The Solver's Paradox in Formal Problem Spaces
Milan Rosko
TL;DR
This work analyzes why global decision problems over arithmetically represented domains incur reflective structure when quantified universally, showing that arithmetization forces diagonal fixed points internal to the problem space and imposes $\Pi^0_2$-style verification obstructions. It introduces the Solver's Paradox as a minimal model, linking universality, representability, and diagonalization to a unavoidable self-reference that any finitary theory cannot discharge. The main contribution is a unified framework tying class-quantification to arithmetical provability, with a detailed application to uniform complexity questions such as $P=NP$, where the obstruction arises from structural impredicativity rather than algorithmic limits. The results yield the Matryoshka Principle of nested reflective barriers and a constructive reformulation perspective, highlighting fundamental epistemic limits on global reasoning and suggesting principled ways to reframe such global assertions for constructive justification.
Abstract
This paper investigates how global decision problems over arithmetically represented domains acquire reflective structure through class-quantification. Arithmetization forces diagonal fixed points whose verification requires reflection beyond finitary means, producing Feferman-style obstructions independent of computational technique. We use this mechanism to analyze uniform complexity statements, including $\mathsf{P}$ vs. $\mathsf{NP}$, showing that their difficulty stems from structural impredicativity rather than methodological limitations. The focus is not on deriving separations but on clarifying the logical status of such arithmetized assertions.
