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Statistics of the spectral form factor in the self-dual kicked Ising model

Ana Flack, Bruno Bertini, Tomaž Prosen

2020Physical Review Research40 citationsDOIOpen Access PDF

Abstract

We compute the full probability distribution of the spectral form factor in the self-dual kicked Ising model by providing an exact lower bound for each moment and verifying numerically that the latter is saturated. We show that at long enough times the probability distribution agrees exactly with the prediction of random-matrix theory if one identifies the appropriate ensemble of random matrices. We find that this ensemble is not the circular orthogonal one-composed of symmetric random unitary matrices and associated with time-reversal-invariant evolution operators-but is an ensemble of random matrices on a more restricted symmetric space [depending on the parity of the number of sites this space is either S p(N )/U (N ) or O(2N )/O(N )O(N )]. Even if the latter ensembles yield the same averaged spectral form factor as the circular orthogonal ensemble, they show substantially enhanced fluctuations. This behavior is due to a recently identified additional antiunitary symmetry of the self-dual kicked Ising model.

Topics & Concepts

Ising modelRandom matrixCircular ensembleMathematicsSymmetric probability distributionStatistical physicsParity (physics)PhysicsProbability distributionDistribution (mathematics)Unitary stateSpace (punctuation)Upper and lower boundsSymmetry (geometry)Parameter spaceUnitary matrixMathematical physicsCombinatoricsPairingErgodic theoryMoment (physics)Quantum mechanicsStatistical ensembleProbability theorySpectral densitySecond moment of areaRandom Matrices and ApplicationsOpinion Dynamics and Social InfluenceTheoretical and Computational Physics
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