z-logo
open-access-imgOpen Access
Approximate solution for burgers equation with local fractional derivative by Yang-Laplace decomposition method
Author(s) -
Min Chen,
Yinhong Xia
Publication year - 2017
Publication title -
thermal science
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.339
H-Index - 43
eISSN - 2334-7163
pISSN - 0354-9836
DOI - 10.2298/tsci17s1209c
Subject(s) - laplace transform , burgers' equation , fractional calculus , decomposition method (queueing theory) , decomposition , laplace's equation , mathematics , derivative (finance) , mathematical analysis , partial differential equation , statistics , chemistry , organic chemistry , financial economics , economics
With the development of the fractional calculus theory, it has been found that many non-differentiable phenomena in real world can be described by using non-linear local fractional differential equations [1-7]. In most cases, the local fractional differential equations were applied to model problems in fractal mathematics and engineering. They have attracted lots of attention among scientists [8-15]. Finding non-differentiable solutions is the hot topics. But, in general, it is difficult to obtain an exact analytic solution for a non-linear local fractional differential equation. Some approximate methods have largely been used to handle these equations [16-20]. Recently, some useful techniques have been successfully applied to local fractional differential equations. The main techniques include the decomposition method and Yang-Laplace transform method with local fractional operator, see [1, 16-20]. In this paper, our aim is to use the local fractional Yang-Laplace decomposition method to solve the following non-linear local fractional Burgers equation:

The content you want is available to Zendy users.

Already have an account? Click here to sign in.
Having issues? You can contact us here
Accelerating Research

Address

John Eccles House
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom