对量子力学中出现的一维时间分数施罗丁格问题的分析研究
Muhammad Nadeem1, Yahya Alsayaad2
1School of Mathematics and Statistics, Qujing Normal University, Qujing, 655011, China. nadeem@mail.qjnu.edu.cn.
Scientific reports
|May 31, 2024
概括
研究人员开发了一种新的Sumudu变换剩余功率序列方法 (ST-RPSM) 用于解决量子力学中的小数非线性施罗丁格方程. 这种有效的数值技术提供了准确的解决方案,没有约束.
科学领域:
- 量子力学就是量子力学.
- 应用数学 应用数学 应用数学
- 非线性动力学是一种非线性动力学.
背景情况:
- 非线性施罗丁格方程 (NLSE) 对于描述波浪现象至关重要.
- 分数计算将古典微积分扩展到非整数顺序,为复杂系统提供更丰富的模型.
- 在分析和数值上解决分数非线性局部微分方程 (PDEs) 仍然是一个重大挑战.
研究的目的:
- 介绍和分析Sumudu变换剩余功率序列方法 (ST-RPSM) 用于解决一维的时间分数非线性施罗丁格方程.
- 为了证明拟议的ST-RPSM对非线性分数模型的有效性和简单性.
- 为研究用分数NLSE描述的量子力学现象提供一个强大的数值方法.
主要方法:
- 该研究采用Sumudu变换剩余功率序列方法 (ST-RPSM),这是一种混合技术,结合了Sumudu变换 (ST) 和剩余功率序列方法 (RPSM).
- 分数衍生品是在Caputo意义上考虑的.
- 该方法通过连续代生成解决方案,确保快速融合.
主要成果:
- ST-RPSM成功地为时间分数非线性施罗丁格方程提供了分析和数值解决方案.
- 拟议的技术不需要初步假设或变量约束,提高其适用性.
- 图形表示说明了各种分数顺序的解决方案的行为,使用Mathematica软件验证.
结论:
- ST-RPSM是作为一个真实,有效和简单的数值方案来处理非线性分数模型.
- 该方法能够实现快速趋同到精确的解决方案,这突显了它在量子力学及其他领域复杂问题的潜力.
- 这项工作为科学研究中的小数非线性PDEs分析提供了有价值的工具.
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