For , the telescoping arithmetic means satisfy
because is a bounded sequence. Hence for every , and passage to the limit gives . Taking shows . The proved Hahn-Banach distance formula therefore yields a bounded linear functional on the real l-infinity sequence space with
We verify that this single linear functional also has the two remaining properties.
Every finitely supported sequence lies in : if for , set for and afterwards. Then is a bounded sequence and . Consequently . The finitely supported sequences are dense in the space of sequences converging to zero for the supremum norm, by truncation, so continuity of the bounded linear functional gives . For in the real convergent sequence space, with ordinary limit , we have . Therefore .
For every bounded sequence , and . Linearity gives , as required. Thus the same satisfies all three conditions and is a Banach limit.
The usual positivity condition for a Banach limit follows automatically here. If and , then . Since , we have , whence . The case is immediate. This explains why the constructed bounded linear functional is also a positive linear functional extending the ordinary limit while remaining invariant under the left shift on bounded sequences.
The Bolzano-Weierstrass theorem states that every bounded sequence of real numbers has a convergent subsequence. We first use it to show that a continuous function on is bounded above. Otherwise, choose with . A convergent subsequence exists, with because the interval is closed. Continuity would give , contradicting .
Let , which is finite. By the definition of supremum, there are with . Another application of the Bolzano-Weierstrass theorem gives a subsequence . By continuity,
Thus the supremum is actually attained:
This proves the maximum part of the extreme value theorem from sequential compactness rather than assuming it.
Now suppose on . Applying the mean value theorem to shows that is strictly decreasing. At a local maximum of a differentiable function, the left difference quotients are nonnegative and the right difference quotients are nonpositive; existence of the derivative forces . A strictly decreasing function has at most one zero. Therefore
If that zero exists, is positive to its left and negative to its right, so the local maximum is also a global maximum.
For the uniform bound by , define
Its derivative is , so is strictly decreasing by the mean value theorem. Comparing with gives
Because , this makes negative at sufficiently large positive and positive at sufficiently large negative . The function is continuous, since it is differentiable; the intermediate value theorem supplies a zero between such points. Its strict decrease makes this zero unique. Again using the mean value theorem for , the derivative signs imply that increases up to and decreases after :
This illustrates uniform negative curvature and global maximization.
Merely requiring does not force existence. Take
Then and , but is strictly increasing, approaches as , and never equals . The answer to the final question is no, even for a function bounded above:
The stronger uniform curvature assumption prevents this behaviour. Here at the end where the supremum is approached, so no uniform negative bound of that kind is available.
Convergence at implies that the terms form a bounded sequence: for some . If and , then
Comparison with the convergent geometric series proves absolute convergence. The case is vacuous.
The radius of convergence is the number such that a power series converges absolutely for and diverges for , with boundary behavior considered separately.
Take
Then is the convergent alternating harmonic series, whereas is the divergent harmonic series. Thus converges at a point of modulus one and diverges at another point of modulus one. It follows that
The radius of convergence of the power series is
If , choose with . Since , those terms are bounded, say . Therefore
and comparison with a geometric series proves absolute convergence. If , convergence would imply absolute convergence at every smaller modulus by the same argument, contradicting the definition of .
If , convergence of implies absolute convergence of whenever . Letting approach the radius of the -series shows that .
Condition (i) is insufficient because the allowed limit may be zero. For example, is nonzero and converges to zero, whereas does not converge in .
Choose a closed interval containing the bounded sequence. Bisect it and retain a half containing infinitely many terms; repeat. The resulting intervals are nested and their lengths tend to zero. By the nested interval theorem they have one common point , and choosing successively indexed terms from these intervals produces a subsequence converging to . This proves the Bolzano-Weierstrass theorem.
Let be a Cauchy sequence in the operator norm. For each ,
so is a Cauchy sequence. Completeness of the Banach space permits the definition
. Pointwise passage to the limit proves that is a linear. A norm-Cauchy sequence is a bounded sequence, say , and therefore
, so is bounded. Finally, letting in
gives
. Thus in operator norm and
is Banach.