Reflections on a new analytical theory exploring polygonal contours in mathematics, suggesting novel quantitative measures.
This paper presents some reflections on classimetry of polygonal contours — a new analytical theory emerging at the intersection of H. Freeman's chain codes and V.L. Rvachev's R-functions. Classimetry reveals a hidden stratification of the parameter space Ƥn = ℝ^2n: cells CK = { p | RK(p) > 0 } separated by boundaries RK(p)=0. Each cell corresponds to a qualitative type of a polygonal contour encoded by a discrete path code K=(d1,…,dn). Unlike ordinary metrics, which do not distinguish qualitative types, the R/R′-function RK provides a quantitative measure of proximity to the boundary. The differential criterion ∇RK·ṗ < 0 distinguishes crossing of the boundary from its tangency, thus making it possible to predict the moment of a qualitative transition.Bilingual Publication Structure: This work is presented in a bilingual format (English/Russian), offering complete parallel texts. This approach ensures broad accessibility and facilitates dissemination within the international mathematical community as well as among Russian-speaking researchers.
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Vadim Khaikov (2026) studied this question.
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