会议论文详细信息
2019 5th International Conference on Energy Materials and Environment Engineering
Study on two - dimensional linear harmonic oscillator characteristics based on MATLAB software
能源学;生态环境科学
Fu, Xijin^1
Department of Physics, College of Electrical Engineering, Longdong University, Qingyang
745000, China^1
关键词: Basic characteristics;    Classical mechanics;    Distribution curves;    Distribution probability;    Harmonic oscillators;    Linear harmonic oscillator;    Probability densities;    Simulation images;   
Others  :  https://iopscience.iop.org/article/10.1088/1755-1315/295/3/032042/pdf
DOI  :  10.1088/1755-1315/295/3/032042
学科分类:环境科学(综合)
来源: IOP
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【 摘 要 】

Based on the theory of quantum mechanics, this paper systematically analyzes the basic characteristics of n-dimensional linear harmonic oscillator in quantum mechanics, focuses on the eigenfunction and probability density of one-dimensional harmonic oscillator, and simulates the eigenfunction and probability density of some energy levels with MATLAB software. Finally, MATLAB software was used to compare the probability distribution of linear harmonic oscillator in classical mechanics and quantum mechanics. The results indicate that the number of points of intersection between a wave function and a p=0 line is n; The probability distribution satisfies the normalization condition; Taking different values of n, the probability distribution function of harmonic oscillator in quantum mechanics has n different nodes, and the amplitude of harmonic oscillator in classical mechanics also changes accordingly. p0 by the ground state probability distribution of quantum mechanics and classical mechanics distribution probability of the simulation image can be seen that the shape of the two distribution curve is the opposite, but when n is large, the probability density of quantum mechanics |φn (ξ)|2 local average and classical probability distribution P(ξ), that is, classical mechanics and quantum mechanics ZhongZhen gradually increase the probability distribution of similarity. These results are reflected in the image, and the characteristics shown in the image are consistent with the theoretical results.

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