The SMALL Undergraduate Research Project is a nine-week residential summer program in which undergraduates investigate open research problems in mathematics. One of the largest programs of its kind in the country, SMALL is supported in part by a National Science Foundation grant for Research Experiences for Undergraduates and by the Science Center of Williams College. Around 500 students have participated in the project since its inception in 1988.
Students work in small groups directed by individual faculty members. Many participants have published papers and presented talks at research conferences based on work done in SMALL. Some have gone on to complete PhD’s in Mathematics. During off hours, students enjoy the many attractions of summer in the Berkshires: hiking, biking, plays, concerts, etc. Weekly lunches, teas, and casual sporting events bring SMALL students together with faculty and other students spending the summer doing research at Williams College.
The program will run from 9 weeks at Williams, probably from June 12 to August 11, 2023. At this time we expect to be in-person but everything is subject to change. Please apply online at http://www.mathprograms.org/db (it will be listed under Williams College as SMALLREU). Arrange for one letter of recommendation to be uploaded, and fill out the supplemental information (pdf: SMALLApplicationDocGeneral.pdf or word file: SMALLApplicationDocGeneral.pdf). For more information about the program (including stipends, travel, meals, …) click here on the applications page, and see as well an older article on it (click here).
We have created a page for frequently asked questions; click here to see these and answer. If this doesn’t answer your questions, or if you need more information, please contact the Program Director at [email protected].
SMALL 2023 GROUPS
The following is a list of projects for 2023; check back later as more may be added. Please email the director ([email protected]) with questions. The groups are Chip-Firing Games on Graphs, Commutative Algebra: Interactions with Logic (Jenna Zomback, Williams and Austyn Simpson, Michigan), Commutative Algebra: Local Rings and Completions (Susan Loepp, Williams), Number Theory and Probability (Steven J. Miller, Williams), and Statistical Approaches to Pattern Matching in Forensic Evidence (Xizhen Cai, Anna Plantinga and Elizabeth Upton, Williams). REMEMBER WHEN YOU APPLY AT MATHPROGRAMS.ORG TO APPLY TO THE GROUP YOU WANT. DO NOT APPLY TO MORE THAN ONE OF THE GROUPS; IF YOU DO, YOUR APPLICATION WILL NOT BE READ. Applications are due Wednesday, February 1st by 5pm Eastern.
Chip-Firing Games on Graphs
Advisor: Ralph Morrison
Commutative algebra is the study of commutative rings and modules over them. This subject serves as the local language of modern algebraic geometry, but connections to other branches of math are plentiful. Recently there has been an explosion of activity linking commutative algebra to various objects native to mathematical logic and set theory. For example, ultraproducts and ultrapowers have been employed extensively to study big polynomial rings (arXiv:1801.09852) as well as to resolve some questions about singularities in equal characteristic (see e.g. arXiv:1710.05331). Other objects living in the logic-algebra intersection include modules equipped with a Polish structure (arXiv:2009.05855), as well as rings emerging from tiling theory and combinatorics.
The exact direction of research will depend on student interest. The only prerequisite is a course in abstract algebra.
Commutative Algebra: Local Rings and Completions
Advisor: Susan Loepp
Consider the set of polynomials in one variable over the complex numbers. We can define a distance between these polynomials that turns out to be a metric. The Cauchy sequences with respect to this metric, however, do not all converge. So, we can complete this metric space to get a new metric space in which all Cauchy sequences converge. What is this new space algebraically? Surprisingly, it turns out to be the set of formal power series in one variable over the complex numbers. The idea of completing a set of polynomials generalizes to rings. Given a local ring, one can define a metric on that ring and form a new ring by completing the metric space. The relationship between a ring and its completion is important and mysterious. Algebraists often gain useful information about a ring by passing to the completion, which, by Cohen’s Structure Theorem, is easier to understand. Unfortunately, the relationship between a local ring and its completion is not well understood. It is the goal of the Commutative Algebra groups in SMALL to shed light on this relationship and to use the relationship to gain a
better understanding of the structure of Noetherian rings.
Students participating in the Commutative Algebra group will work on problems relating local rings to their completions. For example, they may attempt to characterize which complete local rings are completions of a local ring satisfying a given “nice” property. Students might also work on a variety of questions regarding the prime ideal structure of particular types of Noetherian rings. In addition, there are open questions about formal fibers on which students might work. At least one Abstract Algebra course is required.
The following references are results from previous SMALL Commutative Algebra groups.
- D. Lee, L. Leer, S. Pilch, and Y. Yasufuku, Characterizations of Completions of Reduced Local Rings, Proc. Amer. Math. Soc., 129 (2001), 3193-3200.
- M. Florenz, D. Kunvipusilkul, and J. Yang, Constructing Chains of Excellent Rings with Local Generic Formal Fibers, Communications in Algebra, 30 (2002), 3569-3587.
- J. Bryk, S. Mapes, C. Samuels and G. Wang, Constructing Almost Excellent Unique Factorization Domains, Communications in Algebra, 33 (2005), 1321-1336.
