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.
Monotone Sequences, Bolzano-Weierstrass, and Cauchy Completeness: Examples and Counterexamples
1 · Prerequisites
- Construction of the Natural Numbers
- Construction of the Real Numbers via Cauchy Sequences
- Construction of the Real Numbers via Dedekind Cuts
- Foundations of the Real Numbers for Analysis
- 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 Babylonian sequence , decreases to
Example
Let be given by
Then is strictly decreasing, every term satisfies , and
This is the Babylonian, or Heron, iteration for the square root, and it is the standard illustration of A nondecreasing sequence bounded above converges to the supremum of its range, and a nonincreasing sequence bounded below to the infimum: monotone plus bounded delivers a limit, and the recursion then identifies the limit, because the limit must be a fixed point of the map that produced the sequence.
Indexing. Sequences in this library are functions on , which starts at (Sequences of reals: bounded, eventually, frequently, tails, subsequences). The family above, indexed from , is realised as for the sequence with and , and the verification below works with . The shift changes nothing: convergence and monotonicity read the same under it (Convergence depends only on the tail).
Facts & Assumptions
Given: The set , the element , and the function with , which does land in because gives and hence ; by the recursion theorem (The recursion theorem) the unique with and . We write for , so and .
Recursion theorem (The recursion theorem) and the induction principle (The principle of mathematical induction).
Square roots: every has a unique with ; in particular (Square roots exist: a unique with ; the positives are , Integer powers ).
Powers and order: for , exactly when (Monotonicity of and of ).
A nonzero square is positive: gives (Squares of nonzero elements are positive).
Order and arithmetic: , hence and ; sums of positives are positive; adding a constant preserves the order; a positive has a positive inverse, and a quotient of positives is positive (The multiplicative identity is positive, Order is preserved by adding a constant and by adding inequalities, Inverses of positives are positive, and reciprocation reverses order, Ordered field, Complete ordered field (least-upper-bound property)).
Monotone sequences, with consecutive comparisons sufficing (Nondecreasing, increasing, nonincreasing, decreasing, monotone, and eventually monotone sequences), and boundedness below of a subset of (Lower bound, bounded below, bounded set).
Monotone convergence: a nonincreasing sequence whose range is bounded below converges, to the infimum of its range (A nondecreasing sequence bounded above converges to the supremum of its range, and a nonincreasing sequence bounded below to the infimum, Limits and Cauchy sequences of reals).
Algebra of limits, including the quotient case when the denominators and the limit are nonzero (Algebra of limits: sums, scalar multiples, products and quotients); limits preserve non-strict inequalities (Limits preserve non-strict inequalities); a sequence and its tails have the same limits (Convergence depends only on the tail); limits are unique (A sequence has at most one limit).
Verification
Every term is positive, since takes values in by construction.
By induction, for every . Base: . Step: assuming , the identity holds by field arithmetic, and its right-hand side is the square of a nonzero element, since and , hence is .
Every term satisfies : both and are , and .
The sequence is strictly decreasing: , since the numerator is positive by step 1.2 and the denominator by step 1.1; consecutive comparisons then give strict decrease, hence also that is nonincreasing.
The range of is bounded below by , so by monotone convergence converges; write for its limit.
: the inequality holds at every index, so it passes to the limit in its non-strict form. In particular , since by and .
By the algebra of limits, using for every and , the sequence converges to .
The sequence is the first tail of , so it also converges to ; and it is the same sequence as in step 5.1, by the recursion clause.
By uniqueness of limits, , hence , hence and .
Since and , uniqueness of the nonnegative square root gives . So , and with it , is strictly decreasing, stays above , and converges to .
Remarks
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The identification of the limit is the interesting half. Monotone convergence produces but says only that it is the infimum of the range, which is not a usable description. Passing to the limit in the recursion turns the description into an equation, , and that equation has exactly one nonnegative solution. The step that makes this legitimate is Convergence depends only on the tail: the shifted sequence has the same limit as , so the two sides of the recursion may be compared in the limit.
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The hypothesis is not free. The quotient case of Algebra of limits: sums, scalar multiples, products and quotients requires it, and it is supplied by step 4.1, not assumed. Had the sequence been allowed to approach the argument would break exactly there, and this is the usual place where a proof of this example is incomplete.
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Convergence is very fast, though nothing above uses that. The identity in step 1.2 also gives , so the error is squared at each step: the iteration is Newton's method applied to . The contractive estimate of Every contractive sequence is Cauchy, hence converges, with error bound for would give only geometric decay, so it is a weaker tool here, and the monotone route is both shorter and sharper.
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Nothing in the argument is special to . The same proof with replaced by any , starting from any with , converges to . The starting value is chosen because makes the base case of step 1.2 immediate.
The sequence , increases to
Example
Let be given by
Then is strictly increasing, every term satisfies , and
Informally this is the value of the nested radical , and the point of the example is that the expression means nothing until the sequence is shown to converge; only then does passing to the limit in the recursion identify the value.
Indexing. As in The Babylonian sequence , decreases to , the family indexed from is realised as for the sequence with and , and the verification works with (Sequences of reals: bounded, eventually, frequently, tails, subsequences, Convergence depends only on the tail).
