Spectral Theorem for a Complex Vector Space and corollary

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Here is the Spectral Theorem

When it says orthogonal projections it must mean they are orthogonal with each other otherwise if it meant they were orthogonal lin transformations then they would be invertible- the only invertible projection is the identity map and if they were all equal to that they couldnt possibly sum to give the identity.

Here is the corollary I can't see why it should follow enter image description here

ok it's not really a corollary but it uses the previous theorem. I PARTICULARLY CANNOT UNDERSTAND THE FIRST LINE OF THE PROOF- HOW HAS IT BEEN DEDUCED THAT V IS THE DIRECT SUM OF ALL THOSE EIGENSPACES WITH ALL THOSE $\lambda_i$ DISTINCT?

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Those $V_{\lambda_i}$ are the images of the $E_i$ in the theorem.

The way that the spectral theorem is usually stated is that for a normal, complex operator $T: V \to V$, there is an orthonormal basis of $V$ consisting of eigenvectors of $T$.

In this proof, $V_{\lambda_i}$ is the span of the orthonormal set of eigenvectors corresponding to $\lambda_i$.