Meshless collocation methods for time-dependent nonlocal problems based on radial basis functions

Qiao Zhuang , Yanzhi Zhang , Zhongqiang Zhang

Electronic Research Archive ›› 2026, Vol. 34 ›› Issue (2) : 1124 -1156.

PDF (779KB)
Electronic Research Archive ›› 2026, Vol. 34 ›› Issue (2) :1124 -1156. DOI: 10.3934/era.2026052
Research article
research-article
Meshless collocation methods for time-dependent nonlocal problems based on radial basis functions
Author information +
History +
PDF (779KB)

Abstract

We present radial basis function (RBF) collocation methods for time-dependent space-fractional problems on general bounded domains. Building on a recently developed approach for accurately computing the integral fractional Laplacian of any RBF, we design collocation schemes for fractional heat and Stokes equations using extended-domain techniques. In particular, we propose a numerical Leray projection method for fractional Stokes problems, where both the discrete projection operator and the collocation scheme are formulated on extended domains to handle complex domains. Numerical results demonstrate the effectiveness of the proposed methods in solving time-dependent nonlocal problems on complex domains.

Keywords

meshless collocation methods / time-dependent nonlocal problems / fractional heat equation / fractional Stokes equation / radial basis functions

Cite this article

Download citation ▾
Qiao Zhuang, Yanzhi Zhang, Zhongqiang Zhang. Meshless collocation methods for time-dependent nonlocal problems based on radial basis functions. Electronic Research Archive, 2026, 34 (2) : 1124-1156 DOI:10.3934/era.2026052

登录浏览全文

4963

注册一个新账户 忘记密码

References

[1]

K. Burrage, N. Hale, D. Kay, An efficient implicit FEM scheme for fractional-in-space reaction-diffusion equations, SIAM J. Sci. Comput., 34 (2012), A2145-A2172. https://doi.org/10.1137/110847007

[2]

L. Vázquez, J. J. Trujillo, M. Pilar Velasco, Fractional heat equation and the second law of thermodynamics, Fract. Calc. Appl. Anal., 14 (2011), 334-342. https://doi.org/10.2478/s13540-011-0021-9

[3]

Asifa, T. Anwar, P. Kumam, M. Y. Almusawa, S. A. Lone, P. Suttiarporn, Exact solutions via prabhakar fractional approach to investigate heat transfer and flow features of hybrid nanofluid subject to shape and slip effects, Sci. Rep., 13 (2023), 7810. https://doi.org/10.1038/s41598-023-34259-9

[4]

M. Gunzburger, N. Jiang, F. Xu, Analysis and approximation of a fractional Laplacian-based closure model for turbulent flows and its connection to Richardson pair dispersion, Comput. Math. Appl., 75 (2018), 1973-2001. https://doi.org/10.1016/j.camwa.2017.06.035

[5]

B. P. Epps, B. Cushman-Roisin, Turbulence modeling via the fractional Laplacian, preprint, arXiv:1803.05286.

[6]

S. Hittmeir, S. Merino-Aceituno, Kinetic derivation of fractional Stokes and Stokes-Fourier systems, Kinet. Rel. Models, 9 (2016), 105-129. https://doi.org/10.3934/krm.2016.9.105

[7]

S. Lin, M. Azaïez, C. Xu, A fractional Stokes equation and its spectral approximation, Int. J. Numer. Anal. Model., 15 (2018), 170-192.

[8]

H. Wang, T. S. Basu, A fast finite difference method for two-dimensional space-fractional diffusion equations, SIAM J. Sci. Comput., 34 (2012), A2444-A2458. https://doi.org/10.1137/12086491X

[9]

K. Sayevand, J. T. Machado, V. Moradi, A new non-standard finite difference method for analyzing the fractional Navier-Stokes equations, Comput. Math. Appl., 78 (2019), 1681-1694. https://doi.org/10.1016/j.camwa.2018.12.016

[10]

X. Li, X. You, Mixed finite element methods for fractional Navier-Stokes equations, J. Comput. Math., 39 (2021), 130-146. https://doi.org/10.4208/jcm.1911-m2018-0153

