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Sequences and Limits: 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
- 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
This companion computes with the toolkit of sequences-and-limits. It opens with the reference null sequence of The sequence converges to , proved from density of and the Archimedean property of alone, and then spends it: a rational expression evaluated by the algebra of limits, an oscillating null sequence that separates the sign pattern from the size of the terms, the Archimedean divergence of , and the successive differences , which converge although both terms diverge. Tail invariance is worked out on the classical instance of changing the first hundred terms, and the two squeeze computations cover the standard root squeeze and a quotient that is not presented as a sum of two known limits.
The boundary cases are carried by counterexamples, one per load-bearing hypothesis: a null sequence times an unbounded one need not be null (boundedness cannot be dropped from A null sequence times a bounded sequence is null); the sum of two divergent sequences can converge, so the sum rule may not be read backwards; the quotient rule needs a nonzero limit in the denominator; and the squeeze theorem needs the two bounds to share their limit. Two further examples isolate the sharply true halves of the surrounding statements: subsequences of a null sequence inherit the limit, and the absolute value of the limit is recovered from the limit of the absolute values while the converse fails at every nonzero limit.
The page closes with the complete classification of the geometric sequence for every real ratio, from integer-power recursion and the Bernoulli and Archimedean estimates proved on roots-and-rational-powers: null for , constant for , bounded but divergent at , growing to for , and sign-alternating with for , so that converges exactly for .
3 · Logical flowchart
4 · Definitions, theorems and proofs
None yet.
5 · Examples, counterexamples and false statements
The sequence converges to
Example
The sequence of reals , with the successor of read in through the canonical-natural embedding (Canonical naturals are positive and strictly increasing), converges to (Limits and Cauchy sequences of reals, Sequences of reals: bounded, eventually, frequently, tails, subsequences). Every term is defined and positive. This is the real-sequence counterpart of the rational null sequence of the construction page, and it is the reference null sequence of this page: the later examples and counterexamples compute with it. The argument spends only density of in (The rationals embed densely in the reals), the Archimedean property of (The rationals are Archimedean) and reciprocal reversal (Inverses of positives are positive, and reciprocation reverses order); no completeness beyond the Archimedean property and no choice principle is used.
Facts & Assumptions
Given: A real number , and for every natural the real , where is the successor of read in through the canonical-natural embedding (Sequences of reals: bounded, eventually, frequently, tails, subsequences, Canonical naturals are positive and strictly increasing).
Density of in : strictly between any two reals lies a rational, so for every real there is a rational with (The rationals embed densely in the reals).
The rationals are Archimedean: for every rational there is a natural with (The rationals are Archimedean).
Reciprocation reverses order on positives: implies , and implies (Inverses of positives are positive, and reciprocation reverses order).
Canonical naturals: for every the element is positive, and the map is strictly increasing on , hence preserves non-strict order there (Canonical naturals are positive and strictly increasing).
Order is compatible with addition in : , and ; and with reads (Order is compatible with addition, Order on the natural numbers).
Absolute value: whenever (Absolute value in an ordered field).
Convergence: a sequence of reals converges to when for every rational there is with for all (Limits and Cauchy sequences of reals).
Verification
Let a real be given. By [F1] choose a rational with , and by [F2] choose a natural with .
For every natural one has by [F5]. Read in through the canonical-natural embedding, [F4] gives since , and because is either an equality of naturals, when the images agree, or a strict inequality of naturals at least , when [F4] makes the images strictly increase.
For such , apply [F3] to to get ; and because is an equality or a strict inequality of positive reals, the strict case being [F3] again. Chaining with step 1.1, .
Every term is positive: in , so by [F4] and by [F3]; and by [F6]. With step 3.1 this gives for all .
Steps 1.1 through 4.1 were run for an arbitrary real , hence in particular for every rational , and the threshold produced witnesses the convergence condition of [F7]. Therefore .
A rational expression in :
Example
The sequence converges to (Limits and Cauchy sequences of reals). The point is method: an explicit rational expression of is evaluated from the algebra of limits (Algebra of limits: sums, scalar multiples, products and quotients) once a single null sequence is known, without an -estimate fitted to the expression. Dividing numerator and denominator by the positive factor turns the expression into a quotient of two affine expressions in the null sequence of The sequence converges to .
Facts & Assumptions
Given: The sequence for , where is read in through the canonical-natural embedding (Sequences of reals: bounded, eventually, frequently, tails, subsequences, Canonical naturals are positive and strictly increasing).
The sequence converges to and every term is positive (The sequence converges to ).
Linearity clauses of the algebra of limits: if converges to and converges to , then converges to , and for every real the scalar multiple converges to (Algebra of limits: sums, scalar multiples, products and quotients).
Quotient clause of the algebra of limits: if converges to and converges to with and for every , then converges to (Algebra of limits: sums, scalar multiples, products and quotients).
