Course Identification

Generalized functions

Lecturers and Teaching Assistants

Prof. Dmitry Gourevitch

Course Schedule and Location

Second Semester
Thursday, 10:15 - 13:00, Ziskind, Rm 155

Field of Study, Course Type and Credit Points

Mathematics and Computer Science: Lecture; Elective; Regular; 4.00 points




Students are expected to be familiar on a basic level with at least 80% of the following notions:

Linear algebra:
Vector space, linear map, subspace, quotient space, dual space, Tensor product.

Topological space, Locally compact space, metric space, Complete metric space, completion of a metric space.

Differentiable manifold, tangent space, tangent bundle.

Group theory:
Group, group action, abelian group,

Functional analysis:
Hilbert space, Fourier series, measure, Fourier transform



Language of Instruction


Attendance and participation

Expected and Recommended

Grade Type

Pass / Fail

Grade Breakdown (in %)


Evaluation Type

No final exam or assignment

Scheduled date 1


Estimated Weekly Independent Workload (in hours)



We will study the theory of generalized functions and distributions (which are almost the same thing) on various geometric objects, operations with distributions (like pushforward, pullback and Fourier transform), and invariants of distributions (like the support and the wave front set).

The topic by its nature is analytic, but my point of view on this topic is oriented towards representation theory and algebraic geometry, so the course will have some algebraic and geometric flavor. We will discuss both the Archimedean case (i.e. distributions on real geometric objects) and the non-Archimedean case (i.e. distributions on p-adic geometric objects). We will discuss the similarity and difference of both cases.

In addition to the main topic of the course, we will have "digressions" (i.e. some lectures that are related to the main topic but not part of it) on: Functional analysis, p-adic numbers, Harmonic analysis on locally compact abelian groups, Differentiable manifolds, Nuclear spaces, algebraic and semi-algebraic geometry. Those digressions will be done on a very basic level, with the aim of making the students familiar with the basic notions in this topics. In case some of these topics will turn out to be too complicated, we will exclude them together with the related parts of the main topic.

Learning Outcomes

Upon successful completion of this course students should be able to:

  1. Use the advanced language and toolkit of generalized functions and distributions.
  2. Discuss the relation between generalized functions and analysis on manifolds, and algebraic geometry

Reading List

  1. [GS]  I.M. Gelfand, G. Shilov Generalized functions volumes I,II.
    More precisely: Volume 1, Chapters 1-3.1, and Volume 2, Chapters 1-3
  2. [Hor] L. Hormander, The analysis of linear partial differential operators. I. Distribution theory and Fourier analysis. Grundlehren der Mathematischen Wissenschaften 256. Springer-Verlag, Berlin, 1990.
    More precisely: chapters 1-8
  3. [BZ76] J. Bernstein, A.V. Zelevinsky, Representations of the group GL(n,F), where F is a local non-Archimedean field, Uspekhi Mat. Nauk.10/3, (1976).
    More precisely:  Chapter 1, section 1.