2018 – 2022
- Extremal Combinatorics, Extremal Set Theory, Graph Theory
- Advisor: Ervin Győri
salianika@gmail.com
Extremal problems are a natural and important area of research in mathematics. They involve studying the interplay between global and local properties of a mathematical structure, such as a graph, a hypergraph, a set system, or a function. In particular, extremal problems in hypergraphs are of significant interest due to their numerous applications in various fields of mathematics, computer science, and physics. In recent years, the study of extremal problems in hypergraphs has become increasingly important due to its relevance to quantum computing and artificial intelligence. Hypergraphs are a natural and powerful tool for modeling complex systems, and networks, and understanding their structure is crucial for developing efficient algorithms and computational methods.
The study of extremal problems is often challenging and involves various difficulties. One of the main challenges is determining the order of the extremal function, which describes the largest or the smallest possible value of a parameter with given properties. In some cases, the asymptotic behavior of the extremal function is known, but determining the exact value for every possible structure size remains an open question. Once exact results are obtained, including the structure of the extremal objects, the focus shifts to questions of stability and saturation. Stability problems seek to understand how close a model is to the extremal structure as it approaches given properties. On the other hand, saturation problems aim to understand how rich the model is if another property holds strongly. These questions are of great interest and have numerous applications.
I study the exact results and structural stability of extremal hypergraphs. I aim to develop new approaches using known probabilistic and algebraic techniques and tools for analyzing hypergraphs and answering fundamental questions in the field. Such results might have significant implications for various areas of mathematics and computer science and will contribute to the ongoing efforts to understand the structure of complex systems.
Combinatorics is a field uniquely suited to involving undergraduate students in research. With carefully structured guidance and foundational knowledge provided over a semester, students can quickly progress to tackling meaningful, open questions. The accessibility of combinatorial problems allows students to develop both technical skills and an appreciation for the depth of mathematical exploration, opening the door to a variety of engaging research directions.
le23@nyu.edu
Research Associate, New York University Abu Dhabi, UAE
A. Razmadze Mathematical Institute.
Budapest, Hungary
Tbilisi, Georgia
My arXiv identifier: