Journal of Mathematics

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Advances in Barycentric Interpolation Methods and their Applications

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Research Article | Open Access

Volume 2021 |Article ID 8874432 | https://doi.org/10.1155/2021/8874432

Qian Ge, Xiaoping Zhang, "Linear Barycentric Rational Method for Two-Point Boundary Value Equations", Journal of Mathematics, vol. 2021, Article ID 8874432, 5 pages, 2021. https://doi.org/10.1155/2021/8874432

Linear Barycentric Rational Method for Two-Point Boundary Value Equations

Academic Editor: Ljubisa Kocinac
Received22 Sep 2020
Revised22 Oct 2020
Accepted24 Mar 2021
Published13 Apr 2021

Abstract

Linear barycentric rational method for solving two-point boundary value equations is presented. The matrix form of the collocation method is also obtained. With the help of the convergence rate of the interpolation, the convergence rate of linear barycentric rational collocation method for solving two-point boundary value problems is proved. Several numerical examples are provided to validate the theoretical analysis.

1. Introduction

The analysis of many physical phenomena and engineering problems can be reduced to solving the boundary value problem of differential equation, most of which need to be solved by the numerical method. The barycentric interpolation method is a high precision calculation method, and a strong form of collocation that relies on differential equation, which has been studied extensively by many scholars. The linear barycentric rational method (LBRM) [13] has been used to solve certain problems such as delay Volterra integro-differential equations [4], Volterra integral equations [57], biharmonic equation [8], beam force vibration equation [9], boundary value problems [10], heat conduction problems [11], plane elastic problems [12], incompressible plane elastic problems [13], nonlinear problems [14], and so on [1, 15].

In this article, we pay our attention to the numerical solution of two-point boundary value problems:

Let the interval be partitioned into uniform part with and with its related function . For any , with , to be the interpolation function at the point , then we have , andwhere

Change the polynomial into the Lagrange interpolation form as

Combining (7) and (5) together, we getwhere and .

Then we getwhere its basis function is

For the equidistant point, its weight function is

The Chebyshev point of the second kind isand its weight function is

Consider the barycentric interpolation function asand the numerical scheme is given as

By using the notation of the differential matrix, equation (13) is denoted as matrices in the form ofwhere .

Equation (13) is written as matrices in the form ofwhere and . Using interpolation formulas, boundary conditions can be discretized into

2. Convergence and Error Analysis

With the error function of difference formulaandwhere . Taking the numerical scheme

Combining (20) and (1), we havewhere .

The following Lemma has been proved by Jean-Paul Berrut in [13].

Lemma 1 (see [13]). For defined in (18), we haveLet be the solution of (1) and is the numerical solution, then we haveand

The results can be obtained in the reference of [14].

Based on the above lemma, we derive the following theorem.

Theorem 1. Let , and , we have

Proof. As , whereandPutting column 2, column 3, column n added to column 1, we havewhich means the matrix is the singular matrix.
Similarly we haveand then we assume with , , where. .
Bywhich meanswhere is the element of matrix .
Then we haveThe proof is completed.
We know that the central difference method can achieve quadratic convergence and the convergence order is the same as that of d = 3. When d >3, the convergence of the barycentric rational method is better than that of the central difference method.

3. Numerical Example

Example 1. Consider the two-point boundary value:and its analysis solution isIn this example, we consider the two-point boundary value equations with the boundary condition . In Table 1, the convergence rate of equidistant nodes with different is ; in Table 2, the convergence rate of the Chebyshev point of the second kind with different is . From Theorem 1, the convergence rate is , and there are no convergence rates as . Here the convergence rate is and in Tables 1 and 2 for , respectively, and we will give exact analysis in other paper.



105.6796e − 024.7174e − 023.6770e − 022.9692e − 022.5240e − 02
203.1866e − 022.0707e − 021.2295e − 027.5473e − 034.6949e − 03
401.1899e − 024.8530e − 031.8024e − 036.8958e − 042.6519e − 04
804.0465e − 038.2037e − 041.7027e − 043.6416e − 057.8060e − 06
1601.4721e − 031.1821e − 041.2993e − 051.4706e − 061.6657e − 07
3204.9182e − 041.5796e − 058.9500e − 075.2131e − 083.0430e − 09
6401.5719e − 042.0375e − 065.8674e − 081.7409e − 095.1202e − 11



104.7235e − 023.4143e − 022.3198e − 021.0658e − 024.2299e − 03
202.0966e − 024.9675e − 032.3057e − 031.5490e − 031.0185e − 03
405.0812e − 033.3376e − 047.5530e − 053.1018e − 051.2517e − 05
801.2482e − 032.0099e − 052.1222e − 064.5138e − 079.5181e − 08
1602.9995e − 041.2091e − 066.1512e − 086.5988e − 096.9630e − 10
3207.3360e − 057.3634e − 081.8414e − 091.0610e − 102.8788e − 10
6401.8092e − 054.5328e − 095.7970e − 111.5463e − 106.0430e − 09

Example 2. Consider the two-point boundary value.with the boundary conditionand its analysis solution isIn this example, we consider the variable coefficient of two-point boundary value equations with the boundary condition . In Table 3, the convergence rate of equidistant nodes with different is ; in Table 4, the convergence rate of the Chebyshev point of second kind with different is .



