; if or one side of the right-hand sum is and the other equals the left side; and if , , are pairwise distinct then . So is a metric on .
Every subset of is open, hence also closed: for the ball is , since for , so every subset is a union of open balls; complements of subsets are subsets.
is complete: a Cauchy sequence tested at has an index with for all , which by step 1.1 forces ; so the sequence is constant from on and converges to .
Each is bounded: for every , so .
Each is nonempty (it contains ), closed by step 2.2, and complete by [L6]; and , so the family is nested.
. Indeed the distances realised inside are and the values for distinct ; among such pairs is least when , giving , and is largest there. So is an upper bound of those distances and is itself one of them, hence it is the least upper bound.
In particular for every , so the sequence does not converge to : at no index makes the diameters smaller than .
The intersection is empty: for every we have , since ; so no natural lies in all the .
So in the complete metric space the sets are nonempty, closed, bounded, complete and nested, and their intersection is empty; the only hypothesis of In a complete metric space nested nonempty closed sets whose diameters tend to meet in exactly one point, and this property characterises completeness that they fail is , so that hypothesis cannot be dropped.
Remarks
- Indexing. contains here, so is written with and not with or : at those would be undefined or degenerate. The clause is what guarantees , and it is the reason the formula is stated by cases rather than as a single expression.
- The metric is a small perturbation of the discrete metric, taking values in , and its topology is discrete. Every subset is closed, so closedness is free and carries no information; what the example exploits is that a set can be closed, bounded and complete while its points stay a definite distance apart, so a nested family can drain away to nothing.
- Contrast with the real line. On the same sets are nested, nonempty and closed with empty intersection, but they are not bounded, so they are not a Cantor chain either. The present example is sharper: it keeps boundedness and loses only the vanishing of the diameters.
- Both conclusions of the theorem fail here, not just one. There is neither a common point nor a unique one, which is what one expects: the uniqueness half of In a complete metric space nested nonempty closed sets whose diameters tend to meet in exactly one point, and this property characterises completeness is exactly what the vanishing diameters buy.
On the positive integers the metrics and both induce the discrete topology, and only the first is complete
Statement refuted
Refuted claim: completeness is determined by the topology, so topologically equivalent metrics are either both complete or both incomplete (FALSE: completeness of a metric space is determined by its topology, Topologically, uniformly and Lipschitz equivalent metrics on a set).
Let be the positive integers, regarded inside through the canonical embedding, and put
Then both are metrics on , both induce the discrete topology, so ; is complete and is not; and consequently and are not uniformly equivalent either (Topologically, uniformly and Lipschitz equivalent metrics on a set).
Facts & Assumptions
Given: The set of positive integers inside ; the functions and above; the sequence in ; a real .
The absolute value makes a metric space, a restriction of a metric to a subset is a metric, and the pullback of a metric along an injection is a metric (The absolute value makes a metric space: is a metric, its open balls are the intervals , and it is unbounded, Isometry, isometric embedding, and the subspace metric on a subset, Metric space: iff , symmetry, and the triangle inequality; pseudometric and ultrametric, Basic properties of the absolute value).
Reciprocation is strictly decreasing on the positive reals, hence injective there (Inverses of positives are positive, and reciprocation reverses order).
For distinct naturals one has (Canonical naturals are positive and strictly increasing, The natural numbers (von Neumann), The unique embedding of ℚ into an ordered field).
For every real there is a natural with (For every in a complete ordered field there is a natural with , Every complete ordered field is Archimedean).
Open sets, balls, Cauchyness and convergence, tested with real (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, Open ball, closed ball and sphere in a metric space, Cauchy sequence in a metric space, Convergence of a sequence in a metric space: iff in , The rationals embed densely in the reals).
Uniform equivalence of two metrics says exactly that both identity maps are uniformly continuous, and a uniformly continuous map sends Cauchy sequences to Cauchy sequences (Topologically, uniformly and Lipschitz equivalent metrics on a set, Uniform continuity of a map of metric spaces: one serving every point, A uniformly continuous map sends Cauchy sequences to Cauchy sequences).
Counterexample
is a metric on , being the restriction of the usual metric of ; and is a metric on , since it is the pullback of that metric along the injective map .
The -topology is discrete: for every , because for ; so every subset of is a union of open balls, hence open.
The -topology is discrete as well. Fix and put . If then , so ; if then and , so . Hence and every subset of is -open.
is complete: a -Cauchy sequence tested at has an index with for all , which by [L3] forces ; so the sequence is constant from on and converges in .
