Toda's theorem

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Short description: The polynomial hierarchy is contained in probabilistic Turing machine in polynomial time

Toda's theorem is a result in computational complexity theory that was proven by Seinosuke Toda in his paper "PP is as Hard as the Polynomial-Time Hierarchy"[1] and was given the 1998 Gödel Prize.

Statement

The theorem states that the entire polynomial hierarchy PH is contained in PPP; this implies a closely related statement, that PH is contained in P#P.

Definitions

  1. P is the problem of exactly counting the number of solutions to a polynomially-verifiable question (that is, to a question in NP), while loosely speaking, PP is the problem of giving an answer that is correct more than half the time. The class P#P consists of all the problems that can be solved in polynomial time if you have access to instantaneous answers to any counting problem in #P (polynomial time relative to a #P oracle). Thus Toda's theorem implies that for any problem in the polynomial hierarchy there is a deterministic polynomial-time Turing reduction to a counting problem.[2]

An analogous result in the complexity theory over the reals (in the sense of Blum–Shub–Smale real Turing machines) was proved by Saugata Basu and Thierry Zell in 2009[3] and a complex analogue of Toda's theorem was proved by Saugata Basu in 2011.[4]

Proof

The proof is broken into two parts.

  • First, it is established that
[math]\displaystyle{ \Sigma^P \cdot \mathsf{BP} \cdot \oplus \mathsf{P} \subseteq \mathsf{BP} \cdot \oplus \mathsf{P} }[/math]
The proof uses a variation of Valiant–Vazirani theorem. Because [math]\displaystyle{ \mathsf{BP} \cdot \oplus \mathsf{P} }[/math] contains [math]\displaystyle{ \mathsf{P} }[/math] and is closed under complement, it follows by induction that [math]\displaystyle{ \mathsf{PH} \subseteq \mathsf{BP} \cdot \oplus \mathsf{P} }[/math].
  • Second, it is established that
[math]\displaystyle{ \mathsf{BP} \cdot \oplus \mathsf{P} \subseteq \mathsf{P}^{\sharp P} }[/math]

Together, the two parts imply

[math]\displaystyle{ \mathsf{PH} \subseteq \mathsf{BP} \cdot \oplus \mathsf{P} \subseteq \mathsf{P} \cdot \oplus \mathsf{P} \subseteq \mathsf{P}^{\sharp P} }[/math]

References

  1. Toda, Seinosuke (October 1991). "PP is as Hard as the Polynomial-Time Hierarchy". SIAM Journal on Computing 20 (5): 865–877. doi:10.1137/0220053. ISSN 0097-5397. http://epubs.siam.org/doi/10.1137/0220053. 
  2. 1998 Gödel Prize. Seinosuke Toda
  3. Saugata Basu and Thierry Zell (2009); Polynomial Hierarchy, Betti Numbers and a Real Analogue of Toda's Theorem, in Foundations of Computational Mathematics
  4. Saugata Basu (2011); A Complex Analogue of Toda's Theorem, in Foundations of Computational Mathematics