3 research outputs found
Superconvergence Points For The Spectral Interpolation Of Riesz Fractional Derivatives
In this paper, superconvergence points are located for the approximation of
the Riesz derivative of order using classical Lobatto-type polynomials
when and generalized Jacobi functions (GJF) for arbitrary
, respectively. For the former, superconvergence points are zeros
of the Riesz fractional derivative of the leading term in the truncated
Legendre-Lobatto expansion. It is observed that the convergence rate for
different at the superconvergence points is at least
better than the optimal global convergence rate. Furthermore, the interpolation
is generalized to the Riesz derivative of order with the help of
GJF, which deal well with the singularities. The well-posedness, convergence
and superconvergence properties are theoretically analyzed. The gain of the
convergence rate at the superconvergence points is analyzed to be
for and for .
Finally, we apply our findings in solving model FDEs and observe that the
convergence rates are indeed much better at the predicted superconvergence
points
Two families of novel second-order fractional numerical formulas and their applications to fractional differential equations
In this article, we introduce two families of novel fractional
-methods by constructing some new generating functions to discretize
the Riemann-Liouville fractional calculus operator with a
second order convergence rate. A new fractional BT- method connects the
fractional BDF2 (when ) with fractional trapezoidal rule (when
), and another novel fractional BN- method joins the
fractional BDF2 (when ) with the second order fractional
Newton-Gregory formula (when ). To deal with the initial
singularity, correction terms are added to achieve an optimal convergence
order. In addition, stability regions of different -methods when
applied to the Abel equations of the second kind are depicted, which
demonstrate the fact that the fractional -methods are
A()-stable. Finally, numerical experiments are implemented to verify
our theoretical result on the convergence analysis.Comment: 16 pages, 10 figure
Numerical methods for nonlocal and fractional models
Partial differential equations (PDEs) are used, with huge success, to model
phenomena arising across all scientific and engineering disciplines. However,
across an equally wide swath, there exist situations in which PDE models fail
to adequately model observed phenomena or are not the best available model for
that purpose. On the other hand, in many situations, nonlocal models that
account for interaction occurring at a distance have been shown to more
faithfully and effectively model observed phenomena that involve possible
singularities and other anomalies. In this article, we consider a generic
nonlocal model, beginning with a short review of its definition, the properties
of its solution, its mathematical analysis, and specific concrete examples. We
then provide extensive discussions about numerical methods, including finite
element, finite difference, and spectral methods, for determining approximate
solutions of the nonlocal models considered. In that discussion, we pay
particular attention to a special class of nonlocal models that are the most
widely studied in the literature, namely those involving fractional
derivatives. The article ends with brief considerations of several modeling and
algorithmic extensions which serve to show the wide applicability of nonlocal
modeling.Comment: Revised/Improved version. 126 pages, 18 figures, review pape