Choose the sequenceEvery even index is a peak of a sequence , since its value is and all later values are at most . Every odd index is a peak of a sequence for the same reason. Both sets of indices are infinite.
A sequence of real numbers is a convergent sequence with limit of a sequence whenDivergence to positive infinity meansIn both definitions the same must control every later term. The second condition is not convergence to a real number.
False. Take the positive sequence . Thenbut , so it has no finite limit of a sequence. Successive ratios close to one do not prevent cumulative growth.
False. Choose the positive sequenceIt has limit of a sequence one, but Bernoulli's inequality givesThus is not a bounded sequence.
A sequence has limit of a sequence ifFor the reciprocal rule, the required condition is . Indeed, eventually , so . The reciprocals are then defined on this tail, andA finite number of zero initial terms does not affect this tail limit of a sequence; if a reciprocal sequence is required at every index, those terms must be excluded or assigned arbitrary values separately.
The tail is a monotone sequence bounded below by zero. The bounded monotone sequence theorem therefore gives . Taking the limit of a sequence in yields , so . The reciprocal rule from part (a) permits passage to the limit of a sequence in the recurrence relation:Multiplication by givesThis proves existence of the positive square root without assuming that existence when constructing the sequence.
Only (ii) is necessarily true. Every real satisfies , so (ii) holds automatically. For a single counterexample to (i) and (iii), choose and . The recurrence relation then gives the nonzero periodic sequenceHere , disproving (i), and , disproving (iii). This counterexample satisfies the requirement that no iterate is zero.
A real or complex sequence is a Cauchy sequence ifFor , the complex modulus givesThus the same works for both coordinate Cauchy sequences. Conversely, if both real coordinate Cauchy sequences converge to and , then . This proves the needed completeness for complex numbers from the assumed completeness of the real numbers.
Now suppose converges. Its real partial sums form a Cauchy sequence. Given , sufficiently late tails therefore satisfy . For , the triangle inequality yieldsThe complex partial sums are a Cauchy sequence, hence converge by the coordinate argument. Therefore absolute convergence implies convergence for a complex series.
The sequence converges by uniform convergence to on ifThe index must work simultaneously for every .
Given , choose so large that for every . The continuity of this one fixed at gives such that and imply . The triangle inequality then givesThus is continuous at , with continuity understood relative to . This is the pointwise form of the uniform limit theorem.
The polynomial factors as , so is a multiple root of multiplicity two. The Newton root-finding iteration isFor , cancelling a factor givesThis expression extends continuously to . Let . On this closed interval,Thus is increasing, andBy the mean value theorem, for all . The contraction mapping theorem states that a contraction mapping from a nonempty complete metric space into itself has a unique fixed point, and every fixed-point iteration converges to it. The closed interval with ordinary Euclidean distance is complete, and , soIn fact . The Newton iteration at a multiple root here has linear convergence, since . Thus the convergence assertion is true for the simplified fixed-point iteration, and for the usual Newton root-finding iteration that stops upon reaching an exact root of a polynomial. If one insists on applying the unsimplified quotient at every step, it is undefined for the allowed starting value , since both and vanish there; that literal version of an infinite sequence requires the stated stopping convention or continuous extension.
Start with . At stage , form the midpoint . If , stop; for a sequence defined for all later indices, repeat forever. Otherwise retain the half-interval with opposite endpoint signs: set if , and otherwise. This is the bisection method.
If it never stops, the closed intervals are nested, retain , and have lengthsBy the nested interval theorem, there is a unique real in their intersection. In particular, , , and the sequence of midpoints satisfiesSince is continuous, . All these products are negative, so their limit of a sequence is nonpositive. Therefore , forcing . We have proved that the sequence is a convergent sequence whose limit of a sequence is a zero of a function:The error bound applies at every stage before exact termination; after termination the error is zero. The intermediate value theorem also guarantees a zero of a function in each retained interval, but the nested-interval argument identifies the particular one to which the sequence of midpoints converges.
