Search results for "Entropy"

showing 10 items of 496 documents

Entropic measure of spatial disorder for systems of finite-sized objects

2000

We consider the relative configurational entropy per cell S_Delta as a measure of the degree of spatial disorder for systems of finite-sized objects. It is highly sensitive to deviations from the most spatially ordered reference configuration of the objects. When applied to a given binary image it provides the quantitatively correct results in comparison to its point object version. On examples of simple cluster configurations, two-dimensional Sierpinski carpets and population of interacting particles, the behaviour of S_Delta is compared with the normalized information entropy H' introduced by Van Siclen [Phys. Rev. E 56, (1997) 5211]. For the latter example, the additional middle-scale fe…

Statistics and ProbabilityPhysicseducation.field_of_studyStatistical Mechanics (cond-mat.stat-mech)Degree (graph theory)Binary imageConfiguration entropyPopulationFOS: Physical sciencesCondensed Matter PhysicsMeasure (mathematics)Sierpinski triangleThermodynamic limitCluster (physics)Statistical physicseducationCondensed Matter - Statistical MechanicsPhysica A: Statistical Mechanics and its Applications
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Global stability of protein folding from an empirical free energy function

2013

The principles governing protein folding stand as one of the biggest challenges of Biophysics. Modeling the global stability of proteins and predicting their tertiary structure are hard tasks, due in part to the variety and large number of forces involved and the difficulties to describe them with sufficient accuracy. We have developed a fast, physics-based empirical potential, intended to be used in global structure prediction methods. This model considers four main contributions: Two entropic factors, the hydrophobic effect and configurational entropy, and two terms resulting from a decomposition of close-packing interactions, namely the balance of the dispersive interactions of folded an…

Statistics and ProbabilityProtein FoldingEmpirical potential for proteinsConfiguration entropyPROTCALBioinformaticsGeneral Biochemistry Genetics and Molecular BiologyForce field (chemistry)Protein structureStatistical physicsDatabases ProteinQuantitative Biology::BiomoleculesModels StatisticalFoldXGeneral Immunology and MicrobiologyApplied MathematicsProteinsReproducibility of ResultsGeneral MedicineProtein tertiary structureProtein Structure TertiaryPrediction of protein folding stabilityModeling and SimulationLinear ModelsThermodynamicsProtein foldingGeneral Agricultural and Biological SciencesStatistical potentialAlgorithmsSoftwareTest dataJournal of Theoretical Biology
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An entropic analysis of approximate quantum error correction

2013

The concept of entropy and the correct application of the Second Law of thermodynamics are essential in order to understand the reason why quantum error correction is thermodynamically possible and no violation of the Second Law occurs during its execution. We report in this work our first steps towards an entropic analysis extended to approximate quantum error correction (QEC). Special emphasis is devoted to the link among quantum state discrimination (QSD), quantum information gain, and quantum error correction in both the exact and approximate QEC scenarios.

Statistics and ProbabilityQuantum discordQuantum PhysicsFOS: Physical sciencesCondensed Matter PhysicsQuantum relative entropyTheoretical physicsT-symmetryQuantum error correctionQuantum stateStatistical physicsQuantum informationQuantum Physics (quant-ph)Entropy (arrow of time)Joint quantum entropyMathematics
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Geometric Entropies of Mixing (EOM)

2005

Trigonometric and trigonometric-algebraic entropies are introduced. Regularity increases the entropy and the maximal entropy is shown to result when a regular $n$-gon is inscribed in a circle. A regular $n$-gon circumscribing a circle gives the largest entropy reduction, or the smallest change in entropy from the state of maximum entropy which occurs in the asymptotic infinite $n$ limit. EOM are shown to correspond to minimum perimeter and maximum area in the theory of convex bodies, and can be used in the prediction of new inequalities for convex sets. These expressions are shown to be related to the phase functions obtained from the WKB approximation for Bessel and Hermite functions.

Statistics and ProbabilityStatistical Mechanics (cond-mat.stat-mech)Principle of maximum entropyConfiguration entropyMathematical analysisMaximum entropy thermodynamicsMin entropyFOS: Physical sciencesStatistical and Nonlinear PhysicsComputer Science::Computational GeometryQuantum relative entropyMaximum entropy probability distributionMathematics::Metric GeometryMathematical PhysicsEntropy rateJoint quantum entropyCondensed Matter - Statistical MechanicsMathematics
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Selecting the tuning parameter in penalized Gaussian graphical models

2019

Penalized inference of Gaussian graphical models is a way to assess the conditional independence structure in multivariate problems. In this setting, the conditional independence structure, corresponding to a graph, is related to the choice of the tuning parameter, which determines the model complexity or degrees of freedom. There has been little research on the degrees of freedom for penalized Gaussian graphical models. In this paper, we propose an estimator of the degrees of freedom in $$\ell _1$$ -penalized Gaussian graphical models. Specifically, we derive an estimator inspired by the generalized information criterion and propose to use this estimator as the bias term for two informatio…

