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Third-Cycle Courses

Faculty of Engineering | Lund University

Details for the Course Syllabus for Course FMA205F valid from Spring 2025

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General
  • English
  • If sufficient demand
Aim
  • The aim of the course is to enlighten and combine different areas, methods
    and view points in mathematics. In particular, group theory, geometry, analysis,
    probabilty theory, ergodic theory and dynamical system theory. The outcome
    should be that students from different fields of mathematics will see that one
    and the same area of research has different aspects and view points and that
    general progress can only be made by combining many of the different methods and
    ideas. On the other hand the students will learn that these combinations of
    ideas will also contribute to the development of the single different areas. A
    second point is that the topic of the course is a central field of research in
    modern mathematics and some of the most prestigious mathematicians are working
    on it. A welcome output of the course is to encourage the PhD students to look
    out of their own special field of research and try to adopt methods and view
    points from other even far away areas of mathematics. The students should see
    that mathematics is not divided into different non-overlapping areas but rather
    a unified combination of all areas.
Contents
  • Basic properties of random walks, the ergodic theorems of Birkhoff and Kingman, Markov operators, Dirichlet forms, isoperimetric inequalities, the Liouville property of a random walk, boundary of a random walk,
    geometry of hyperbolic groups, and Gromov’s classification of groups of polynomial growth.
Knowledge and Understanding
  • For a passing grade the doctoral student must
  • Understand how combined methods from different fields leads to profound results on random walks.
Competences and Skills
  • For a passing grade the doctoral student must
  • Be familiar with applying methods from group theory, geometry and ergodic theory to analyse random walks.
Judgement and Approach
  • For a passing grade the doctoral student must
  • choose appropriate methods for analysing problems on random walks.
Types of Instruction
  • Seminars
  • Self-study literature review
Examination Formats
  • Oral exam
  • Seminars given by participants
  • Failed, pass
Admission Requirements
  • Master studies in mathematics at LTH or NF, or equivalent.
Assumed Prior Knowledge
  • Basic knowledge in algebra, probability and geometry.
Selection Criteria
Literature
  • Lalley, Steven P.: Random walks on infinite groups.. Springer Verlag, 2023.
Further Information
Course code
  • FMA205F
Administrative Information
  • 2024-11-26
  • Maria Sandsten

All Published Course Occasions for the Course Syllabus

1 course occasion.

Start Date End Date Published
2025‑01‑07 (approximate) 2025‑06‑08

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