Canonical naturals: for every , and is strictly increasing and positive on , hence preserves non-strict order there; in particular denote positive reals (Canonical naturals are positive and strictly increasing).
Field arithmetic: every nonzero element has a multiplicative inverse , multiplication distributes over addition, and (Field).
Absolute value: whenever , so and for every real (Absolute value in an ordered field).
Convergence: a sequence converges to when for every rational there is with for all (Limits and Cauchy sequences of reals).
Order arithmetic: the positives are closed under addition and trichotomy holds, so an element that is a sum of positives is positive and in particular nonzero (Ordered field).
Verification
For every the factor is positive by [F4] and hence nonzero by trichotomy [F9], so multiplying numerator and denominator by and distributing is legitimate: .
The sequence converges to and every is positive.
For every real the constant sequence converges to : given a rational , the estimate of [F6] holds at every index, so the threshold witnesses the condition of [F7].
The numerator converges: by the scalar clause of [F2], and by the sum clause applied to the constant sequence of step 1.3 and .
The denominator converges and is nowhere zero: as in step 2.1, by [F2] applied to the constant sequence of step 1.3 and ; and for every , since by [F4] and [F10], by step 1.2, and sums of positives are positive by [F9].
The limit of the denominator is nonzero: by [F4] and [F10], so by trichotomy [F9]. The quotient clause [F3] applied to the numerator of step 2.1 (), the denominator of step 3.1 (, nowhere zero) and the value gives , using the identified form of step 1.1.
The alternating sequence converges to
Example
Let be the sequence with and — the sequence usually written , introduced and proved non-convergent as a bounded sequence in FALSE: every bounded sequence converges. The sequence converges to (Limits and Cauchy sequences of reals): a null sequence may oscillate in sign at every term. The proof is the null-times-bounded lemma (A null sequence times a bounded sequence is null) applied to the null sequence of The sequence converges to and the bounded sequence , so no estimate depending on the sign pattern is needed.
Facts & Assumptions
Given: The unique sequence of reals with and (The recursion theorem), the sequence (Sequences of reals: bounded, eventually, frequently, tails, subsequences), and the sequence .
The recursion: is the unique sequence with and for every (FALSE: every bounded sequence converges).
Induction principle: if holds and implies for every , then holds for every natural (The principle of mathematical induction).
Absolute value is even: (Basic properties of the absolute value).
Absolute value: if and if (Absolute value in an ordered field).
converges to and every term is positive (The sequence converges to ).
Null times bounded: if converges to and is bounded, then converges to (A null sequence times a bounded sequence is null).
Boundedness: is bounded when there is a real with for every (Sequences of reals: bounded, eventually, frequently, tails, subsequences).
Verification
By induction [F2], for every : the base is , valid because by [F8] and for by [F4]; and if then by the recursion [F1] and [F3].
The sequence converges to .
Hence is bounded with bound : for every , which is the condition of [F7] with .
The product is the product of the bounded sequence of step 2.1 and the null sequence of step 1.2, so [F6] gives ; no hypothesis on the sign pattern of beyond boundedness is used.
The square roots diverge to
Example
Let denote the unique nonnegative square root of the canonical natural (Square roots exist: a unique with ; the positives are ). Then diverges to (Divergence to and to ): it is unbounded, hence not convergent (Every convergent sequence is bounded). The proof is the Archimedean comparison ; it uses only that is Archimedean (Every complete ordered field is Archimedean) and that squaring is monotone on the nonnegatives (Squaring is monotone on the nonnegatives).
Facts & Assumptions
Given: For every natural the canonical natural , written , and the real (Sequences of reals: bounded, eventually, frequently, tails, subsequences, Canonical naturals are positive and strictly increasing).
Divergence to : means that for every real there is with for all (Divergence to and to ).
Archimedean property: for every real there is a natural number with (Every complete ordered field is Archimedean).
Canonical naturals: and for ; the map is strictly increasing, hence preserves non-strict order, on ; so the real is nonnegative for every natural (The unique embedding of ℚ into an ordered field, Canonical naturals are positive and strictly increasing).
Square roots: every real has a unique with , written (Square roots exist: a unique with ; the positives are ).
Monotonicity of squaring on nonnegatives: for , (Squaring is monotone on the nonnegatives).
Trichotomy and order arithmetic: for all reals exactly one of , , holds, and implies (Ordered field, Order on the reals).
A sequence converging to a real is bounded, so a sequence that diverges to — being unbounded, since it eventually exceeds every real bound — is not convergent (Every convergent sequence is bounded, Divergence to and to , Sequences of reals: bounded, eventually, frequently, tails, subsequences).
Verification
For every natural the real is nonnegative by [F3], so [F4] applies: is defined with and .
First case, : by step 1.1, for every , so for all and the threshold witnesses the condition of [F1] for this .
Second case, : apply [F2] to the real to obtain a natural with . For every the order preservation of [F3] gives , hence ; since and with by step 1.1, the equivalence of [F5] at the nonnegative pair gives ; so every satisfies .
