Check the spectral theorem for this matrix

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Homework Statement
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Relevant Equations
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Problem 1.6 text: Find the eigenvalues and eigenvectors of the matrix M equal to a 3x3 matrix with rows (0 1 0), (1 0 1), (0 1 0), then construct the projection operators and verify the spectral theorem.

I found three projection operators
$$P_{1}=
\begin{pmatrix}
1/2 & & \\
& -\sqrt{2}/2 & \\
& & 1/2
\end{pmatrix}$$
$$P_{2}=
\begin{pmatrix}
1/2 & & \\
& \sqrt{2}/2 & \\
& & 1/2
\end{pmatrix}$$
$$P_{3}=
\begin{pmatrix}
-1/\sqrt{2} & & \\
& & \\
& & 1/\sqrt{2}
\end{pmatrix}$$

From this five properties
Five numbered properties (i) to (v) of a spectral family E(λ) on a Hilbert space, including E(λ1)E(λ2) = E(λ1) for λ1 < λ2, strong limits as ε → 0, λ → −∞ and λ → +∞, and the integral of λ dE(λ) equal to A, labelled (1.37).
, i am having trouble to prove the ii, iii, and iv. I mean, i could understand this conditions in the continuous situation, in which we can make the "eigenvalue tends to" something. But how to interpret it when we are dealing with discrete conditions? In which we have really just three eigenvalues.
 
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  • Printed exercise 1.2 asking for the dimension of the vector space spanned by 1, sin x, cos x, (sin x)^2, (cos x)^2, sin(2x), and cos(2x), with a basis and a proof of completeness.
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  • A 3 by 3 matrix with 1/2 in the top-left entry, minus square root of 2 over 2 in the middle diagonal entry, 1/2 in the bottom-right entry, and zeros elsewhere.
    1615235888901.png
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##E(\lambda)## is an projection (operator) valued function. In the case of discrete eigenvalues it is a step function which has a step at each eigenvalue . ##dE(\lambda)/d\lambda## has a ##\delta## function spike at each eigenvalue, which gives you the discrete eigenvalue when you integrate.