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    Numerical methods for Caputo-Hadamard fractional differential equations with graded and non-uniform meshes

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    We consider the predictor-corrector numerical methods for solving Caputo-Hadamard fractional differential equation with the graded meshes log⁑tj=log⁑a+(log⁑tNa)(jN)r, j=0,1,2,…,N\log t_{j} = \log a + \big ( \log \frac{t_{N}}{a} \big ) \big ( \frac{j}{N} \big )^{r}, \, j=0, 1, 2, \dots, N with aβ‰₯1a \geq 1 and rβ‰₯1 r \geq 1, where log⁑a=log⁑t0<log⁑t1<β‹―<log⁑tN=log⁑T\log a = \log t_{0} < \log t_{1} < \dots < \log t_{N}= \log T is a partition of [log⁑t0,log⁑T][\log t_{0}, \log T]. We also consider the rectangular and trapezoidal methods for solving Caputo-Hadamard fractional differential equation with the non-uniform meshes log⁑tj=log⁑a+(log⁑tNa)j(j+1)N(N+1), j=0,1,2,…,N\log t_{j} = \log a + \big ( \log \frac{t_{N}}{a} \big ) \frac{j (j+1)}{N(N+1)}, \, j=0, 1, 2, \dots, N. Under the weak smoothness assumptions of the Caputo-Hadamard fractional derivative, e.g., \prescript{}{CH}D^\alpha_{a,t}y(t) \notin C^{1}[a, T] with α∈(0,2) \alpha \in (0, 2), the optimal convergence orders of the proposed numerical methods are obtained by choosing the suitable graded mesh ratio rβ‰₯1r \geq 1. The numerical examples are given to show that the numerical results are consistent with the theoretical findings
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