Skip to main content

Robust Simulations of Turing Machines with Analytic Maps and Flows

  • Conference paper
New Computational Paradigms (CiE 2005)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 3526))

Included in the following conference series:

Abstract

In this paper, we show that closed-form analytic maps and flows can simulate Turing machines in an error-robust manner. The maps and ODEs defining the flows are explicitly obtained and the simulation is performed in real time.

Our interest in the questions addressed in this paper was raised by past discussions with Félix Costa and Cris Moore. This work was partially supported by Fundaçã o para a Ciência e a Tecnologia (FCT) and FEDER via the Center for Logic and Computation – CLC, the project ConTComp POCTI/MAT/45978/2002 and grant SFRH/BD/17436/2004. Additional support was also provided by the Fundaçã o Calouste Gulbenkian through the Programa Gulbenkian de Estímulo à Investigaçã o.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 84.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 109.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Moore, C.: Unpredictability and undecidability in dynamical systems. Phys. Rev. Lett. 64, 2354–2357 (1990)

    Article  MATH  MathSciNet  Google Scholar 

  2. Koiran, P., Cosnard, M., Garzon, M.: Computability with low-dimensional dynamical systems. Theoret. Comput. Sci. 132, 113–128 (1994)

    Article  MATH  MathSciNet  Google Scholar 

  3. Siegelmann, H.T., Sontag, E.D.: On the computational power of neural networks. J. Comput. System Sci. 50, 132–150 (1995)

    Article  MATH  MathSciNet  Google Scholar 

  4. Moore, C.: Finite-dimensional analog computers: Flows, maps, and recurrent neural networks. In: Calude, C., Casti, J., Dinneen, M. (eds.) 1st International Conference on Unconventional Models of Computation - UMC 1998, pp. 59–71. Springer, Heidelberg (1998)

    Google Scholar 

  5. Casey, M.: The dynamics of discrete-time computation, with application to recurrent neural networks and finite state machine extraction. Neural Comp. 8, 1135–1178 (1996)

    Article  Google Scholar 

  6. Casey, M.: Correction to proof that recurrent neural networks can robustly recognize only regular languages. Neural Comp. 10, 1067–1069 (1998)

    Article  Google Scholar 

  7. Maass, W., Orponen, P.: On the effect of analog noise in discrete-time analog computations. Neural Comput. 10, 1071–1095 (1998)

    Article  Google Scholar 

  8. Pour-El, M.B., Richards, J.I.: The wave equation with computable initial data such that its unique solution is not computble. Adv. Math. 39, 215–239 (1981)

    Article  MATH  MathSciNet  Google Scholar 

  9. Pour-El, M.B., Zhong, N.: The wave equation with computable initial data whose unique solution is nowhere computable. Math. Log. Quart. 43, 499–509 (1997)

    Article  MATH  MathSciNet  Google Scholar 

  10. Weihrauch, K., Zhong, N.: Is wave propagation computable or can wave computers beat the Turing machine? Proc. London Math. Soc. 85, 312–332 (2002)

    Article  MATH  MathSciNet  Google Scholar 

  11. Koiran, P., Moore, C.: Closed-form analytic maps in one and two dimensions can simulate universal Turing machines. Theoret. Comput. Sci. 210, 217–223 (1999)

    Article  MATH  MathSciNet  Google Scholar 

  12. Branicky, M.S.: Universal computation and other capabilities of hybrid and continuous dynamical systems. Theoret. Comput. Sci. 138, 67–100 (1995)

    Article  MATH  MathSciNet  Google Scholar 

  13. Campagnolo, M.L., Moore, C., Costa, J.F.: An analog characterization of the Grzegorczyk hierarchy. J. Complexity 18, 977–1000 (2002)

    Article  MATH  MathSciNet  Google Scholar 

  14. Mycka, J., Costa, J.F.: Real recursive functions and their hierarchy. J. Complexity 20, 835–857 (2004)

    Article  MATH  MathSciNet  Google Scholar 

  15. Campagnolo, M.L., Moore, C., Costa, J.F.: Iteration, inequalities, and differentiability in analog computers. J. Complexity 16, 642–660 (2000)

    Article  MATH  MathSciNet  Google Scholar 

  16. Campagnolo, M.L.: The complexity of real recursive functions. In: Calude, C.S., Dinneen, M.J., Peper, F. (eds.) UMC 2002. LNCS, vol. 2509, pp. 1–14. Springer, Heidelberg (2002)

    Chapter  Google Scholar 

  17. Hirsch, M.W., Smale, S.: Differential Equations, Dynamical Systems, and Linear Algebra. Academic Press, London (1974)

    MATH  Google Scholar 

  18. Guckenheimer, J., Holmes, P.: Nonlinear Oscillations, Dynamical Systems, and Bifurcation of Vector Fields. Springer, Heidelberg (1983)

    Google Scholar 

  19. Viana, M.: Dynamical systems: moving into the next century. In: Engquist, B., Schmid, W. (eds.) Mathematics Unlimited - 2001 and Beyond, pp. 1167–1178. Springer, Heidelberg (2001)

    Google Scholar 

  20. Pilyugin, S.Y.: Shadowing in Dynamical Systems. Springer, Heidelberg (1999)

    MATH  Google Scholar 

  21. Grebogi, C., Poon, L., Sauer, T., Yorke, J., Auerbach, D.: Shadowability of chaotic dynamical systems. In: Handbook of Dynamical Systems, vol. 2, pp. 313–344. Elsevier, Amsterdam (2002)

    Chapter  Google Scholar 

  22. Atkinson, K.E.: An Introduction to Numerical Analysis, 2nd edn. John Wiley & Sons, Chichester (1989)

    MATH  Google Scholar 

  23. Graça, D.S., Costa, J.F.: Analog computers and recursive functions over the reals. J. Complexity 19, 644–664 (2003)

    Article  MATH  MathSciNet  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2005 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Graça, D.S., Campagnolo, M.L., Buescu, J. (2005). Robust Simulations of Turing Machines with Analytic Maps and Flows. In: Cooper, S.B., Löwe, B., Torenvliet, L. (eds) New Computational Paradigms. CiE 2005. Lecture Notes in Computer Science, vol 3526. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11494645_21

Download citation

  • DOI: https://doi.org/10.1007/11494645_21

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-26179-7

  • Online ISBN: 978-3-540-32266-5

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics