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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 X be a topological vector space and \mathcal{U} a convex neighbourhood of 0.
Define
\mathcal{V} = \bigcap_{\lambda \in S_1} \lambda \mathcal{U}.
Where S_1 are the complex numbers of modulus one.
Use the compactness of S_1 to prove that \mathcal{V} is a balanced convex neighbourhood of zero.
Proving that \mathcal{V} is balanced an convex is straightforward and doesn't require the compactness of S_1. I haven't been able to prove that \mathcal{V} 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 X be a topological vector space and \mathcal{U} a convex neighbourhood of 0.
Define
\mathcal{V} = \bigcap_{\lambda \in S_1} \lambda \mathcal{U}.
Where S_1 are the complex numbers of modulus one.
Use the compactness of S_1 to prove that \mathcal{V} is a balanced convex neighbourhood of zero.
Proving that \mathcal{V} is balanced an convex is straightforward and doesn't require the compactness of S_1. I haven't been able to prove that \mathcal{V} is still a neighbourhood of zero though.Thanks,
A_B