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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7: Locally Convex <strong>Topological</strong> <strong>Vector</strong> <strong>Spaces</strong> 79<br />
Theorem 7.25 The topology of any locally convex topological vector space is<br />
determined by a family of seminorms. Indeed, this family may be taken to be the<br />
family P of Minkowski functionals associated with all convex, absorbing, balanced<br />
neighbourhoods of 0.<br />
Proof We have seen that in every locally convex topological vector space (X,T), 0<br />
possesses a neighbourhood base of convex, balanced (absorbing) neighbourhoods.<br />
Let P be the family of associated Minkowski functionals. Denote by T P the vector<br />
topology on X determined by P. We must show that T P = T. Let p ∈ P. Then,<br />
by definition, p is bounded on some neighbourhood of 0. Indeed, p = p C for some<br />
(convex, balanced and absorbing) neighbourhood C of 0 and so C ⊆ {x ∈ X :<br />
p C (x) ≤ 1}. That is to say, if x ∈ C, then p(x) = p C (x) ≤ 1. Thus p is bounded<br />
on the neighbourhood C of 0 and so is continuous, by Theorem 7.8. Since T P is<br />
the weakest vector topology on X such that each member of P is continuous, we<br />
deduce that T P ⊆ T.<br />
On the other hand, suppose that U is a convex, balanced neighbourhood of<br />
0 with respect to the topology T. Then the interior of U is a convex, balanced<br />
neighbourhood of 0, so we may assume that U is open. Let x ∈ U, so that U is<br />
a neighbourhood of x. By continuity of scalar multiplication, there is δ > 0 such<br />
that rx ∈ U whenever |r −1| < δ. In particular, there is r > 1 such that rx ∈ U,<br />
(x) = inf{s > 0 : x ∈ sU} < 1 for any x ∈ U. It follows<br />
i.e., x ∈ 1<br />
rU. Hence pU from Theorem 7.17 that U = {x : pU (x) < 1}. This means that U = p −1<br />
U ((−∞,1))<br />
is in TP . Now, any non-empty T-open set is a union of translations of open convex,<br />
balanced neighbourhoods of 0, so we conclude that any such set is also TP-open, i.e., T ⊆ TP , and we have equality, as required.<br />
Proposition 7.26 A subset B of a locally convex topological vector space (X,T)<br />
is bounded if and only if p(B) is a bounded subset of R for each continuous<br />
seminorm p on X.<br />
Proof Suppose that B is bounded and p is a continuous seminorm on X. Then<br />
U = {x : p(x) < 1} is a neighbourhood of 0 in X. Since B is bounded, there is<br />
s > 0 such that B ⊆ sU. But then if x ∈ B, we have (1/s)x ∈ U and therefore<br />
p((1/s)x) < 1. Thus p(x) < s for all x ∈ B and p(B) is bounded.<br />
Conversely, supposethatp(B)isboundedforeachcontinuousseminormponX<br />
and let U be a neighbourhood of 0. Since (X,T) is locally convex, there is a family<br />
of seminorms P on X which determine the topology T, by Theorem 7.25. Thus<br />
there is some r > 0 and seminorms p 1 ,...,p n ∈ P such that V(0,p 1 ,...,p n ;r) ⊆<br />
U. Now, each member of P is continuous and so, by hypothesis, each p i (B) is<br />
bounded, so there is some d > 0 such that p i (x) ≤ d for x ∈ B and 1 ≤ i ≤ n.