Circular Ensembles
IntegrateUnitary.jl provides support for the three classical Circular Ensembles of Random Matrix Theory:
- CUE (Circular Unitary Ensemble): Corresponds to the Haar measure on the Unitary group $U(d)$.
- COE (Circular Orthogonal Ensemble): Ensemble of symmetric unitary matrices ($S^T = S$).
- CSE (Circular Symplectic Ensemble): Ensemble of self-dual unitary matrices ($S^R \equiv J S^T J^T = S$, where $J$ is the standard symplectic form) of even dimension $d=2N$.
These ensembles are defined on the unitary group, unlike the Gaussian ensembles which are defined on the space of Hermitian matrices.
Measures
IntegrateUnitary.dCUE — Function
dCUE(dim)Defines the Circular Unitary Ensemble measure for U(d). This is mathematically equivalent to the Haar measure on U(d).
IntegrateUnitary.dCOE — Function
dCOE(dim)Defines the Circular Orthogonal Ensemble (COE) measure on U(N). Integration engine identifies variables via metadata tag :COE.
IntegrateUnitary.dCSE — Function
dCSE(dim)Defines the Circular Symplectic Ensemble (CSE) measure on U(2N). Integration engine identifies variables via metadata tag :CSE.
Examples
COE (Circular Orthogonal Ensemble)
For the COE, the matrix $S$ is symmetric unitary. The diagonal entries have different statistical properties than off-diagonal entries.
- Basic Integration using
@integrate
The @integrate macro automatically identifies S as the random matrix when dCOE is used.
using IntegrateUnitary, Symbolics
@variables d
# COE diagonal 2nd moment E[|S_{1,1}|^2]
@integrate abs(S[1, 1])^2 dCOE(d)
# Output: 2 / (d + 1)
# COE off-diagonal 2nd moment E[|S_{1,2}|^2]
@integrate abs(S[1, 2])^2 dCOE(d)
# Output: 1 / (d + 1)
# COE diagonal 4th moment E[|S_{1,1}|^4]
@integrate abs(S[1, 1])^4 dCOE(d)
# Output: 8 / ((d + 1) * (d + 3))
# COE off-diagonal 4th moment E[|S_{1,2}|^4]
@integrate abs(S[1, 2])^4 dCOE(d)
# Output: 2 / (d * (d + 3))
# COE correlation moment E[|S_{1,1}|^2 |S_{1,2}|^2]
@integrate abs(S[1, 1])^2 * abs(S[1, 2])^2 dCOE(d)
# Output: 2 / ((d + 1) * (d + 3))- Manual Integration
using IntegrateUnitary, Symbolics
@variables d
S = SymbolicMatrix(:S, :COE)
# COE moment E[|S_{1,1}|^2]
integrate(abs(S[1, 1])^2, dCOE(d))
# Output: 2 / (d + 1)CSE (Circular Symplectic Ensemble)
For the CSE, the matrix $S$ is defined on a space of dimension $2N$ and satisfies $S = J S^T J^T$.
- Basic Integration using
@integrate
using IntegrateUnitary, Symbolics
@variables d
# CSE diagonal 2nd moment E[|S_{1,1}|^2]
@integrate abs(S[1, 1])^2 dCSE(d)
# Output: 1 / (d - 1)
# CSE diagonal 4th moment E[|S_{1,1}|^4]
@integrate abs(S[1, 1])^4 dCSE(d)
# Output: 2 / (d * (d - 1))- Manual Integration
using IntegrateUnitary, Symbolics
@variables d
S = SymbolicMatrix(:S, :CSE)
# CSE moment E[|S_{1,1}|^2]
integrate(abs(S[1, 1])^2, dCSE(d))
# Output: 1 / (d - 1)CUE (Circular Unitary Ensemble)
The CUE is statistically identical to the standard Unitary Haar measure.
- Basic Integration using
@integrate
using IntegrateUnitary, Symbolics
@variables d
# CUE moment E[|U_{1,1}|^2]
@integrate abs(U[1, 1])^2 dCUE(d)
# Output: 1 / d- Manual Integration
using IntegrateUnitary, Symbolics
@variables d
U = SymbolicMatrix(:U, :U)
# CUE moment E[|U_{1,1}|^2]
res = integrate(abs(U[1, 1])^2, dCUE(d))
# Output: 1 / dPotential Pitfalls
[!IMPORTANT]
Symbolic (d) Pitfalls
- Small Dimensions: For Haar-related measures (Unitary, Orthogonal, Circular), element-wise results are rational functions with poles at small $d$ (typically $d < n$ for degree $n$ moments). Pure trace moments $|\mathrm{tr}(U)|^{2k}$ are an exception: they depend on $d$ as a step function and require a concrete integer dimension.
- Removable Singularities: Substituting numeric values can yield $0/0$ forms (e.g., at $d=1$ or $d=2$).
- Automatic Handling:
IntegrateUnitary.jl'sevaluatefunction automatically simplifies expressions to resolve removable singularities when a denominator evaluates to zero.
See Also
- Unitary Integration — CUE is the Haar measure on $U(d)$; Weingarten calculus background
- Orthogonal & Symplectic — COE arises from $O(d)$, CSE from $Sp(d)$
- Asymptotic Expansions — large-$d$ limit of circular ensemble moments
- Integral Library — targeted pre-computed circular moments