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Blum–Shub–Smale machine
Model of computation over real numbers
Model of computation over real numbers
In computation theory, the Blum–Shub–Smale machine, or BSS machine, is a model of computation introduced by Lenore Blum, Michael Shub and Stephen Smale, intended to describe computations over the real numbers. Essentially, a BSS machine is a Random Access Machine with registers that can store arbitrary real numbers and that can compute rational functions over reals in a single time step. It is closely related to the Real RAM model.
BSS machines are more powerful than Turing machines, because the latter are by definition restricted to a finite set of symbols. A Turing machine can represent a countable set (such as the rational numbers) by strings of symbols, but this does not extend to the uncountable real numbers.
Definition
A BSS machine M is given by a list I of N+1 instructions (to be described below), indexed 0, 1, \dots, N. A configuration of M is a tuple (k,r,w,x), where k is the index of the instruction to be executed next, r and w are registers holding non-negative integers, and x=(x_0,x_1,\ldots) is a list of real numbers, with all but finitely many being zero. The list x is thought of as holding the contents of all registers of M. The computation begins with configuration (0,0,0,x) and ends whenever k=N; the final content of x is said to be the output of the machine.
The instructions of M can be of the following types:
- Computation: a substitution x_{0} := g_{k}(x) is performed, where g_{k} is an arbitrary rational function (a quotient of two polynomial functions with arbitrary real coefficients); registers r and w may be changed, either by r := 0 or r := r + 1 and similarly for w. The next instruction is k+1.
- Branch(l): if x_0 \geq 0 then goto l; else goto k+1.
- Copy(x_r, x_w): the content of the "read" register x_r is copied into the "written" register x_w; the next instruction is k+1.
Theory
Blum, Shub and Smale defined the complexity classes P (polynomial time) and NP (nondeterministic polynomial time) in the BSS model. Here NP is defined by adding an existentially-quantified input to a problem. They give a problem which is NP-complete for the class NP so defined: existence of roots of quartic polynomials. This is an analogue of the Cook-Levin Theorem for real numbers.
References
References
- (1989). "On a Theory of Computation and Complexity over the Real Numbers: NP-completeness, Recursive Functions and Universal Machines". Bulletin of the American Mathematical Society.
- Minsky, Marvin. (1967). "Computation: Finite and Infinite Machines". Prentice–Hall, Inc..
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