Basic Analysis – Gently Done Topological Vector Spaces
Basic Analysis – Gently Done Topological Vector Spaces
Basic Analysis – Gently Done Topological Vector Spaces
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8: Banach <strong>Spaces</strong> 91<br />
for any t,s ∈ C, and f,g ∈ X. Hence φ : X/M → C is linear. Furthermore,<br />
φ([f]) = φ([g]) ⇐⇒ f(0) = g(0)<br />
⇐⇒ f ∼ g<br />
⇐⇒ [f] = [g]<br />
and so we see that φ is one-one.<br />
Given any s ∈ C, there is f ∈ X with f(0) = s and so φ([f]) = s. Thus φ is<br />
onto. Hence φ is a vector space isomorphism between X/M and C, i.e., X/M ∼ = C<br />
as vector spaces.<br />
Now, it is easily seen that M is closed in X with respect to the � · � ∞ -norm<br />
and so X/M is a Banach space when given the quotient norm. We have<br />
�[f]� = inf{�g� ∞ : g ∈ [f]}<br />
= inf{�g� ∞ : g(0) = f(0)}<br />
= |f(0)| (take g(s) = f(0) for all s ∈ [0,1]).<br />
That is, �[f]� = |φ([f])|, for [f] ∈ X/M, and so φ preserves the norm. Hence<br />
X/M ∼ = C as Banach spaces.<br />
Now consider X equipped with the norm �·� 1 . Then M is no longer closed in<br />
X. We can see this by considering, for example, the sequence (gn ) given by<br />
�<br />
ns, 0 ≤ s ≤ 1/n<br />
gn (s) =<br />
1, 1/n < s ≤ 1.<br />
Then g n ∈ M, for each n ∈ N, and g n → 1 with respect to �·� 1 , but 1 /∈ M. The<br />
‘quotient norm’ is not a norm in this case. Indeed, �[f]� = 0 for all [f] ∈ X/M.<br />
To see this, let f ∈ X, and, for n ∈ N, set h n (s) = f(0)(1−g n (s)), with g n defined<br />
as above. Then h n (0) = f(0) and �h n � 1 = |f(0)|/2n. Hence<br />
which implies that<br />
inf{�g� 1 : g(0) = f(0)} ≤ �h n � 1 ≤ |f(0)|/2n<br />
�[f]� = inf{�g� 1 : g ∈ [f]} = 0.<br />
The ‘quotient norm’ on X/M assigns ‘norm’ zero to all vectors.<br />
Next we discuss linear mappings between normed spaces. These are also called<br />
linear operators.<br />
Definition 8.9 The linear operator T : X → Y from a normed space X into a<br />
normed space Y is said to be bounded if there is some k > 0 such that<br />
�Tx� ≤ k�x�<br />
for all x ∈ X. If T is bounded, we define �T� to be<br />
�T� = inf{k : �Tx� ≤ k�x�, x ∈ X}.<br />
We will see shortly that � · � really is a norm on the set of bounded linear<br />
operatorsfrom X into Y. The following result follows directlyfrom thedefinitions.