Linear-radial relationships: Two elementary formulas for constructing and scaling circles

This work introduces two fundamental relations that enable efficient generation and scaling of circles using only elementary mathematics. Both relations arise directly from classical definitions and require no modification of π. Instead, π is interpreted as a relation connecting linear and radial representations of the same content.The first relation describes the circle as a discrete step based process. A one dimensional agent taking steps of length s and deviating by a constant fraction of that step produces a closed circular path when the deviation satisfies Delta equals s divided by pi. This provides a linear and easily scalable method for constructing circles without radius, angle, or trigonometric functions. Reducing the step size reduces the deviation proportionally, allowing circles of arbitrary precision.The second relation describes the circle as a transformation of area. Any content A can be represented either linearly (as a square) or radially (as a circle). From the classical identity “A equals pi times r squared,” the radius follows as r equals the square root of (A divided by pi). This formulation allows immediate conversion between square and circular representations of equal area and is well suited for numerical methods, simulations, and geometric scaling.Together, these relations show that π consistently links linear and radial structures—whether in a step based process or in an area based transformation. The results do not challenge geometry; they reveal structures already present within its own framework and provide efficient tools for scaling and constructing circles in computational and theoretical contexts.

Authors

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-06-19
DOI
https://doi.org/10.5281/zenodo.20753990
Primary Topic
Morphological variations and asymmetry
Type
article
Field-Weighted Citation Impact
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article

Linear-radial relationships: Two elementary formulas for constructing and scaling circles

Manfred Thiele
Zenodo (CERN European Organization for Nuclear Research)
Morphological variations and asymmetry
article

Linear-radial relationships: Two elementary formulas for constructing and scaling circles

Manfred Thiele
article en

Abstract

This work introduces two fundamental relations that enable efficient generation and scaling of circles using only elementary mathematics. Both relations arise directly from classical definitions and require no modification of π. Instead, π is interpreted as a relation connecting linear and radial representations of the same content.The first relation describes the circle as a discrete step based process. A one dimensional agent taking steps of length s and deviating by a constant fraction of that step produces a closed circular path when the deviation satisfies Delta equals s divided by pi. This provides a linear and easily scalable method for constructing circles without radius, angle, or trigonometric functions. Reducing the step size reduces the deviation proportionally, allowing circles of arbitrary precision.The second relation describes the circle as a transformation of area. Any content A can be represented either linearly (as a square) or radially (as a circle). From the classical identity “A equals pi times r squared,” the radius follows as r equals the square root of (A divided by pi). This formulation allows immediate conversion between square and circular representations of equal area and is well suited for numerical methods, simulations, and geometric scaling.Together, these relations show that π consistently links linear and radial structures—whether in a step based process or in an area based transformation. The results do not challenge geometry; they reveal structures already present within its own framework and provide efficient tools for scaling and constructing circles in computational and theoretical contexts.

Zenodo (CERN European Organization for Nuclear Research)
Openalex Percentile: Top 4%
Morphological variations and asymmetry
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