LSU College of Science
LSU
Mathematics

Graduate Course Outlines, Summer 2018-Spring 2019

Contact


All inquiries about our graduate program are warmly welcomed and answered daily:
grad@math.lsu.edu

Summer 2018

  • MATH 7999-1: Problem Lab in Algebra
    —practice for PhD Qualifying Exam in Algebra.
  • Instructor:
  • Prerequisite: Math 7210.
  • Text: Online Test Bank.
  • MATH 7999-2: Problem Lab in
    Real Analysis—practice for PhD Qualifying Exam in Analysis.
  • Instructor:
  • Prerequisite: Math 7311.
  • Text: Online Test Bank.
  • MATH 7999-3: Problem Lab in
    Topology—practice for PhD Qualifying Exam in Topology.
  • Instructor:
  • Prerequisite: Math 7510.
  • Text: Online Test Bank.

Fall 2018

  • MATH 4997-1:
    Vertically Integrated Research:
  • Instructor: Profs. Achar and Sage
  • Prerequisites:
  • Text:
  • MATH 4997-2:
    Vertically Integrated Research:
  • Instructor: Profs. Vela-Vick and Wong
  • Prerequisites:
  • Text:
  • MATH 7001:
    Communicating Mathematics I
  • 3:00-4:50 T Th
  • Instructor: Prof. Oxley.
  • Prerequisite: Consent of department. This course is required for all
    incoming graduate students. It is a lab course meeting for an
    average of two hours per week throughout the semester for
    one-semester-hour's credit.
  • This course provides practical training in the teaching of mathematics at
    the pre-calculus level, how to write mathematics for publication, and treats
    other issues relating to mathematical exposition.
    Communicating Mathematics I and II are designed to provide training
    in all aspects of communicating mathematics. Their overall goal is to teach
    the students how to successfully teach, write, and talk about mathematics to
    a wide variety of audiences. In particular, the students will receive
    training in teaching both pre-calculus and calculus courses. They will
    also receive training in issues that relate to the presentation of research
    results by a professional mathematician. Classes tend to be structured to
    maximize discussion of the relevant issues. In particular, each student
    presentation is analyzed and evaluated by the class.
  • MATH 7210: Algebra I
  • Instructor: Prof. Tu.
  • Prerequisites: Math 4200 Algebra I, or equivalent
  • Text: Abstract Algebra, 3rd ed; Dummit and Foote, Wiley 2003.
    References:
    1. A first course in Abstract Algebra; Fraleigh
    2. Algebra: An Approach via Module Theory; Adkins and Weintraub
  • This is the first semester of the first year graduate algebra sequence, and covers the material required for the Comprehensive Exam in Algebra. It will cover the basic notions of group, ring, module, and field theory.
    Topics will include
    GROUPS: finitely generated abelian groups, group actions, and the Sylow theorems;
    RINGS and MODULES: Euclidean domains, principal ideal domains, unique factorization domains, polynomial rings, and modules over PIDs;
    FIELDS: vector spaces, applications to Jordan canonical form, field extensions, and finite fields.
  • MATH 7230: Algebraic Number Theory.
  • Instructor: Prof. Mahlburg.
  • Prerequisites:
  • Text:
  • MATH 7240: Algebraic Geometry.
  • Instructor: Prof. Casper.
  • Prerequisites:
  • Text:
  • MATH 7311: Real Analysis I.
  • Instructor: Prof. Olafsson.
  • Prerequisites:
  • Text:
  • MATH 7350: Complex Analysis.
  • Instructor: Prof. Antipov.
  • Prerequisites:
  • Text:
  • MATH 7360: Probability Theory.
  • Instructor: Prof. Sundar.
  • Prerequisites:
  • Text:
  • MATH 7365: Applied Stochastic Analysis.
  • Instructor: Prof. Ganguly.
  • Prerequisites:
  • Text:
  • MATH 7380: Topics in Spectral Geometry.
  • Instructor: Prof. Zhu.
  • Prerequisites:
  • Text:
  • MATH 7384: Topics in Material Science:
  • Instructor: Prof. Shipman.
  • Prerequisites:
  • Text:
  • MATH 7386: Partial Differential Equations.
  • Instructor: Prof. Lipton.
  • Prerequisites:
  • Text:
  • MATH 7390-1: Variational Analysis and Dynamic Optimization.
  • Instructor: Prof. Wolenski.
  • Prerequisites:
  • Text:
  • MATH 7390-2: Variational Inequalities.
  • Instructor: Prof. Sung.
  • Prerequisites:
  • Text:
  • MATH 7490: Computational Combinatorics
  • Instructor: Prof. van Zwam.
  • Prerequisites:
  • Text:
  • MATH 7510: Topology I
  • Instructor: Prof. Dasbach.
  • Prerequisites:
  • Text:
  • MATH 7590: Heegaard Floer Homology.
  • Instructor: Prof. Wong.
  • Prerequisites:
  • Text:

