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Measure, Integration & Real Analysis, 2021a

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Section 6C Normed Vector Spaces 165<br />

From now on, all metric space notions in the context of a normed vector space<br />

should be interpreted with respect to the metric introduced in the previous result.<br />

However, usually there is no need to introduce the metric d explicitly—just use the<br />

norm of the difference of two elements. For example, suppose (V, ‖·‖) is a normed<br />

vector space, f 1 , f 2 ,... is a sequence in V, and f ∈ V. Then in the context of a<br />

normed vector space, the definition of limit (6.8) becomes the following statement:<br />

lim<br />

k→∞ f k = f means lim<br />

k→∞<br />

‖ f k − f ‖ = 0.<br />

As another example, in the context of a normed vector space, the definition of a<br />

Cauchy sequence (6.12) becomes the following statement:<br />

A sequence f 1 , f 2 ,...in a normed vector space (V, ‖·‖) is a Cauchy sequence<br />

if for every ε > 0, there exists n ∈ Z + such that ‖ f j − f k ‖ < ε for<br />

all integers j ≥ n and k ≥ n.<br />

Every sequence in a normed vector space that has a limit is a Cauchy sequence<br />

(see 6.13). Normed vector spaces that satisfy the converse have a special name.<br />

6.37 Definition Banach space<br />

A complete normed vector space is called a Banach space.<br />

In other words, a normed vector space<br />

V is a Banach space if every Cauchy sequence<br />

in V converges to some element<br />

of V.<br />

The verifications of the assertions in<br />

Examples 6.38 and 6.39 below are left to<br />

the reader as exercises.<br />

In a slight abuse of terminology, we<br />

often refer to a normed vector space<br />

V without mentioning the norm ‖·‖.<br />

When that happens, you should<br />

assume that a norm ‖·‖ lurks nearby,<br />

even if it is not explicitly displayed.<br />

6.38 Example Banach spaces<br />

• The vector space C([0, 1]) with the norm defined by ‖ f ‖ = sup| f | is a Banach<br />

space.<br />

[0, 1]<br />

• The vector space l 1 with the norm defined by ‖(a 1 , a 2 ,...)‖ 1 = ∑ ∞ k=1 |a k| is a<br />

Banach space.<br />

6.39 Example not a Banach space<br />

• The vector space C([0, 1]) with the norm defined by ‖ f ‖ = ∫ 1<br />

0<br />

| f | is not a<br />

Banach space.<br />

• The vector space l 1 with the norm defined by ‖(a 1 , a 2 ,...)‖ ∞ = sup<br />

k∈Z + |a k | is<br />

not a Banach space.<br />

<strong>Measure</strong>, <strong>Integration</strong> & <strong>Real</strong> <strong>Analysis</strong>, by Sheldon Axler

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