Infinite dimensional counterexample

Carl140
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Homework Statement



Let V be a finite dimensional vector space and let W be a subspace of V.
1. Then V is the direct sum of W and W' where W' denotes the orthogonal complement of W.
2. Also, (W')' = W, i.e the orthogonal complement of the orthgonal complement of W is
again W.

My question is, what happens if we drop the condition that V is finite dimensional, would
the results would be still valid? what happens with condition 1 and 2??
 
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Part of the problem here is that "orthogonality" depends on the specific inner product and there is no "natural" inner product on infinite dimensional vector spaces. Are you assuming a specific inner product and, if so, what?
 
Sorry, I accidentally clicked on report.

I read somewhere in the web that l^2(N) is such counterexample where l^2(N) is the set of all sequences of real numbers (x_1, x_2,...) such that
sum( x_i^2 , i=1 to infinity) < infinity.

But I don't know which subspace of l^2(N) should I consider to find where the properties fail.
 
I'll give you a simpler example. Let V be the space of all continuous functions on [0,1]. Define the inner product <f,g> to be the integral of f*g over [0,1]. Let W be the subspace of all functions such that f(0)=0. The only element of W' is f=0. V obviously isn't equal to the direct sum of W and W'. They don't even span V.
 
In the case of I^2(N), take W to be the subspace of all sequences with only a finite number of elements nonzero. Both of these examples have a common elements. You have a proper subspace W that is dense in V.
 
There are two things I don't understand about this problem. First, when finding the nth root of a number, there should in theory be n solutions. However, the formula produces n+1 roots. Here is how. The first root is simply ##\left(r\right)^{\left(\frac{1}{n}\right)}##. Then you multiply this first root by n additional expressions given by the formula, as you go through k=0,1,...n-1. So you end up with n+1 roots, which cannot be correct. Let me illustrate what I mean. For this...
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