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Exercise 2.64 #4

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dandanua opened this issue Apr 12, 2019 · 2 comments
Open

Exercise 2.64 #4

dandanua opened this issue Apr 12, 2019 · 2 comments

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@dandanua
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dandanua commented Apr 12, 2019

The actual solution is not too hard (though I also struggled a bit).

Let $1 \le k \le m$ and denote
$H = span{\phi_1,...,\phi_m }$,
$H_k = span{\phi_1,...,\phi_{k-1}, \phi_{k+1},...,\phi_m }$.
Because of linear independence, subspace $H$ has dimension $m$ and $H_k$ has dimension $m-1$. Now denote $E_k = Proj(H) - Proj(H_k)$, where $Proj(H)$ denotes the (ortho)projection operator on the subspace $H$. Clearly, $E_k \ge 0$ and $E_k \neq 0$.
Also, denote $E_{m+1} = I - E_1-...-E_m$.
Now calculate $\langle \phi_i|E_k|\phi_i \rangle = \langle \phi_i|Proj(H)|\phi_i \rangle - \langle \phi_i|Proj(H_k)|\phi_i \rangle = 1 - \langle \phi_i|Proj(H_k)|\phi_i \rangle = 0$ if $i \neq k$ and $>0$ if $i=k$. This is what we needed.

@goropikari
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Also, denote $E_{m+1} = I - E_1-...-E_m$.

How do you ensure $E_{m+1}$ is non-negative?
I think it can be negative in this definition.

@dandanua
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dandanua commented Apr 13, 2019

Yes, it's not clear. Well, anyway, we can scale all $E_i, i <= m$, i.e. take $E_i = \alpha E_i$ for some sufficiently small $\alpha > 0$.

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