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FOUNDATIONS OF QUANTUM MECHANICS

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II. 3. EIGENVALUE PROBLEM AND SPECTRAL THEOREM 25<br />

SPECTRAL THEOREM:<br />

Every normal operator A has an orthonormal basis of eigenvectors |α 1 ⟩, . . . , |α N ⟩ and<br />

associated eigenvalues a 1 , . . . , a N , not necessarily distinct, satisfying (II. 48).<br />

The spectral theorem tells us that normal operators can be diagonalized. This can be formulated<br />

more elegantly in Dirac notation, where we must distinguish between the case in which all eigenvalues<br />

differ from each other, and the case in which some eigenvalues are equal. In the first case the operator<br />

is called maximal, in the second case the operator is called degenerate.<br />

Suppose that the operator A is maximal, i.e. all eigenvalues a i differ from each other, a i ≠ a j<br />

if i ≠ j. In this case we often use the eigenvalues as a label for the eigenvectors and write |a i ⟩ instead<br />

of |α i ⟩. This notation is unambiguous, since there is exactly one eigenvalue for every eigenvector.<br />

Now, according to the spectral theorem, there is an orthonormal basis |a 1 ⟩, . . . , |a n ⟩ such that<br />

A =<br />

N∑<br />

a i |a i ⟩ ⟨a i |, (II. 49)<br />

i=1<br />

since, with (II. 44), it holds for all |ψ⟩ ∈ H that<br />

A |ψ⟩ = A 11 |ψ⟩ = A<br />

N∑<br />

|a i ⟩ ⟨a i | ψ⟩ =<br />

i=1<br />

N∑<br />

a i |a i ⟩ ⟨a i | ψ⟩. (II. 50)<br />

i=1<br />

If the operator is degenerate there are only M < N distinct eigenvalues a 1 , . . . , a M . For every<br />

eigenvalue a i , there exists a number n i of mutually orthogonal eigenvectors, for which we have<br />

M∑<br />

n i = N. (II. 51)<br />

i=1<br />

The eigenvalue a i is called n i - fold degenerate. The associated eigenvectors span a n i - dimensional<br />

subspace of eigenvectors for the value a i .<br />

Choose, in this subspace, an orthonormal basis {|α i , j⟩} with j = 1, . . . , n i . Here we can also<br />

use the eigenvalues a i as a label for the basis vectors because the extra label j prevents our notation<br />

from becoming ambiguous. Now the eigenvalue equation (II. 48) becomes<br />

A |a i , j⟩ = a i |a i , j⟩. (II. 52)<br />

Analogous to (II. 49), we find<br />

A =<br />

M∑<br />

i=1<br />

a i<br />

∑n i<br />

j=1<br />

|a i , j⟩ ⟨a i , j|, (II. 53)<br />

which, in terms of the n i - dimensional eigenprojectors<br />

P ai =<br />

∑n i<br />

j=1<br />

|a i , j⟩ ⟨a i , j|, (II. 54)

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