Facts & Assumptions
Given: The set , the element , and the function with ; by the recursion theorem (The recursion theorem) the unique with and . We write for , so and .
Recursion theorem (The recursion theorem).
Square roots: every has a unique with (Square roots exist: a unique with ; the positives are , Integer powers ).
Powers and order: for , exactly when , and exactly when (Monotonicity of and of ).
Order and arithmetic: , so and ; adding a constant preserves the order, and inequalities may be added (The multiplicative identity is positive, Order is preserved by adding a constant and by adding inequalities, Ordered field, Complete ordered field (least-upper-bound property)).
A field has no zero divisors: forces or (A field has no zero divisors: or ).
Monotone sequences, with consecutive comparisons sufficing (Nondecreasing, increasing, nonincreasing, decreasing, monotone, and eventually monotone sequences); boundedness above of a subset of (Lower bound, bounded below, bounded set).
Monotone convergence: a nondecreasing sequence whose range is bounded above converges, to the supremum of its range (A nondecreasing sequence bounded above converges to the supremum of its range, and a nonincreasing sequence bounded below to the infimum, Limits and Cauchy sequences of reals).
Algebra of limits (Algebra of limits: sums, scalar multiples, products and quotients); limits preserve non-strict inequalities (Limits preserve non-strict inequalities); a sequence and its tails have the same limits (Convergence depends only on the tail); limits are unique (A sequence has at most one limit).
Verification
The function does map into , so the construction is legitimate: for we have , hence and , which gives .
Consequently every term satisfies , since takes its values in .
The sequence is strictly increasing. Fix . From we get and , so , that is , that is . Since and , this gives ; consecutive comparisons then give strict increase, hence also that is nondecreasing.
The range of is bounded above by , so by monotone convergence converges; write for its limit.
: the inequalities hold at every index, by step 2.1 and step 1.2, and pass to the limit in their non-strict form.
The sequence is the first tail of , so it converges to , and therefore converges to by the algebra of limits.
The same sequence satisfies for every , and converges to .
By uniqueness of limits, , that is .
Since we have , so , and a field has no zero divisors, so and . Thus , and with it , is strictly increasing, lies in , and converges to .
Remarks
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The limit is not attained. Every term is strictly below and the limit is , which is the supremum of the range and does not belong to it. That is the ordinary situation for a strictly increasing convergent sequence, and it is why A nondecreasing sequence bounded above converges to the supremum of its range, and a nonincreasing sequence bounded below to the infimum is stated with a supremum rather than a maximum.
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The quadratic has two roots and only one is admissible. The limit equation is solved by and by . The second is excluded by step 4.1, which is why the bound is proved rather than waved through: without it the argument would identify the limit only up to a sign, and a reader who writes down the limit equation without checking the range of has proved strictly less than the example claims.
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Squaring the recursion avoids a continuity argument. Passing to the limit in directly would need continuity of the square root, which this library has not proved at this point. Squaring first turns the recursion into , in which only the algebra of limits is required. The device is worth remembering: an identity between polynomials in the terms passes to the limit for free, whereas an identity involving a function does not.
The nested intervals intersect in exactly
Example
For let , a nonempty closed bounded interval (Intervals of : the nine order-convex forms, nondegeneracy, and length). The family is nested, its lengths tend to , and
This is the standard instance of the single-point case of A nested sequence of nonempty closed bounded intervals has nonempty intersection, and the intersection is a single point exactly when the lengths tend to , and the intersection is computed twice over: once by the theorem, which says the intersection is a single point, and once by inspection, which says that point is .
Indexing. Written on , the family is for , which is the same family under the substitution (Sequences of reals: bounded, eventually, frequently, tails, subsequences). The verification uses .
Facts & Assumptions
Given: For the closed bounded interval , where denotes the canonical natural , which is positive and hence invertible; and the lengths .
Intervals: is a closed bounded interval, nonempty exactly when , of length ; and (Intervals of : the nine order-convex forms, nondegeneracy, and length).
Nested interval property: a nested sequence of nonempty closed bounded intervals has nonempty intersection, and that intersection is a single point exactly when the lengths tend to (A nested sequence of nonempty closed bounded intervals has nonempty intersection, and the intersection is a single point exactly when the lengths tend to ).
Canonical naturals: for , and is strictly increasing (Canonical naturals are positive and strictly increasing).
Reciprocals: gives , and gives (Inverses of positives are positive, and reciprocation reverses order).
Reciprocal Archimedean property: 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).
Absolute value: when (Basic properties of the absolute value).
Convergence of a sequence of reals to ; it suffices to test a real (Limits and Cauchy sequences of reals, Sequences of reals: bounded, eventually, frequently, tails, subsequences).
Trichotomy of the order on (Complete ordered field (least-upper-bound property), Ordered field).
Verification
Each is a nonempty closed bounded interval: gives , so and [L1] applies; its length is .
The family is nested: gives , so implies , that is .
The lengths tend to . Let be real and use [L5] to fix a natural with . For every we have , hence , and since .
