M8110 Partial Differential Equations I

Faculty of Science
Spring 2002
Extent and Intensity
2/1/0. 4 credit(s). Type of Completion: zk (examination).
Teacher(s)
doc. RNDr. Martin Kolář, Ph.D. (lecturer)
Guaranteed by
doc. RNDr. Martin Kolář, Ph.D.
Department of Mathematics and Statistics – Departments – Faculty of Science
Contact Person: doc. RNDr. Martin Kolář, Ph.D.
Prerequisites (in Czech)
M5160 Differential Eqs.&Cont. Models || M6160 Differential Eqs.&Cont. Models
Course Enrolment Limitations
The course is also offered to the students of the fields other than those the course is directly associated with.
fields of study / plans the course is directly associated with
Course objectives
I. Introduction First order equations Cauchy problem for k-th order equations Classification of second order equations and canonical forms Derivation of the basic equations of mathematical physics and initial and boundary conditions II Classical methods Method of characteristics Separation of variables Integral transformations Green's function Maximum principles, harmonic functions and uniqueness of solutions
Literature
  • ARSENIN, Vasilij Jakovlevič. Metody matematičeskoj fiziki i special'nyje funkcii. 2. perer. i dop. izd. Moskva: Nauka. 382 s. 1984. info
Language of instruction
Czech
Further Comments
The course is taught annually.
The course is taught: every week.
Listed among pre-requisites of other courses
The course is also listed under the following terms Autumn 2007 - for the purpose of the accreditation, Spring 2000, Autumn 2010 - only for the accreditation, Spring 2001, Spring 2003, Spring 2004, Autumn 2004, Autumn 2005, Autumn 2006, Autumn 2007, Autumn 2008, Autumn 2009, Autumn 2010, Autumn 2011 - acreditation, Autumn 2012, Autumn 2014, Autumn 2015, Autumn 2016, autumn 2017, Autumn 2018, Autumn 2019, Autumn 2020, autumn 2021, Autumn 2022, Autumn 2023, Autumn 2024.
  • Enrolment Statistics (Spring 2002, recent)
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