Key research themes
1. How can Mutually Orthogonal Latin Squares (MOLS) be constructed and characterized via algebraic structures such as cellular automata and finite fields?
This theme investigates novel algebraic and combinatorial constructions of MOLS, focusing on linear cellular automata over finite fields and connections to irreducible polynomials. The goal is to characterize when Latin squares generated by algebraic means are orthogonal and to enumerate maximal sets of MOLS for given orders, which is fundamentally important for design theory and related applications in cryptography and coding theory.
2. What are the algorithmic and combinatorial methods for generation and random sampling of Latin squares and related designs such as Sudoku?
This theme addresses the development and implementation of efficient algorithms for generating random Latin squares and Sudoku puzzles, focusing on achieving uniform distribution. It involves graphical representations such as incidence cubes, Markov chain Monte Carlo techniques like ±1-moves, and interpretations of Latin squares as maximum cliques in graphs, enabling both enumeration and random sampling. These techniques are essential for applications requiring randomized combinatorial designs, including cryptography, statistical experiments, and recreational mathematics.
3. How do combinatorial structures such as Latin squares connect to deep algebraic and number-theoretical results, including classical theorems and orbit theory?
This research area explores the fundamental links between Latin squares, number theory, and algebraic structures through combinatorial representation. It includes identifying Latin square identities corresponding to classical sums-of-squares theorems, characterizing prime numbers through orbit structures related to Latin squares, and reflecting on the historical and philosophical significance of these connections. Understanding these links informs both pure mathematics and applied combinatorics, enriching the conceptual framework of Latin squares.