By [L2] applied to steps 1.1, 2.1 and 2.2, the intersection is nonempty and is a single point.
That point is : indeed for every , since , so lies in the intersection, and a set that is a single point and contains is .
Hence , which in the notation of the statement is .
Remarks
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The two computations are independent and both are needed. That the intersection is a single point comes from A nested sequence of nonempty closed bounded intervals has nonempty intersection, and the intersection is a single point exactly when the lengths tend to and uses that the lengths are null; that the point is comes from inspection. Without the theorem one would still have to rule out the intersection being larger than , which is exactly the content of the length condition.
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The Archimedean property is the whole of step 2.2. In a non-Archimedean ordered field the same family has lengths that do not tend to , and the intersection contains every positive infinitesimal, so it is not a single point. What makes the example come out as stated is For every in a complete ordered field there is a natural with .
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Compare the open version. Removing the left endpoint gives , whose intersection is empty (The nested open intervals have empty intersection). The two computations differ in exactly one respect, whether the common point belongs to the sets, and that is the hypothesis of closedness in the theorem.
The sequence is bounded with subsequential limit set exactly
Example
For let
Then is bounded, with at every index, it does not converge, and its subsequential limit set (Subsequential limit of a real sequence, and the subsequential limit set) is exactly
The example separates two things that a first reading of Bolzano-Weierstrass can run together. A bounded sequence must have a subsequential limit; it may have several; and having several is exactly what stops it converging. Here there are two, and neither is a value of the sequence, since always.
Indexing and the sign. Written on the sequence is for , where and is the alternating sequence of The even and odd index maps and the alternating sequence: strictly increasing with their disjoint union, and the unique with , , which satisfies , and . Since , the sequence is , so and is the family above under the substitution . The verification uses .
Facts & Assumptions
Given: The alternating sequence and the index maps of The even and odd index maps and the alternating sequence: strictly increasing with their disjoint union, and the unique with , , which satisfies , and ; the sequence ; the sequence , where denotes the canonical natural ; and (Sequences of reals: bounded, eventually, frequently, tails, subsequences).
The alternating sequence: for every , and for every , and and are strictly increasing (The even and odd index maps and the alternating sequence: strictly increasing with their disjoint union, and the unique with , , which satisfies , and ).
Canonical naturals: for , and is strictly increasing (Canonical naturals are positive and strictly increasing).
Reciprocals: gives , and gives (Inverses of positives are positive, and reciprocation reverses order).
Reciprocal Archimedean property: 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).
Absolute value: , , for , and forces or (Basic properties of the absolute value, Absolute value in an ordered field).
Algebra of limits (Algebra of limits: sums, scalar multiples, products and quotients); subsequences inherit the limit (Subsequences inherit the limit); the absolute value is compatible with limits (The absolute value is compatible with limits); limits are unique (A sequence has at most one limit).
Convergence and boundedness of a sequence of reals; it suffices to test a real (Limits and Cauchy sequences of reals, Sequences of reals: bounded, eventually, frequently, tails, subsequences).
Subsequential limits: exactly when some subsequence of converges to (Subsequential limit of a real sequence, and the subsequential limit set).
Trichotomy of the order on (Complete ordered field (least-upper-bound property), Ordered field).
Verification
For every : gives , so ; and .
The sequence converges to : given a real , [L4] supplies a natural with , and for we have , so .
is bounded, with at every index.
Along the even index map: , so ; since is strictly increasing, is a subsequence of and so converges to , whence .
Along the odd index map: , so by the same argument.
Hence and .
Conversely, let and fix a strictly increasing with . Then ; but by step 2.1, and is a subsequence of , so it converges to .
By uniqueness of limits , so or .
Combining, ; and does not converge, since a convergent sequence has exactly one subsequential limit. Bounded by step 2.1, the sequence , that is , therefore has the asserted properties.
Remarks
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Where Bolzano-Weierstrass sits. Bolzano-Weierstrass: every bounded real sequence has a convergent subsequence guarantees that a bounded sequence has at least one subsequential limit; this example computes the whole set and finds two. Nothing above uses the theorem, since the two subsequential limits are exhibited directly, and that is the honest order of business: an existence theorem is not needed once a witness is in hand.
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The perturbation is what makes the example more than the alternating sequence. With replaced by the constant the sequence is alternating and each subsequential limit is attained infinitely often. Here at every index, so neither subsequential limit is ever a value of the sequence. Subsequential limits are limits, not values.
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The converse direction is where the partition earns its keep. Step 4.1 rules out every other candidate by taking absolute values, which collapses the sign and leaves the single null perturbation to handle. The alternative, splitting an arbitrary subsequence according to how many of its indices are even, needs the disjointness half of The even and odd index maps and the alternating sequence: strictly increasing with their disjoint union, and the unique with , , which satisfies , and and is longer.
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This is the standard example of a bounded divergent sequence with a computable and , namely and . Those notions are developed on the next page of the track, and this item is written so that it can be cited there without change.
The sequence is contractive with and converges to
Example
Fix any and let be the sequence with and
Then is contractive with contraction constant (Contractive sequence: for a fixed ), and
whatever the starting value is. Moreover Every contractive sequence is Cauchy, hence converges, with error bound for supplies the error bound for , which is computable from the first three terms alone.
