Intuition
Once the states are known, every angular momentum operator is a matrix in them. is diagonal, with down the diagonal. and sit just above and just below it, with square roots that come from the lengths of raised states. and are their halves and differences. For the matrices are two by two and turn out to be the Pauli matrices of the spin chapter; for they are three by three.
A timetable lists which stop follows which. The matrix of is the timetable of the ladder: each state is sent to the next one up, and the entry says with what weight.
The matrices of angular momentum
In the basis , is diagonal and have one nonzero diagonal line each, with the coefficients below.
The first cases
- : , , .
The raising coefficient
The squared length of the raised state is the average of , since the two are adjoints. Written through and , that average is known on . Choosing the phase real and positive gives the coefficient.
Proof steps
The adjoint of is .
From the lesson on ladder operators.
Each term is known on .
The raised state is a multiple of ; the usual convention makes the multiple real and positive.
Applications
Practice
One Formula
Raising gives .
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What is the coefficient of in , in units of ? Give three decimal places.
Lowering From the Top
Lowering uses the same formula with in place of .
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What is the coefficient in ?
Where the Entries Sit
In the basis ordered , 0, , the matrix of for has its two entries just above the diagonal: takes each state to the one listed before it.
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The matrix of for is shown in units of , rows and columns in the order . Press the entry that takes to .
Two by Two
For the matrices are two by two. has in both off-diagonal places.
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What are the eigenvalues of for ?
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The entries of the matrix of for , rows and columns in the order , are labelled . Press every entry that is not zero.
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In the basis the matrix of is diagonal.
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What is the coefficient of in , in units of ? Give three decimal places.
Final checkpoint
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What is the coefficient in ?
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For , what are the eigenvalues of ?
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In the basis , the matrix of is the transpose of the matrix of .
Completion
Lesson complete
Great work! You now know how to:
- compute raising and lowering coefficients
- write the matrices of for and