103.1903e + 005.8183e + 004.2584e + 003.3515e + 003.8150e + 00
209.0854e − 011.8487e − 014.7472e − 025.6182e − 022.1227e − 02
401.9690e − 013.8711e − 025.9273e − 041.9234e − 044.9300e − 05
804.4235e − 023.9481e − 034.9399e − 062.3577e − 062.4228e − 07
1609.6887e − 033.4240e − 041.9523e − 071.9939e − 082.8181e − 09
3202.0060e − 032.7549e − 055.5624e − 091.6331e − 097.9052e − 08
6403.7877e − 042.1177e − 061.0976e − 092.1374e − 081.2137e − 06



101.3687e + 011.0866e + 022.9315e + 026.7980e + 021.4700e + 03
202.9375e + 002.2412e + 012.0846e + 012.2744e + 003.1001e + 01
401.0678e + 004.9833e + 009.5860e − 011.3524e + 007.5788e − 01
804.4216e − 011.1571e + 002.6706e − 029.3346e − 028.5273e − 03
1601.9821e − 012.7788e − 011.7104e − 035.6811e − 032.5039e − 05
3209.3181e − 026.8032e − 024.9655e − 043.4460e − 042.6914e − 06
6404.5032e − 021.6827e − 027.8365e − 052.1132e − 051.3480e − 07

4. Concluding Remarks

In this paper, the numerical approximation of linear barycentric rational collocation method for solving two-point boundary value equations is presented. The matrix form of the algorithm is given for the simple calculation; with the help of Newton formula, the error function of the convergence rate is also obtained. For the constant coefficient and variable coefficient of two-point boundary value equations, numerical results show that the convergence rate can reach for the equidistant nodes and for the Chebyshev point of the second kind with . For the special case of , there are still convergence rates with , and the analysis of this phenomenon will be presented in other papers.

Data Availability

The data that support the findings of this study are available from the corresponding author upon reasonable request.

Conflicts of Interest

The authors declare that they have no conflicts of interest.

Acknowledgments

The support from the Nature Science Foundation of Shandong (No. ZR2019PA021) is gratefully acknowledged.

References

  1. M. S. Floater and K. Hormann, “Barycentric rational interpolation with no poles and high rates of approximation,” Numerische Mathematik, vol. 107, no. 2, pp. 315–331, 2007. View at: Publisher Site | Google Scholar
  2. G. Klein and J.-P. Berrut, “Linear rational finite differences from derivatives of barycentric rational interpolants,” SIAM Journal on Numerical Analysis, vol. 50, no. 2, pp. 643–656, 2012. View at: Publisher Site | Google Scholar
  3. G. Klein and J.-P. Berrut, “Linear barycentric rational quadrature,” BIT Numerical Mathematics, vol. 52, no. 2, pp. 407–424, 2012. View at: Publisher Site | Google Scholar
  4. A. Abdi and J.-P. BerrutA. H. Seyyed, ““The linear barycentric rational method for a class of delay volterra integro-differential equations,” Journal of Scientific Computing, vol. 75, no. 3, pp. 1757–1775, 2018. View at: Google Scholar
  5. J. P. Berrut, S. A. Hosseini, and G. Klein, “The linear barycentric rational quadrature method for Volterra integral equations,” SIAM Journal on Scientific Computing, vol. 36, no. 1, pp. 105–123, 2014. View at: Publisher Site | Google Scholar
  6. J. Li and Y. L. Cheng, “Linear barycentric rational collocation method for solving second-order Volterra integro-differential equation,” Computational and Applied Mathematics, vol. 92, 2020. View at: Publisher Site | Google Scholar
  7. M. Li and C. Huang, “The linear barycentric rational quadrature method for auto-convolution Volterra integral equations,” Journal of Scientific Computing, vol. 78, no. 1, pp. 549–564, 2019. View at: Publisher Site | Google Scholar
  8. J.-Y. Greengard and L. Greengardz, “A fast adaptive numerical method for stiff two-point boundary value problems,” SIAM Journal on Scientific Computing, vol. 18, no. 2, pp. 403–429, 1997. View at: Publisher Site | Google Scholar
  9. J. Li and Y. L. Cheng, “Linear barycentric rational collocation method for solving heat conduction equation,” Numerical Methods for Partial Differential Equations, vol. 37, no. 1, pp. 533–545, 2020. View at: Publisher Site | Google Scholar
  10. Z. Wang, L. Zhang, Z. Xu, and J. Li, “Barycentric interpolation collocation method based on mixed displacement-stress formulation for solving plane elastic problems,” Chinese Journal of Applied Mechanics, vol. 35, no. 2, pp. 304–309, 2018. View at: Google Scholar
  11. Z. Wang, Z. Xu, and J. Li, “Mixed barycentric interpolation collocation method of displacement-pressure for incompressible plane elastic problems,” Chinese Journal of Applied Mechanics, vol. 35, no. 3, pp. 195–201, 2018. View at: Google Scholar
  12. Z. Wang and S. Li, Barycentric Interpolation Collocation Method for Nonlinear Problems, National Defense Industry Press, Beijing, China, 2015.
  13. E. Cirillo and K. Hormann, “On the Lebesgue constant of barycentric rational Hermite interpolants at equidistant nodes,” Journal of Computational and Applied Mathematics, vol. 349, pp. 292–301, 2019. View at: Publisher Site | Google Scholar
  14. J.-P. Berrut, M. S. Floater, and G. Klein, “Convergence rates of derivatives of a family of barycentric rational interpolants,” Applied Numerical Mathematics, vol. 61, no. 9, pp. 989–1000, 2011. View at: Publisher Site | Google Scholar
  15. L. Greengard, “Spectral integration and two-point boundary value problems,” SIAM Journal on Numerical Analysis, vol. 28, no. 4, pp. 1071–1080, 1991. View at: Publisher Site | Google Scholar

Copyright © 2021 Qian Ge and Xiaoping Zhang. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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