Partial Differential Equations I
Code  Completion  Credits  Range  Language 

2011088  ZK  5  2P+1C  Czech 
 Garant předmětu:
 Stanislav Kračmar
 Lecturer:
 Stanislav Kračmar
 Tutor:
 Stanislav Kračmar
 Supervisor:
 Department of Technical Mathematics
 Synopsis:

The course contains the essential parts of the classical theory of partial differential equations (PDE), firstorder equations, the classification of secondorder equations, the derivation of some important equations of mathematical physics, the method of characteristics, the Fourier method of the series. The theory of elliptical equations, principles of maxima, the uniqueness of solutions, potential methods, the concept of a fundamental solution and the method of the Green functions will be discussed in more detail.
Students will be acquainted with the apparatus used in the field of partial differential equations: Fourier transform and its use. Distributions and generalized derivatives. Important inequalities: Friedrich's inequality, Poincare's inequality, Minkowsky inequality,
Mathematical means used in the socalled modern PDE theory will be discussed, the basis of which will be the subject of PDE II: Fundamentals of functional analysis: Hilbert spaces, Banach spaces, and their properties, linear operators in these spaces. Riesz's theorem. The concept of the continuous embedding and the compact embedding. Convergent and weakly convergent sequences. Sobolev spaces, the theorem on the equivalence of norms, the theorem on traces of functions from Sobolev's space, assertions on continuous and compact embeddings of Sobolev spaces.
Introduction in variational methods of PDE. Using the results of the functional analysis to introduce and study weak solutions of elliptic, parabolic and hyperbolic equations.
 Requirements:
 Syllabus of lectures:

The course contains the essential parts of the classical theory of partial differential equations (PDE), firstorder equations, the classification of secondorder equations, the derivation of some important equations of mathematical physics, the method of characteristics, the Fourier method of the series. The theory of elliptical equations, principles of maxima, the uniqueness of solutions, potential methods, the concept of a fundamental solution and the method of the Green functions will be discussed in more detail.
Students will be acquainted with the apparatus used in the field of partial differential equations: Fourier transform and its use. Distributions and generalized derivatives. Important inequalities: Friedrich's inequality, Poincare's inequality, Minkowsky inequality,
Mathematical means used in the socalled modern PDE theory will be discussed, the basis of which will be the subject of PDE II: Fundamentals of functional analysis: Hilbert spaces, Banach spaces, and their properties, linear operators in these spaces. Riesz's theorem. The concept of the continuous embedding and the compact embedding. Convergent and weakly convergent sequences. Sobolev spaces, the theorem on the equivalence of norms, the theorem on traces of functions from Sobolev's space, assertions on continuous and compact embeddings of Sobolev spaces.
Introduction in variational methods of PDE. Using the results of the functional analysis to introduce and study weak solutions of elliptic, parabolic and hyperbolic equations.
 Syllabus of tutorials:
 Study Objective:
 Study materials:

K. Rektorys: Variational Methods in Mathematics, Science and Engineering. Springer, Netherlands,1977.
L. C. Evans: Partial differential equations. Graduate Studies in Mathematics, Vol 19, American Mathematical Society, Second Edition 2010.
M. Chipot: Elliptic equations. An Introductory cource. Birkhauser Verlag, 2009.
M. E. Taylor: Partial differential equations I. Applied Mathematical Sciences 115, Springer, 2011.
 Note:
 Timetable for winter semester 2022/2023:
 Timetable is not available yet
 Timetable for summer semester 2022/2023:

06:00–08:0008:00–10:0010:00–12:0012:00–14:0014:00–16:0016:00–18:0018:00–20:0020:00–22:0022:00–24:00
Mon Tue Wed Thu Fri  The course is a part of the following study plans:

 13 136 NSTI MMT 2012 základ (compulsory course in the program)