{ "id": "1709.10223", "version": "v1", "published": "2017-09-29T03:02:37.000Z", "updated": "2017-09-29T03:02:37.000Z", "title": "Superconvergence Points For The Spectral Interpolation Of Riesz Fractional Derivatives", "authors": [ "Beichuan Deng", "Zhimin Zhang", "Xuan Zhao" ], "categories": [ "math.NA" ], "abstract": "In this paper, superconvergence points are located for the approximation of the Riesz derivative of order $\\alpha$ using classical Lobatto-type polynomials when $\\alpha \\in (0,1)$ and generalized Jacobi functions (GJF) for arbitrary $\\alpha > 0$, 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 $\\alpha$ at the superconvergence points is at least $O(N^{-2})$ better than the optimal global convergence rate. Furthermore, the interpolation is generalized to the Riesz derivative of order $\\alpha > 1$ 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 $O(N^{-(\\alpha+3)/2})$ for $\\alpha \\in (0,1)$ and $O(N^{-2})$ for $\\alpha > 1$. Finally, we apply our findings in solving model FDEs and observe that the convergence rates are indeed much better at the predicted superconvergence points.", "revisions": [ { "version": "v1", "updated": "2017-09-29T03:02:37.000Z" } ], "analyses": { "subjects": [ "65N35", "65M15", "26A33", "41A05", "41A10" ], "keywords": [ "superconvergence points", "riesz fractional derivative", "spectral interpolation", "optimal global convergence rate", "solving model fdes" ], "note": { "typesetting": "TeX", "pages": 0, "language": "en", "license": "arXiv", "status": "editable" } } }