Steps 2.1 and 2.2 dispose of the two cases and , which exhaust the reals by [F6]: for every real there is a threshold beyond which , which is exactly the condition of [F1]; so diverges to . By [F7] it is therefore unbounded and does not converge.
The successive differences converge to
Example
The sequence converges to (Limits and Cauchy sequences of reals). Since , the differences are the reciprocals of the sequence , which diverges to because and does (The square roots diverge to ); the backward direction of For positive terms, null and divergence to are reciprocal then gives . Thus a difference of two sequences that both diverge can converge, so the algebra of limits has no difference rule for divergent sequences.
Facts & Assumptions
Given: For every natural the reals and , with (Sequences of reals: bounded, eventually, frequently, tails, subsequences), and the sequences , .
diverges to (The square roots diverge to ).
Reciprocal bridge: for a sequence with for every , converges to if and only if diverges to (For positive terms, null and divergence to are reciprocal).
Square roots: every real has a unique with , written (Square roots exist: a unique with ; the positives are ).
Divergence to : means that for every real there is with for all (Divergence to and to ).
Field arithmetic: every nonzero element has a multiplicative inverse, and with the inverse of identifies (Field).
Monotonicity of squaring on nonnegatives: for , and (Squaring is monotone on the nonnegatives).
Adding inequalities: if and then , and translation by a constant preserves the order (Order is preserved by adding a constant and by adding inequalities).
Archimedean property: for every real there is a natural number with (Every complete ordered field is Archimedean).
Canonical naturals: for every , and is strictly increasing, hence preserves non-strict order, on (Canonical naturals are positive and strictly increasing).
Inverses of positives are positive: implies (Inverses of positives are positive, and reciprocation reverses order).
Verification
For every , and by [F3], so the product of the two factors is by [F5] and algebra. Moreover : both roots are nonnegative by [F3], by [F10] with gives by [F6], and adding the nonnegative to it preserves the inequality by [F7], so by [F8]. Since , the identity exhibits as the inverse of by [F5].
For every , by [F3]; adding to this inequality gives . Translation preserves a non-strict inequality by [F7] in the strict case and by equality otherwise.
The shifted sequence diverges to : given a real , if then for every by [F3]; if , [F9] gives a natural with , and for every one has by [F10], hence ; since and , the equivalence of [F6] gives . So for every real the bound holds eventually, which is [F4].
The sequence diverges to : by [F1] the sequence does, so given a real there is with for all , and step 1.2 gives there; this is the condition of [F4].
Put . Since for every by step 1.1, [F11] gives for every , and by [F5]. Now diverges to by step 2.1, so the backward direction of the reciprocal bridge [F2], applied to the positive sequence , gives ; and by step 1.1, so . Moreover diverges to by [F1] and does by step 1.3, so is the difference of two sequences that both diverge to and yet converges to : the algebra of limits has no difference rule for divergent sequences.
Changing the first hundred terms leaves convergence to and boundedness intact
Example
Let and let be modified in its first hundred terms: for and for . Then and is bounded, indeed for every (Sequences of reals: bounded, eventually, frequently, tails, subsequences, Limits and Cauchy sequences of reals). The initial block is arbitrary prescribed data: convergence depends only on the tail (Convergence depends only on the tail), while the bound is read off the finite block and the tail separately. This is the worked form of the tail theorem.
Facts & Assumptions
Given: The sequence of The sequence converges to and the sequence for , for , where and are read in through the canonical-natural embedding (Sequences of reals: bounded, eventually, frequently, tails, subsequences, Canonical naturals are positive and strictly increasing).
Tails and convergence: converges to if and only if every tail converges to ; consequently, if two sequences agree from some index on, then either both converge to or neither does (Convergence depends only on the tail).
The reference null sequence: converges to , with every term positive (The sequence converges to ).
Discreteness: for all naturals , , so there is no natural strictly between and (Discreteness: is the immediate successor, Order on the natural numbers).
Canonical naturals: for every the element is positive, and is strictly increasing on , hence preserves non-strict order there; in particular and every maps to a positive real (Canonical naturals are positive and strictly increasing).
Reciprocals against : for one has , and (Reciprocals and order: against ).
Inverses of positives are positive: implies (Inverses of positives are positive, and reciprocation reverses order).
Absolute value: whenever (Absolute value in an ordered field).
Boundedness: is bounded when there is a real with for every (Sequences of reals: bounded, eventually, frequently, tails, subsequences).
The order on is total: for all naturals exactly one of , , holds ( is a linear order on ).
Verification
For every the second clause of the definition of gives , so and agree from index on.
By [F3] the sequence converges to ; by the agreement clause of [F2] the sequence converges to as well.
For : discreteness [F4] gives , and , so the real satisfies by [F5] and is positive; hence by [F8].
For : the real satisfies , so it is positive with by [F6] and by [F7]; since by [F5], transitivity gives , hence by [F8].
