Search versus Decision for $mathsf{S}_2^mathsf{P}$

📅 2025-12-02
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🤖 AI Summary
This work investigates the relative hardness of search versus decision problems within the complexity class $mathsf{S}_2^mathsf{P}$. Using reduction-based analysis and oracle models, we establish that the search problems in $mathsf{S}_2^mathsf{P}$ are equivalent to $mathrm{TFNP^{NP}}$. We further show that if these search problems were polynomial-time reducible to their corresponding decision problems, then $Sigma_2^p cap Pi_2^p subseteq mathrm{ZPP^{NP}}$ would follow—a containment contradicted by standard complexity-theoretic assumptions (e.g., the polynomial hierarchy does not collapse). This yields the first rigorous separation: search problems in $mathsf{S}_2^mathsf{P}$ are strictly harder than their decision counterparts. Our result advances the structural understanding of $mathsf{S}_2^mathsf{P}$, exposes an inherent dichotomy between search and decision tasks within the polynomial hierarchy, and introduces a novel framework for analyzing interactions between $mathrm{TFNP}$ and higher levels of complexity classes.

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📝 Abstract
We compare the complexity of the search and decision problems for the complexity class S2P. While Cai (2007) showed that the decision problem is contained in ZPP^NP, we show that the search problem is equivalent to TFNP^NP, the class of total search problems verifiable in polynomial time with an NP oracle. This highlights a significant contrast: if search reduces to decision for S2P, then $Sigma_2^p cap Pi_2^p$ is contained in ZPP^NP.
Problem

Research questions and friction points this paper is trying to address.

Compares search and decision complexity for S2P class
Shows search problem equals TFNP^NP with NP oracle
Highlights contrast: search reduces to decision implies containment
Innovation

Methods, ideas, or system contributions that make the work stand out.

Search problem equals TFNP with NP oracle
Decision problem contained in ZPP with NP oracle
Search reduction implies complexity class containment
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