The limit is the unique solution of , that is the unique fixed point of the map . This is the smallest honest instance of the Banach fixed point theorem: a contraction on has one fixed point, and every orbit converges to it.
Facts & Assumptions
Given: A real , and by the recursion theorem (The recursion theorem) applied to , the element and the function , the unique sequence of reals with and (Sequences of reals: bounded, eventually, frequently, tails, subsequences); the constant .
Recursion theorem (The recursion theorem).
Order and arithmetic: , so ; a positive has a positive inverse; and exactly when , so (The multiplicative identity is positive, Order is preserved by adding a constant and by adding inequalities, Inverses of positives are positive, and reciprocation reverses order, Reciprocals and order: against , Ordered field, Complete ordered field (least-upper-bound property)).
Field arithmetic: , and is equivalent to (Field).
Absolute value: , and for , so (Basic properties of the absolute value).
Contractive sequences: a constant with and at every index (Contractive sequence: for a fixed ).
Every contractive sequence is Cauchy and converges, with the stated error bound for (Every contractive sequence is Cauchy, hence converges, with error bound for , Limits and Cauchy sequences of reals).
Algebra of limits (Algebra of limits: sums, scalar multiples, products and quotients); a sequence and its tails have the same limits (Convergence depends only on the tail); limits are unique (A sequence has at most one limit).
Verification
The constant satisfies .
For every : , so .
Hence is contractive with contraction constant , the inequality of [L5] holding with equality at every index.
By [L6] the sequence converges; write for its limit, and the error bound of [L6] holds for it with .
The sequence is the first tail of , so it converges to ; and by the algebra of limits converges to .
The two sequences of step 4.1 are the same sequence, by the recursion clause, so uniqueness of limits gives , hence , hence and .
So for every starting value the sequence is contractive with and converges to , with the error bound of step 3.1.
Remarks
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The starting value is genuinely arbitrary. Nothing in the verification uses anything about , and the limit does not depend on it. What does depend on it is the error bound, through , which for this recursion equals .
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Contractivity is exact here, not an estimate. Step 1.2 gives equality, , so for every starting value the constant is the smallest admissible one; for the sequence is constant, every gap is , and every is admissible (Contractive sequence: for a fixed ). The error bound of Every contractive sequence is Cauchy, hence converges, with error bound for is as sharp as that theorem can make it. Contrast from has strictly decreasing consecutive gaps and diverges, so no uniform exists, where the ratio of consecutive gaps tends to and no admissible constant exists at all.
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Why a fixed point is forced. The limit satisfies the recursion equation because a sequence and its shift have the same limit (Convergence depends only on the tail) and the algebra of limits transports the right-hand side. This is the same move as in The Babylonian sequence , decreases to and The sequence , increases to ; the difference is that here convergence comes from contractivity rather than from monotonicity, and no monotonicity is available, since for the sequence decreases and for it increases while for it is constant.
The truncated decimal approximations of form a Cauchy sequence of rationals with no rational limit
Statement refuted
Refuted claim: every Cauchy sequence of rationals converges to a rational; equivalently, is complete (FALSE: the rationals are complete, The rationals as equivalence classes of pairs of integers).
The witness is the sequence of truncated decimal approximations of , , , , , and so on: where is the largest natural number with . That this sequence is Cauchy in and has no rational limit is proved in full in FALSE: the rationals are complete and is not repeated here.
What this item adds is the view from , which is what makes the witness informative rather than merely negative: the same sequence converges in , and its limit is . So the defect is not in the sequence but in , and the contrast is exactly The Cauchy criterion from the least-upper-bound property: in a complete ordered field every Cauchy sequence converges, which says that a Cauchy sequence of reals never behaves this way.
Facts & Assumptions
Given: For the rational , where is the largest natural with , together with the properties established for it in FALSE: the rationals are complete; and the real (Square roots exist: a unique with ; the positives are ). Rationals are identified with their images in under the embedding (The rationals embed densely in the reals), so is also a sequence of reals (Sequences of reals: bounded, eventually, frequently, tails, subsequences).
The construction and its properties: , , and is a Cauchy sequence of rationals with no rational limit (FALSE: the rationals are complete).
The embedding is an injective, order-preserving field homomorphism of into , so every identity and inequality between rationals holds between their images and conversely (The rationals embed densely in the reals, The rationals as equivalence classes of pairs of integers).
Square roots: is the unique nonnegative real with (Square roots exist: a unique with ; the positives are , Integer powers ).
Powers and order: for , exactly when , and exactly when (Monotonicity of and of ); and for (Laws of integer exponents).
For the sequence converges to (For the sequence is null, and for the sequence diverges to ).
Squeeze theorem (The squeeze theorem) and the algebra of limits (Algebra of limits: sums, scalar multiples, products and quotients); a constant sequence converges to its value (Sequences of reals: bounded, eventually, frequently, tails, subsequences, Limits and Cauchy sequences of reals).
