NSF Org:	DMS Division Of Mathematical Sciences
Recipient:	CLEVELAND STATE UNIVERSITY
Initial Amendment Date:	July 26, 2022
Latest Amendment Date:	July 26, 2022
Award Number:	2200844
Award Instrument:	Standard Grant
Program Manager:	Andrew Pollington adpollin@nsf.gov  (703)292-4878 DMS  Division Of Mathematical Sciences MPS  Direct For Mathematical & Physical Scien
Start Date:	August 15, 2022
End Date:	July 31, 2025 (Estimated)
Total Intended Award Amount:	$123,410.00
Total Awarded Amount to Date:	$123,410.00
Funds Obligated to Date:	FY 2022 = $123,410.00
History of Investigator:	Federico Galetto (Principal Investigator) f.galetto@csuohio.edu
Recipient Sponsored Research Office:	Cleveland State University 2121 EUCLID AVE CLEVELAND OH  US  44115-2214 (216)687-3630
Sponsor Congressional District:	11
Primary Place of Performance:	Cleveland State University 2121 Euclid Avenue Cleveland OH  US  44115-2214
Primary Place of Performance Congressional District:	11
Unique Entity Identifier (UEI):	YKGMTXA2NVL6
Parent UEI:
NSF Program(s):	ALGEBRA,NUMBER THEORY,AND COM
Primary Program Source:	01002223DB NSF RESEARCH & RELATED ACTIVIT
Program Reference Code(s):
Program Element Code(s):	126400
Award Agency Code:	4900
Fund Agency Code:	4900
Assistance Listing Number(s):	47.049

ABSTRACT

Solving systems of polynomial equations is a central problem in algebra with many practical applications. The solutions of a system can be regarded as a geometric object, called a variety, leading to a fruitful interplay between algebra and geometry. Varieties can be described by means of numerical parameters, such as their dimension, a measure of size, their degree, a measure of complexity, and more generally their so-called Betti numbers, which provide additional information of algebraic and geometric significance. In this project, the PI aims to describe as explicitly as possible the Betti numbers of some well-known systems of polynomial equations by making use of the inherent symmetries of the underlying varieties. The study will rely on computer algorithms previously developed by the PI for this specific purpose. The grant provides support for graduate students, who will be involved in collecting and analyzing of data, thus providing newer generations of scientists with a diverse background an opportunity to experience hands-on research in addition to learning some advanced mathematics.

The goal of this project is to describe the minimal free resolutions of two families of ideals in polynomial rings stable under finite group actions. The first family contains toric ideals of complete graphs and is relevant in the context of combinatorial commutative algebra. The second family contains De Concini-Procesi ideals, which arise in algebraic topology and geometric representation theory. These two families of ideals have, for various reasons, generated significant interest in the literature, and share some traits that will make this research program more relevant. First, their minimal free resolutions and Betti numbers are not fully understood, and this project will make use of novel computational techniques along with representation theory to further current understanding. Second, both are families of non-monomial ideals; this is significant because current techniques for minimal free resolutions with finite group actions are limited to monomial ideals with the action of a symmetric group permuting the variables. In summary, this project will provide new insight into specific families of ideals, while offering an opportunity to develop more widely applicable techniques for constructing resolutions with finite group actions.

This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

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