Introduction to Partial Differential Equations - NMMA334
Title: Úvod do parciálních diferenciálních rovnic
Guaranteed by: Department of Mathematical Analysis (32-KMA)
Faculty: Faculty of Mathematics and Physics
Actual: from 2021
Semester: summer
E-Credits: 10
Hours per week, examination: summer s.:4/4, C+Ex [HT]
Capacity: unlimited
Min. number of students: unlimited
4EU+: no
Virtual mobility / capacity: no
State of the course: not taught
Language: Czech
Teaching methods: full-time
Teaching methods: full-time
Class: M Bc. OM
M Bc. OM > Zaměření MA
M Bc. OM > Zaměření NUMMOD
M Bc. OM > Povinně volitelné
Classification: Mathematics > Differential Equations, Potential Theory
Incompatibility : {NMMA339 a NMNM338}
Interchangeability : {NMMA339 a NMNM338}
Is incompatible with: NMNM338, NMMA339
Is interchangeable with: NMNM338, NNUM001, NMMA339
In complex pre-requisite: NMMA349, NMNM349
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Annotation -
Last update: G_M (16.05.2012)
An introductory course in partial differential equations for bachelor's program in General Mathematics. Recommended for specializations Mathematical Analysis and Mathematical Modelling and Numerical Analysis.
Course completion requirements -
Last update: doc. Mgr. Petr Knobloch, Dr., DSc. (18.02.2021)

Credit for the exercise is granted for passing a written test.

Literature -
Last update: doc. Mgr. Petr Knobloch, Dr., DSc. (31.10.2019)

Basic Literature

L. C. Evans: Partial Differential Equations, AMS 2010

K. W. Morton, D. F. Mayers: Numerical solution of partial differential equations, 2nd ed., Cambridge University Press, Cambridge, 2005

J. C. Strikwerda: Finite difference schemes and partial differential equations, 2nd ed., SIAM, Philadelphia, 2004

A. Quarteroni, A. Valli: Numerical Approximation of Partial Differential Equations, Springer, 2008.

Recommended Literature

O. John, J. Nečas: Rovnice matematické fyziky, SPN 1972

M. Feistauer: Diskrétní metody řešení diferenciálních rovnic. Skripta, SPN, Praha, l98l

S. J. Farlow: PDE for Scientists and Engineers, Dover, 1993

F. Sauvigny: Partial Differential Equations 1, Foundations and Integral Representations, Springer,2006

Requirements to the exam -
Last update: doc. Mgr. Petr Knobloch, Dr., DSc. (18.02.2021)

The exam is oral and corresponds to the material treated during the lectures.

Syllabus -
Last update: doc. Mgr. Petr Knobloch, Dr., DSc. (16.06.2015)

Basic examples of PDE's and their numerical solution by the finite difference method. Cauchy problem for a quasilinear PDE of the first order, transport equation, characteristics.

Von Neumann stability analysis of numerical schemes for Cauchy problems. Numerical solution of transport equation: CFL condition, upwinding, maximum principle, truncation error and approximation error, dissipation and dispersion.

Real analytic functions, Cauchy-Kowalevska Theorem, characteristic surfaces, classification of semilinear PDE's of the second order, transformation to canonical form.

Heat equation (fundamental solution, Cauchy problem, problem in bounded domain), wave equation (fundamental solution, Cauchy problem, energy methods).

Numerical solution of the mixed problem for heat equation: implicit and explicit schemes, theta-scheme, Fourier error analysis, maximum principle and convergence.

Relation between consistence, convergence and stability: general scheme for equations of the first order in time, Lax equivalence theorem.

Elliptic equations of the second order: fundamental solution of Laplace equation, Green's representation formula, Dirichlet problem for Laplace equation, mean value theorems, maximum principles.

Numerical solution of elliptic equations of the second order: approximation of general diffusion equation, derivation of schemes in irregular nodes, maximum principle and convergence.

Entry requirements -
Last update: doc. Mgr. Petr Knobloch, Dr., DSc. (15.05.2018)

Knowledge of mathematical analysis on the level of obligatory courses recommended for the first two years of the study branch General Mathematics is expected.