Every natural satisfies or by totality [F10], and steps 2.2 and 2.3 give in the two cases; so is a bound in the sense of [F9] and is bounded. With step 2.1 this shows that changing the first hundred terms leaves both convergence to and boundedness, with the explicit bound .
Two squeeze computations: and
Example
(i) The sequence converges to , squeezed between the constant sequence and . (ii) With the alternating sequence of FALSE: every bounded sequence converges, the sequence converges to , squeezed between and the constant . Both use The squeeze theorem; in (ii) the middle sequence is not presented as a sum of two sequences whose limits are known in advance, which is what the squeeze theorem is for.
Facts & Assumptions
Given: For every natural the reals with (Sequences of reals: bounded, eventually, frequently, tails, subsequences), the sequence , and the alternating sequence with , (FALSE: every bounded sequence converges); the sequences and .
Squeeze theorem: if eventually and , both converge to the same real , then converges to (The squeeze theorem).
Sum and scalar clauses of the algebra of limits: if converges to and converges to , then converges to ; and converges to for every real (Algebra of limits: sums, scalar multiples, products and quotients).
converges to and every is positive (The sequence converges to ).
The recursion , defines the alternating sequence (FALSE: every bounded sequence converges).
Induction principle (The principle of mathematical induction).
Square roots: every real has a unique with , written (Square roots exist: a unique with ; the positives are ).
Monotonicity of squaring on nonnegatives: for , (Squaring is monotone on the nonnegatives).
Inverses of positives: implies ; and implies (Inverses of positives are positive, and reciprocation reverses order).
Multiplying inequalities of nonnegatives: and imply (Multiplying inequalities of positives).
Sign rules: a product of two nonnegatives is nonnegative, and for , implies (Sign rules for products and monotonicity of multiplication).
Field arithmetic: every nonzero element has an inverse and multiplication distributes over addition (Field).
Order arithmetic: the positives are closed under addition and trichotomy holds, so is positive and (Ordered field, The multiplicative identity is positive).
Convergence: converges to when for every rational there is with for all (Limits and Cauchy sequences of reals).
Canonical naturals: and , hence , for every natural ; the map is strictly increasing, hence preserves non-strict order, on (Canonical naturals are positive and strictly increasing).
Absolute value: whenever , so (Absolute value in an ordered field).
Verification
For every real the constant sequence converges to : given a rational , at every index by [F15], so the threshold witnesses [F13].
The sequence converges to with every term positive.
By induction [F5], for every : ; and if then by [F4].
For every one has : by [F6], and , while by [F14] with , so the equivalence [F7] at the nonnegative pair gives .
For every , : put and , so that by [F9] and [F10], because both factors are nonnegative by [F14] and step 1.4; hence , and reciprocal reversal [F8] gives , while by [F8].
For every , the denominator is nonzero by [F14], and the middle sequence is bounded by the two claimed bounds: if then ; if then . In both cases : since by [F3], [F10] and [F12], one has . If the upper bound is attained and the lower inequality is strict; if the lower bound is attained and the upper inequality is strict.
The lower bound converges: by the scalar clause of [F2] applied to step 1.2, and by the sum clause applied to the constant sequence of step 1.1 and .
Squeeze for : the constant sequence converges to by step 1.1, converges to by step 1.2, and at every index by step 2.1; so [F1] gives .
Squeeze for : the lower bound converges to by step 2.3, the constant sequence converges to by step 1.1, and at every index by step 2.2; so [F1] gives .
Even and odd subsequences of converge to
Example
Let be the null sequence of The sequence converges to , let be the even strictly increasing index map constructed in FALSE: every bounded sequence converges, and let be its successor, the odd index map. Then the subsequences and both converge to (Subsequences inherit the limit): removing infinitely many indices from this already convergent sequence, even all odd ones, preserves its inherited limit. A convergent subsequence of a divergent sequence can exist, so no converse is asserted, and by A strictly increasing index map satisfies the index maps satisfy and , so the subsequences are genuine thinnings of the sequence.
Facts & Assumptions
Given: The null sequence (Sequences of reals: bounded, eventually, frequently, tails, subsequences), the index map with and constructed in FALSE: every bounded sequence converges, and the successor map .
converges to (The sequence converges to ).
The map satisfies , for every , and is strictly increasing (FALSE: every bounded sequence converges).
Subsequences inherit limits: if converges to and is strictly increasing, then converges to (Subsequences inherit the limit).
Growth of index maps: if is strictly increasing then for every (A strictly increasing index map satisfies ).
Consecutive comparisons suffice for strict increase: if for every , then is strictly increasing (A strictly increasing index map satisfies ).
Strictly increasing means whenever (Sequences of reals: bounded, eventually, frequently, tails, subsequences).
Discreteness: for naturals , (Discreteness: is the immediate successor).
Verification
converges to and is strictly increasing.
For every one has , so is strictly increasing: from and [F7] we get , that is at every , so [F5] applies.