Every convergent sequence of reals is Cauchy (Every convergent sequence is Cauchy); every Cauchy sequence of reals converges (The Cauchy criterion from the least-upper-bound property: in a complete ordered field every Cauchy sequence converges); limits are unique (A sequence has at most one limit).
No rational squares to (FALSE: some rational number squares to 2).
Counterexample
The inequalities of [L1] hold verbatim in , since the embedding preserves the order and the field operations.
and for every .
From , and we get ; from with both bases we get . Hence for every .
The sequence converges to .
The constant sequence and the sequence both converge to , and at every index, so the squeeze theorem gives ; by the algebra of limits .
In particular converges in and is therefore Cauchy as a sequence of reals; this is the behaviour The Cauchy criterion from the least-upper-bound property: in a complete ordered field every Cauchy sequence converges guarantees for every Cauchy sequence of reals, and it is what fails in .
Suppose converged to a rational . Then in it converges to , so by uniqueness of limits, hence ; the embedding is injective and preserves squaring, so in .
No rational squares to , so no such exists: is a Cauchy sequence of rationals with no rational limit, and the claim that is complete is refuted.
Remarks
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The limit exists; it is merely not rational. That is the entire content of the counterexample and the reason the construction of is worth doing. The sequence is Cauchy in , so "should" have a limit for it, and the point at which it converges lies outside .
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Decimal truncation is a convenience, not the mechanism. Any sequence of rationals converging to any irrational does the same job, for instance the Babylonian iterates of The Babylonian sequence , decreases to started at , which are all rational and converge to . Truncated decimals are chosen because the two-sided estimate is immediate from the definition of and turns into convergence with one application of the squeeze theorem.
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Note which completeness is which. FALSE: the rationals are complete refutes Cauchy completeness of . also fails the least-upper-bound property, on the same underlying fact that , and the two failures are not the same statement: Cauchy completeness and Dedekind completeness differ in general, and coincide only in the presence of the Archimedean property. Two independent proofs that is Cauchy complete, and why the library records both records where this library stands on that.
The nested open intervals have empty intersection
Statement refuted
Refuted claim: a nested sequence of nonempty bounded open intervals has nonempty intersection (FALSE: a nested sequence of nonempty bounded open intervals has nonempty intersection, Intervals of : the nine order-convex forms, nondegeneracy, and length).
The witness is for : each is a nonempty bounded open interval, the family is nested, and
The refutation is carried out in full in FALSE: a nested sequence of nonempty bounded open intervals has nonempty intersection and is recorded here as the named counterexample. The comparison worth keeping in view is the closed family , which differs only by the inclusion of the left endpoint and intersects in ; that computation is The nested intervals intersect in exactly .
Facts & Assumptions
Given: For the open interval , which is the family for under the substitution (Sequences of reals: bounded, eventually, frequently, tails, subsequences).
The family consists of nonempty bounded open intervals, is nested, and has empty intersection (FALSE: a nested sequence of nonempty bounded open intervals has nonempty intersection, Intervals of : the nine order-convex forms, nondegeneracy, and length).
Canonical naturals are positive and strictly increasing in the index (Canonical naturals are positive and strictly increasing); reciprocals of positives are positive and reciprocation reverses the order (Inverses of positives are positive, and reciprocation reverses order).
Reciprocal Archimedean property: 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).
Trichotomy of the order on (Complete ordered field (least-upper-bound property), Ordered field).
The refuted claim: a nested sequence of nonempty bounded open intervals has nonempty intersection.
Counterexample
Each is a nonempty bounded open interval and , so the family is an instance of the claim, which asserts that its intersection is nonempty.
Suppose belonged to every . Then , and for every .
Since , fix a natural with , and write with ; step 2.1 then gives as well, which trichotomy forbids.
So no such exists: , and the claim is refuted by a family of nonempty bounded open intervals.
Remarks
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Exactly one hypothesis of A nested sequence of nonempty closed bounded intervals has nonempty intersection, and the intersection is a single point exactly when the lengths tend to is missing. The intervals here are nonempty, bounded and nested; they are not closed. The true theorem is therefore not contradicted, and the counterexample shows that its closedness hypothesis cannot be dropped.
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The candidate point exists and is excluded by a hair. With one still has and , and the only possible common point is ; but for any , because the left endpoint is excluded. Closedness is precisely the hypothesis that puts the limiting endpoint into each set. Compare The nested intervals intersect in exactly , where it is present and the intersection is .
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The Archimedean property is doing the work in step 3.1. In a non-Archimedean ordered field a positive infinitesimal lies in every , and the intersection is nonempty. So this is a counterexample about , supplied by For every in a complete ordered field there is a natural with , and not a formal consequence of openness alone.
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Boundedness is a separate hypothesis and fails separately. The nested closed unbounded sets have empty intersection, so boundedness cannot be dropped keeps closedness and drops boundedness, with the same empty intersection, so neither hypothesis implies the other.
The nested closed unbounded sets have empty intersection, so boundedness cannot be dropped
Statement refuted
Refuted claim: a nested sequence of nonempty closed intervals has nonempty intersection, boundedness being unnecessary (A nested sequence of nonempty closed bounded intervals has nonempty intersection, and the intersection is a single point exactly when the lengths tend to , Intervals of : the nine order-convex forms, nondegeneracy, and length).
