A compact finite difference method for solving a class of time fractional convection-subdiffusion equations

Verfasser / Beitragende:
[Yuan-Ming Wang]
Ort, Verlag, Jahr:
2015
Enthalten in:
BIT Numerical Mathematics, 55/4(2015-12-01), 1187-1217
Format:
Artikel (online)
ID: 605497095
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024 7 0 |a 10.1007/s10543-014-0532-y  |2 doi 
035 |a (NATIONALLICENCE)springer-10.1007/s10543-014-0532-y 
100 1 |a Wang  |D Yuan-Ming  |u Department of Mathematics, Shanghai Key Laboratory of Pure Mathematics and Mathematical Practice, East China Normal University, 200241, Shanghai, People's Republic of China  |4 aut 
245 1 2 |a A compact finite difference method for solving a class of time fractional convection-subdiffusion equations  |h [Elektronische Daten]  |c [Yuan-Ming Wang] 
520 3 |a A high-order compact finite difference method is proposed for solving a class of time fractional convection-subdiffusion equations. The convection coefficient in the equation may be spatially variable, and the time fractional derivative is in the Caputo's sense with the order $$\alpha $$ α ( $$0<\alpha <1$$ 0 < α < 1 ). After a transformation of the original equation, the spatial derivative is discretized by a fourth-order compact finite difference method and the time fractional derivative is approximated by a $$(2-\alpha )$$ ( 2 - α ) -order implicit scheme. The local truncation error and the solvability of the method are discussed in detail. A rigorous theoretical analysis of the stability and convergence is carried out using the discrete energy method, and the optimal error estimates in the discrete $$H^{1}$$ H 1 , $$L^{2}$$ L 2 and $$L^{\infty }$$ L ∞ norms are obtained. Applications using several model problems give numerical results that demonstrate the effectiveness and the accuracy of this new method. 
540 |a Springer Science+Business Media Dordrecht, 2014 
690 7 |a Fractional convection-subdiffusion equation  |2 nationallicence 
690 7 |a Variable coefficients  |2 nationallicence 
690 7 |a Compact finite difference method  |2 nationallicence 
690 7 |a Stability and convergence  |2 nationallicence 
690 7 |a Error estimate  |2 nationallicence 
773 0 |t BIT Numerical Mathematics  |d Springer Netherlands  |g 55/4(2015-12-01), 1187-1217  |x 0006-3835  |q 55:4<1187  |1 2015  |2 55  |o 10543 
856 4 0 |u https://doi.org/10.1007/s10543-014-0532-y  |q text/html  |z Onlinezugriff via DOI 
898 |a BK010053  |b XK010053  |c XK010000 
900 7 |a Metadata rights reserved  |b Springer special CC-BY-NC licence  |2 nationallicence 
908 |D 1  |a research-article  |2 jats 
949 |B NATIONALLICENCE  |F NATIONALLICENCE  |b NL-springer 
950 |B NATIONALLICENCE  |P 856  |E 40  |u https://doi.org/10.1007/s10543-014-0532-y  |q text/html  |z Onlinezugriff via DOI 
950 |B NATIONALLICENCE  |P 100  |E 1-  |a Wang  |D Yuan-Ming  |u Department of Mathematics, Shanghai Key Laboratory of Pure Mathematics and Mathematical Practice, East China Normal University, 200241, Shanghai, People's Republic of China  |4 aut 
950 |B NATIONALLICENCE  |P 773  |E 0-  |t BIT Numerical Mathematics  |d Springer Netherlands  |g 55/4(2015-12-01), 1187-1217  |x 0006-3835  |q 55:4<1187  |1 2015  |2 55  |o 10543 
986 |a SWISSBIB  |b 605431299