We establish a rigorous operator framework for drive–response time-fractional reaction–diffusion equations under two integral moment constraints. The constrained state and energy spaces are explicitly defined, and the diffusion operator is constructed by a coercive closed form. We prove density of its domain, compactness of its resolvent, identification of its square-root space, and characterization of its strong domain; an explicit trace-surjectivity argument distinguishes the essential moment constraints from the natural zero-flux relations selected by the form. Nonhomogeneous moments are treated through an explicit lifting. For nonlinearities depending on the state and its spatial derivative, fractional resolvent estimates yield unique global mild solutions in the energy space without treating the unbounded elliptic operator as bounded or restarting the Caputo problem. A spectral Galerkin approximation lemma justifies the passage from the finite-dimensional energy inequality to the mild solution. Then, the synchronization error satisfies a computable Mittag–Leffler estimate in which the gradient mismatch is explicitly absorbed by diffusion. A moment-preserving spectral–L1 discretization verifies the analytical gain threshold, moment conservation, fractional orders below $ 0.9 $, the theoretical decay bound, and temporal self-convergence approaching the expected order $ 2-\alpha $. An auxiliary three-mode benchmark embeds a globally Lipschitz saturated Lorenz vector field in the constrained partial differential equation (PDE) state space. Its double-scroll geometry, median $ 0 $–$ 1 $ statistic $ K_{01} = 0.993 $, finite-time sensitivity, and synchronization demonstrate compatibility with chaotic invariant-modal dynamics; no claim of high-dimensional diffusion-generated spatiotemporal chaos is made.
Citation: Abdellah Menasri, Ahcene Merad. Existence, stability, and synchronization of fractional spatiotemporal chaotic systems with purely integral boundary conditions[J]. AIMS Mathematics, 2026, 11(8): 24353-24378. doi: 10.3934/math.2026983
We establish a rigorous operator framework for drive–response time-fractional reaction–diffusion equations under two integral moment constraints. The constrained state and energy spaces are explicitly defined, and the diffusion operator is constructed by a coercive closed form. We prove density of its domain, compactness of its resolvent, identification of its square-root space, and characterization of its strong domain; an explicit trace-surjectivity argument distinguishes the essential moment constraints from the natural zero-flux relations selected by the form. Nonhomogeneous moments are treated through an explicit lifting. For nonlinearities depending on the state and its spatial derivative, fractional resolvent estimates yield unique global mild solutions in the energy space without treating the unbounded elliptic operator as bounded or restarting the Caputo problem. A spectral Galerkin approximation lemma justifies the passage from the finite-dimensional energy inequality to the mild solution. Then, the synchronization error satisfies a computable Mittag–Leffler estimate in which the gradient mismatch is explicitly absorbed by diffusion. A moment-preserving spectral–L1 discretization verifies the analytical gain threshold, moment conservation, fractional orders below $ 0.9 $, the theoretical decay bound, and temporal self-convergence approaching the expected order $ 2-\alpha $. An auxiliary three-mode benchmark embeds a globally Lipschitz saturated Lorenz vector field in the constrained partial differential equation (PDE) state space. Its double-scroll geometry, median $ 0 $–$ 1 $ statistic $ K_{01} = 0.993 $, finite-time sensitivity, and synchronization demonstrate compatibility with chaotic invariant-modal dynamics; no claim of high-dimensional diffusion-generated spatiotemporal chaos is made.
