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.
Example for j = 1, β = 60° (values shown for illustration).
| j | m | m' | β (deg) | djm,m'(β) |
|---|---|---|---|---|
| 1 | 1 | 1 | 60 | 0.7500000000 |
| 1 | 1 | 0 | 60 | -0.6123724357 |
| 1 | 1 | -1 | 60 | 0.2500000000 |
The reduced Wigner rotation element (small-d) for a rotation by β about the y-axis is evaluated using the standard finite sum:
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).
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.
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.
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).
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
Important Note: All the Calculators listed in this site are for educational purpose only and we do not guarentee the accuracy of results. Please do consult with other sources as well.