• DocumentCode
    626316
  • Title

    Regular Real Analysis

  • Author

    Chaudhuri, Swarat ; Sankaranarayanan, Sriram ; Vardi, Moshe Y.

  • Author_Institution
    Rice Univ., Houston, USA
  • fYear
    2013
  • fDate
    25-28 June 2013
  • Firstpage
    509
  • Lastpage
    518
  • Abstract
    We initiate the study of regular real analysis, or the analysis of real functions that can be encoded by automata on infinite words. It is known that ω-automata can be used to represent relations between real vectors, reals being represented in exact precision as infinite streams. The regular functions studied here constitute the functional subset of such relations. We show that some classic questions in function analysis can become elegantly computable in the context of regular real analysis. Specifically, we present an automatatheoretic technique for reasoning about limit behaviors of regular functions, and obtain, using this method, a decision procedure to verify the continuity of a regular function. Several other decision procedures for regular functions-for finding roots, fixpoints, minima, etc.-are also presented. At the same time, we show that the class of regular functions is quite rich, and includes functions that are highly challenging to encode using traditional symbolic notation.
  • Keywords
    automata theory; computability; formal languages; ω-automata; automata theoretic technique; computability; decision procedure; fixpoint finding; infinite streams; infinite words; limit behavior; minima finding; real function analysis; real vectors; reasoning; regular function continuity; regular real analysis; relation representation; root finding; symbolic notation; Automata; Calculus; Cognition; Educational institutions; Encoding; Fractals; Vectors; Automata; Decision procedures; Real analysis;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Logic in Computer Science (LICS), 2013 28th Annual IEEE/ACM Symposium on
  • Conference_Location
    New Orleans, LA
  • ISSN
    1043-6871
  • Print_ISBN
    978-1-4799-0413-6
  • Type

    conf

  • DOI
    10.1109/LICS.2013.57
  • Filename
    6571583