Parallel (geometry)

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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 2cn for a constant c, and full exponential bounds 2nc), leading to two versions of the exponential hierarchy:[1][2]

xLy1y2QykR(x,y1,,yk),
where R(x,y1,,yn) is a predicate computable in time 2c|x| (which implicitly bounds the length of yi). Also equivalently, EH is the class of languages computable on an alternating Turing machine in time 2cn for some c with constantly many alternations.
xLy1y2QykR(x,y1,,yk),
where R(x,y1,,yk) 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 2nc on an alternating Turing machine with constantly many alternations.

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

References

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  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.