Numerical simulation of the two-dimensional fractional Schrödinger equation for describing the quantum dynamics on a comb with the absorbing boundary conditions
Sitao Zhang , Lin Liu , Zhixia Ge , Yu Liu , Libo Feng , Jihong Wang
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引用次数: 0
Abstract
This paper mainly contributes to investigating a distinctive fractional Schrödinger equation (FSE) for describing the quantum dynamics on a comb. The special characteristic of the comb is that the diffusion versus the -direction only occurs on the -axis. We replace the infinite boundary with the absorbing boundary conditions (ABCs), which can be obtained using the Laplace transform. We utilize the integration property to deal with the singularity function in the FSE and propose the finite difference method. The stability and convergence of this scheme are investigated. The scheme to discretize the Caputo fractional derivative needs a particularly expensive computational and storage cost. To increase the calculation speed, a fast algorithm is used to improve the operation efficiency. By introducing a source term, the exact solution and the numerical solution are compared. The comparison of the CPU time for the scheme and fast scheme is given. The comparison between the FSE on a comb and the classical one is also analyzed and discussed. The transport process versus the -axis and the -axis with various parameters are shown. Finally, the mean square displacement (MSD) is investigated. We find that the solution with the ABCs has a better agreement with the exact expression compared to the solution with truncated zero boundary conditions.
本文主要致力于研究一种独特的分数薛定谔方程(FSE),用于描述梳子上的量子动力学。梳状体的特殊性在于,相对于 x 方向的扩散只发生在 x 轴上。我们用吸收边界条件(ABCs)取代了无限边界,它可以通过拉普拉斯变换得到。我们利用积分特性来处理 FSE 中的奇异函数,并提出了有限差分法。我们对该方法的稳定性和收敛性进行了研究。对 Caputo 分数导数进行离散化的 L1 方案需要特别昂贵的计算和存储成本。为了提高计算速度,采用了一种快速算法来提高运算效率。通过引入源项,比较了精确解和数值解。比较了 L1 方案和快速方案的 CPU 时间。此外,还分析和讨论了梳子上的 FSE 与经典 FSE 的比较。图中显示了不同参数下的传输过程与 x 轴和 y 轴的关系。最后,研究了均方位移(MSD)。我们发现,与采用截断零边界条件的解法相比,采用 ABC 的解法与精确表达式的一致性更好。
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The journal publishes original research findings on experimental observation, mathematical modeling, theoretical analysis and numerical simulation, for more accurate description, better prediction or novel application, of nonlinear phenomena in science and engineering. It offers a venue for researchers to make rapid exchange of ideas and techniques in nonlinear science and complexity.
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Topics of interest:
Nonlinear differential or delay equations, Lie group analysis and asymptotic methods, Discontinuous systems, Fractals, Fractional calculus and dynamics, Nonlinear effects in quantum mechanics, Nonlinear stochastic processes, Experimental nonlinear science, Time-series and signal analysis, Computational methods and simulations in nonlinear science and engineering, Control of dynamical systems, Synchronization, Lyapunov analysis, High-dimensional chaos and turbulence, Chaos in Hamiltonian systems, Integrable systems and solitons, Collective behavior in many-body systems, Biological physics and networks, Nonlinear mechanical systems, Complex systems and complexity.
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