| [1] | I. Podlubny, Fractional differential equations, San Diego: Academic Press, 1999. |
| [2] | K. Diethelm, The analysis of fractional differential equations, Berlin: Springer, 2010. http://doi.org/10.1007/978-3-642-14574-2 |
| [3] | A. A. Kilbas, H. M. Srivastava, J. J. Trujillo, Theory and applications of fractional differential equations, Amsterdam: Elsevier, 2006. |
| [4] | Y. Zhou, Basic theory of fractional differential equations, Singapore: World Scientific, 2014. http://doi.org/10.1142/9069 |
| [5] |
K. Sakamoto, M. Yamamoto, Initial value/boundary value problems for fractional diffusion-wave equations and applications to some inverse problems, J. Math. Anal. Appl., 382 (2011), 426–447. http://doi.org/10.1016/j.jmaa.2011.04.058 doi: 10.1016/j.jmaa.2011.04.058
|
| [6] |
R.-N. Wang, D.-H. Chen, T.-J. Xiao, Abstract fractional Cauchy problems with almost sectorial operators, J. Differ. Equations, 252 (2012), 202–235. http://doi.org/10.1016/j.jde.2011.08.048 doi: 10.1016/j.jde.2011.08.048
|
| [7] |
R. Zacher, A De Giorgi–Nash type theorem for time-fractional diffusion equations, Math. Ann., 356 (2013), 99–146. http://doi.org/10.1007/s00208-012-0834-9 doi: 10.1007/s00208-012-0834-9
|
| [8] |
A. Al-Khateeb, H. Zureigat, K. Abuasbeh, E. Fadhal, Leray–Schauder alternative for the existence of solutions of a modified coupled system of Caputo fractional differential equations with two-point integral boundary conditions, Symmetry, 15 (2023), 863. http://doi.org/10.3390/sym15040863 doi: 10.3390/sym15040863
|
| [9] |
Z. Cui, Z. Zhou, Existence of solutions for Caputo fractional delay differential equations with nonlocal and integral boundary conditions, Fixed Point Theory Algorithms Sci. Eng., 2023 (2023), 1. http://doi.org/10.1186/s13663-022-00738-3 doi: 10.1186/s13663-022-00738-3
|
| [10] |
E. Alhazzani, S. Mesloub, H. E. Gadain, On the solvability of a singular time fractional parabolic equation with nonclassical boundary conditions, Fractal Fract., 8 (2024), 189. http://doi.org/10.3390/fractalfract8040189 doi: 10.3390/fractalfract8040189
|
| [11] |
S. Mesloub, E. Alhazzani, H. E. Gadain, A two-dimensional nonlocal fractional parabolic initial boundary value problem, Axioms, 13 (2024), 646. http://doi.org/10.3390/axioms13090646 doi: 10.3390/axioms13090646
|
| [12] |
K. M. Owolabi, B. Karaagac, Chaotic and spatiotemporal oscillations in fractional reaction-diffusion system, Chaos Soliton. Fract., 141 (2020), 110302. http://doi.org/10.1016/j.chaos.2020.110302 doi: 10.1016/j.chaos.2020.110302
|
| [13] |
K. M. Owolabi, Numerical approach to chaotic pattern formation in diffusive predator–prey system with Caputo fractional operator, Numer. Meth. Part. Differ. Equ., 37 (2021), 131–151. http://doi.org/10.1002/num.22522 doi: 10.1002/num.22522
|
| [14] |
C. Tan, T. Lei, M. Zou, Y. Liang, L. Chen, P. Tang, et al., Manipulating circular Airy beam dynamics with quadratic phase modulation in fractional systems under some diffraction modulations and potentials, Opt. Express, 32 (2024), 25261–25275. http://doi.org/10.1364/OE.528156 doi: 10.1364/OE.528156
|
| [15] |
C. Tan, Y. Liang, M. Zou, M. Liu, L. Zhang, Controllable trajectory Hermite–Gaussian vortex beams in nonlinear fractional Schrödinger systems, Chaos Soliton. Fract., 194 (2025), 116261. http://doi.org/10.1016/j.chaos.2025.116261 doi: 10.1016/j.chaos.2025.116261
|
| [16] |