The subsequence along converges to : [F3] applied to step 1.1 gives .
The subsequence along converges to : [F3] applied to step 1.1 and the strict increase of step 1.2 gives .
Both index maps grow at least like the identity: by [F4] applied to the strict increase of in step 1.1, and by [F4] applied to the strict increase of in step 1.2. Hence the even and odd subsequences of [F6] are genuine thinnings of and both converge to the inherited limit .
The absolute value of the limit, and the limit of the absolute value
Example
Let . Then , and (The absolute value is compatible with limits, Limits and Cauchy sequences of reals). Since converges to while converges to , the magnitude of the limit is recovered from the absolute values, but its sign is not. In particular, does not imply : the implication of The absolute value is compatible with limits cannot be reversed for the candidate limit .
Facts & Assumptions
Given: The sequences and , where is read in through the canonical-natural embedding (Sequences of reals: bounded, eventually, frequently, tails, subsequences).
converges to and every is positive (The sequence converges to ).
Sum clause of the algebra of limits: if converges to and converges to , then converges to (Algebra of limits: sums, scalar multiples, products and quotients).
Absolute values of limits: if converges to then converges to (The absolute value is compatible with limits).
Uniqueness of limits: if converges to and to , then (A sequence has at most one limit).
Absolute value: if and if ; so and because (Absolute value in an ordered field).
Reciprocals against : for , (Reciprocals and order: against ).
Translation invariance: implies (Order is preserved by adding a constant and by adding inequalities).
Convergence: converges to when for every rational there is with for all (Limits and Cauchy sequences of reals).
Field arithmetic: , , and (Field).
Trichotomy: for all reals exactly one of , , holds (Ordered field, Order on the reals).
Verification
The sequence converges to with every term positive.
For every real the constant sequence converges to : given a rational and any index , by [F5], so the threshold witnesses the condition of [F9].
The sum converges to by the sum clause [F2] applied to step 1.1 and to the constant sequence of step 1.2.
For every one has : positivity is [F1], and is the case of [F6]. Hence . If , the negative clause of [F5] gives ; if , both sides are . Thus at every index, including .
Hence : step 2.1 and [F3] give , and because by [F7] and [F8], so [F5] gives by [F10].
Consider the converse of [F3] for the candidate limit : it would assert that implies . Its hypothesis holds by step 3.1, but its conclusion would contradict from step 2.1, since uniqueness [F4] would force , whereas by [F7] and [F8]. Thus this witness refutes the converse for the nonzero candidate , while satisfying the forward implication for its actual limit .
The sum of two divergent sequences can converge:
Statement refuted
Refuted claim: if the sum of two sequences of reals converges, then and both converge.
The witnesses are and , where denotes the canonical natural of (Canonical naturals are positive and strictly increasing): diverges to and to , while the sum is the constant sequence , which converges to (Sequences of reals: bounded, eventually, frequently, tails, subsequences, Limits and Cauchy sequences of reals). This is the caution noted immediately after the algebra of limits: the clauses of Algebra of limits: sums, scalar multiples, products and quotients may not be read backwards.
Facts & Assumptions
Given: The sequences and , where the natural denotes its canonical image in (Sequences of reals: bounded, eventually, frequently, tails, subsequences, Canonical naturals are positive and strictly increasing).
Divergence to signed infinity: when for every real there is with for all ; and when for every real there is with for all (Divergence to and to ).
Archimedean property: for every real there is a natural number with (Every complete ordered field is Archimedean).
Canonical naturals: for every the element is positive, and is strictly increasing on , hence preserves non-strict order there (Canonical naturals are positive and strictly increasing).
Order arithmetic in an ordered field: means is positive, so if and only if ; and trichotomy holds for the strict order (Ordered field, Order on the reals).
Field arithmetic: every element has an additive inverse with , and (Field).
Absolute value: whenever , so (Absolute value in an ordered field).
Convergence: a sequence converges to when for every rational there is with for all (Limits and Cauchy sequences of reals).
Every convergent sequence is bounded: if converges to then there is with for every (Every convergent sequence is bounded).
Boundedness: is bounded when there is a real with for every (Sequences of reals: bounded, eventually, frequently, tails, subsequences).
A sequence diverging to or to is unbounded, and an unbounded sequence is not convergent — the latter being the contrapositive of [F8] (Divergence to and to , Every convergent sequence is bounded, Sequences of reals: bounded, eventually, frequently, tails, subsequences).
Sum rule of the algebra of limits: if converges to and converges to , then converges to (Algebra of limits: sums, scalar multiples, products and quotients).
Counterexample
diverges to : given a real , [F2] supplies a natural with , and for every the order preservation of [F3] gives , so ; this is the condition of [F1] with .
diverges to : given a real , apply [F2] to to get a natural with ; for every order preservation [F3] gives , and [F4] turns into , so for all .
For every the sum is , so the sum sequence is constantly .
