Student Probability

Organizer: Christian Serio

Past Events

Student Probability
Friday, November 3, 2023
4:00 PM
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383N
Jiyun Park (Stanford)

Abstract: I will continue on from last week's talk, where we discussed the paper "Wilson loop expectations in lattice gauge theories with finite gauge groups" (Sky Cao, Comm. Math. Phys., 2020). In particular, I will review the definitions from last week, derive the discrete Stokes' theorem, and…

Student Probability
Friday, October 27, 2023
4:00 PM
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383N
Fred Rajasekaran

Abstract:

I will begin to present the proof of the main result in "Wilson loop expectations in lattice gauge theories with finite gauge groups" (Sky Cao, Comm. Math. Phys., 2020).

Student Probability
Friday, October 20, 2023
4:00 PM
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383N
Nathan Tung (Stanford)

Abstract: 

I will cover Sourav's survey with the same name, including the idea of a Euclidean Yang-Mills theory and how we hope to attain such a theory by approximating with lattice YM. I will also briefly discuss Wilson loops and their physical significance.

Student Probability
Friday, October 13, 2023
4:00 PM
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383N
Arka Adhikari

Abstract

In this talk, I will give a brief overview of the physical motivations of Yang-Mills Theories. On a non-rigorous level, this will entail some discussion of the path integral and Quantum Electro Dynamics.

Student Probability
Friday, October 6, 2023
3:00 PM
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383N
Arka Adhikari

Abstract: In this talk, I will give a brief overview of the physical motivations of Yang-Mills Theories. On a non-rigorous level, this will entail some discussion of the path integral and Quantum Electro Dynamics.

Student Probability
Friday, June 9, 2023
3:00 PM
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384H
Henry Bosch (Stanford)
Student Probability
Friday, June 2, 2023
3:00 PM
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384H
Zhenyuan Zhang (Stanford)

Abstract

Student Probability
Friday, May 26, 2023
3:00 PM
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384H
Shengtong Zhang (Stanford)
Student Probability
Friday, May 19, 2023
3:00 PM
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384H
Jiyun Park (Stanford)

Abstract

Student Probability
Friday, May 12, 2023
10:00 AM
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Zoom
Matthis Lehmkühler (ETH Zurich)

Abstract:

Discrete (resp. Brownian) loop soups are random collections of loops on graphs (resp. in the continuum) defined as Poisson point processes with the intensity measure given by what is known as the discrete (resp. Brownian) loop soup measure. In the discrete setting, we will…