- #1
- 93
- 1
Hi,
There is a guided exercise in the course of functional analysis that I am following where we have to prove that a topological vectors space is seminormed if and only if it is locally convex. There is one step in te proof that I can't figure out.
Let [itex]X[/itex] be a topological vector space and [itex]\mathcal{U}[/itex] a convex neighbourhood of [itex]0[/itex].
Define
[tex]\mathcal{V} = \bigcap_{\lambda \in S_1} \lambda \mathcal{U} [/tex].
Where [itex]S_1[/itex] are the complex numbers of modulus one.
Use the compactness of [itex]S_1[/itex] to prove that [itex]\mathcal{V}[/itex] is a balanced convex neighbourhood of zero.
Proving that [itex]\mathcal{V}[/itex] is balanced an convex is straightforward and doesn't require the compactness of [itex]S_1[/itex]. I haven't been able to prove that [itex]\mathcal{V}[/itex] is still a neighbourhood of zero though.
Thanks,
A_B
There is a guided exercise in the course of functional analysis that I am following where we have to prove that a topological vectors space is seminormed if and only if it is locally convex. There is one step in te proof that I can't figure out.
Let [itex]X[/itex] be a topological vector space and [itex]\mathcal{U}[/itex] a convex neighbourhood of [itex]0[/itex].
Define
[tex]\mathcal{V} = \bigcap_{\lambda \in S_1} \lambda \mathcal{U} [/tex].
Where [itex]S_1[/itex] are the complex numbers of modulus one.
Use the compactness of [itex]S_1[/itex] to prove that [itex]\mathcal{V}[/itex] is a balanced convex neighbourhood of zero.
Proving that [itex]\mathcal{V}[/itex] is balanced an convex is straightforward and doesn't require the compactness of [itex]S_1[/itex]. I haven't been able to prove that [itex]\mathcal{V}[/itex] is still a neighbourhood of zero though.
Thanks,
A_B