Resolving G\"odel's Incompleteness Myth: Polynomial Equations and Dynamical Systems for Algebraic Logic
Joseph W. Norman

TL;DR
This paper introduces a novel computational approach using polynomial equations and dynamical systems to evaluate logical propositions, challenging traditional interpretations of G"odel's incompleteness theorems and providing a new perspective on undecidability.
Contribution
It presents a new algebraic and dynamical systems framework for analyzing logical formulas, offering insights into G"odel's theorems and the nature of undecidability in mathematics.
Findings
Logical formulas can be represented as polynomial equations and dynamical systems.
G"odel's self-referential formula is shown to be inconsistent or unsteady within this framework.
The approach clarifies that G"odel's incompleteness does not imply fundamental limitations of mathematics.
Abstract
A new computational method that uses polynomial equations and dynamical systems to evaluate logical propositions is introduced and applied to Goedel's incompleteness theorems. The truth value of a logical formula subject to a set of axioms is computed from the solution to the corresponding system of polynomial equations. A reference by a formula to its own provability is shown to be a recurrence relation, which can be either interpreted as such to generate a discrete dynamical system, or interpreted in a static way to create an additional simultaneous equation. In this framework the truth values of logical formulas and other polynomial objectives have complex data structures: sets of elementary values, or dynamical systems that generate sets of infinite sequences of such solution-value sets. Besides the routine result that a formula has a definite elementary value, these data structures…
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Taxonomy
TopicsLogic, programming, and type systems · Logic, Reasoning, and Knowledge · Formal Methods in Verification
