DIFFERENCE GEOMETRY v1.0 EN

DESCRIPTION Document No. 4.4 – Difference Geometry v1.0 EN is a specialized volume within the Formal Differentics Mathematical Corpus dedicated to the geometric structure of Difference Spaces. Building upon the foundations established in Difference Information Theory, Difference Algebra, and Difference Metrics, this work develops the first formal geometric framework in which differences, rather than points or coordinates, are treated as the primary constituents of geometric reality. The document introduces Difference Spaces, Difference Coordinates, Difference Dimensions, Difference Neighborhoods, Difference Paths, Difference Curvature, Difference Surfaces, and Difference Symmetries as fundamental constructs of a geometry derived from distinguishability. In this framework, spatial organization emerges from networks of Difference Relations, and classical geometric concepts are reformulated in terms of measurable distinctions between entities. The central principle of Difference Geometry states that geometry is not a prerequisite for difference; rather, geometry itself emerges from difference. This inversion of the traditional geometric paradigm provides a unified mathematical language for describing structure, localization, dimensionality, transformation, and topological organization within the broader framework of Formal Differentics. The work establishes the geometric layer of Differentics and serves as a theoretical bridge toward future developments in Difference Topology, Difference Dynamics, Difference Field Theory, and Difference Manifolds. It contributes to the long-term objective of constructing a comprehensive mathematical theory in which difference functions as the primary generative principle of information, structure, and form.

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-06-25
DOI
https://doi.org/10.5281/zenodo.20875938
Primary Topic
Optics and Image Analysis
Type
article
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DIFFERENCE GEOMETRY v1.0 EN

Giedrius Grebliunas
Zenodo (CERN European Organization for Nuclear Research)
Optics and Image Analysis
article

DIFFERENCE GEOMETRY v1.0 EN

Giedrius Grebliunas
article en

Abstract

DESCRIPTION Document No. 4.4 – Difference Geometry v1.0 EN is a specialized volume within the Formal Differentics Mathematical Corpus dedicated to the geometric structure of Difference Spaces. Building upon the foundations established in Difference Information Theory, Difference Algebra, and Difference Metrics, this work develops the first formal geometric framework in which differences, rather than points or coordinates, are treated as the primary constituents of geometric reality. The document introduces Difference Spaces, Difference Coordinates, Difference Dimensions, Difference Neighborhoods, Difference Paths, Difference Curvature, Difference Surfaces, and Difference Symmetries as fundamental constructs of a geometry derived from distinguishability. In this framework, spatial organization emerges from networks of Difference Relations, and classical geometric concepts are reformulated in terms of measurable distinctions between entities. The central principle of Difference Geometry states that geometry is not a prerequisite for difference; rather, geometry itself emerges from difference. This inversion of the traditional geometric paradigm provides a unified mathematical language for describing structure, localization, dimensionality, transformation, and topological organization within the broader framework of Formal Differentics. The work establishes the geometric layer of Differentics and serves as a theoretical bridge toward future developments in Difference Topology, Difference Dynamics, Difference Field Theory, and Difference Manifolds. It contributes to the long-term objective of constructing a comprehensive mathematical theory in which difference functions as the primary generative principle of information, structure, and form.

Zenodo (CERN European Organization for Nuclear Research)
Reduced inequalities
Openalex Percentile: Top 5%
Optics and Image Analysis
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