[11]

Y. Jiao, T. Li, Z. Zhang, Jacobi spectral collocation method of space-fractional Navier-Stokes equations, Appl. Math. Comput., 488 (2025), 129111. https://doi.org/10.1016/j.amc.2024.129111

[12]

A. Bueno-Orovio, D. Kay, K. Burrage, Fourier spectral methods for fractional-in-space reaction-diffusion equations, BIT Numer. Math., 54 (2014), 937-954. https://doi.org/10.1007/s10543-014-0484-2

[13]

J. A. Rosenfeld, S. A. Rosenfeld, W. E. Dixon, A mesh-free pseudospectral approach to estimating the fractional Laplacian via radial basis functions, J. Comput. Phys., 390 (2019), 306-322. https://doi.org/10.1016/j.jcp.2019.02.015

[14]

J. Burkardt, Y. Wu, Y. Zhang, A unified meshfree pseudospectral method for solving both classical and fractional PDEs, SIAM J. Sci. Comput., 43 (2021), A1389-A1411. https://doi.org/10.1137/20M1335959

[15]

Y. Wu, Y. Zhang, Variable-order fractional laplacian and its accurate and efficient computations with meshfree methods, J. Sci. Comput., 99 (2024), 18. https://doi.org/10.1007/s10915-024-02472-x

[16]

Z. Hao, Z. Cai, Z. Zhang, Fractional-order dependent radial basis functions meshless methods for the integral fractional laplacian, Comput. Math. Appl., 178 (2025), 197-213. https://doi.org/10.1016/j.camwa.2024.11.027

[17]

X. G. Zhu, Y. F. Nie, Z. H. Ge, Z. B. Yuan, J. G. Wang, A class of RBFs-based DQ methods for the space-fractional diffusion equations on 3d irregular domains, Comput. Mech., 66 (2020), 221-238. https://doi.org/10.1007/s00466-020-01848-8

[18]

J. Liu, X. Li, X. Hu, A RBF-based differential quadrature method for solving two-dimensional variable-order time fractional advection-diffusion equation, J. Comput. Phys., 384 (2019), 222-238. https://doi.org/10.1016/j.jcp.2018.12.043

[19]

B. Fornberg, C. Piret, A stable algorithm for flat radial basis functions on a sphere, SIAM J. Sci. Comput., 30 (2008), 60-80. https://doi.org/10.1137/060671991

[20]

B. Fornberg, E. Larsson, N. Flyer, Stable computations with Gaussian radial basis functions, SIAM J. Sci. Comput., 33 (2011), 869-892. https://doi.org/10.1137/09076756X

[21]

E. Hanert, C. Piret, Numerical solution of the space-time fractional diffusion equation: Alternatives to finite differences, in Proceedings of the 5th Symposium on Fractional Differentiation and its Applications , 2012.

[22]

R. Cavoretto, A. De Rossi, M. Donatelli, S. Serra-Capizzano, Spectral analysis and preconditioning techniques for radial basis function collocation matrices, Numer. Linear Algebra Appl., 19 (2012), 31-52. https://doi.org/10.1002/nla.774

[23]

S. Kumar, C. Piret, Numerical solution of space-time fractional PDEs using RBF-QR and Chebyshev polynomials, Appl. Numer. Math., 143 (2019), 300-315. https://doi.org/10.1016/j.apnum.2019.04.012

[24]

Q. Zhuang, A. Heryudono, F. Zeng, Z. Zhang, Collocation methods for integral fractional Laplacian and fractional PDEs based on radial basis functions, Appl. Math. Comput., 469 (2024), 128548. https://doi.org/10.1016/j.amc.2024.128548

[25]

M. Kwaśnicki, Ten equivalent definitions of the fractional Laplace operator, Fract. Calc. Appl. Anal., 20 (2017), 7-51. https://doi.org/10.1515/fca-2017-0002

[26]

N. S. Landkof, Foundations of Modern Potential Theory , Grundlehren der mathematischen Wissenschaftern, Springer, 1972.

[27]

S. G. Samko, A. A. Kilbas, O. I. Marichev, Fractional Integrals and Derivatives: Theory and Applications , Gordon and Breach Science Publishers, Yverdon, 1993.