The witness is for , where denotes the canonical natural of . Each is a nonempty closed interval, the family is nested, and
A nested sequence of nonempty closed bounded intervals has nonempty intersection, and the intersection is a single point exactly when the lengths tend to therefore cannot be improved by deleting "bounded" from its hypotheses. Together with the open-interval counterexample on this page, which deletes "closed" instead, this shows that the two hypotheses are independent and that neither is an artefact of the proof.
Facts & Assumptions
Given: For the set , where denotes the canonical natural ; this is the closed interval (Intervals of : the nine order-convex forms, nondegeneracy, and length, Sequences of reals: bounded, eventually, frequently, tails, subsequences).
Intervals: is a closed interval, it is not bounded above, and it is nonempty since it contains (Intervals of : the nine order-convex forms, nondegeneracy, and length).
Canonical naturals: is strictly increasing, so in for every (Canonical naturals are positive and strictly increasing).
Archimedean property: for every real there is a natural with (Every complete ordered field is Archimedean).
Trichotomy and transitivity of the order on (Complete ordered field (least-upper-bound property), Ordered field).
Nested interval property, for nonempty closed bounded intervals (A nested sequence of nonempty closed bounded intervals has nonempty intersection, and the intersection is a single point exactly when the lengths tend to ).
The refuted claim: a nested sequence of nonempty closed intervals has nonempty intersection.
Counterexample
Each is a nonempty closed interval, containing the canonical natural ; and none of them is bounded, since has no upper bound.
The family is nested: in , so implies , that is .
Suppose belonged to every . Then for every .
By the Archimedean property fix a natural with ; step 3.1 applied to gives , which trichotomy forbids.
So no such exists: the family consists of nonempty closed intervals, is nested, and has empty intersection. The claim is refuted, and boundedness cannot be dropped from A nested sequence of nonempty closed bounded intervals has nonempty intersection, and the intersection is a single point exactly when the lengths tend to .
Remarks
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What fails is the existence of the supremum, not the argument's bookkeeping. In the proof of A nested sequence of nonempty closed bounded intervals has nonempty intersection, and the intersection is a single point exactly when the lengths tend to the intersection is computed as . Here and the set has no supremum in , precisely because is Archimedean, so there is no candidate point at all. This is a different failure mode from The nested open intervals have empty intersection, where the candidate point exists and is merely not a member.
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The sets are intervals but not bounded intervals. Intervals of : the nine order-convex forms, nondegeneracy, and length admits as one of its nine forms and assigns it no length, which is exactly why the length hypothesis of the nested interval property has nothing to say about this family.
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The Archimedean property is again what makes the intersection empty. In a non-Archimedean ordered field an element exceeding every canonical natural lies in every , so the intersection is nonempty there. The counterexample is a statement about .
has and is not Cauchy
Statement refuted
Refuted claim: a sequence of reals whose consecutive differences tend to is Cauchy (FALSE: if then is Cauchy, Limits and Cauchy sequences of reals).
The witness is for . Its consecutive differences satisfy
while the sequence itself is unbounded, hence not Cauchy (Every Cauchy sequence of reals is bounded). The refutation is carried out in full in FALSE: if then is Cauchy; this item records the witness and adds the sharper statement that diverges to (Divergence to and to ).
Facts & Assumptions
Given: The sequence of reals with , where denotes the canonical natural (Sequences of reals: bounded, eventually, frequently, tails, subsequences, Square roots exist: a unique with ; the positives are ).
The witness and its two properties: tends to , and is unbounded and not Cauchy (FALSE: if then is Cauchy).
Square roots, and the factorisation (Square roots exist: a unique with ; the positives are , Factorisation of , and the resulting Lipschitz estimate, Integer powers ).
Powers and order: for and , exactly when (Monotonicity of and of ).
Canonical naturals: positive for , and strictly increasing in the index (Canonical naturals are positive and strictly increasing); reciprocals of positives are positive and reciprocation reverses the order (Inverses of positives are positive, and reciprocation reverses order).
Archimedean property, both forms (Every complete ordered field is Archimedean, For every in a complete ordered field there is a natural with ).
Absolute value: for , and (Basic properties of the absolute value).
Every Cauchy sequence of reals is bounded (Every Cauchy sequence of reals is bounded).
Divergence to : for every real there is with for all (Divergence to and to ).
Trichotomy and transitivity of the order on (Complete ordered field (least-upper-bound property), Ordered field).
Counterexample
The sequence satisfies the hypothesis of the refuted claim, its consecutive differences tending to , and it is not Cauchy.
The failure is as strong as possible: diverges to . Let and put , so . By [L5] fix a natural with .
It therefore refutes the claim: having null consecutive differences does not make a sequence Cauchy.
For every : with and , so . Since was arbitrary, .
Remarks
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The gaps are null and their sums are not. The differences are about , so they tend to ; but they telescope, and is as large as one likes for large. The Cauchy condition constrains for all large pairs, and no hypothesis about consecutive pairs alone can deliver that.