For the first sequence, . The squeeze theorem gives , and every subsequence of a convergent sequence has the same limit of a sequence. Thus its set of subsequential limits is .
For the second sequence, the four possible sine values giveThe even-indexed subsequence is constantly one, and , so both zero and one occur as subsequential limits. A convergent subsequence is bounded, so it contains only finitely many terms with . Of the remaining three residue classes, at least one occurs infinitely often. The corresponding further subsequence has limit of a sequence zero or one; the subsequence rule forces the original convergent subsequence to have that same limit of a sequence. Therefore the exact answer is . Divergence to along is not a finite subsequential limit.
The Bolzano-Weierstrass theorem states that every bounded sequence of real numbers has a convergent subsequence. It is enough to select infinitely many terms of the tangent sequence that stay uniformly bounded.
For each positive integer , choose , using the floor function. Then . Moreover , so these are strictly increasing indices. By the period and monotonicity of the tangent on ,Thus is a bounded subsequence. Applying the Bolzano-Weierstrass theorem to it gives a convergent subsequence, which is also a subsequence of the original sequence. Such a convergent subsequence therefore exists.
The sequence does not converge. For , the largest prime factor is , while the sum of prime factors with multiplicity is . This subsequence therefore has ratio .
There are infinitely many prime numbers: if there were only , a prime factor of would be absent from the list. Listing the prime numbers in increasing order gives a subsequence of indices for which , so the ratio is constantly one. Every subsequence of a convergent sequence has the same limit of a sequence. The two distinct subsequential limits rule out convergence.
Let be a bounded function, with . A partition of an interval is ; its mesh of a partition is . Choose arbitrary tags . The corresponding Riemann sum isThe Riemann sum convergence theorem says that is Riemann integrable with Riemann integral if and only if, for every , some satisfiesfor every partition of an interval with and every permitted choice of tags. Equivalently, along every sequence of such tagged partitions of an interval with mesh of a partition tending to zero, the Riemann sums tend to . Both the shrinking mesh of a partition and freedom of tags are essential.
No: the unbounded length of the domain matters. Let and define on . These are continuous functions with compact support, and , so the sequence has uniform convergence to zero. However, the change of variables givesThe integral of the limit is zero. The supports widen as the heights decrease; a uniform bound on the heights gives no bound on the total area over an infinite interval.
Concentrating bumps, spreading bumps, and a one-sided approximate identity
. Left: the examples in part (b)(i) converge pointwise to zero while their integrals remain one. Middle: the examples in part (b)(iii) have uniform convergence to zero but retain integral one by spreading across the real line. Right: the nonnegative functions in part (c) concentrate their mass at zero and recover the endpoint value of a continuous function. Details.The cobweb plot uses the curve and the diagonal . From a point on the diagonal, a vertical step to the curve computes the next iterate; a horizontal step returns its value to the diagonal.
For , , so . Thus a start below gives a strictly increasing sequence bounded above by . For the inequalities reverse to , giving a strictly decreasing sequence bounded below by . Both types of staircase approach the same intersection.
The bounded monotone sequence theorem proves existence of a limit, and continuity then makes it a nonnegative fixed point. Part (i) givesThis proves the global convergence of a square-root iteration; the graph below illustrates both cases without relying on a finite numerical sample as proof.
Iteration staircases approaching the positive fixed point from below and from above
. Details. A constant sequence must satisfy the fixed point equation . The square root forces . Squaring gives , so the negative algebraic root is inadmissible. HenceStarting at produces the constant sequence .
The difference quotient at zero isIf , its absolute value is at most , so is differentiable at zero with derivative .
The bound gives when . If , given any , choose . Then impliesthe inequality also holds at . This proves continuity using the epsilon-delta definition of continuity.
For necessity, take the positive sequence . Then , so . For this equals ; for it tends to . In neither case does it tend to , so continuity fails. ConsequentlyThis is an instance of the general continuity and differentiability thresholds for a damped oscillation.