M. Khan, A. Rasheed, M. S. Anwar, Numerical analysis of nonlinear time-fractional fluid models for simulating heat transport processes in porous medium, ZAMM Z. Angew. Math. Mech., 103 (2023), e202200544. http://doi.org/10.1002/zamm.202200544 doi: 10.1002/zamm.202200544
|
| [17] |
M. Khan, A. Rasheed, The space–time coupled fractional Cattaneo–Friedrich Maxwell model with Caputo derivatives, Int. J. Appl. Comput. Math., 7 (2021), 112. http://doi.org/10.1007/s40819-021-01027-0 doi: 10.1007/s40819-021-01027-0
|
| [18] |
M. Khan, A. Alhowaity, M. Imran, M. Hussien, R. Alroobaea, M. S. Anwar, Advanced numerical simulation techniques in MHD fluid flow analysis using distributed fractional order derivatives and Cattaneo heat flux model, ZAMM Z. Angew. Math. Mech., 104 (2024), e202300622. http://doi.org/10.1002/zamm.202300622 doi: 10.1002/zamm.202300622
|
| [19] |
M. Khan, M. S. Anwar, Distributed-order time-fractional analysis of non-Newtonian Sisko fluid flow under magneto-thermal effects, Propuls. Power Res., 14 (2025), 707–722. http://doi.org/10.1016/j.jppr.2025.12.001 doi: 10.1016/j.jppr.2025.12.001
|
| [20] |
M. Khan, A. Rasheed, Numerical implementation and error analysis of nonlinear coupled fractional viscoelastic fluid model with variable heat flux, Ain Shams Eng. J., 13 (2022), 101614. http://doi.org/10.1016/j.asej.2021.10.009 doi: 10.1016/j.asej.2021.10.009
|
| [21] |
K. Diethelm, N. J. Ford, A. D. Freed, A predictor–corrector approach for the numerical solution of fractional differential equations, Nonlinear Dyn., 29 (2002), 3–22. http://doi.org/10.1023/A:1016592219341 doi: 10.1023/A:1016592219341
|
| [22] |
M. Zheng, F. Liu, I. Turner, V. Anh, A novel high order space–time spectral method for the time fractional Fokker–Planck equation, SIAM J. Sci. Comput., 37 (2015), A701–A724. http://doi.org/10.1137/140980545 doi: 10.1137/140980545
|
| [23] |
D. Liu, T. Li, X. He, Fixed-time multi-switch combined–combined synchronization of fractional-order chaotic systems with uncertainties and external disturbances, Fractal Fract., 7 (2023), 281. http://doi.org/10.3390/fractalfract7040281 doi: 10.3390/fractalfract7040281
|
| [24] |
C. Zhang, Y. Gao, J. Yao, F. Qian, Synchronization of bidirectionally coupled fractional-order chaotic systems with unknown time-varying parameter disturbance in different dimensions, Mathematics, 12 (2024), 2775. http://doi.org/10.3390/math12172775 doi: 10.3390/math12172775
|
| [25] |
T. Hamadneh, A. Hioual, R. Saadeh, M. A. Abdoon, D. K. Almutairi, T. A. Khalid, et al., General methods to synchronize fractional discrete reaction–diffusion systems applied to the glycolysis model, Fractal Fract., 7 (2023), 828. http://doi.org/10.3390/fractalfract7110828 doi: 10.3390/fractalfract7110828
|
| [26] |
C. Yang, J. Wang, M. Jian, J. Dai, Synchronization control of complex spatio-temporal networks based on fractional-order hyperbolic PDEs with delayed coupling and space-varying coefficients, Fractal Fract., 8 (2024), 525. http://doi.org/10.3390/fractalfract8090525 doi: 10.3390/fractalfract8090525
|
| [27] |
R. Zhang, K. Qiu, C. Liu, H. Ma, Z. Chu, Comparison-principle-based synchronization analysis of fractional-order chaotic neural networks with multi-order and its circuit implementation, Fractal Fract., 9 (2025), 273. http://doi.org/10.3390/fractalfract9050273 doi: 10.3390/fractalfract9050273
|
| [28] |
G. A. Gottwald, I. Melbourne, On the implementation of the $0$–$1$ test for chaos, SIAM J. Appl. Dyn. Syst., 8 (2009), 129–145. http://doi.org/10.1137/080718851 doi: 10.1137/080718851
|