The sequence is -Cauchy: given a real , take with ; for we have and , so .
Therefore : both are the collection of all subsets of , so and are topologically equivalent.
It has no -limit in : if then , and taking with gives, for every , and hence ; so from no index on is below , and . Hence is not complete.
The same sequence is not -Cauchy, since for every ; so if and were uniformly equivalent, the identity map would be uniformly continuous and would carry the -Cauchy sequence to a -Cauchy sequence, which it is not. Hence and are not uniformly equivalent.
So and are topologically equivalent metrics on one set of which exactly one is complete, which refutes the claim above; and step 3.3 locates the reason, namely that topological equivalence is strictly weaker than uniform equivalence.
Remarks
- The two spaces are the same set with the same open sets and different geometry. In the points are uniformly spaced, at distance at least ; in they crowd together, the distance from to being , which tends to . A discrete topology cannot see that difference, and completeness can.
- What is missing. Under it is isometric to the set inside , which is not closed there: the point is missing (A subspace of a complete metric space is complete iff it is closed, and a complete subspace of any metric space is closed). The sequence of step 4.1 is exactly the sequence heading for that missing point.
- Reciprocal metrics on would not work. in this library, and does not exist, which is why the underlying set here is the positive integers and the sequence is rather than .
- The same pair of phenomena, one level down. That these two metrics do not share their Cauchy sequences is the statement refuted by FALSE: two metrics inducing the same topology have the same Cauchy sequences, witnessed on the half-line by On the metrics and share their topology and not their Cauchy sequences; completeness fails here for precisely that reason.
On the metrics and share their topology and not their Cauchy sequences
Statement refuted
Refuted claim: topologically equivalent metrics have the same Cauchy sequences (FALSE: two metrics inducing the same topology have the same Cauchy sequences, Topologically, uniformly and Lipschitz equivalent metrics on a set, Cauchy sequence in a metric space).
Let (Intervals of : the nine order-convex forms, nondegeneracy, and length) and put
Both are metrics on and . The sequence is -Cauchy and not -Cauchy; the sequence is -Cauchy and not -Cauchy. So neither metric's Cauchy sequences are contained in the other's, and topological equivalence controls neither direction.
Facts & Assumptions
Given: The set with the metrics and above; the sequences and ; a point ; reals .
The absolute value makes a metric space, a restriction of a metric is a metric, and the pullback of a metric along an injection is a metric (The absolute value makes a metric space: is a metric, its open balls are the intervals , and it is unbounded, Isometry, isometric embedding, and the subspace metric on a subset, Metric space: iff , symmetry, and the triangle inequality; pseudometric and ultrametric, Basic properties of the absolute value).
For : , so and ; reciprocation is strictly decreasing on the positives, hence injective there (Inverses of positives are positive, and reciprocation reverses order, Sign rules for products and monotonicity of multiplication).
Open sets and balls (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, Open ball, closed ball and sphere in a metric space); a set is open exactly when every point of it has a ball around it inside it.
For every real there is a natural with (For every in a complete ordered field there is a natural with , Every complete ordered field is Archimedean).
Two reals have a minimum (Every nonempty finite set of reals has a maximum and a minimum, Maximum and minimum of a set).
Cauchyness may be tested with real (Cauchy sequence in a metric space, The rationals embed densely in the reals).
Uniform equivalence says both identity maps are uniformly continuous, and a uniformly continuous map sends Cauchy sequences to Cauchy sequences (Topologically, uniformly and Lipschitz equivalent metrics on a set, Uniform continuity of a map of metric spaces: one serving every point, A uniformly continuous map sends Cauchy sequences to Cauchy sequences).
Counterexample
is a metric on , being the restriction of the usual metric of ; and is a metric on , being the pullback of that metric along the injective map .
Given and a real , put . If then , so and hence ; therefore . So .
Given and a real , put . If then , so and hence . So .
The sequence lies in ; it is -Cauchy, since for a real and with every gives .
Hence : a -open is -open by step 2.1 applied at each of its points, and conversely by step 2.2.
It is not -Cauchy: , so for every and the Cauchy condition fails at .
The sequence lies in ; it is -Cauchy, since , which is below for by the computation of step 2.3.
It is not -Cauchy: for every , so the Cauchy condition fails at .
So and are topologically equivalent metrics on whose classes of Cauchy sequences are incomparable, which refutes the claim above.
In particular and are not uniformly equivalent, since uniform equivalence would make both identity maps uniformly continuous and hence would preserve Cauchy sequences in both directions.
