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Abstract

We present a Sinc Collocation Method (SCM) with Double Exponential (DE) transformations for non-linear parabolic partial differential equations (PDEs) on a bounded interval. For the time discretization, we use Crank-Nicolson (C-N) method for the linear part and Heun's method for the nonlinear part and observe second-order accuracy. In the spatial dimension we use Sinc collocation, which promises exponential order convergence for smooth decaying functions on the real line. The DE transformation allows this promise to be realized on a finite interval by mapping it to the real line. The transformation concentrates the collocation points near the ends of the interval, which allows the method to achieve high accuracy and order both at the collocation points and between them.

We compare SCM with various existing methods across a range of nonlinear parabolic PDEs with Dirichlet boundary conditions, such as Burgers' equation and several Reaction-Diffusion Equations (RDEs). For Burgers' equation with homogeneous Dirichlet boundary conditions, we mainly compare the SCM with a Hybrid Sinc-Finite Difference Method. Numerical tests confirms SCM's superior performance across various initial conditions and discretization settings. In particular, we show that the hybrid method has much larger errors between collocation points due to Runge's phenomenon. As expected, for non-smooth initial conditions the SCM-DE method only has first order convergence in space. For RDEs with non-homogeneous boundary conditions, we show that SCM is more accurate than several existing methods. Our result highlight SCM's efficiency and accuracy in handling various nonlinear problems.

Details

1010268
Title
Sinc Collocation Method for Solving Nonlinear Parabolic Partial Differential Equations With Dirichlet Boundary Conditions Using Exponential Transformations
Number of pages
100
Publication year
2025
Degree date
2025
School code
0167
Source
DAI-B 87/1(E), Dissertation Abstracts International
ISBN
9798286450930
Committee member
Neiman, Alexander; Wu, Qiliang
University/institution
Ohio University
Department
Mathematics (Arts and Sciences)
University location
United States -- Ohio
Degree
Ph.D.
Source type
Dissertation or Thesis
Language
English
Document type
Dissertation/Thesis
Dissertation/thesis number
32184382
ProQuest document ID
3226001722
Document URL
https://www.proquest.com/dissertations-theses/sinc-collocation-method-solving-nonlinear/docview/3226001722/se-2?accountid=208611
Copyright
Database copyright ProQuest LLC; ProQuest does not claim copyright in the individual underlying works.
Database
ProQuest One Academic