On Linear Representation, Complexity and Inversion of maps over finite fields
Ramachandran Anantharaman, Virendra Sule

TL;DR
This paper introduces a linear matrix-based framework for representing nonlinear maps over finite fields, enabling analysis of their invertibility, cycle structure, and group properties.
Contribution
It develops a novel linear representation for nonlinear maps over finite fields, facilitating inverse computation and structural analysis.
Findings
Linear representation associates maps with matrices over finite fields.
Inverse maps are represented by matrix inverses for permutation maps.
The framework extends to parameterized maps and group structures.
Abstract
This paper defines a linear representation for nonlinear maps where is a finite field, in terms of matrices over . This linear representation of the map associates a unique number and a unique matrix in , called the Linear Complexity and the Linear Representation of respectively, and shows that the compositional powers are represented by matrix powers . It is shown that for a permutation map with representation , the inverse map has the linear representation . This framework of representation is extended to a parameterized family of maps , defined in terms of a parameter , leading to the definition of an analogous linear complexity of the map , and a parameter-dependent…
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Taxonomy
TopicsCoding theory and cryptography · Computability, Logic, AI Algorithms · Limits and Structures in Graph Theory