- A. Dundon, D. Jensen, S. Loepp, J. Provine, and J. Rodu, Controlling Formal Fibers of Principal Prime Ideals, Rocky Mountain Journal of Mathematics, 37 (2007), 1871-1892.
- A. Boocher, M. Daub, R. Johnson, H. Lindo, S. Loepp, and P. Woodard, Formal Fibers of Unique Factorization Domains, Canadian Journal of Mathematics, 62 (2010), 721-736.A. Boocher, M. Daub, S. Loepp, Dimensions of Formal Fibers of Height one Prime Ideals, Communications in Algebra, (2010), no.1, 233-253.
- N. Arnosti, R. Karpman, C. Leverson, J. Levinson, and S. Loepp, Semi-Local Formal Fibers of Minimal Prime Ideals of Excellent Reduced Local Rings, Journal of Commutative Algebra, (2012), no.1, 29-56.
- J. Chatlos, B. Simanek, N. Watson, and S. Wu, Semilocal Formal Fibers of Principal Prime Ideals, Journal of Commutative Algebra, 4 (2012) no. 3, 369-385.
- J. Ahn, E. Ferme, F. Jiang, S. Loepp, and G. Tran, Completions of Hypersurface Domains, Communications in Algebra, (2013), no. 12, 4491-4503.
- P. Jiang, A. Kirkpatrick, S. Loepp, S. Mack-Crane, and S. Tripp, Controlling the Generic Formal Fibers of Local Domains and Their Polynomial Rings, Journal of Commutative Algebra, 7, (2015), no. 2, 241-264.
- S. Fleming, L. Ji, S. Loepp, P. McDonald, N. Pande, and D. Schwein, Controlling the Dimensions of Formal Fibers of a Unique Factorization Domain at the Height One Prime Ideals, Journal of Commutative Algebra, 10, (2018), no.4, 475-498.
- S. Fleming, L. Ji, S. Loepp, P. McDonald, N. Pande, and D. Schwein, Completely Controlling the Dimensions of Formal Fiber Rings at Prime Ideals of Small Height, Journal of Commutative Algebra, 11, (2019), no. 3, 363-388.
- C. Avery, C. Booms, T. Kostolansky, S. Loepp, and A. Semendinger, Characterization of Completions of Noncatenary Local Domains and Noncatenary Local UFDs, Journal of Algebra, 524, (2019), 1-18.
- E. Barrett*, E. Graf*, S. Loepp, K. Strong*, and S. Zhang*, Structure of Spectra of Precompletions, Rocky Mountain Journal of Mathematics, 50, (2020), no. 6, 1965-1988.
- E. Barrett*, E. Graf*, S. Loepp, K. Strong*, and S. Zhang*, Cardinalities of Prime Spectra of Precompletions, in Commutative Algebra, Contemporary Mathematics., vol.773, Amer. Math. Soc., Providence, RI, 2021, pp. 133-152.
Number Theory and Probability
Advisor: Steven J. Miller and possibly others
We’ll explore many of the interplays between number theory and probability / harmonic analysis, with projects drawn from L-functions, Random Matrix Theory, Additive Number Theory (such as the 3x+1 Problem and Zeckendorf decompositions), and Benford’s law. A common theme in many of these systems is either a probabilistic model or heuristic. For example, Random Matrix Theory was developed to study the energy levels of heavy nuclei. While it can be hard to analyze the behavior of a specific configuration it is often possible to say something about the configurations in aggregate. For instance, it is often easy to calculate an average over all configurations, and then appeal to a Central Limit Theorem type result to say that a generic systems behavior is close to this average. These techniques have been applied to many problems, ranging from the behavior of L-functions to the structure of networks to city transportation.
The choice of problems will be chosen by student interest from these and other related topics. For references for each set of problems and additional details, please go to http://www.williams.edu/Mathematics/sjmiller/public_html/ntprob19 , and you can access my papers at my homepage https://web.williams.edu/Mathematics/sjmiller/public_html/math/papers/papers.html as well as videos and slides for talks at https://web.williams.edu/Mathematics/sjmiller/public_html/math/talks/talks.hml
Statistical Approaches to Pattern Matching in Forensic Evidence
The validity of existing approaches to analyzing forensic evidence (such as bullet casings and footprints) has been called into question in recent years. We will work on statistical questions related to pattern matching, such as matching bullet casings or breech face impressions to guns or matching footprints to shoes. This work will be done in collaboration with the Center for Statistics and Applications in Forensic Evidence (CSAFE), introducing student researchers to a network of fellow students and professional statisticians working on related problems around the country. For sample topics and projects, see https://forensicstats.org/ .
Required qualifications: An introductory statistics course and a course in regression theory based on linear algebra and multivariable calculus, with at least moderate proficiency in R coding.
Preferred qualifications: Familiarity with machine learning/data mining techniques and experience working with large datasets.