Check the spectral theorem for this matrix

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SUMMARY

The discussion focuses on the spectral theorem for a matrix with three specific projection operators: \(P_{1}\), \(P_{2}\), and \(P_{3}\). The user expresses difficulty in proving properties ii, iii, and iv related to these operators, particularly in the context of discrete eigenvalues. The concept of the projection (operator) valued function \(E(\lambda)\) is clarified as a step function that exhibits spikes at each discrete eigenvalue, with its derivative \(dE(\lambda)/d\lambda\) representing a delta function at these points.

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  • Understanding of linear algebra concepts, specifically projection operators.
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Homework Statement
.
Relevant Equations
.
1615235843259.png

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
1615235980298.png
, 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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What is the definition of E in those statements?
 
##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.
 

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