[28]

M. Mori, M. Sugihara, The double-exponential transformation in numerical analysis, J. Comput. Appl. Math., 127 (2001), 287-296. https://doi.org/10.1016/S0377-0427(00)00501-X

[29]

E. J. Fuselier, V. Shankar, G. B. Wright, A high-order radial basis function (RBF) Leray projection method for the solution of the incompressible unsteady Stokes equations, Comput. Fluids, 128 (2016), 41-52. https://doi.org/10.1016/j.compfluid.2016.01.009

[30]

E. J. Fuselier, G. B. Wright, A radial basis function method for computing Helmholtz-Hodge decompositions, IMA J. Numer. Anal., 37 (2017), 774-797. https://doi.org/10.1093/imanum/drw027

[31]

H. Wendland, Scattered Data Approximation , Cambridge University Press, Cambridge, 2005. https://doi.org/10.1017/CBO9780511617539.002

[32]

T. Gneiting, Strictly and non-strictly positive definite functions on spheres, Bernoulli, 19 (2013), 1327-1349. https://doi.org/10.3150/12-BEJSP06

[33]

C. Foias, O. Manley, R. Rosa, R. Temam, Navier-Stokes Equations and Turbulence , Cambridge University Press, 2001. https://doi.org/10.1017/CBO9780511546754

[34]

H. Helmholtz, Über integrale der hydrodynamischen gleichungen, welche den wirbelbewegungen entsprechen, J. Reine Angew. Math., 55 (1858), 25-55. https://doi.org/10.1515/crll.1858.55.25

[35]

H. Wendland, Divergence-free kernel methods for approximating the Stokes problem, SIAM J. Numer. Anal., 47 (2009), 3158-3179. https://doi.org/10.1137/080730299

[36]

A. J. Chorin, J. E. Marsden, A Mathematical Introduction to Fluid Mechanics , Springer New York, 1993. https://doi.org/10.1007/978-1-4612-0883-9

[37]

J. Neustupa, P. Penel, The Navier-Stokes equation with slip boundary conditions, RIMS Kokyuroku, 1536 (2007), 46-57.

[38]

R. J. LeVeque, Finite Difference Methods for Ordinary and Partial Differential Equations: Steady-State and Time-Dependent Problems , Society for Industrial and Applied Mathematics, 2007. https://doi.org/10.1137/1.9780898717839

[39]

I. Akramov, S. Götschel, M. Minion, D. Ruprecht, R. Speck, Spectral deferred correction methods for second-order problems, SIAM J. Sci. Comput., 46 (2024), A1690-A1713. https://doi.org/10.1137/23M1592596

[40]

J. Wang, X. Chen, J. Chen, A high-precision numerical method based on spectral deferred correction for solving the time-fractional Allen-Cahn equation, Comput. Math. Appl., 180 (2025), 1-27. https://doi.org/10.1016/j.camwa.2024.11.034

[41]

R. Glowinski, Y. A. Kuznetsov, Distributed Lagrange multipliers based on fictitious domain method for second order elliptic problems, Comput. Methods Appl. Mech. Eng., 196 (2007), 1498-1506. https://doi.org/10.1016/j.cma.2006.05.013

[42]

C. Garoni, C. Manni, F. Pelosi, H. Speleers, Study and use of spectral symbol properties for isogeometric matrices on trimmed geometries, Numer. Linear Algebra Appl., 32 (2025), e2601. https://doi.org/10.1002/nla.2601

[43]

M. Mazza, S. Serra-Capizzano, R. L. Sormani, Algebra preconditionings for 2D Riesz distributed-order space-fractional diffusion equations on convex domains, Numer. Linear Algebra Appl., 31 (2024), e2536. https://doi.org/10.1002/nla.2536

[44]

Y. Wu, Y. Zhang, A universal solution scheme for fractional and classical PDEs, preprint, arXiv:2102.00113.

PDF (779KB)

0

Accesses

0

Citation

Detail

Sections
Recommended

/

〈 〉