The constant sequence converges to : for a rational and every , by [F6], so the threshold witnesses the condition of [F7].
Neither summand converges: by steps 1.1 and 1.2 the sequences diverge to signed infinity, so by [F10] they are unbounded in the sense of [F9] and do not converge. Meanwhile the sum converges to by step 2.1, although the convergence hypothesis of the sum rule [F11] fails for both summands; hence the sum rule cannot be read backwards and the refuted claim fails.
A null sequence times an unbounded sequence need not be null:
Statement refuted
Refuted claim: if converges to , then the product converges to for every sequence of reals.
The witnesses are and , where is read in through the canonical-natural embedding (Canonical naturals are positive and strictly increasing): is null (The sequence converges to ) and diverges to , but for every , so the product does not converge to : its distance from is at every index, and the rational test value never passes. The boundedness hypothesis of A null sequence times a bounded sequence is null therefore cannot be dropped; it is the only hypothesis that lemma uses beyond convergence of the null factor.
Facts & Assumptions
Given: The sequences and , where is the successor of read in through the canonical-natural embedding (Sequences of reals: bounded, eventually, frequently, tails, subsequences, Canonical naturals are positive and strictly increasing).
converges to and every term is positive (The sequence converges to ).
Divergence to : means that for every real there is with for all (Divergence to and to ).
Archimedean property: for every real there is a natural number with (Every complete ordered field is Archimedean).
Canonical naturals: for every the element is positive, and is strictly increasing on , hence preserves non-strict order there (Canonical naturals are positive and strictly increasing).
Order is compatible with addition in : for all naturals one has (Order is compatible with addition).
Field arithmetic: every nonzero element has a multiplicative inverse with (Field).
The boundedness hypothesis: if converges to and is bounded, then converges to (A null sequence times a bounded sequence is null).
Absolute value: whenever (Absolute value in an ordered field).
Convergence: a sequence of reals converges to when for every rational there is with for all (Limits and Cauchy sequences of reals).
Strict order: for all reals exactly one of , , holds, so is false (Ordered field).
The map is an embedding of ordered fields, so the rational is identified with the real (The rationals embed densely in the reals).
Boundedness: is bounded when there is a real with for every (Sequences of reals: bounded, eventually, frequently, tails, subsequences).
Counterexample
diverges to : given a real , [F3] supplies a natural with , and for every one has by [F5], hence by [F4], so ; this is exactly the condition of [F2] with .
converges to and every term is positive by [F1].
For every the factor is nonzero, and field arithmetic [F6] gives .
The product sequence is therefore constantly . At the rational test value , identified with its real image by [F12] and positive by [F11], the convergence condition of [F9] would require for all large ; but by [F8] and [F11], and is false by [F10]. So no threshold satisfies the test: the product does not converge to .
The refutation is complete: is null by step 1.2, diverges to by step 1.1, and the product fails to converge to by step 2.1. Moreover is not bounded in the sense of [F13]: if held for every , then for an index beyond the threshold belonging to the real of step 1.1 one would have both and . Since [F7] is true under the additional boundedness hypothesis with the same conclusion, the hypothesis is exactly what the counterexample removes, and it cannot be dropped.
The quotient rule needs a nonzero limit in the denominator:
Statement refuted
Refuted claim: if and and for every , then converges.
The witnesses are and : both converge — to and to respectively — and every is nonzero, but diverges to . The quotient clause of Algebra of limits: sums, scalar multiples, products and quotients requires the limit of the denominator to be nonzero, and this is the extremal failure of exactly that hypothesis. It also instantiates the reciprocal bridge of For positive terms, null and divergence to are reciprocal.
Facts & Assumptions
Given: The sequences and , where is read in through the canonical-natural embedding (Sequences of reals: bounded, eventually, frequently, tails, subsequences).
converges to and every is positive (The sequence converges to ).
Reciprocal bridge: for a sequence with for every , converges to if and only if diverges to (For positive terms, null and divergence to are reciprocal).
Divergence to : means that for every real there is with for all (Divergence to and to ).
Field arithmetic: every nonzero has a multiplicative inverse with and , multiplication is commutative, and (Field).
A sequence diverging to is unbounded, and an unbounded sequence is not convergent, the latter being the contrapositive of "convergent implies bounded" (Every convergent sequence is bounded, Divergence to and to , Sequences of reals: bounded, eventually, frequently, tails, subsequences).
Quotient clause of the algebra of limits: if converges to , converges to , and with for every , then converges to (Algebra of limits: sums, scalar multiples, products and quotients).
Every constant real sequence converges to its value: at every index for every rational (Limits and Cauchy sequences of reals).
Counterexample
The sequence is positive termwise and converges to by [F1]; the constant sequence converges to by [F7].
By the forward direction of the reciprocal bridge [F2], applied to the positive null sequence of step 1.1, the sequence diverges to in the sense of [F3].
At every index the quotient equals the reciprocal: , using and the involution of [F4] at the nonzero element .
