40,308 research outputs found

    Numerical approximations for population growth model by Rational Chebyshev and Hermite Functions collocation approach: A comparison

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    This paper aims to compare rational Chebyshev (RC) and Hermite functions (HF) collocation approach to solve the Volterra's model for population growth of a species within a closed system. This model is a nonlinear integro-differential equation where the integral term represents the effect of toxin. This approach is based on orthogonal functions which will be defined. The collocation method reduces the solution of this problem to the solution of a system of algebraic equations. We also compare these methods with some other numerical results and show that the present approach is applicable for solving nonlinear integro-differential equations.Comment: 18 pages, 5 figures; Published online in the journal of "Mathematical Methods in the Applied Sciences

    Topological phase in one-dimensional interacting fermion system

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    We study a one-dimensional interacting topological model by means of exact diagonalization method. The topological properties are firstly examined with the existence of the edge states at half-filling. We find that the topological phases are not only robust to small repulsive interactions but also are stabilized by small attractive interactions, and also finite repulsive interaction can drive a topological non-trivial phase into a trivial one while the attractive interaction can drive a trivial phase into a non-trivial one. Next we calculate the Berry phase and parity of the bulk system and find that they are equivalent in characterizing the topological phases. With them we obtain the critical interaction strengths and construct part of the phase diagram in the parameters space. Finally we discuss the effective Hamiltonian at large-U limit and provide additional understanding of the numerical results. Our these results could be realized experimentally using cold atoms trapped in the 1D optical lattice.Comment: 7 pages, 5 figures; revised version, references added, Accepted for publication in Physical Review

    Optimal Monetary Policy Rules in A Simple Stochastic Macro Model: China's Evidence

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    In this paper we apply a simple macro model to explore and evaluate certain optimal monetary policy rules for China's economy. To be more consistent with the central bank (the People's Bank of China)'s behaviour, we use money supply as a monetary policy instrument rather than the commonly used interest rate. Policy rules are optimal in terms of minimizing the predetermined loss functions, and the parameters of these rules are determined by stochastic simulation. Different forms of policy rule and loss function are considered, especially for exchange rate volatility and money supply volatility. The optimality of monetary policy rules is evaluated by comparing the shifts of policy frontiers.Monetary Policy Rule, Loss Function, Stochastic Simulation, Policy Frontier, China

    An approximate solution of the MHD Falkner-Skan flow by Hermite functions pseudospectral method

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    Based on a new approximation method, namely pseudospectral method, a solution for the three order nonlinear ordinary differential laminar boundary layer Falkner-Skan equation has been obtained on the semi-infinite domain. The proposed approach is equipped by the orthogonal Hermite functions that have perfect properties to achieve this goal. This method solves the problem on the semi-infinite domain without truncating it to a finite domain and transforming domain of the problem to a finite domain. In addition, this method reduces solution of the problem to solution of a system of algebraic equations. We also present the comparison of this work with numerical results and show that the present method is applicable.Comment: 15 pages, 4 figures; Published online in the journal of "Communications in Nonlinear Science and Numerical Simulation

    Dynamic hydration valve controlled ion permeability and stability of NaK channel

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    The K^+^, Na^+^, Ca^2+^ channels are essential to neural signalling, but our current knowledge at atomic level is mainly limited to that of K^+^ channels. Unlike a K^+^ channel having four equivalent K^+^-binding sites in its selectivity filter, a NaK channel conducting both Na^+^ and K^+^ ions has a vestibule in the middle part of its selectivity filter, in which ions can diffuse but not bind specifically. However, how the NaK channel conducts ions remains elusive. Here we find four water grottos connecting with the vestibule of the NaK selectivity filter. Molecular dynamics and free energy calculations show that water molecules moving in the vestibule-grotto complex hydrate and stabilize ions in the filter and serve as a valve in conveying ions through the vestibule for controllable ion permeating. During ion conducting, the water molecules are confined within the valve to guarantee structure stability. The efficient exquisite hydration valve should exist and play similar roles in the large family of cyclic nucleotide-gated channels which have similar selectivity filter sequences. The exquisite hydration valve mechanism may shed new light on the importance of water in neural signalling

    Thermal entanglement in a two-spin-qutrit system under a nonuniform external magnetic field

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    The thermal entanglement in a two-spin-qutrit system with two spins coupled by exchange interaction under a magnetic field in an arbitrary direction is investigated. Negativity, the measurement of entanglement, is calculated. We find that for any temperature the evolvement of negativity is symmetric with respect to magnetic field. The behavior of negativity is presented for four different cases. The results show that for different temperature, different magnetic field give maximum entanglement. Both the parallel and antiparallel magnetic field cases are investigated qualitatively (not quantitatively) in detail, we find that the entanglement may be enhanced under an antiparallel magnetic field.Comment: 2 eps figure

    Efficient Approximation Algorithms for Multi-Antennae Largest Weight Data Retrieval

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    In a mobile network, wireless data broadcast over mm channels (frequencies) is a powerful means for distributed dissemination of data to clients who access the channels through multi-antennae equipped on their mobile devices. The δ\delta-antennae largest weight data retrieval (δ\deltaALWDR) problem is to compute a schedule for downloading a subset of data items that has a maximum total weight using δ\delta antennae in a given time interval. In this paper, we propose a ratio 11eϵ1-\frac{1}{e}-\epsilon approximation algorithm for the δ\delta-antennae largest weight data retrieval (δ\deltaALWDR) problem that has the same ratio as the known result but a significantly improved time complexity of O(21ϵ1ϵm7T3.5L)O(2^{\frac{1}{\epsilon}}\frac{1}{\epsilon}m^{7}T^{3.5}L) from O(ϵ3.5m3.5ϵT3.5L)O(\epsilon^{3.5}m^{\frac{3.5}{\epsilon}}T^{3.5}L) when δ=1\delta=1 \cite{lu2014data}. To our knowledge, our algorithm represents the first ratio 11eϵ1-\frac{1}{e}-\epsilon approximation solution to δ\deltaALWDR for the general case of arbitrary δ\delta. To achieve this, we first give a ratio 11e1-\frac{1}{e} algorithm for the γ\gamma-separated δ\deltaALWDR (δ\deltaAγ\gammaLWDR) with runtime O(m7T3.5L)O(m^{7}T^{3.5}L), under the assumption that every data item appears at most once in each segment of δ\deltaAγ\gammaLWDR, for any input of maximum length LL on mm channels in TT time slots. Then, we show that we can retain the same ratio for δ\deltaAγ\gammaLWDR without this assumption at the cost of increased time complexity to O(2γm7T3.5L)O(2^{\gamma}m^{7}T^{3.5}L). This result immediately yields an approximation solution of same ratio and time complexity for δ\deltaALWDR, presenting a significant improvement of the known time complexity of ratio 11eϵ1-\frac{1}{e}-\epsilon approximation to the problem
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