Statistics and ProbabilityStatistics::TheoryKullback–Leibler divergenceKullback-Leibler divergenceComputer scienceGaussianInformation Criteria010103 numerical & computational mathematicsModel complexityModel selection01 natural sciencesTheoretical Computer Science010104 statistics & probabilitysymbols.namesakeStatistics::Machine LearningGeneralized information criterionEntropy (information theory)Statistics::MethodologyGraphical model0101 mathematicsPenalized Likelihood Kullback-Leibler Divergence Model Complexity Model Selection Generalized Information Criterion.Model selectionEstimatorStatistics::ComputationComputational Theory and MathematicsConditional independencesymbolsPenalized likelihoodStatistics Probability and UncertaintySettore SECS-S/01 - StatisticaAlgorithmStatistics and Computing
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Juggler's exclusion process

2012

Juggler's exclusion process describes a system of particles on the positive integers where particles drift down to zero at unit speed. After a particle hits zero, it jumps into a randomly chosen unoccupied site. We model the system as a set-valued Markov process and show that the process is ergodic if the family of jump height distributions is uniformly integrable. In a special case where the particles jump according to a set-avoiding memoryless distribution, the process reaches its equilibrium in finite nonrandom time, and the equilibrium distribution can be represented as a Gibbs measure conforming to a linear gravitational potential.

Statistics and Probabilityset-valued Markov processmaximum entropy60K35 82C41General Mathematics82C41FOS: Physical sciencesMarkov process01 natural sciencespositive recurrencesymbols.namesakeGravitational potentialMarkov renewal process0103 physical sciencesjuggling patternFOS: MathematicsErgodic theory0101 mathematicsGibbs measureMathematical PhysicsMathematicsDiscrete mathematicsnoncolliding random walkProbability (math.PR)ta111010102 general mathematicsErgodicityMathematical analysisExclusion processMathematical Physics (math-ph)Gibbs measureDistribution (mathematics)set-avoiding memoryless distribution60K35Jumpsymbolsergodicity010307 mathematical physicsStatistics Probability and UncertaintyMathematics - Probability
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Classification of flavonoid compounds by using entropy of information theory

2013

A total of 74 flavonoid compounds are classified into a periodic table by using an algorithm based on the entropy of information theory. Seven features in hierarchical order are used to classify structurally the flavonoids. From these features, the first three mark the group or column, while the last four are used to indicate the row or period in a table of periodic classification. Those flavonoids in the same group and period are suggested to show maximum similarity in properties. Furthermore, those with only the same group will present moderate similarity. In this report, the flavonoid compounds in the table, whose experimental data in bioactivity and antioxidant properties have been prev…

StereochemistryEntropyFlavonoidInformation TheoryPlant ScienceHorticultureInformation theoryBiochemistryAntioxidantsMolecular classificationEntropy (information theory)heterocyclic compoundsMolecular BiologyFlavonoidschemistry.chemical_classificationPrincipal Component AnalysisMolecular Structurebusiness.industryfungifood and beveragesPattern recognitionGeneral MedicinechemistryArtificial intelligencebusinessAlgorithmsPhytochemistry
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THE MINIMIZING TOTAL VARIATION FLOW WITH MEASURE INITIAL CONDITIONS

2004

In this paper we obtain existence and uniqueness of solutions for the Cauchy problem for the minimizing total variation flow when the initial condition is a Radon measure in ℝN. We study limit solutions obtained by weakly approximating the initial measure μ by functions in L1(ℝN). We are able to characterize limit solutions when the initial condition μ=h+μs, where h∈L1(ℝN)∩L∞(ℝN), and μs=αℋk⌊ S,α≥0,k is an integer and S is a k-dimensional manifold with bounded curvatures. In case k<N-1 we prove that the singular part of the solution does not move, it remains equal to μs for all t≥0. In particular, u(t)=δ0 when u(0)=δ0. In case k=N-1 we prove that the singular part of the limit solution …

Strong solutionsNonlinear parabolic equationsApplied MathematicsGeneral MathematicsBounded functionRadon measureMathematical analysisInitial value problemEntropy (information theory)UniquenessAbsolute continuityMathematicsCommunications in Contemporary Mathematics
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Thermodynamical derivation of a hydrodynamical model of inhomogeneous superfluid turbulence

2007

In this paper, we build up a thermodynamical model of inhomogeneous superfluid turbulence to describe vortex diffusion in inhomogeneous turbulent tangles, and a coupling between second sound and vortex-density waves. The theory chooses as fundamental fields the density, the velocity, the energy density, the heat flux, and the averaged vortex line length per unit volume. The restrictions on the constitutive quantities are deduced from the entropy principle, using the Liu method of Lagrange multipliers. Field equations are written and the wave propagation is studied with the aim to describe the mutual interactions between the second sound and the vortex tangle.

SuperfluidityPhysicsQuantum fluidEntropy (classical thermodynamics)Classical mechanicsHeat fluxWave propagationTurbulenceSecond soundCondensed Matter PhysicsElectronic Optical and Magnetic MaterialsVortexPhysical Review B
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Thermomechanical Phenomena in Extended Thermodynamics of an Ideal Monoatomic Superfluid

1992

SuperfluidityPhysicsQuantum fluidMonatomic gasEntropy (classical thermodynamics)Helium-4Condensed matter physicsGeneral Physics and AstronomyIndustrial chemistryThermodynamicsGeneral ChemistryBoundary value problemIsotopes of heliumJournal of Non-Equilibrium Thermodynamics
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