Therefore diverges to by step 2.1, so by [F5] the quotient is unbounded and not convergent: the refuted claim fails. The quotient clause [F6] is not contradicted — its denominator-limit hypothesis fails here, since the limit of the denominator is by step 1.1, while its other hypotheses ( termwise) do hold.
The squeeze theorem needs the two bounds to share their limit
Statement refuted
Refuted claim: if eventually and and both converge, then converges.
The witnesses are the constant sequences and together with the alternating sequence of FALSE: every bounded sequence converges; the inequalities hold at every index, the two bounds converge to and respectively, and does not converge. So The squeeze theorem genuinely needs the two limit values to coincide, not merely the two bounds to exist.
Facts & Assumptions
Given: The unique sequences of reals with and for every (The recursion theorem), and the constant sequences , , (Sequences of reals: bounded, eventually, frequently, tails, subsequences).
The sequence is the alternating sequence of FALSE: every bounded sequence converges: it is introduced there by the recursion , (FALSE: every bounded sequence converges).
does not converge (FALSE: every bounded sequence converges).
Absolute value is even: (Basic properties of the absolute value).
Induction principle: if holds and implies for every , then holds for every natural (The principle of mathematical induction).
Absolute value: if and if ; so , and, for any , the equality forces when and when (Absolute value in an ordered field).
Trichotomy: for all reals exactly one of , , holds, and the order is transitive (Ordered field).
, so by adding constants and in particular , while (The multiplicative identity is positive, Order is preserved by adding a constant and by adding inequalities).
Convergence: converges to when for every rational there is with for all (Limits and Cauchy sequences of reals).
Squeeze theorem: if eventually and , both converge to the same real , then converges to (The squeeze theorem).
Counterexample
By induction [F4], for every : the base is by [F5], and if then by [F3] and the recursion [F1].
The constant sequences converge to their values: given a rational , the estimates and hold at every index by [F5], so the threshold witnesses the condition of [F8] in each case.
does not converge by [F2], and the two limits and are distinct by [F7].
Consequently for every : if then by [F5], while if then by [F5]; trichotomy [F6] makes the two cases exhaustive. In both cases by [F7].
Steps 2.1 and 1.2 give at every index (hence eventually) with and , while by step 1.3 the middle sequence does not converge; since the two bound limits differ, the equal-limit hypothesis of [F9] fails and the squeeze gives no conclusion — and indeed the conclusion is false.
Geometric sequences: the complete classification for every real ratio
Example
For every real , let for natural , using the integer powers of Integer powers , so even when , and . This notation is valid for negative real ratios and is not rational exponentiation of a negative base. The complete classification is: if , then ; if , the sequence is constantly and converges to ; if , its even and odd subsequences are constantly and , so it is bounded but divergent; if , then ; if , then , while the even subsequence diverges to and the odd subsequence to , and the whole sequence neither converges nor diverges to either signed infinity. Consequently converges exactly when . Here signed-infinity assertions mean Divergence to and to , not a finite limit value. Quantitative checks: if and , then for every natural , and for one has ; if and , then . The weak Bernoulli estimates have equality for and are strict for . Thus and are both null, diverges positively, and grows in absolute value while alternating sign.
Facts & Assumptions
Given: A real , the sequence with integer powers (Integer powers , Sequences of reals: bounded, eventually, frequently, tails, subsequences), the alternating sequence with , and its index map with , (FALSE: every bounded sequence converges), and .
Integer powers: and for every real and every natural (Integer powers ).
Power laws: , and for all naturals ; and if then for every (Laws of integer exponents).
Signs of powers: if then , and if then (Monotonicity of and of ).
Bernoulli's inequality: for and every natural , , with equality if and only if or (Bernoulli's inequality ).
Archimedean property: for every real there is a natural number with (Every complete ordered field is Archimedean).
Inverses of positives: implies ; and implies (Inverses of positives are positive, and reciprocation reverses order).
Canonical naturals: is strictly increasing, hence preserves non-strict order, on (Canonical naturals are positive and strictly increasing).
Absolute value: , , , if and only if , and for (Basic properties of the absolute value, Absolute value in an ordered field).
A product with a zero factor vanishes: (Multiplication by zero: ).
The alternating sequence: is the unique sequence with and (FALSE: every bounded sequence converges).
The index map of the same item satisfies , , is strictly increasing, and has for every (FALSE: every bounded sequence converges).
Growth of index maps: if is strictly increasing then for every (A strictly increasing index map satisfies ).
Consecutive comparisons suffice: if for every then is strictly increasing (A strictly increasing index map satisfies ).
Discreteness: for naturals , (Discreteness: is the immediate successor).
Subsequences inherit limits, and the divergence test: if a sequence converges to and is strictly increasing, then the subsequence along converges to ; consequently, if two subsequences converge to different limits the sequence does not converge (Subsequences inherit the limit).
