Algebraic Derivation of a Non-Separable Linear PDE with Cascading Feedback

This research presents a novel method for constructing linear partial differential equations through a process of hierarchical nesting. Moving beyond the classical foundations of isotropic heat transfer, this study explores how complex spatial coupling can be engineered by applying differential operators in cascading layers. By organizing spatial variables into a specific depth-based hierarchy—where effects propagate sequentially through a nested chain of coordinates—we derive an evolution equation that is fundamentally non-separable. The resulting framework demonstrates how mixed-order derivatives can be logically integrated to represent directional coupling and cascading feedback. This approach provides a systematic algebraic pathway for developing advanced models in fields such as control theory and anisotropic systems, where variables are linked by a structured, non-independent hierarchy.

Authors

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-05-11
DOI
https://doi.org/10.5281/zenodo.20126280
Primary Topic
Nonlinear Dynamics and Pattern Formation
Type
preprint
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preprint

Algebraic Derivation of a Non-Separable Linear PDE with Cascading Feedback

Deick Williams
Zenodo (CERN European Organization for Nuclear Research)
Nonlinear Dynamics and Pattern Formation
preprint

Algebraic Derivation of a Non-Separable Linear PDE with Cascading Feedback

Deick Williams
preprint en

Abstract

This research presents a novel method for constructing linear partial differential equations through a process of hierarchical nesting. Moving beyond the classical foundations of isotropic heat transfer, this study explores how complex spatial coupling can be engineered by applying differential operators in cascading layers. By organizing spatial variables into a specific depth-based hierarchy—where effects propagate sequentially through a nested chain of coordinates—we derive an evolution equation that is fundamentally non-separable. The resulting framework demonstrates how mixed-order derivatives can be logically integrated to represent directional coupling and cascading feedback. This approach provides a systematic algebraic pathway for developing advanced models in fields such as control theory and anisotropic systems, where variables are linked by a structured, non-independent hierarchy.

Zenodo (CERN European Organization for Nuclear Research)
Nonlinear Dynamics and Pattern Formation
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