Anatilic Space Topology: A Novel Mathematical Framework for Continuous Functional Transitions

This paper introduces a novel mathematical framework termed Analitic Space Topology, which provides a generalization beyond classical piecewise functions, enabling continuous and fluid transitions between multiple functional forms without discrete partitioning. The approach is rigorously defined, establishing mathematical validity through formalisms of continuity, measurability, and parametrically controlled transitions. Potential applications of the Anatilik Space Topology are discussed, including physics, biology, engineering, and artificial intelligence. Examples and graphical illustrations are provided to demonstrate practical implementations, followed by an extensive review of related literature.he author acknowledges the use of OpenAI’s language model for assistance in drafting certain sections of this workl<br>

Publication Details

Journal
Figshare
Published
2025-01-01
DOI
https://doi.org/10.6084/m9.figshare.29610818.v1
Primary Topic
Advanced Mathematical Theories
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Anatilic Space Topology: A Novel Mathematical Framework for Continuous Functional Transitions

Figshare
Advanced Mathematical Theories
article

Anatilic Space Topology: A Novel Mathematical Framework for Continuous Functional Transitions

article en

Abstract

This paper introduces a novel mathematical framework termed Analitic Space Topology, which provides a generalization beyond classical piecewise functions, enabling continuous and fluid transitions between multiple functional forms without discrete partitioning. The approach is rigorously defined, establishing mathematical validity through formalisms of continuity, measurability, and parametrically controlled transitions. Potential applications of the Anatilik Space Topology are discussed, including physics, biology, engineering, and artificial intelligence. Examples and graphical illustrations are provided to demonstrate practical implementations, followed by an extensive review of related literature.he author acknowledges the use of OpenAI’s language model for assistance in drafting certain sections of this workl<br>

Figshare
Openalex Percentile: Top 53%
Advanced Mathematical Theories
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.