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Applied Mathematics Letters
Article . 2015 . Peer-reviewed
License: Elsevier Non-Commercial
Data sources: Crossref
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Local fractional similarity solution for the diffusion equation defined on Cantor sets

Authors: Xiao-Jun Yang; Dumitru Baleanu; H.M. Srivastava;
Abstract
Abstract In this letter, the local fractional similarity solution is addressed for the non-differentiable diffusion equation. Structuring the similarity transformations via the rule of the local fractional partial derivative operators, we transform the diffusive operator into a similarity ordinary differential equation. The obtained result shows the non-differentiability of the solution suitable to describe the properties and behaviors of the fractal content.
Related Organizations
- China University of Mining and Technology China (People's Republic of)
- Çankaya University Turkey
- University of Victoria Canada
- Institute of Space Science Romania
- University of Victoria Canada
citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).119 popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.Top 1% influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).Top 1% impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.Top 1%

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citations
Citations provided by BIP!
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
popularity
Popularity provided by BIP!
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
119
Top 1%
Top 1%
Top 1%
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Energy Research