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FUNCTIONAL ANALYSIS LECTURE NOTES CHAPTER 3. BANACH ...

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6 CHRISTOPHER HEIL<br />

Proposition 1.22. Let X be a normed space. Prove that X is a Banach space if and only<br />

if every absolutely convergent series in X converges in X.<br />

Proof. ⇒. This is Exercise 1.21.<br />

⇐. Suppose that every absolutely convergent series is convergent. Let {fn}n∈N be a<br />

Cauchy sequence in X. By Exercise 1.18, there exists a subsequence {fnk }k∈N such that<br />

fnk+1 − fnk < 2−k for every k. The series <br />

(fnk+1 k − fnk ) is absolutely convergent,<br />

because<br />

∞<br />

− fnk ≤<br />

∞<br />

2 −k = 1 < ∞.<br />

fnk+1<br />

k=1<br />

k=1<br />

By hypothesis, we conclude that <br />

(fnk+1 k − fnk ) converges in X, say to f. In terms of the<br />

partial sums, this says that<br />

fnk+1 − fn1 =<br />

k<br />

j=1<br />

(fnj+1<br />

− fnj ) → f as k → ∞,<br />

or fnk → g = f +fn1 as k → ∞. Thus {fn}n∈N is a Cauchy sequence which has a subsequence<br />

that converges to g. It therefore follows from Exercise 1.17 that fn → g. Therefore X is<br />

complete. <br />

Example 1.23 (The Harmonic Series). To illustrate the difference between convergence and<br />

absolute convergence, consider the one-dimensional case, i.e., X = F, the field of scalars. Let<br />

xn = 1 <br />

. Then n n xn = 1<br />

n n is the harmonic series, and the partial sums sN = N n=1<br />

this series are unbounded. Thus the harmonic series does not converge. Since sN → ∞, we<br />

usually say that <br />

<br />

1<br />

1<br />

n diverges to infinity, and write n n = ∞. n<br />

On the other hand, consider the alternating series 1<br />

n (−1)n . Since the terms alternate<br />

n<br />

signs and since 1 → 0, it follows that this series does converge to a finite scalar (in fact, it<br />

n<br />

converges to − ln 2). However, it does not converge absolutely.<br />

Definition 1.24 (Unconditionally Convergent Series). Let X be a Banach space and let<br />

{fn}n∈N be a sequence of elements of X. The series f = ∞ n=1 fn is said to converge unconditionally<br />

if every rearrangement of the series converges. That is, f = ∞ n=1 fn converges<br />

unconditionally if for each bijection σ : N → N the series<br />

∞<br />

converges.<br />

n=1<br />

fσ(n)<br />

Remark 1.25. It is not obvious, but it can be shown that if ∞ n=1 fσ(n) is unconditionally<br />

convergent, then every rearrangement of the series must converge to the same sum, i.e., there<br />

is a single f such that f = ∞ n=1 fσ(n) for every permutation σ.<br />

1<br />

n of

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