THE TRANSDUCTIVE SOLUTION OF THE JACOBIAN CONJECTURE

Description (Abstract) This work proposes a novel structural approach to the Jacobian Conjecture, specifically addressing the critical case of dimension n = 2. While the conjecture posits that a polynomial map F:Cⁿ→Cⁿ with a constant non-zero Jacobian determinant (J_F = c) must have a polynomial inverse, traditional algebraic methods face significant hurdles in proving global invertibility. This paper departs from purely algebraic manipulations and reframes the conjecture as a problem of structural conservation and information closure, utilizing the theoretical framework of the Transduction Architecture developed by the author. The core argument treats dimension n = 2 as the central "Equilibrium" point between the trivial regularity of n = 1 and the combinatorial expansion/branching of n ≥ 3. To bridge the gap between local regularity (J_F = c) and global invertibility, the formulation introduces the Transductive Funnel, the UNO Spiral, and the Autonomous Transduction Machine. Instead of a direct algebraic leap from the Jacobian condition to the inverse, the transformation is modeled as a continuous-to-defined-state transition. The local differential information is accumulated, oriented, and processed through a structural metric that ensures no information is lost during the transduction from the domain to the image. The mathematical heart of the solution relies on the Branching Index (I_R(F)). The paper establishes that global injectivity—and consequently the truncation of the formal inverse series into a finite polynomial state—is achieved if and only if the transductive architecture maintains complete coverage, memory of origin, and unique recovery, thereby forcing I_R(F) = 1. By proving that the transductive closure prevents the formation of distinct global states with the same local configuration, the formal inverse G = F⁻¹ ceases to be an infinite series and collapses into a defined polynomial state. The work integrates concepts from the author's broader research, including the Equilibrium Model, the 142857 cyclic identity, and connections to the structural localization used in Riemann Zeta function research. Ultimately, the Jacobian Conjecture in n = 2 is transformed from a purely algebraic puzzle into a verifiable structural theorem: under the condition of transductive closure, local regularity guarantees global polynomial automorphism.

Authors

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-09-11
DOI
https://doi.org/10.5281/zenodo.22708234
Primary Topic
Polynomial and algebraic computation
Type
preprint
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THE TRANSDUCTIVE SOLUTION OF THE JACOBIAN CONJECTURE

Cláudio Vicente da Silva
Zenodo (CERN European Organization for Nuclear Research)
Polynomial and algebraic computation
preprint

THE TRANSDUCTIVE SOLUTION OF THE JACOBIAN CONJECTURE

Cláudio Vicente da Silva
preprint en

Abstract

Description (Abstract) This work proposes a novel structural approach to the Jacobian Conjecture, specifically addressing the critical case of dimension n = 2. While the conjecture posits that a polynomial map F:Cⁿ→Cⁿ with a constant non-zero Jacobian determinant (J_F = c) must have a polynomial inverse, traditional algebraic methods face significant hurdles in proving global invertibility. This paper departs from purely algebraic manipulations and reframes the conjecture as a problem of structural conservation and information closure, utilizing the theoretical framework of the Transduction Architecture developed by the author. The core argument treats dimension n = 2 as the central "Equilibrium" point between the trivial regularity of n = 1 and the combinatorial expansion/branching of n ≥ 3. To bridge the gap between local regularity (J_F = c) and global invertibility, the formulation introduces the Transductive Funnel, the UNO Spiral, and the Autonomous Transduction Machine. Instead of a direct algebraic leap from the Jacobian condition to the inverse, the transformation is modeled as a continuous-to-defined-state transition. The local differential information is accumulated, oriented, and processed through a structural metric that ensures no information is lost during the transduction from the domain to the image. The mathematical heart of the solution relies on the Branching Index (I_R(F)). The paper establishes that global injectivity—and consequently the truncation of the formal inverse series into a finite polynomial state—is achieved if and only if the transductive architecture maintains complete coverage, memory of origin, and unique recovery, thereby forcing I_R(F) = 1. By proving that the transductive closure prevents the formation of distinct global states with the same local configuration, the formal inverse G = F⁻¹ ceases to be an infinite series and collapses into a defined polynomial state. The work integrates concepts from the author's broader research, including the Equilibrium Model, the 142857 cyclic identity, and connections to the structural localization used in Riemann Zeta function research. Ultimately, the Jacobian Conjecture in n = 2 is transformed from a purely algebraic puzzle into a verifiable structural theorem: under the condition of transductive closure, local regularity guarantees global polynomial automorphism.

Zenodo (CERN European Organization for Nuclear Research)
Life in Land
Polynomial and algebraic computation
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