skip to main content
article

Computability theory of generalized functions

Published:01 July 2003Publication History
Skip Abstract Section

Abstract

The theory of generalized functions is the foundation of the modern theory of partial differential equations (PDE). As computers are playing an ever-larger role in solving PDEs, it is important to know those operations involving generalized functions in analysis and PDE that can be computed on digital computers. In this article, we introduce natural concepts of computability on test functions and generalized functions, as well as computability on Schwartz test functions and tempered distributions. Type-2 Turing machines are used as the machine model [Weihrauch 2000]. It is shown here that differentiation and integration on distributions are computable operators, and various types of Fourier transforms and convolutions are also computable operators. As an application, it is shown that the solution operator of the distributional inhomogeneous three dimensional wave equation is computable.

References

  1. Barros-Neto, J. 1973. An introduction to the theory of distributions. In Pure and Applied Mathematics, vol. 14. Marcel Dekker Inc., New York.Google ScholarGoogle Scholar
  2. Dunford, N., and Schwartz, J. T. 1959. Linear Operators Part I: General Theory. J. Wiley, New York.Google ScholarGoogle Scholar
  3. Grzegorczyk, A. 1955. Computable functionals. Fund. Math. 42, 168--202.Google ScholarGoogle ScholarCross RefCross Ref
  4. Grzegorczyk, A. 1957. On the definitions of computable real continuous functions. Fund. Math. 44, 61--71.Google ScholarGoogle ScholarCross RefCross Ref
  5. Hopcroft, J. E., and Ullman, J. D. 1979. Introduction to Automata Theory, Languages and Computation. Addison-Wesley, Reading, Pa. Google ScholarGoogle Scholar
  6. Kreitz, C., and Weihrauch, K. 1985. Theory of representations. Theoret. Comput. Sci. 38, 35--53.Google ScholarGoogle ScholarCross RefCross Ref
  7. Myhill, J. 1971. A recursive function defined on a compact interval and having a continuous derivative that is not recursive. Mich. Math. J. 18, 97--98.Google ScholarGoogle ScholarCross RefCross Ref
  8. Normann, D. 2002. Exact real number computations relative to hereditarily total functionals. Theoret. Comput. Sci. 284, 2, 437--453. Google ScholarGoogle ScholarDigital LibraryDigital Library
  9. Odifreddi, P. 1989. Classical recursion theory. In Studies in Logic and the Foundations of Mathematics, vol. 125. North-Holland, Amsterdam, The Netherland.Google ScholarGoogle Scholar
  10. Rauch, J. 1997. Partial differential equations, In Graduate Texts in Mathematics. 2nd ed. Springer, New York.Google ScholarGoogle Scholar
  11. Rogers, H. 1967. Theory of Recursive Functions and Effective Computability. McGraw-Hill, New York. Google ScholarGoogle Scholar
  12. Schwartz, L. 1966. Théorie des Distributions. Hermann, Paris, France. Nouvelle édition.Google ScholarGoogle Scholar
  13. Schröder, M. 2001. Admissible representations of limit spaces. In Computability and Complexity in Analysis, Jens Blanck, Vasco Brattka, and Peter Hertling, Eds. Lecture Notes in Computer Science. (Berlin, Springer, Germany), New York.Google ScholarGoogle Scholar
  14. Turing, A. M. 1936. On computable numbers, with an application to the "Entscheidungsproblem." Proc. London Math. Soc. 42, 2, 230--265.Google ScholarGoogle Scholar
  15. Washihara, M. 1999. Computability and tempered distributions. Math. Japon. 50, 1, 1--7.Google ScholarGoogle Scholar
  16. Weihrauch, K. 1987. Computability. In EATCS Monographs on Theoretical Computer Science. Springer, Berlin, Germany. Google ScholarGoogle Scholar
  17. Weihrauch, K. 1997. A foundation for computable analysis. In SOFSEM'97: Theory and Practice of Informatics, František Plášil and Keith G. Jeffery, Eds. Lecture Notes in Computer Science, vol. 1338. Springer-Verlag, Berlin, pp. 104--121. Google ScholarGoogle Scholar
  18. Weihrauch, K. 1999. Computability on the probability measures on the Borel sets of the unit interval. Theoret. Comput. Sci. 219, 421--437. Google ScholarGoogle ScholarDigital LibraryDigital Library
  19. Weihrauch, K. 2000. Computable Analysis. Springer-Verlag, Berlin, Germany. Google ScholarGoogle Scholar
  20. Weihrauch, K., and Zhong, N. 2002. Is wave propagation computable or can wave computers beat the Turing machine? Proc. London Math. Soc. 85, 2, 312--332.Google ScholarGoogle ScholarCross RefCross Ref
  21. Zhong, N., and Weihrauch, K. 2000. Computability theory of generalized functions. Informatik Berichte 276, FernUniversität Hagen, Hagen. Sept.Google ScholarGoogle Scholar

Index Terms

  1. Computability theory of generalized functions

      Recommendations

      Comments

      Login options

      Check if you have access through your login credentials or your institution to get full access on this article.

      Sign in

      Full Access

      • Published in

        cover image Journal of the ACM
        Journal of the ACM  Volume 50, Issue 4
        July 2003
        163 pages
        ISSN:0004-5411
        EISSN:1557-735X
        DOI:10.1145/792538
        Issue’s Table of Contents

        Copyright © 2003 ACM

        Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

        Publisher

        Association for Computing Machinery

        New York, NY, United States

        Publication History

        • Published: 1 July 2003
        Published in jacm Volume 50, Issue 4

        Permissions

        Request permissions about this article.

        Request Permissions

        Check for updates

        Qualifiers

        • article

      PDF Format

      View or Download as a PDF file.

      PDF

      eReader

      View online with eReader.

      eReader