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Generalized Jacobi Polynomials/functions And Their Applications

机译:广义Jacobi多项式/函数及其应用

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摘要

We introduce a family of generalized Jacobi polynomials/functions with indexes α,β∈R which are mutually orthogonal with respect to the corresponding Jacobi weights and which inherit selected important properties of the classical Jacobi polynomials. We establish their basic approximation properties in suitably weighted Sobolev spaces. As an example of their applications, we show that the generalized Jacobi polynomials/functions, with indexes corresponding to the number of homogeneous boundary conditions in a given partial differential equation, are the natural basis functions for the spectral approximation of this partial differential equation. Moreover, the use of generalized Jacobi polynomials/functions leads to much simplified analysis, more precise error estimates and well conditioned algorithms.
机译:我们介绍了一系列索引为α,β∈R的广义Jacobi多项式/函数,它们相对于相应的Jacobi权重相互正交,并且继承了经典Jacobi多项式的选定重要性质。我们在适当加权的Sobolev空间中建立其基本逼近性质。作为其应用的示例,我们表明,具有对应于给定偏微分方程中齐次边界条件的数量的索引的广义Jacobi多项式/函数是该偏微分方程的频谱逼近的自然基础函数。此外,使用广义Jacobi多项式/函数可简化分析,提供更精确的误差估计和条件良好的算法。

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