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What the correct hypothesis looks like. Geometric decay of the gaps, with a single ratio at every index, does suffice (Contractive sequence: for a fixed , Every contractive sequence is Cauchy, hence converges, with error bound for ), because then the telescoped sums are dominated by a convergent geometric bound. Merely shrinking gaps are not enough either, which is from has strictly decreasing consecutive gaps and diverges, so no uniform exists.
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The same sequence separates two notions that are easy to confuse. Its gaps are null, so it is "eventually almost constant" in a naive reading; it is nevertheless unbounded and divergent to . Nothing about the local behaviour of a sequence controls its global behaviour.
The sequence is unbounded and has a convergent subsequence
Statement refuted
Refuted claim: a sequence of reals with a convergent subsequence is bounded, which is the converse of Bolzano-Weierstrass: every bounded real sequence has a convergent subsequence (FALSE: a sequence with a convergent subsequence is bounded (the converse of Bolzano-Weierstrass), Sequences of reals: bounded, eventually, frequently, tails, subsequences).
The witness is the interleaving
whose terms at even indices are and whose terms at odd indices are all . It is unbounded, and its odd-indexed subsequence is constant, hence convergent. The refutation is carried out in full in FALSE: a sequence with a convergent subsequence is bounded (the converse of Bolzano-Weierstrass); this item records the witness and adds the computation of its subsequential limit set.
Facts & Assumptions
Given: The strictly increasing index maps of The even and odd index maps and the alternating sequence: strictly increasing with their disjoint union, and the unique with , , which satisfies , and , whose ranges partition , and the sequence of reals with when and when (Sequences of reals: bounded, eventually, frequently, tails, subsequences).
The witness: is well defined, the subsequence is constantly and converges to , and is unbounded (FALSE: a sequence with a convergent subsequence is bounded (the converse of Bolzano-Weierstrass)).
The index maps are strictly increasing and their ranges partition (The even and odd index maps and the alternating sequence: strictly increasing with their disjoint union, and the unique with , , which satisfies , and ).
Canonical naturals: positive for and strictly increasing in the index (Canonical naturals are positive and strictly increasing); the Archimedean property (Every complete ordered field is Archimedean).
Boundedness of a sequence and of a subset of (Sequences of reals: bounded, eventually, frequently, tails, subsequences, Lower bound, bounded below, bounded set); a constant sequence converges to its value (Limits and Cauchy sequences of reals); and every convergent sequence of reals is bounded (Every convergent sequence is bounded).
Subsequential limits (Subsequential limit of a real sequence, and the subsequential limit set).
Absolute value: for (Basic properties of the absolute value); trichotomy of the order (Complete ordered field (least-upper-bound property), Ordered field).
Bolzano-Weierstrass: every bounded sequence of reals has a convergent subsequence (Bolzano-Weierstrass: every bounded real sequence has a convergent subsequence).
The refuted claim: a sequence of reals with a convergent subsequence is bounded.
Counterexample
has a convergent subsequence, namely the constant subsequence along , which converges to ; so it satisfies the hypothesis of the claim.
is unbounded: no real satisfies at every index.
The claim is therefore refuted: a convergent subsequence does not force boundedness, and the converse of Bolzano-Weierstrass fails.
The subsequential limit set of is exactly . It contains by step 1.1. Conversely, let converge; a convergent sequence is bounded, and along the even indices the values exceed every bound, so only finitely many can lie in the range of ; all later lie in the range of , where the value is , so the subsequence is eventually constantly and its limit is .
Remarks
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A one-point subsequential limit set does not imply convergence. By step 3.1 the set is , yet the sequence is unbounded and hence divergent. What is true is the converse implication: a convergent sequence has exactly one subsequential limit (Subsequential limit of a real sequence, and the subsequential limit set). So the subsequential limit set being a single point is necessary and not sufficient for convergence, and the missing hypothesis is boundedness.
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The interleaving is what makes the example work, and it needs the partition. Defining by cases on whether is even or odd is legitimate only because every natural number is exactly one of the two (The even and odd index maps and the alternating sequence: strictly increasing with their disjoint union, and the unique with , , which satisfies , and ). That is the same fact that makes the two subsequences between them exhaust the sequence.
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Compare the bounded case. With the unbounded branch replaced by a second constant , the same interleaving is bounded and divergent, its two subsequential limits being and . Bolzano-Weierstrass applies there and produces one of the two; here it does not apply at all, and the conclusion nevertheless happens to hold, which is exactly why the converse is not a theorem. A different bounded sequence with two subsequential limits is worked out in full at The sequence is bounded with subsequential limit set exactly , which reaches its two limits by an alternating sign carrying a null perturbation rather than by interleaving constants, so that neither limit is a value of the sequence.
from has strictly decreasing consecutive gaps and diverges, so no uniform exists
Statement refuted
Refuted claim: a sequence whose consecutive gaps are strictly decreasing,
is contractive, or at least converges (Contractive sequence: for a fixed , Every contractive sequence is Cauchy, hence converges, with error bound for ).