Remarks
- The map is what is being tested. It is a bijection of onto itself and a homeomorphism, by steps 2.1 and 2.2, and is the metric it pulls back from . Homeomorphisms preserve open sets and convergence; they do not preserve Cauchyness, and this is that failure written out.
- Both failures come from a missing endpoint, at opposite ends. The sequence heads for , which does not contain, so it is -Cauchy without converging; its image under runs off to the right and is not Cauchy at all. Reading the same picture through exchanges the two ends, which is why the failure is symmetric.
- Indexing. The terms are and rather than and because contains in this library; does not exist and , so both sequences are shifted to start safely inside the space.
- The completeness version of the same phenomenon is On the positive integers the metrics and both induce the discrete topology, and only the first is complete, and the general statement being refuted there is FALSE: completeness of a metric space is determined by its topology.
is continuous on and sends the Cauchy sequence to an unbounded one
Statement refuted
Refuted claim: the hypothesis of A uniformly continuous map sends Cauchy sequences to Cauchy sequences may be weakened from uniform continuity to continuity; a continuous map of metric spaces sends Cauchy sequences to Cauchy sequences.
Let (Intervals of : the nine order-convex forms, nondegeneracy, and length) with the metric inherited from the real line (The absolute value makes a metric space: is a metric, its open balls are the intervals , and it is unbounded, Isometry, isometric embedding, and the subspace metric on a subset), let carry its usual metric, and let be . Then is continuous (Continuity of a map between metric spaces, at a point and globally, in the - form), the sequence is Cauchy in (Cauchy sequence in a metric space), and the image sequence is unbounded and not Cauchy. Consequently is not uniformly continuous (Uniform continuity of a map of metric spaces: one serving every point).
Facts & Assumptions
Given: The interval with the metric inherited from ; the map ; the sequence ; a point ; reals .
The absolute value makes a metric space, and a restriction of a metric to a subset is a metric with the same distances (The absolute value makes a metric space: is a metric, its open balls are the intervals , and it is unbounded, Isometry, isometric embedding, and the subspace metric on a subset, Metric space: iff , symmetry, and the triangle inequality; pseudometric and ultrametric, Basic properties of the absolute value).
For : ; reciprocation reverses order on the positives; and inequalities may be multiplied by positives (Inverses of positives are positive, and reciprocation reverses order, Sign rules for products and monotonicity of multiplication).
For every real there is a natural with , and for every real there is a natural with (For every in a complete ordered field there is a natural with , Every complete ordered field is Archimedean).
Two reals have a minimum (Every nonempty finite set of reals has a maximum and a minimum, Maximum and minimum of a set).
Continuity at a point, uniform continuity, Cauchyness and convergence, all testable with real (Continuity of a map between metric spaces, at a point and globally, in the - form, Uniform continuity of a map of metric spaces: one serving every point, Cauchy sequence in a metric space, Convergence of a sequence in a metric space: iff in , The rationals embed densely in the reals).
A convergent sequence in a metric space is Cauchy (Every convergent sequence in a metric space is Cauchy); a sequence of reals is bounded when some real dominates all its absolute values (Sequences of reals: bounded, eventually, frequently, tails, subsequences).
Uniformly continuous maps send Cauchy sequences to Cauchy sequences (A uniformly continuous map sends Cauchy sequences to Cauchy sequences).
Counterexample
is continuous at every : put . If and then , so , and therefore . Since was arbitrary, is continuous on .
Every term of lies in : gives .
is Cauchy in : given a real , take with ; for we have and , so .
for every .
The image sequence is unbounded: for a real , [L3] supplies a natural with , and then .
The image sequence is not Cauchy: for every , so the Cauchy condition fails at .
So a continuous map has carried a Cauchy sequence to a non-Cauchy one, which refutes the claim above; and cannot be uniformly continuous, since a uniformly continuous map would have preserved Cauchyness.
Remarks
- Where the escapes. The produced in step 1.1 is proportional to , so it shrinks to nothing as approaches ; there is no single serving every point, which is exactly the failure of uniform continuity (Uniform continuity of a map of metric spaces: one serving every point). The Cauchy sequence walks into the region where the s vanish.
- The domain, not the formula, is the problem. On with the same map is Lipschitz with constant , hence uniformly continuous, and it preserves Cauchy sequences there. It is the missing endpoint of that makes the example work, and that is the same missing point as in FALSE: every Cauchy sequence in a metric space converges.
- Indexing. The sequence is and not , because contains here (Sequences of reals: bounded, eventually, frequently, tails, subsequences) and does not exist; and not , because that equals at and .
