Abstract
We consider various extensions and modifications of Shannon’s General Purpose Analog Computer, which is a model of computation by differential equations in continuous time. We show that several classical computation classes have natural analog counterparts, including the primitive recursive functions, the elementary functions, the levels of the Grzegorczyk hierarchy, and the arithmetical and analytical hierarchies.
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References
V.I. Arnold. Equations Differentielles Ordinaires. Editions Mir, 5 èrne edition, 1996.
A. Babakhanian. Exponentials in differentially algebraic extension fields. Duke Math. J., 40:455–458, 1973.
[TABLEIMAGES***]
S. Bank:. Some results on analytic and merom orphic solutions of algebraic differential equations. Advances in mathematics, 15:41–62, 1975.
S. Bose, N. Basu and T. Vijayaraghavan. A simple example for a theorem of Vijayaraghavan. J. London Math. Soc., 12:250–252, 1937.
O. Bournez. Achilles and the tortoise climbing up the hyper-arithmetical hierarchy. Theoretical Computer Science, 210 (1):21–71,1999.
O. Bournez. Complexité algorithmique des systemes dynamiques co hybrides. PhD thesis, Ecole Normale Superieure de Lyon, 1999.
M.D. Bowles. U.S. technological enthusiasm and the British technological skepticism in the age of the analog brain. IEEE Annals of the History of Computing, 18(4):5–15, 1996.
M. S. Branicky. Universal computation and other capabilities of hybrid and continuous dynamical systems. Theoretical Computer Science, 138(1), 1995.
A. Ben-Hur, H. Siegelmann, and S. Fishman. A theory of complexity for continuous time systems. To appear in Journal of Complexity.
L. Blum, M. Shub, and S. Smale. On a theory of computation and complexity over the real numbers: NP-completnes, recursive functions and universal machines. Bull. Amer. Math. Soc., 21:1–46,1989.
M.L Campagnolo, C. Moore, and J.F. Costa. Iteration, ineqUalities, and differentiability in analog computers. To appear in Journal of Complexity.
M.L Campagnolo, C. Moore, and J.E Costa. An analog characterization of the subrecursive functions. In P. Kornerup, editor, Proc. of the 4th Conference on Real Numbers and Computers, pages 91–109. Odense University, 2000.
N. J. Cutland. Computability: an introduction to recursive function theory. Cambridge University Press, 1980.
A. Grzegorczyk. Some classes of recursive functions. Rosprawy Matematyzne, 4, 1953. Math. Inst. of the Polish Academy of Sciences.
A. Grzegorczyk. Computable functionals. Fund. Math., 42:168–202,1955.
A. Grzegorczyk. On the definition of computable real continuous functions. Fund. Math., 44:61–71, 1957.
H.K. Hayman. The growth of solutions of algebraic differential equations. Rend. Mat. Acc. Lincei., 7:67–73,1996.
L. Kalmar. Egyzzerü példa eldonthetetlen aritmetikai problémára. Mate és Fizikai Lapok, 50:1–23,1943.
P. Koiran, M. Cosnard, and M. Garzon. Computability with low-dimensional dynamical systems. Theoretical Computer Science, 132:113–128,1994.
W. Thomson (Lord Kelvin). On an instrument for calculating the integral of the product of two given functions. Proc. Royal Society of London, 24:266–268, 1876.
P. Koiran and C. Moore. Closed-form analytic maps in one or two dimensions can simulate Turing machines. Theoretical Computer Science, 210:217–223, 1999.
D. Lacombe. Extension de la notion de fonction récursive aux fonctions d’une ou plusieurs variables réelles I. C. R. Acad. Sci. Paris, 240:2478–2480, 1955.
L. Lipshitz and L. A. Rubel. A differentially algebraic replacement theorem, and analog computation. Proceedings of the A.M.S., 99(2):367–372, 1987.
K. Meer. Real number models under various sets of operations. Journal of Complexity, 9:366–372, 1993.
C. Moore. Unpredictability and undecidability in dynamical systems. Physical Review Letters, 64:2354–2357, 1990.
C. Moore. Recursion theory on the reals and continuous-time computation. Theoretical Computer Science, 162:23–44,1996.
C. Moore. Dynamical recognizers: real-time language recognition by analog computers. Theoretical Computer Science, 201:99–136,1998.
P. Odifreddi. Classical Recursion Theory. Elsevier, 1989.
P. Orponen. On the computational power of continuous time neural networks. In Proc. SOFSEM’97, the 24th Seminar on Current Trends in Theory and Practice of Informatics, Lecture Notes in Computer Science, pages 86–103. Springer-Verlag, 1997.
P. Orponen. A survey of continuous-time computation theory. In D.-Z. Du and K.-I Ko, editors, Advances in Algorithms, Languages, and Complexity, pages 209–224. Kluwer Academic Publishers, Dordrecht, 1997.
M. B. Pour-El. Abtract computability and its relation to the general purpose analog computer. Trans. Amer. Math. Soc., 199:1–28, 1974.
M. B. Pour-El and J. I. Richards. Computability in Analysis and Physics. Springer-Verlag, 1989.
H. E. Rose. Subrecursion: functions and hierarchies. Clarendon Press, 1984.
L. A. Rubel. Digital simulation of analog computation and Church’s thesis. The Journal of Symbolic Logic, 54(3): 1011–1017, 1989.
L. A. Rubel. A survey of transcendentally transcendental functions. Amer. Math. Monthly, 96:777–788, 1989.
H. T. Siegelmann and S. Fishman. Analog computation with dynamical systems. Physica D, 120:214–235,1998.
C. Shannon. Mathematical theory of the differential analyser. J. Math. Phys. MIT, 20:337–354, 1941.
H. Siegelmann. Neural Netwoks and Analog Computation: Beyond the Turing Limit. Birkhauser, 1998.
T. Vijayaraghavan. Sur la croissance des fonctions définies par les équations différentielles. C. R. Acad. Sci. Paris, 194:827–829,1932.
A. Vergis, K. Steiglitz, and B. Dickinson. The complexity of analog computation. Mathematics and computers in simulation, 28:91–113, 1986.
Q. Zhou. Subclasses of computable real functions. In T. Jiang and D. T. Lee, editors, Computing and Combinatorics, Lecture Notes in Computer Science, pages 156–165. Springer-Verlag, 1997.
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Campagnolo, M.L., Moore, C. (2001). Upper and Lower Bounds on Continuous-Time Computation. In: Antoniou, I., Calude, C.S., Dinneen, M.J. (eds) Unconventional Models of Computation, UMC’2K. Discrete Mathematics and Theoretical Computer Science. Springer, London. https://doi.org/10.1007/978-1-4471-0313-4_12
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DOI: https://doi.org/10.1007/978-1-4471-0313-4_12
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