# Complexity Zoo:O

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##### OIP: Oblivious IP

IP where only the input size is known during the interaction with the prover, and after that interaction, the verifier gets the specific input.

L is in OIP if there exists a randomized, polynomial time interrogator I which takes an input size and interacts with a prover to produce a witness, and polynomial time verifier V that takes an input and a witness so that

- Given an input size n, there is prover so that I given n and interacting with the prover produces a witness w so that, for any input x of length n where x is in L, V accepts on x and w.
- For any x not in L of length n, for any prover interacting with I on input n gives a witness w' which V will reject with x and w' with probability at least 2/3.

##### OMA: Oblivious MA

The class of functions computable in randomized polynomial time with a shared, untrusted witness for each input size. The input-oblivious version of MA.

L is in OMA if there exists a randomized, polynomial time verifier V taking an input and a witness, so that:

- There is a witness for each n of polynomial size, so that for any input of size n, if the input is is in L, then the verifier accepts on that input and the witness.
- If the input is not in L, then for any witness, the verifier rejects on that input with probability at least 1/2.

NP is contained in OMA iff NP is in P/poly [FSW09].

EXP is contained in P/poly iff EXP = OMA [FSW09].

BPP is contained in OMA [GM15].

##### ONP: Oblivious NP

The class of functions computable in polynomial time with a shared, untrusted witness for each input size. The input-oblivious version of NP.

L is in ONP if there exists a polynomial time verifier V taking an input and a witness, so that:

- There is a witness for each n of polynomial size, so that for any input of size n, if the input is in L, then the verifier accepts on that input and the witness.
- If the input is not in L, then for any witness, the verifier rejects on that input.

Defined in [FSW09], where it was shown NP has size n^{k} circuits for some constant k if and only if ONP/1 has size n^{j} circuits for some constant j.

ONP is contained in P/poly and NP [FSW09].

ONP = NP iff NP is in P/poly [FSW09].

If NE is not E then ONP is not P [GM15].

See also YP for an input oblivious analogue of NP ∩ coNP.

##### OptP: Optimum Polynomial-Time

The class of functions computable by taking the maximum of the output values over all accepting paths of an NP machine.

Defined in [Kre88].

Contrast with FNP.

##### O_{2}P: Second Level of the Oblivious Symmetric Hierarchy

The class of decision problems for which there is a polynomial-time predicate P such that, for each length n, there exists y* and z* of length poly(n) such that for all x of length n

- If the answer is 'yes,' for all z, P(x,y*,z) is true.
- If the answer is 'no,' then for all y, P(x,y,z*) is false.

Note that this differs from S_{2}P in that the witnesses in each case must only depend on the length of the input, and not on the input itself. In particular, since the conditions imply that the answer is 'yes' iff P(x,y*,z*), the class O_{2}P is included in P/poly.

Less formally, O_{2}P is the class of one-round games in which a prover and a disprover submit simultaneous moves to a deterministic, polynomial-time referee, and furthermore, there is a single winning move the prover can make that works for all x of length n that are yes-instances, and there is a single winning move the disprover can make that works for all x of length n that are no-instances.

Defined in [CR06], where it was shown (among other properties) that O_{2}P is self-low, and that the Karp–Lipton collapse goes all the way down to O_{2}P: if NP is contained in P/poly then PH = O_{2}P.

Contains ONP and coONP [GM15].

Contrast with S_{2}P.