Spring 2019

  • MATH 4997-1:
    Vertically Integrated Research:
  • Instructor: Profs. Achar and Sage
  • Prerequisites:
  • Text:
  • MATH 4997-2:
    Vertically Integrated Research:
  • Instructor: Profs. Vela-Vick and Wong
  • Prerequisites:
  • Text:
  • MATH 7002: Communicating
    Mathematics II
  • 3:00-4:50 T Th
  • Instructor: Prof. Oxley .
  • Prerequisite: Consent of department. This course is required for all
    incoming graduate students. It is a lab course meeting for an
    average of two hours per week throughout the semester for
    one-semester-hour's credit.
  • MATH 7211: Algebra II.
  • Instructor: Prof. Yakimov.
  • Prerequisites:
  • Text:
  • MATH 7230: Topics in Number Theory
  • Instructor: Profs. Hoffman. and Long.
  • Prerequisites: Basic Algebra and Topology; this is covered in Math 7210, 7510. Complex Analysis - familiarity with analytic functions; this is covered in Math 7350. It is helpful, but not required to have some exposure to Number Theory and Algebraic Geometry. There will be courses taught on these in Fall 2018 (Math 7230, 7240).
  • Text: No required text, but much of the material will be drawn from
    1. A First Course in Modular Forms (Graduate Texts in Mathematics,
      Vol. 228), Diamond & Shurman
    2. A Classical Introduction to Modern Number Theory, Ireland &Rosen,
      (Graduate Texts in Mathematics) (v. 84)
    3. An Introduction to the Langlands Program, Bernstein& Gelbart (eds)
  • The focus is on L-functions. These are at the center of much research today. Themes: Euler products; analytic continuation and functional equations; special values; relations among different kinds of L-functions. Briefly there are two broad classes of L-functions: those that arise from automorphic forms and those that arise from geometry.
    There are conjectural relations between the L-functions of the first kind with those of the second kind. We start with the classical Dirichlet L-functions and move on to the L-functions defined by modular forms. We give an exposition of Tate's thesis which gives a unified account of the L-functions that arise from abelian characters of Galois groups. We also give an introduction to L-functions arising from algebraic varieties, for instance algebraic curves. We then describe relations, proven and conjectural among these. This course is more like a seminar. The topics and level will depend on the students. Each student will have a project to do, with a written report and a lecture exposition.
  • MATH 7250: Representation Theory
  • Instructor: Prof. Zeitlin.
  • Prerequisites:
  • Text:
  • MATH 7290: Langlands Program
  • Instructor: Prof. Sage.
  • Prerequisites:
  • Text:
  • MATH 7320: Ordinary Differential
    Equations.
  • Instructor: Prof. Shipman
  • Prerequisites:
  • Text:
  • MATH 7330: Functional Analysis.
  • Instructor: Prof. Estrada.
  • Prerequisites:
  • Text:
  • MATH 7366: Stochastic Analysis.
  • Instructor: Prof. Kuo.
  • Prerequisites:
  • Text:
  • MATH 7380: Topics in Elliptic Partial Differential Equations
  • Instructor: Prof. Nguyen.
  • Prerequisites:
  • Text:
  • MATH 7384-1: Topics in Material
    Science:
  • Instructor: Prof. Shipman.
  • Prerequisites:
  • Text:
  • MATH 7384-2: Topics in Material
    Science:
  • Instructor: Prof. Lipton.
  • Prerequisites:
  • Text:
  • MATH 7390: Topics Course (TBA)
  • Instructor: Prof. Zhang.
  • Prerequisites:
  • Text:
  • MATH 7490: Tutte Polynomial for Matroids and Graphs.
  • Instructor: Prof. Oxley.
  • Prerequisites: Math 7410 and 7490 (Matroid Theory) or permission of the department.
  • Text: Matroid Applications edited by Neil White (Chapter 6: The Tutte Polynomial and its Applications by Thomas Brylawski and James Oxley)
  • The theory of numerical invariants for matroids is one of many aspects of matroid theory having its origins within graph theory. Most of the fundamental ideas in matroid invariant theory were developed from graphs by Veblen, Birkhoff, Whitney, and Tutte when considering colorings and flows in graphs. This course will introduce the Tutte polynomial for matroids and will consider its applications in graph theory, coding theory, percolation theory, electrical network theory, and statistical mechanics.
  • MATH 7512: Topology II.
  • Instructor: Prof. Gilmer.
  • Prerequisites:
  • Text:
  • MATH 7550: Differential Geometry.
  • Instructor: Prof. Cohen.
  • Prerequisites:
  • Text:
  • MATH 7590-1: Geometric Topology: Symplectic Geometry.
  • Instructor: Prof. Vela-Vick.
  • Prerequisites:
  • Text:
  • MATH 7590-2: Bounded Cohomology
  • Instructor: Prof. Dani
  • Prerequisites:
  • Text:
  • MATH 7710: Advanced Numerical Linear Algebra.
  • Instructor: Prof. Walker.
  • Prerequisites:
  • Text: