The two forms of fractional relaxation of distributed order

Physics – Condensed Matter – Statistical Mechanics

Scientific paper

Rate now

  [ 0.00 ] – not rated yet Voters 0   Comments 0

Details

18 pages, 4 figures. International Symposium on Mathematical Methods in Engineering, (MME06), Ankara, Turkey, April 27-29, 200

Scientific paper

The first-order differential equation of exponential relaxation can be generalized by using either the fractional derivative in the Riemann-Liouville (R-L) sense and in the Caputo (C) sense, both of a single order less than 1. The two forms turn out to be equivalent. When, however we use fractional derivatives of distributed order (between zero and 1), the equivalence is lost, in particular on the asymptotic behaviour of the fundamental solution at small and large times. We give an outline of the theory providing the general form of the solution in terms of an integral of Laplace type over a positive measure depending on the order-distribution. We consider with some detail two cases of fractional relaxation of distributed order: the double-order and the uniformly distributed order discussing the differences between the R-L and C approaches. For all the cases considered we exhibit plots of the solutions for moderate and large times.

No associations

LandOfFree

Say what you really think

Search LandOfFree.com for scientists and scientific papers. Rate them and share your experience with other people.

Rating

The two forms of fractional relaxation of distributed order does not yet have a rating. At this time, there are no reviews or comments for this scientific paper.

If you have personal experience with The two forms of fractional relaxation of distributed order, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and The two forms of fractional relaxation of distributed order will most certainly appreciate the feedback.

Rate now

     

Profile ID: LFWR-SCP-O-369950

  Search
All data on this website is collected from public sources. Our data reflects the most accurate information available at the time of publication.