Exponential hierarchy

In computational complexity theory, the exponential hierarchy is a hierarchy of complexity classes, which is an exponential time analogue of the polynomial hierarchy. As elsewhere in complexity theory, “exponential” is used in two different meanings (linear exponential bounds 2^{cn} for a constant c, and full exponential bounds 2^{n^c}), leading to two versions of the exponential hierarchy:[1][2]

x\in L\iff\exists y_1\,\forall y_2\dots Qy_k\,R(x,y_1,\dots,y_k),
where R(x,y_1,\dots,y_n) is a predicate computable in time 2^{c|x|} (which implicitly bounds the length of yi). Also equivalently, EH is the class of languages computable on an alternating Turing machine in time 2^{cn} for some c with constantly many alternations.
x\in L\iff\exists y_1\,\forall y_2\dots Qy_k\,R(x,y_1,\dots,y_k),
where R(x,y_1,\dots,y_k) is computable in time 2^{|x|^c} for some c, which again implicitly bounds the length of yi. Equivalently, EXPH is the class of languages computable in time 2^{n^c} on an alternating Turing machine with constantly many alternations.

We have ENE ⊆ EH ⊆ ESPACE, EXPNEXP ⊆ EXPH ⊆ EXPSPACE, and EH ⊆ EXPH.

References

  1. Sarah Mocas, Separating classes in the exponential-time hierarchy from classes in PH, Theoretical Computer Science 158 (1996), no. 1–2, pp. 221–231.
  2. Anuj Dawar, Georg Gottlob, Lauri Hella, Capturing relativized complexity classes without order, Mathematical Logic Quarterly 44 (1998), no. 1, pp. 109–122.

External links

Complexity Zoo: Class EH

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