Linear Functionals & Inner Products: Is This Theorem True?

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Is this "theorem" true? Relationship between linear functionals and inner products

Suppose we have a finite dimensional inner product space V over the field F. We can define a map from V to F associated with every vector v as follows:
\underline{v}:V\rightarrow \mathbb{F}, \ w \mapsto \langle w,v\rangle
Clearly this is a linear functional.

My question is whether all linear functionals from V to F are of this form. That is, is it true that for every f in V*, there exists a unique v such that f = v?

I have a felling that it is, but I can't prove it.
 
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It is true for any Hilbert space (including infinite dimensional). The important thing is completeness. This is called the Riesz representation theorem.
 


It is quite easy to see for finite dimensional spaces. If \{e_1,...,e_n\} are a basis for V, then we can define

\varepsilon_i:V\rightarrow \mathbb{F}:v\rightarrow <e_i,v>

The \varepsilon_i are easily seen to be linearly independent. Indeed, if \alpha_i are such that

\sum_{i=1}^n \alpha_i\varepsilon_i=0

then for all v in V holds that

0=\sum_{i=1}^n \alpha_i<e_i,v>=<\sum_i \alpha_ie_i,v>.

Since this is true for all v, it is in particular true for \sum_i\alpha_ie_i. And thus
\sum_i \alpha_ie_i=0. Since \{e_1,...,e_n\} is a basis, it follows that \alpha_1=...=\alpha_n=0. Thus linear independence holds.

The \{\varepsilon_1,...,\varepsilon_n\} also span V^*. Indeed, if \varphi:V\rightarrow \mathbb{F} is an arbitrary functional, then we define

\alpha_i=\varphi(e_i)

For an arbitrary v holds that we can write v=\sum_i <e_i,v>e_i. Thus

\varphi(v)=\varphi(\sum_i <e_i,v> e_i)=\sum_i\varphi(e_i) <e_i,v>

Since this holds for all v, we have

\varphi=\sum_i \alpha_i \varepsilon_i

So this proves the result for finite dimensional spaces. The result in infinite dimensions is false, since V^* can really be huge.

However, if we restrict our attention to complete inner-product spaces and to continuous functionals, then the result is true. The proof is not as easy as the one I just gave though.

This Riesz representation theorem forms the justification for bra-ket notation (if you're familiar with that).
 


Thank you pwsnafu and micro mass.
 
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