Convergence with L2 norm functions

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The discussion focuses on proving that if a sequence of functions f_n converges to a function f in the L^2 norm, then the inner product <f_n, g> converges to <f, g> for any g in L^2. The proof utilizes the Cauchy-Schwarz inequality to establish that the difference |<f_n - f, g>| approaches zero as n increases, due to the norm convergence of f_n to f. The participant suggests making the transition from <f_n - f, g> to <f_n, g> - <f, g> more explicit for clarity. The reasoning appears sound, emphasizing the properties of absolute convergence and linearity of inner products. Overall, the proof is deemed reasonable, with a suggestion for clearer exposition.
tom_rylex
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Homework Statement


(I'm posting this because my proofs seem to be lousy. I want to see if I'm missing anything.)
Show that if f_n \in L^2(a,b) and f_n \rightarrow f in norm, then &lt;f_n,g&gt; \rightarrow &lt;f,g&gt; for all g \in L^2(a,b)

Homework Equations


L^2(a,b) is the space of square-integrable functions,
{f_n} is a finite sequence of piecewise continuous functions, and
< , > is the inner product


The Attempt at a Solution



I started with a linear combination of inner products and applied the Cauchy Schwarz inequality:
\vert &lt;f_n - f,g&gt; \vert \leq \Vert f_n - f \Vert \Vert g \Vert
By the definition of norm convergence, I have
\Vert f_n - f \Vert \rightarrow 0, which means that
\vert &lt;f_n - f,g&gt; \vert \rightarrow 0
Since this is absolutely convergent, that means that
&lt;f_n,g&gt; - &lt;f,g&gt; is also convergent to 0. So therefore,
&lt;f_n,g&gt; -&lt;f,g&gt; \rightarrow 0
&lt;f_n,g&gt; \rightarrow &lt;f,g&gt;

Is that reasonable? Or am I missing something?
 
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I suggest going from <fn - f , g> ---> 0 to <fn , g> - <f , g> ---> 0 more explicitly.
 
As in:
<fn-f,g> --> 0 (absolutely convergent series are convergent)
<fn,g> - <f,g> --> 0 (linearity property wrt the first variable for inner products)
 
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