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Blum–Shub–Smale machine

BSS machines are more powerful than Turing machines, because the latter are by definition restricted to a finite set of symbols.^[2] 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[edit]

A BSS machine M is given by a list ${\displaystyle I}$of${\displaystyle N+1}$ instructions (to be described below), indexed ${\displaystyle 0,1,\dots ,N}$. A configuration of M is a tuple ${\displaystyle (k,r,w,x)}$, where k is the index of the instruction to be executed next, r and w are registers holding non-negative integers, and ${\displaystyle x=(x_{0},x_{1},\ldots )}$ is a list of real numbers, with all but finitely many being zero. The list ${\displaystyle x}$ is thought of as holding the contents of all registers of M. The computation begins with configuration ${\displaystyle (0,0,0,x)}$ and ends whenever ${\displaystyle k=N}$; 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 ${\displaystyle x_{0}:=g_{k}($x)} is performed, where ${\displaystyle g_{k}}$ is an arbitrary rational function (a quotient of two polynomial functions with arbitrary real coefficients); registers r and w may be changed, either by ${\displaystyle r:=0}$or${\displaystyle r:=r+1}$ and similarly for w. The next instruction is k+1.
• Branch${\displaystyle ($l)} : if ${\displaystyle x_{0}\geq 0}$ then goto ${\displaystyle l}$; else goto k+1.
• Copy(${\displaystyle x_{r},x_{w}}$): the content of the "read" register ${\displaystyle x_{r}}$ is copied into the "written" register ${\displaystyle x_{w}}$; the next instruction is k+1

Theory[edit]

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.

See also[edit]

• Complexity and Real Computation
• General purpose analog computer
• Hypercomputation
• Real computer
• Quantum finite automaton

References[edit]

Further reading[edit]

• Blum, Lenore; Cucker, Felipe; Shub, Mike; Smale, Steve (1998). Complexity and Real Computation. Springer New York. doi:10.1007/978-1-4612-0701-6. ISBN 978-0-387-98281-6. S2CID 12510680. Retrieved 23 March 2022.
• Bürgisser, Peter (2000). Completeness and reduction in algebraic complexity theory. Algorithms and Computation in Mathematics. Vol. 7. Berlin: Springer-Verlag. ISBN 3-540-66752-0. Zbl 0948.68082.
• Grädel, E. (2007). "Finite Model Theory and Descriptive Complexity". Finite Model Theory and Its Applications (PDF). Springer-Verlag. pp. 125–230. Zbl 1133.03001.