This paper is concerned with orthonormal systems in real intervals, given with zero Dirichlet boundary conditions. More specifically, our interest is in systems with a skew-symmetric differentiation matrix (this excludes orthonormal polynomials). We consider a simple construction of such systems and pursue its ramifications. In general, given any $\mathrm{C}^1(a,b)$ weight function such that $w(a)=w(b)=0$, we can generate an orthonormal system with a skew-symmetric differentiation matrix. Except for the case $a=-\infty$, $b=+\infty$, only a limited number of powers of that matrix is bounded and we establish a connection between properties of the weight function and boundedness. In particular, we examine in detail two weight functions: the Laguerre weight function $x^α\mathrm{e}^{-x}$ for $x>0$ and $α>0$ and the ultraspherical weight function $(1-x^2)^α$, $x\in(-1,1)$, $α>0$, and establish their properties. Both weights share a most welcome feature of {\em separability,\/} which allows for fast computation. The quality of approximation is highly sensitive to the choice of $α$ and we discuss how to choose optimally this parameter, depending on the number of zero boundary conditions.
Convergence rates of spectral orthogonal projection approximation for functions of algebraic and logarithmatic regularities
基于雅可比多项式与Bessel函数之间的Hilb型公式,应用van der Corput型引理,导出了奇异函数Jacobi展开系数的最优衰减率,从而得到了Jacobi、Gegenbauer和Chebyshev正交投影上的最优收敛速度.有趣的是,对于边界奇点,随着$(α,β)$和$λ$的增加,可以在Jacobi或Gegenbauer投影上获得更快的收敛速度。参数值越大,可以实现越高的收敛速度。特别地,勒让德投影比切比雪夫投影高半阶。而且,当$\min\{α,β\}>0$和$λ>\frac{1}{2}$满足条件时,Jacobi和Gegenbauer正交投影的收敛阶数比Legendre投影的收敛阶数高.而对于内部奇异性,收敛阶与$(α,β)$和$λ$无关.
A strong second-order two-stage explicit/implicit technique with spectral orthogonal basis Galerkin finite element method for two-dimensional Gray-Scott model
Imam Mohammad Ibn Saud Islamic University (IMSIU)(伊玛目穆罕默德·伊本·沙特伊斯兰大学)
A fully diagonalized spectral method using generalized Laguerre functions on the half line
Department of Mathematics, Shanghai Normal University(上海师范大学数学系);School of Science, Henan Institute of Engineering(河南工程学院理学院);School of Science, University of Shanghai for Science and Technology(上海理工大学理学院);State Key Laboratory of Computer Science/Laboratory of Parallel Computing, Institute of Software, Chinese Academy of Sciences(中国科学院软件研究所计算机科学与技术国家重点实验室/并行计算实验室)
A non-intrusive reduced-order modelling for uncertainty propagation of time-dependent problems using a B-splines Bézier elements-based method and Proper Orthogonal Decomposition: application to dam-break flows
Spectral Lanczos' tau method for systems of nonlinear integro-differential equations
Center of Mathematics at University of Porto(波尔图大学数学中心);Economics Faculty at University of Porto(波尔图大学经济学院);Politechnic School of Engeneering Porto(波尔图理工学院);University of Porto(波尔图大学)
New Orthogonal Multiwavelet Filters Derived by Matrix Spectral Factorization
Institute of Information and Communication Technologies, Bulgarian Academy of Sciences(保加利亚科学院信息与通信技术研究所);Wireless Technology Center, Purdue University(普渡大学无线技术中心);Department of Mathematics, Iowa State University(爱荷华州立大学数学系)