Abstract
The goal of the paper is to propose a continuous technique for dealing with first-order linear mixed-type functional differential equations. The approach is established via the employment of the reproducing kernel functions and their nice property. The error results of the tests demonstrate that this approach can give good continuous approximations to the considerable problems.
Similar content being viewed by others
References
Rustichini, A.: Functional differential equations of mixed type: the linear autonomous case. J. Dyn. Differ. Equ. 1(2), 121–143 (1989)
Rustichini, A.: Hopf bifurcation of functional differential equations of mixed type. J. Dyn. Differ. Equ. 1(2), 145–177 (1989)
Iakovleva, V., Vanegas, C.: On the solutions of differential equations with delayed and advanced arguments. Electron. J. Differ. Equ. Conf. 13, 57–63 (2005)
Myshkis, A.: Stability of linear mixed functional–differential equations with commensurable deviations of the space argument. Differ. Equ. 38, 1415–1422 (2002)
Ford, N.J., Lumb, P.M.: Mixed-type functional differental equations: a numerical approach. J. Comput. Appl. Math. 229, 471–479 (2009)
Lima, P., Teodoro, M., Ford, N., Lumb, P.: Analytical and numerical investigation of mixed-type functional differential equations. J. Comput. Appl. Math. 234(9), 2826–2837 (2010)
Lima, P., Teodoro, M., Ford, N., Lumb, P.: Finite element solution of a linear mixed-type functional differential equation. Numer. Algorithms 55(2–3), 301–320 (2010)
Teodoro, F., Lima, P., Ford, N., Lumb, P.: New approach to the numerical solution of forward–backward equations. Front. Math. 4(1), 155–168 (2009)
Ford, N., Lumb, P., Lima, P., Teodoro, M.: The numerical solution of forward–backward differential equations: decomposition and related issues. J. Comput. Appl. Math. 234(9), 2745–2756 (2010)
Silva, C., Escalante, R.: Segmented Tau approximation for a forward–backward functional differential equation. Comput. Math. Appl. 62, 4582–4591 (2011)
Cui, M.G., Lin, Y.Z.: Nonlinear Numerical Analysis in Reproducing Kernel Space. Nova Science Pub Inc, Hauppauge (2009)
Li, X.Y., Wu, B.Y.: A new kernel functions based approach for solving 1-D interface problems. Appl. Math. Comput. 380, 125276 (2020)
Li, X.Y., Wu, B.Y.: A new reproducing kernel method for variable order fractional boundary value problems for functional differential equations. J. Comput. Appl. Math. 311, 387–393 (2017)
Li, X.Y., Wu, B.Y.: Error estimation for the reproducing kernel method to solve linear boundary value problems. J. Comput. Appl. Math. 243, 10–15 (2013)
Li, X.Y., Wu, B.Y.: A numerical technique for variable fractional functional boundary value problems. Appl. Math. Lett. 43, 108–113 (2015)
Ketabchi, R., Mokhtari, R., Babolian, E.: Some error estimates for solving Volterra integral equations by using the reproducing kernel method. J. Comput. Appl. Math. 273, 245–250 (2015)
Isfahani, F.T., Mokhtari, R., Loghmani, G.B., Mohammadi, M.: Numerical solution of some initial optimal control problems using the reproducing kernel Hilbert space technique. Int. J. Control 93, 1345–1352 (2020)
Isfahani, F.T., Mokhtari, R.: A numerical approach based on the reproducing kernel Hilbert space for solving a class of boundary value optimal control problems. Iran. J. Sci. Technol. A 42, 2309–2318 (2018)
Geng, F.Z., Wu, X.Y.: Reproducing kernel function-based Filon and Levin methods for solving highly oscillatory integral. Appl. Math. Comput. 397, 125980 (2021)
Geng, F.Z.: Numerical methods for solving Schröinger equations in complex reproducing kernel Hilbert spaces. Math. Sci. 14, 293–299 (2020)
Geng, F.Z., Qian, S.P.: Modified reproducing kernel method for singularly perturbed boundary value problems with a delay. Appl. Math. Model. 39, 5592–5597 (2015)
