Intuition
The selection rules are special cases of one theorem. Operators, like states, come in families that rotate into one another: a scalar is unchanged by rotations, a vector’s three components mix like the three states of , and a tensor operator of rank has components that rotate like the states . The Wigner–Eckart theorem says that all the matrix elements of such an operator between two multiplets are one number, the reduced matrix element, times a Clebsch–Gordan coefficient. The geometry — which , and — is in the coefficient; the physics — how strong — is in the one number.
How bright a lamp looks depends on its power and on the direction you look from. The power is one number for the lamp; the direction gives a fixed geometric factor. The Wigner–Eckart theorem splits every matrix element of a tensor operator the same way.
The Wigner–Eckart theorem
For a tensor operator of rank , :
Properties
- A tensor operator of rank is defined by and .
Why the m-dependence is a Clebsch–Gordan coefficient
The commutators of a tensor operator with copy the way act on the states . So the kets are raised and lowered exactly like the products , and can be combined with Clebsch–Gordan coefficients into kets that behave like . The overlap of such a ket with is zero unless and , and does not depend on . Undoing the combination leaves one Clebsch–Gordan coefficient times a number that knows nothing of , or .
Proof steps
The definition of a tensor operator of rank .
So is raised and lowered like the product .
Combined like a coupled state, it is raised and lowered like .
Kets that behave like are orthogonal to other and , and moving between values of with shows the overlap is the same for each.
Undo the combination with the orthogonality of the coefficients: .
Applications
Practice
Geometry Times Physics
Every matrix element of a tensor operator between two multiplets is a Clebsch–Gordan coefficient, which holds all the dependence on , and , times one reduced matrix element, which holds none.
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What does the Wigner–Eckart theorem separate?
Scalars Keep j and m
A scalar is a tensor of rank 0. The Clebsch–Gordan coefficient for adding 0 to is zero unless and .
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A scalar operator can connect a state with to a state with .
m'=m+q
The Clebsch–Gordan coefficient vanishes unless the projections add, so a component moves by exactly .
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The component with acts on a state with . What must be for a nonzero matrix element?
Vectors as Tensors of Rank 1
The three components of a vector operator, recombined, rotate like the states of .
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Which is the component of the position vector, as a tensor of rank 1?
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A tensor operator of rank 2 acts on a state with . What is the largest it can reach?
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Between two given multiplets, the ratios of the matrix elements of a tensor operator for different , and are fixed by Clebsch–Gordan coefficients alone.
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Why is a dipole jump from to forbidden?
Final checkpoint
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How many components does a tensor operator of rank 2 have?
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The reduced matrix element depends on and .
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An operator with components , , satisfies and the matching relations with . What is it?
Completion
Lesson complete
Great work! You now know how to:
- recognise scalar, vector and higher tensor operators by their commutators
- state the Wigner–Eckart theorem and derive its selection rules
- separate a matrix element into geometry and a reduced element