23,330 research outputs found

    The entropy in finite NN-unit nonextensive systems: the ordinary average and qq-average

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    We have discussed the Tsallis entropy in finite NN-unit nonextensive systems, by using the multivariate qq-Gaussian probability distribution functions (PDFs) derived by the maximum entropy methods with the normal average and the qq-average (qq: the entropic index). The Tsallis entropy obtained by the qq-average has an exponential NN dependence: Sq(N)/Ne(1q)NS1(1)S_q^{(N)}/N \simeq \:e^{(1-q)N \:S_1^{(1)}} for large NN (1(1q)>0\gg \frac{1}{(1-q)} >0). In contrast, the Tsallis entropy obtained by the normal average is given by Sq(N)/N[1/(q1)N]S_q^{(N)}/N \simeq [1/(q-1)N] for large NN (1(q1)>0)\gg \frac{1}{(q-1)} > 0). NN dependences of the Tsallis entropy obtained by the qq- and normal averages are generally quite different, although the both results are in fairly good agreement for q11.0\vert q-1 \vert \ll 1.0. The validity of the factorization approximation to PDFs which has been commonly adopted in the literature, has been examined. We have calculated correlations defined by Cm=(δxiδxj)m(δxi)m(δxj)mC_m= \langle (\delta x_i \:\delta x_j)^m \rangle -\langle (\delta x_i)^m \rangle\: \langle (\delta x_j)^m \rangle for iji \neq j where δxi=xixi\delta x_i=x_i -\langle x_i \rangle, and the bracket \langle \cdot \rangle stands for the normal and qq-averages. The first-order correlation (m=1m=1) expresses the intrinsic correlation and higher-order correlations with m2m \geq 2 include nonextensivity-induced correlation, whose physical origin is elucidated in the superstatistics.Comment: 23 pages, 5 figures: the final version accepted in J. Math. Phy

    Specific heat and entropy of NN-body nonextensive systems

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    We have studied finite NN-body DD-dimensional nonextensive ideal gases and harmonic oscillators, by using the maximum-entropy methods with the qq- and normal averages (qq: the entropic index). The validity range, specific heat and Tsallis entropy obtained by the two average methods are compared. Validity ranges of the qq- and normal averages are 0qL0 q_L, respectively, where qU=1+(ηDN)1q_U=1+(\eta DN)^{-1}, qL=1(ηDN+1)1q_L=1-(\eta DN+1)^{-1} and η=1/2\eta=1/2 (η=1\eta=1) for ideal gases (harmonic oscillators). The energy and specific heat in the qq- and normal averages coincide with those in the Boltzmann-Gibbs statistics, % independently of qq, although this coincidence does not hold for the fluctuation of energy. The Tsallis entropy for Nq11N |q-1| \gg 1 obtained by the qq-average is quite different from that derived by the normal average, despite a fairly good agreement of the two results for q11|q-1 | \ll 1. It has been pointed out that first-principles approaches previously proposed in the superstatistics yield additiveadditive NN-body entropy (S(N)=NS(1)S^{(N)}= N S^{(1)}) which is in contrast with the nonadditivenonadditive Tsallis entropy.Comment: 27 pages, 8 figures: augmented the tex

    Violation of Bell-like Inequality for spin-energy entanglement in neutron polarimetry

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    Violation of a Bell-like inequality for a spin-energy entangled neutron state has been confirmed in a polarimetric experiment. The proposed inequality, in Clauser-Horne-Shimony-Holt (CHSH) formalism, relies on correlations between the spin and energy degree of freedom in a single-neutron system. The entangled states are generated utilizing a suitable combination of two radio-frequency fields in a neutron polarimeter setup. The correlation function S is determined to be 2.333+/-0.005, which violates the Bell-like CHSH inequality by more than 66 standard deviations.Comment: 4 pages 2 figure

    Recombination kinetics of a dense electron-hole plasma in strontium titanate

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    We investigated the nanosecond-scale time decay of the blue-green light emitted by nominally pure SrTiO3_3 following the absorption of an intense picosecond laser pulse generating a high density of electron-hole pairs. Two independent components are identified in the fluorescence signal that show a different dynamics with varying excitation intensity, and which can be respectively modeled as a bimolecular and unimolecolar process. An interpretation of the observed recombination kinetics in terms of interacting electron and hole polarons is proposed

    Quasi Markovian behavior in mixing maps

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    We consider the time dependent probability distribution of a coarse grained observable Y whose evolution is governed by a discrete time map. If the map is mixing, the time dependent one-step transition probabilities converge in the long time limit to yield an ergodic stochastic matrix. The stationary distribution of this matrix is identical to the asymptotic distribution of Y under the exact dynamics. The nth time iterate of the baker map is explicitly computed and used to compare the time evolution of the occupation probabilities with those of the approximating Markov chain. The convergence is found to be at least exponentially fast for all rectangular partitions with Lebesgue measure. In particular, uniform rectangles form a Markov partition for which we find exact agreement.Comment: 16 pages, 1 figure, uses elsart.sty, to be published in Physica D Special Issue on Predictability: Quantifying Uncertainty in Models of Complex Phenomen

    An augmented moment method for stochastic ensembles with delayed couplings: II. FitzHugh-Nagumo model

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    Dynamics of FitzHugh-Nagumo (FN) neuron ensembles with time-delayed couplings subject to white noises, has been studied by using both direct simulations and a semi-analytical augmented moment method (AMM) which has been proposed in a recent paper [H. Hasegawa, E-print: cond-mat/0311021]. For NN-unit FN neuron ensembles, AMM transforms original 2N2N-dimensional {\it stochastic} delay differential equations (SDDEs) to infinite-dimensional {\it deterministic} DEs for means and correlation functions of local and global variables. Infinite-order recursive DEs are terminated at the finite level mm in the level-mm AMM (AMMmm), yielding 8(m+1)8(m+1)-dimensional deterministic DEs. When a single spike is applied, the oscillation may be induced if parameters of coupling strength, delay, noise intensity and/or ensemble size are appropriate. Effects of these parameters on the emergence of the oscillation and on the synchronization in FN neuron ensembles have been studied. The synchronization shows the {\it fluctuation-induced} enhancement at the transition between non-oscillating and oscillating states. Results calculated by AMM5 are in fairly good agreement with those obtained by direct simulations.Comment: 15 pages, 3 figures; changed the title with correcting typos, accepted in Phys. Rev. E with some change
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