Geng, F.Z.: Piecewise reproducing kernel-based symmetric collocation approach for linear stationary singularly perturbed problems. AIMS Math. 5, 6020–6029 (2020)
Niu, J., Xu, M.Q., Yao, G.M.: An efficient reproducing kernel method for solving the Allen–Cahn equation. Appl. Math. Lett. 89, 78–84 (2019)
Jiang, W., Li, H.: Multi-scale orthogonal basis method for nonlinear fractional equations with fractional integral boundary value conditions. Appl. Math. Comput. 378, 125151 (2020)
Zhang, Y.Q., Lin, Y.Z., Shen, Y.: A new multiscale algorithm for solving second order boundary value problems. Appl. Numer. Math. 156, 528–541 (2020)
Abu Arqub, O., Maayah, B.: Fitted fractional reproducing kernel algorithm for the numerical solutions of ABC-fractional Volterra integro-differential equations. Chaos Solitons Fract. 126, 394–402 (2019)
Abu Arqub, O., Maayah, B.: Modulation of reproducing kernel Hilbert space method for numerical solutions of Riccati and Bernoulli equations in the Atangana-Baleanu fractional sense. Chaos Solitons Fract. 25, 163–170 (2019)
Bakhtiari, P., Abbasbandy, S., Van Gorder, R.A.: Solving the Dym initial value problem in reproducing kernel space. Numer. Algorithms 78, 405–421 (2018)
Sahihi, H., Allahviranloo, T., Abbasbandy, S.: Solving system of second-order BVPs using a new algorithm based on reproducing kernel Hilbert space. Appl. Numer. Math. 151, 27–39 (2020)
Sahihi, H., Abbasbandy, S., Allahviranloo, T.: Computational method based on reproducing kernel for solving singularly perturbed differential-difference equations with a dela. Appl. Math. Comput. 361, 583–598 (2019)
Allahviranloo, T., Sahihi, H.: Reproducing kernel method to solve parabolic partial differential equations with nonlocal conditions. Numer. Methods Partial Differ. Equ. 36, 1758–1772 (2020)
Akgül, A.: Reproducing kernel Hilbert space method based on reproducing kernel functions for investigating boundary layer flow of a Powell-Eyring non-Newtonian fluid. J. Taibah Univ. Sci. 13, 858–863 (2019)
Akgül, A., Ahmad, H.: Reproducing kernel method for Fangzhu’s oscillator for water collection from air. Math. Method Appl. Sci. (2021). https://doi.org/10.1002/mma.6853
Akgül, A.: A new application of the reproducing kernel method. Discrete Cont. Dyn. Syst. J. (2020). https://doi.org/10.3934/dcdss.2020261
Akgül, A., Grow, D.: Existence of unique solutions to the Telegraph equation in binary reproducing kernel Hilbert spaces. Differ. Equ. Dyn. Syst. 28, 715–744 (2020)
Akgül, A., Inc, M., Hashemi, M.S.: Group preserving scheme and reproducing kernel method for the Poisson–Boltzmann equation for semiconductor devices. Nonlinear Dyn. 88, 1–13 (2017)
Inc, M., Akgül, A., Geng, F.: Reproducing kernel Hilbert space method for solving Bratu’s problem. Bull. Malays. Math. Sci. Soc. 38, 271–287 (2015)
Akgül, E.K., Akgül, A., Khan, Y.: Representation for the reproducing kernel Hilbert space method for a nonlinear system. Hacet. J. Math. Stat. 48, 1345–1355 (2019)
Akgül, A., Inc, M., Karatas, E.: Reproducing kernel functions for difference equations. Discrete Cont. Dyn. Syst. J. 18, 1055–1064 (2015)
Raza, A., Khan, A.: Haar wavelet series solution for solving neutral delay differential equations. J. King Saud Univ. Sci. 31, 1070–1076 (2019)
Acknowledgements
This work was supported by the National Natural Science Foundation of China (Grant No. 11801044, 11326237).
Author information
Authors and Affiliations
Corresponding authors
Additional information
Publisher's Note
Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Rights and permissions
About this article
Cite this article
Gao, Y., Li, X.Y. & Wu, B.Y. A continuous kernel functions method for mixed-type functional differential equations. Math Sci 16, 177–182 (2022). https://doi.org/10.1007/s40096-021-00409-1
Received:
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1007/s40096-021-00409-1