2010
DOI: 10.1088/1742-5468/2010/03/p03024
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Shared information in stationary states at criticality

Abstract: We consider bipartitions of one-dimensional extended systems whose probability distribution functions describe stationary states of stochastic models. We define estimators of the shared information between the two subsystems. If the correlation length is finite, the estimators stay finite for large system sizes. If the correlation length diverges, so do the estimators. The definition of the estimators is inspired by information theory. We look at several models and compare the behavior of the estimators in the… Show more

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Cited by 20 publications
(27 citation statements)
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“…Some results on the finitesize scaling of entanglement in 1D critical non-conformal systems have been already reported [45][46][47][48] . The function Y (x) for S α must however satisfy simple symmetry constraints.…”
Section: B Finite-size Effectsmentioning
confidence: 96%
“…Some results on the finitesize scaling of entanglement in 1D critical non-conformal systems have been already reported [45][46][47][48] . The function Y (x) for S α must however satisfy simple symmetry constraints.…”
Section: B Finite-size Effectsmentioning
confidence: 96%
“…At this value of the loop weight the model is well known to be equivalent to bond percolation [14]. We note here that this model is also equivalent to the stochastic raise and peel model for which the stationary state entanglement entropy in the context of shared information was studied in [15]. The rigorous finite size results allow us to perform a detailed asymptotic analysis in L, of which the universal contribution can be compared to the CFT predictions.…”
Section: Introductionmentioning
confidence: 83%
“…For reflecting boundary conditions we were not able to obtain rigorous results from (15) and (16), except for some special values of the loop weight x, see Appendix A.3 and A.4. We can however analyse (15) and (16) with arbitrary numerical precision and have in this way been able to obtain closed form expressions for their exact asymptotics.…”
Section: Asymptotics For the Model On The Stripmentioning
confidence: 99%
“…We see a nice collapse of the curves regardless p < p 1 or p > p 1 . We also show in the figure (circles) the predicted curve [10] for the standard u = 1 RPM: h(L) = γ ln[L sin(πx/L)/π] + β, with γ = √ 3/2π ≈ 0.2757 and β = 0.77. The coefficient γ can be derived exploiting the conformal invariance of the model [11,10].…”
Section: The Model With Equal Rates Of Adsorption and Desorptionmentioning
confidence: 99%