PřF:F2712 Mathematics 2 - Course Information
F2712 Mathematics 2
Faculty of ScienceSpring 2020
- Extent and Intensity
- 4/3/0. 6 credit(s) (plus extra credits for completion). Type of Completion: zk (examination).
- Teacher(s)
- Mgr. Pavla Musilová, Ph.D. (lecturer)
Mgr. Michal Pazderka, Ph.D. (seminar tutor) - Guaranteed by
- Mgr. Pavla Musilová, Ph.D.
Department of Theoretical Physics and Astrophysics – Physics Section – Faculty of Science
Contact Person: Mgr. Pavla Musilová, Ph.D.
Supplier department: Department of Theoretical Physics and Astrophysics – Physics Section – Faculty of Science - Timetable
- Thu 11:00–12:50 F3,03015, Fri 11:00–12:50 F3,03015
- Timetable of Seminar Groups:
- Prerequisites
- Grammar school mathematics, matter of Mathematics 1
- 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
- Applied Physics (programme PřF, B-AF, specialization Astrophysics)
- Applied Physics (programme PřF, B-AF, specialization Medical Physics)
- Biophysics (programme PřF, B-FY)
- Course objectives
- The discipline is a second part of Mathematics for students of bachelor studies of applied physics and non-physical programs. