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Open AccessArticle

Quadratic Spline Wavelets for Sparse Discretization of Jump–Diffusion Models

Department of Mathematics and Didactics of Mathematics, Technical University in Liberec, Studentská 2, Liberec 46117, Czech Republic
Symmetry 2019, 11(8), 999; https://doi.org/10.3390/sym11080999
Received: 29 June 2019 / Revised: 24 July 2019 / Accepted: 30 July 2019 / Published: 3 August 2019
(This article belongs to the Special Issue Symmetry in Special Functions and Orthogonal Polynomials)
This paper is concerned with a construction of new quadratic spline wavelets on a bounded interval satisfying homogeneous Dirichlet boundary conditions. The inner wavelets are translations and dilations of four generators. Two of them are symmetrical and two anti-symmetrical. The wavelets have three vanishing moments and the basis is well-conditioned. Furthermore, wavelets at levels i and j where i j > 2 are orthogonal. Thus, matrices arising from discretization by the Galerkin method with this basis have O 1 nonzero entries in each column for various types of differential equations, which is not the case for most other wavelet bases. To illustrate applicability, the constructed bases are used for option pricing under jump–diffusion models, which are represented by partial integro-differential equations. Due to the orthogonality property and decay of entries of matrices corresponding to the integral term, the Crank–Nicolson method with Richardson extrapolation combined with the wavelet–Galerkin method also leads to matrices that can be approximated by matrices with O 1 nonzero entries in each column. Numerical experiments are provided for European options under the Merton model. View Full-Text
Keywords: quadratic spline; wavelet; homogeneous boundary conditions; vanishing moments; sparse matrix; jump–diffusion model; Merton model quadratic spline; wavelet; homogeneous boundary conditions; vanishing moments; sparse matrix; jump–diffusion model; Merton model
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Černá, D. Quadratic Spline Wavelets for Sparse Discretization of Jump–Diffusion Models. Symmetry 2019, 11, 999.

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Symmetry, EISSN 2073-8994, Published by MDPI AG
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