The witness is , . Its gaps are , strictly decreasing because is strictly increasing; and the sequence diverges to (Divergence to and to ). Since a contractive sequence converges (Every contractive sequence is Cauchy, hence converges, with error bound for ), no contraction constant can exist for it: the ratios of consecutive gaps are all below but have no bound below that works at every index.
Indexing. Written on the sequence is with and , and for (Sequences of reals: bounded, eventually, frequently, tails, subsequences).
Facts & Assumptions
Given: The set , the element , and the function with , which lands in because gives and hence ; by the recursion theorem (The recursion theorem) the unique with and ; and the gaps .
Recursion theorem (The recursion theorem) and induction principle (The principle of mathematical induction).
Order and arithmetic: , so ; sums of positives are positive; adding a constant preserves the order; a positive has a positive inverse, and gives (The multiplicative identity is positive, Order is preserved by adding a constant and by adding inequalities, Inverses of positives are positive, and reciprocation reverses order, Ordered field, Complete ordered field (least-upper-bound property)).
Powers: and , so ; and for , exactly when (Integer powers , Monotonicity of and of ).
Canonical naturals: positive for , and strictly increasing in the index (Canonical naturals are positive and strictly increasing); the Archimedean property (Every complete ordered field is Archimedean).
Absolute value: for and (Basic properties of the absolute value).
Monotone sequences, with consecutive comparisons sufficing (Nondecreasing, increasing, nonincreasing, decreasing, monotone, and eventually monotone sequences).
Divergence to (Divergence to and to ); a convergent sequence is bounded (Every convergent sequence is bounded); convergence (Limits and Cauchy sequences of reals).
Contractive sequences and their convergence: a contractive sequence, with a constant satisfying at every index, converges (Contractive sequence: for a fixed , Every contractive sequence is Cauchy, hence converges, with error bound for ).
Counterexample
Every term satisfies , since takes values in by construction.
The sequence is strictly increasing: , and consecutive comparisons give strict increase.
By induction, for every , where denotes the canonical natural. Base: . Step: .
The gaps are strictly decreasing: gives , that is ; and since both are positive.
diverges to . Let and put , so . By [L4] fix a natural with . Then , and since and this gives ; for every strict increase gives .
does not converge: a convergent sequence is bounded, whereas step 3.2 exhibits terms above every real.
No with is a contraction constant for : if one were, the sequence would be contractive and would converge, contradicting step 4.1.
So , that is , has strictly decreasing consecutive gaps by step 3.1, diverges to by step 3.2, and admits no uniform by step 5.1: strictly decreasing gaps neither make a sequence contractive nor make it converge.
Remarks
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The gaps are not merely decreasing, they are null. Since and , for any real the terms eventually exceed , so eventually (Inverses of positives are positive, and reciprocation reverses order). So this sequence is also a witness for FALSE: if then is Cauchy, alongside ; the two are close relatives, since says grows at least like .
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What the uniform constant is really asking for. The ratio of consecutive gaps here is , which is below at every index and approaches as grows. A contraction constant would have to sit strictly between all of those ratios and , and there is no room: the supremum of the ratios is itself. This is the precise sense in which Contractive sequence: for a fixed asks for more than "each gap smaller than the last".
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The comparison with a genuine contraction. In The sequence is contractive with and converges to the ratio is exactly at every index, so the constant exists and is optimal, and the error bound of Every contractive sequence is Cauchy, hence converges, with error bound for applies. The difference between the two examples is not the speed at which the gaps shrink at any given index but whether the shrinking is uniform.
Sources
Standard references
Recommended treatments; not extraction sources.
- Methods of computing square roots (Wikipedia)
- Square root of 2 (Wikipedia)
- T. Tao, Analysis I, 3rd ed., §6.3 (recursive sequences and their limits)
- J. Lebl, Basic Analysis I, §2.2
- Nested radical (Wikipedia)
- Monotone convergence theorem (Wikipedia)
- T. Tao, Analysis I, 3rd ed., §6.3
- Nested intervals (Wikipedia)
- Archimedean property (Wikipedia)
- W. Rudin, Principles of Mathematical Analysis, 3rd ed., Ch. 2
- Subsequential limit (Wikipedia)
- W. Rudin, Principles of Mathematical Analysis, 3rd ed., Ch. 3
- T. Tao, Analysis I, 3rd ed., §6.6
- MIT 18.100A, Lecture 9: Limsup, Liminf, and the Bolzano-Weierstrass Theorem
- J. Lebl, Basic Analysis I, Limit superior, limit inferior, and Bolzano-Weierstrass
- Fixed-point iteration (Wikipedia)
- Contraction mapping (Wikipedia)
- R. Bartle and D. Sherbert, Introduction to Real Analysis, 4th ed., §3.5
- Completeness of the real numbers (Wikipedia)
- T. Tao, Analysis I, 3rd ed., §5.1 and §5.4
- W. Rudin, Principles of Mathematical Analysis, 3rd ed., Ch. 1 and Ch. 3
- Cauchy sequence (Wikipedia)
- J. Lebl, Basic Analysis I, §2.4
- Sequence of Square Roots of Natural Numbers is not Cauchy (ProofWiki)
- Bolzano-Weierstrass theorem (Wikipedia)
- Subsequence (Wikipedia)