Exponential hierarchy: Difference between revisions
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In [[computational complexity theory]], the '''exponential hierarchy''' is a hierarchy of [[complexity class]]es that is an [[EXPTIME|exponential time]] analogue of the [[polynomial hierarchy]]. As elsewhere in complexity theory, “exponential” is used | In [[computational complexity theory]], the '''exponential hierarchy''' is a hierarchy of [[complexity class]]es that is an [[EXPTIME|exponential time]] analogue of the [[polynomial hierarchy]]. As elsewhere in complexity theory, “exponential” is used with two different meanings (linear exponential bounds <math>2^{cn}</math> for a constant ''c'', and full exponential bounds <math>2^{n^c}</math>), leading to two versions of the exponential hierarchy.<ref>Sarah Mocas, Separating classes in the exponential-time hierarchy from classes in ''PH'', [[Theoretical Computer Science (journal)|Theoretical Computer Science]] 158 (1996), no. 1–2, pp. 221–231.</ref><ref name=":0">Anuj Dawar, [[Georg Gottlob]], Lauri Hella, Capturing relativized complexity classes without order, Mathematical Logic Quarterly 44 (1998), no. 1, pp. 109–122.</ref> These hierarchies are sometimes also referred to as the ''weak'' exponential hierarchies, to differentiate them from the ''strong'' exponential hierarchy, which contains both of the weak hierarchies.<ref name=":0" /><ref>{{Cite journal|last=Hemachandra|first=Lane A.|date=1989|title=The strong exponential hierarchy collapses|url=|journal=[[Journal of Computer and System Sciences]]|language=en|volume=39|issue=3|pages=299–322|doi=10.1016/0022-0000(89)90025-1}}</ref> | ||
==EH== | ==EH== | ||
The complexity class EH is the union of the classes <math>\Sigma^\mathsf{E}_k</math> for all ''k'', where <math>\Sigma^\mathsf{E}_k=\mathsf{NE}^{\Sigma^\mathsf{P}_{k-1}}</math> (i.e., languages computable in [[nondeterministic Turing machine|nondeterministic]] time <math>2^{cn}</math> for some constant ''c'' with a <math>\Sigma^\mathsf{P}_{k-1}</math> [[oracle Turing machine|oracle]]) | The complexity class EH is the union of the classes <math>\Sigma^\mathsf{E}_k</math> for all ''k'', where [[E (complexity)|<math>\Sigma^\mathsf{E}_0 = \mathsf{E}</math>]] and <math>\Sigma^\mathsf{E}_k=\mathsf{NE}^{\Sigma^\mathsf{P}_{k-1}}</math> (i.e., languages computable in [[nondeterministic Turing machine|nondeterministic]] time <math>2^{cn}</math> for some constant ''c'' with a <math>\Sigma^\mathsf{P}_{k-1}</math> [[oracle Turing machine|oracle]]). One also defines | ||
:<math>\Pi^\mathsf{E}_k=\mathsf{coNE}^{\Sigma^\mathsf{P}_{k-1}}</math> and <math>\Delta^\mathsf{E}_k=\mathsf{E}^{\Sigma^\mathsf{P}_{k-1}}.</math> | :<math>\Pi^\mathsf{E}_k=\mathsf{coNE}^{\Sigma^\mathsf{P}_{k-1}}</math> and <math>\Delta^\mathsf{E}_k=\mathsf{E}^{\Sigma^\mathsf{P}_{k-1}}.</math> | ||
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where <math>R(x,y_1,\ldots,y_k)</math> is computable in time <math>2^{|x|^c}</math> for some ''c'', which again implicitly bounds the length of ''y<sub>i</sub>''. Equivalently, EXPH is the class of languages computable in time <math>2^{n^c}</math> on an alternating Turing machine with constantly many alternations. | where <math>R(x,y_1,\ldots,y_k)</math> is computable in time <math>2^{|x|^c}</math> for some ''c'', which again implicitly bounds the length of ''y<sub>i</sub>''. Equivalently, EXPH is the class of languages computable in time <math>2^{n^c}</math> on an alternating Turing machine with constantly many alternations. | ||
==The strong exponential hierarchy== | |||
The strong exponential hierarchy, denoted SEH, is the union of NE, NP<sup>NE</sup>, NP<sup>NP<sup>NE</sup></sup>, and so on.<ref name="seh">https://complexityzoo.net/Complexity_Zoo:S#seh</ref> | |||
The same class is obtained if we replace NE by NEXP.<ref name="seh"/> | |||
==Comparison== | ==Comparison== | ||
Latest revision as of 14:38, 4 December 2025
In computational complexity theory, the exponential hierarchy is a hierarchy of complexity classes that is an exponential time analogue of the polynomial hierarchy. As elsewhere in complexity theory, “exponential” is used with two different meanings (linear exponential bounds for a constant c, and full exponential bounds ), leading to two versions of the exponential hierarchy.[1][2] These hierarchies are sometimes also referred to as the weak exponential hierarchies, to differentiate them from the strong exponential hierarchy, which contains both of the weak hierarchies.[2][3]
EH
The complexity class EH is the union of the classes for all k, where and (i.e., languages computable in nondeterministic time for some constant c with a oracle). One also defines
- and
An equivalent definition is that a language L is in if and only if it can be written in the form
where is a predicate computable in time (which implicitly bounds the length of yi). Also equivalently, EH is the class of languages computable on an alternating Turing machine in time for some c with constantly many alternations.
EXPH
EXPH is the union of the classes , where (languages computable in nondeterministic time for some constant c with a oracle), , and again:
A language L is in if and only if it can be written as
where is computable in time for some c, which again implicitly bounds the length of yi. Equivalently, EXPH is the class of languages computable in time on an alternating Turing machine with constantly many alternations.
The strong exponential hierarchy
The strong exponential hierarchy, denoted SEH, is the union of NE, NPNE, NPNPNE, and so on.[4]
The same class is obtained if we replace NE by NEXP.[4]
Comparison
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References
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- ↑ Sarah Mocas, Separating classes in the exponential-time hierarchy from classes in PH, Theoretical Computer Science 158 (1996), no. 1–2, pp. 221–231.
- ↑ a b Anuj Dawar, Georg Gottlob, Lauri Hella, Capturing relativized complexity classes without order, Mathematical Logic Quarterly 44 (1998), no. 1, pp. 109–122.
- ↑ Script error: No such module "Citation/CS1".
- ↑ a b https://complexityzoo.net/Complexity_Zoo:S#seh
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