ADVANCED ANALYSIS 1
OVERVIEW
Language: Italian
AIMS AND CONTENT
LEARNING OUTCOMES
The course aims to provide an introduction to distribution theory and some of its applications
Teaching methods
Teaching style: In presence
SYLLABUS/CONTENT
Convolution of two functions.
Locally convex topological vector spaces.
Definition of a distribution. The space of test functions and the space of distributions. Order of a distribution. Distributions of order 0. Calculus on distributions. Compactly supported distributions. Distributions supported in a point. Regularization of divergent integrals. Convolution of a distribution with a test function. Convolution of two distributions. Analytic continuation of distributions.
Fundamental solutions of constant coefficients operators. Hypoelliptic operators. Parametrics. The local structure of distributions.
Fourier transform. Temperated distributions. Fundamental solutions of Laplace and heat operators. The Cauchy problem for the heat operator. Fourier transform of compactly supported distributions. Paley-Wiener theorems. Sobolev spaces (definition). The Cauchy problem for the wave operator. Finite speed of propagation. Fundamental solution of the wave operator.
The Schwartz kernel theorem.
TEACHERS AND EXAM BOARD
Exam Board
ANDREA BRUNO CARBONARO (President)
ADA ARUFFO
GIOVANNI ALBERTI (President Substitute)
LESSONS
Teaching methods
Teaching style: In presence
LESSONS START
The class will start according to the academic calendar.
EXAMS
Exam description
Oral.