- This is one of the two witnesses named in Contraction implies Lipschitz implies uniformly continuous implies continuous; every Hölder map is uniformly continuous, and a Lipschitz map on a bounded space is Hölder for every exponent, the one separating continuity from uniform continuity. The other, separating Hölder from Lipschitz, is on is uniformly continuous and exactly -Hölder, and is not Lipschitz.
is a uniformly continuous bijection of onto itself whose inverse is not uniformly continuous
Statement refuted
Refuted claim: the inverse of a uniformly continuous bijection of metric spaces is uniformly continuous (Uniform continuity of a map of metric spaces: one serving every point, Injection, surjection, bijection).
Let (Intervals of : the nine order-convex forms, nondegeneracy, and length) with the metric inherited from the real line (The absolute value makes a metric space: is a metric, its open balls are the intervals , and it is unbounded, Isometry, isometric embedding, and the subspace metric on a subset), and let
Then is a bijection of onto itself with inverse ; is uniformly continuous; and is not uniformly continuous, the pairs and defeating every candidate at .
Facts & Assumptions
Given: with the metric inherited from ; the maps and ; a natural ; reals .
Every has a unique with (Square roots exist: a unique with ; the positives are , Integer powers ).
For : if and only if (Squaring is monotone on the nonnegatives).
on is -Hölder with constant and is uniformly continuous ( on is uniformly continuous and exactly -Hölder, and is not Lipschitz, Lipschitz map, -Hölder map for rational , and contraction, Contraction implies Lipschitz implies uniformly continuous implies continuous; every Hölder map is uniformly continuous, and a Lipschitz map on a bounded space is Hölder for every exponent).
Factorisation of a difference of squares: (Factorisation of , and the resulting Lipschitz estimate).
For every real there is a natural with ; positive naturals are positive reals; and gives (For every in a complete ordered field there is a natural with , Every complete ordered field is Archimedean, Canonical naturals are positive and strictly increasing, Inverses of positives are positive, and reciprocation reverses order).
Uniform continuity: one per serving every pair (Uniform continuity of a map of metric spaces: one serving every point).
Counterexample
and map into : for by [L1], and for every real .
is uniformly continuous on .
For every real and every : .
for every , and for every , the latter because and make the unique nonnegative square root of . So and are mutually inverse bijections of onto itself.
Fix a real and take a natural with ; put and , both in . Then .
But . So the pair satisfies and .
Since was arbitrary, no witnesses the uniform continuity condition for at , so is not uniformly continuous.
Therefore is a uniformly continuous bijection of onto itself whose inverse is not uniformly continuous, which refutes the claim above.
Remarks
- Both maps are continuous, and one direction of the pair is even Hölder. What fails is only the uniformity of the inverse: stretches distances by the factor , which is unbounded on , so no single can serve every pair. On any bounded piece the same factor is at most , so is Lipschitz there and the phenomenon disappears (Lipschitz map, -Hölder map for rational , and contraction).
- The witnesses shrink and their images do not. The pairs and are at distance , which tends to , while their images stay more than apart. That is the shape of every failure of uniform continuity: a family of pairs whose separation vanishes and whose image separation does not.
- Indexing. The witnesses are indexed by naturals , because appears; contains in this library and does not exist.
- A homeomorphism can be uniformly continuous in one direction only. So "uniformly homeomorphic" is a genuinely stronger relation than "homeomorphic", and this pair shows the two differ; the metric-level version of the same point is the gap between topological and uniform equivalence (Topologically, uniformly and Lipschitz equivalent metrics on a set, On the metrics and share their topology and not their Cauchy sequences).
Sources
Standard references
Recommended treatments; not extraction sources.
- Complete metric space (Wikipedia)
- W. Rudin, Principles of Mathematical Analysis, 3rd ed., Ch. 1 and Ch. 3
- Banach fixed-point theorem (Wikipedia)
- Fixed-point iteration (Wikipedia)
- Square root of 2 (Wikipedia)
- Lipschitz continuity (Wikipedia)
- Uniform continuity (Wikipedia)
- Hölder condition (Wikipedia)
- Nth root (Wikipedia)
- Uniform norm (Wikipedia)
- W. Rudin, Principles of Mathematical Analysis, 3rd ed., Ch. 7
- Contraction mapping (Wikipedia)
- Cantor's intersection theorem (Wikipedia)
- Equivalence of metrics (Wikipedia)
- Discrete space (Wikipedia)
- Cauchy sequence (Wikipedia)