Critique of Feinstein's Proof that P is not Equal to NP
Kyle Sabo, Ryan Schmitt, Michael Silverman

TL;DR
This paper critiques Feinstein's proof claiming P ≠ NP, exposing flaws in his reduction-based argument and demonstrating that his assumptions about problem complexity are invalid.
Contribution
It provides a detailed counteranalysis of Feinstein's proof, highlighting the incorrect use of reduction and invalid assumptions about problem complexity.
Findings
Identifies flaws in Feinstein's reduction methodology
Shows that his assumptions about problem complexity are invalid
Concludes the proof does not establish P ≠ NP
Abstract
We examine a proof by Craig Alan Feinstein that P is not equal to NP. We present counterexamples to claims made in his paper and expose a flaw in the methodology he uses to make his assertions. The fault in his argument is the incorrect use of reduction. Feinstein makes incorrect assumptions about the complexity of a problem based on the fact that there is a more complex problem that can be used to solve it. His paper introduces the terminology "imaginary processor" to describe how it is possible to beat the brute force reduction he offers to solve the Subset-Sum problem. The claims made in the paper would not be validly established even were imaginary processors to exist.
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Taxonomy
TopicsComputability, Logic, AI Algorithms · semigroups and automata theory · Logic, programming, and type systems