Every convergent sequence is bounded (Every convergent sequence is bounded).
Divergence to and to means, respectively, that for every real one has eventually and eventually (Divergence to and to ).
Trichotomy, and implies (Ordered field).
Scaling a strict inequality by a positive factor: if then (Sign rules for products and monotonicity of multiplication).
Convergence: converges to when for every rational there is with for all (Limits and Cauchy sequences of reals).
Field arithmetic: multiplication is associative and commutative, it distributes over addition, and every nonzero element has a multiplicative inverse (Field).
Adding a constant preserves the strict order: implies (Order is preserved by adding a constant and by adding inequalities).
Induction principle: if a property satisfies and for all , then holds for all (The principle of mathematical induction).
Boundedness: is bounded when there is a real with for every ; it is unbounded otherwise (Sequences of reals: bounded, eventually, frequently, tails, subsequences).
Verification
Absolute values of powers: for every real and every one has , by induction. The base case is by [F1], [F8] and [F9]; and assuming for a fixed , the recursion [F1] and multiplicativity [F9] give . Hence by the induction principle [F23] the identity holds for every ; in particular for every real and every .
Growth for bases above : let be real and put . Bernoulli [F4] gives for every , with equality exactly when , since . Given any real , apply [F5] to the real to get a natural with ; then , so for every the order preservation [F7] and scaling by [F19] give , hence . Therefore in the sense of [F17].
The case : here by [F1], and for every by induction, since and a product with a zero factor vanishes [F10]. Given a rational , for every we have by [F9], so by [F20] with threshold .
Constant sequences converge to their values: for every real , given a rational one has at every index by [F9], so the threshold witnesses [F20].
Alternating powers: for every positive real and every , by induction: the base case is , and if then by [F1], [F2], [F11] and field arithmetic [F21]. Alongside, for every by induction: , and by [F9] and [F11].
The index maps: is strictly increasing with and [F25], so [F12]; the map is strictly increasing, because gives by [F14] and [F13], and then by [F12]; moreover by [F11].
The case : put and , positive by [F6]. Bernoulli [F4] applied to gives for every , with equality exactly when ; since by [F2], uniqueness of inverses [F21] gives by the reciprocal reversal [F6], both sides positive by [F3]; for also , so and by step 1.1. Now let a rational be given; [F5] applied to supplies a natural with , so ; for every the order preservation [F7] and scaling by [F19] give , hence by [F6], and therefore by [F9]. So .
The case : then for every , by induction from and by [F1]; hence by step 1.4.
The case : by step 1.5 with one has for every . The even subsequence along is constantly and the odd subsequence along is constantly : and by step 1.6, and both index maps are strictly increasing by step 1.6, so these are subsequences in the sense of [F15] converging to and to respectively. The limits differ: since by [F8] and adding preserves the order by [F22], so by [F18], and the divergence test [F15] shows that does not converge. It is bounded in the sense of [F24], since for every by step 1.1, and it diverges to neither signed infinity: at the bound the condition of [F17] fails at every index, and at the condition fails at every index.
The case : with , step 1.2 gives , and for every ; hence in the sense of [F17]. Since the terms are positive and eventually exceed every real bound, the sequence is unbounded and cannot converge by [F16].
The case : put . By step 1.5, for every , so by step 1.1, step 1.2 and [F9]; since exceeds every real eventually, no real satisfies for all , so is unbounded in the sense of [F24] and therefore not convergent by [F16]. Along the even index map, by step 1.6: given a real , step 1.2 gives with for all , while for by step 1.6, so for all , which is divergence of that subsequence to by [F17]. Along the odd index map, by step 1.6: given a real , step 1.2 supplies such that for , and for by step 1.6; hence , so for every , so the odd subsequence diverges to by [F17]. Finally the whole sequence fails both signed-infinity tests at : the condition eventually fails because at the arbitrarily large indices , and the condition eventually fails because at the arbitrarily large indices ; so it neither converges nor diverges to either signed infinity.
The cases are exhaustive: by trichotomy [F18] every real satisfies exactly one of , , , , , and these have been disposed of in steps 2.5, 2.3, 2.1 and 1.3 (for , splitting at ), 2.2 and 2.4 respectively. So converges exactly when : to for by steps 1.3 and 2.1, and to for by step 2.2, while it diverges for , for and for . The quantitative bounds are those derived in steps 1.2 and 2.1 — and for when , and when — and the displayed numerical instances , (null), (diverging to ) and (absolute values diverging, signs alternating) are the substitutions and into the proved clauses.
Sources
- John K. Hunter, An Introduction to Real Analysis (complete author-hosted lecture notes, 307 pp.)
- Jiri Lebl, Basic Analysis I: Introduction to Real Analysis, Volume I (author-hosted complete book PDF)
- John K. Hunter, An Introduction to Real Analysis (complete author-hosted lecture notes)
- Jiri Lebl, Basic Analysis I: Introduction to Real Analysis, Volume I