Wigner d-Matrix Calculator

Compute d-elements using stable sums and gamma scaling. Generate full matrices for any chosen spin. Export clean tables for labs and notes today safely.

Inputs

Use integer or half-integer values, e.g., 0.5, 1, 1.5.
Must satisfy −j ≤ m ≤ j.
Must satisfy −j ≤ m' ≤ j.
This calculator uses the reduced rotation about the y-axis.
Internally converted to radians.
Higher precision helps for larger j.

Example data table

Example for j = 1, β = 60° (values shown for illustration).

j m m' β (deg) djm,m'(β)
111600.7500000000
11060-0.6123724357
11-1600.2500000000

Formula used

The reduced Wigner rotation element (small-d) for a rotation by β about the y-axis is evaluated using the standard finite sum:

d^j_{m,m'}(β) = \sum_k (-1)^{k-m+m'} \frac{\sqrt{(j+m)!(j-m)!(j+m')!(j-m')!}}{(j+m-k)!\,k!\,(m'-m+k)!\,(j-m'-k)!} \\ \times (\cos(β/2))^{2j+m-m'-2k} (\sin(β/2))^{m'-m+2k}

The sum runs over integer k values that keep every factorial argument non-negative. Factorials for half-integers are computed via the Gamma function: x! = Γ(x+1).


How to use this calculator

  1. Enter the spin value j (integer or half-integer).
  2. Set m and m' within the range −j to j.
  3. Provide the rotation angle β and select degrees or radians.
  4. Choose a decimal precision suitable for your j value.
  5. Optionally enable “full matrix” to compute all m,m' entries.
  6. Press Compute to display results, then export to CSV or PDF.

Notes on conventions

  • This tool computes the reduced rotation matrix d(β) associated with a y-axis rotation.
  • m and m' advance in steps of 1, matching the spin ladder spacing.
  • Results depend on phase conventions; keep consistent conventions across calculations.
  • If you need the full D-matrix, combine with Euler phases: D = e^{-imα} d(β) e^{-im'γ}.

Professional article

1) Wigner d-matrix in rotation theory

The reduced Wigner rotation matrix djm,m′(β) describes how angular-momentum eigenstates transform under a pure rotation about the y-axis. It is a central building block for the full Wigner D-matrix and appears whenever rotational symmetry is expressed in the |j,m⟩ basis.

2) Quantum indices and allowed ranges

The calculator accepts integer or half-integer j, with m and m′ running from −j to +j in unit steps. For example, j = 3/2 yields m ∈ {3/2, 1/2, −1/2, −3/2}. These quantized labels encode the dimensionality (2j+1) and selection constraints used in the summation.

3) Meaning of the angle β

β is the polar rotation angle about the y-axis and is often paired with Euler angles (α,β,γ) for general rotations. In spectroscopy and scattering, β connects laboratory and molecular frames; in spin dynamics, it describes the tilt between quantization axes. Internally the algorithm uses sin(β/2) and cos(β/2).

4) Stable summation with gamma scaling

Direct factorials overflow quickly, especially when j grows. This implementation evaluates factorial terms through the log-gamma function, using x! = Γ(x+1), and forms each term in log space before exponentiation. That approach improves stability for moderate-to-large j and helps maintain useful precision when many k-terms contribute with alternating signs.

5) Useful numerical checks

For any fixed j and β, the matrix d(β) is orthogonal: rows and columns are normalized and mutually orthogonal (within rounding). Special angles provide quick validation: at β = 0, djm,m′(0) equals 1 when m=m′ and 0 otherwise. At β = π, values follow known sign and permutation patterns.

6) Building full matrices for spin systems

When you enable the full-matrix option, the tool computes every entry for m and m′ across the (2j+1)×(2j+1) grid. This is practical for constructing rotation operators in finite-dimensional Hilbert spaces, rotating density matrices, or generating basis-change tables used in coupled-spin Hamiltonians and polarization-transfer simulations.

7) Where the d-matrix is applied

Common applications include spherical-harmonic rotations (j=ℓ), rigid-rotor spectroscopy, quantum scattering amplitudes, and spinor rotations in magnetic resonance. In molecular physics, d-elements appear in direction-cosine expansions and in transforming transition moments. In quantum information, they provide exact single-qudit rotation blocks for spin-j encodings.

8) Recommended settings and interpretation

For larger j, increase decimal precision and prefer radians for reproducible inputs. If results seem noisy, compare symmetry relations (such as m↔m′ patterns under β→−β) and verify orthogonality using the exported table. Remember that phase conventions matter when combining with α and γ to form the full D-matrix.


FAQs

1) What does this calculator compute?

It computes the reduced Wigner rotation element djm,m′(β) for a y-axis rotation, and can also generate the full (2j+1)×(2j+1) matrix for the selected j and angle.

2) Can j, m, and m′ be half-integers?

Yes. Enter values in steps of 0.5. The tool validates that m and m′ remain within −j to +j and lie on the same integer/half-integer grid as j.

3) Why do some entries change sign with β?

The sum includes alternating-sign terms and powers of sin(β/2) and cos(β/2). These factors encode the rotation geometry and phase convention, producing sign changes that are physically meaningful.

4) What precision should I choose?

Use higher precision for larger j or when β is near angles that cause cancellation. Ten to sixteen decimals is typical for j above about 10, especially when exporting full matrices for downstream calculations.

5) How is the full Wigner D-matrix obtained?

Combine the reduced element with Euler phase factors: Djm,m′(α,β,γ) = e−imα djm,m′(β) e−im′γ. This tool supplies the d-part.

6) Are there quick sanity checks for my inputs?

Yes. At β=0 the matrix should be the identity. Also, rows and columns should be approximately orthonormal for any β. Export a full matrix and verify dot products if needed.

7) Why is there a suggested limit on j?

Very large j can amplify cancellation and rounding errors in finite-precision arithmetic. The log-gamma approach improves stability, but practical limits keep results dependable without requiring arbitrary-precision libraries.

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