ELEMENTARY

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In computational complexity theory, the complexity class ELEMENTARY consists of the decision problems that can be solved in time bounded by an elementary recursive function. The most quickly-growing elementary functions are obtained by iterating an exponential function such as 2n for a bounded number k of iterations, 222n}k. Thus, ELEMENTARY is the union of the classes

ELEMENTARY=kk-EXP=DTIME(2n)DTIME(22n)DTIME(222n).

It is sometimes described as iterated exponential time,[1] though this term more commonly refers to time bounded by the tetration function.[2] This complexity class can be characterized by a certain class of "iterated stack automata", pushdown automata that can store the entire state of a lower-order iterated stack automaton in each cell of their stack. These automata can compute every language in ELEMENTARY, and cannot compute languages beyond this complexity class.[3] The time hierarchy theorem implies that ELEMENTARY has no complete problems. Every elementary recursive function can be computed in a time bound of this form, and therefore every decision problem whose calculation uses only elementary recursive functions belongs to the complexity class ELEMENTARY.

References

  1. "ELEMENTARY", Complexity Zoo, retrieved 2024-11-03
  2. Friedman, Harvey (1999), "Some decision problems of enormous complexity" (PDF), 14th Annual IEEE Symposium on Logic in Computer Science, Trento, Italy, July 2-5, 1999, {IEEE} Computer Society, pp. 2–12, doi:10.1109/LICS.1999.782577, ISBN 0-7695-0158-3, MR 1942515
  3. Engelfriet, Joost (1991), "Iterated stack automata and complexity classes", Information and Computation, 95 (1): 21–75, doi:10.1016/0890-5401(91)90015-T, MR 1133778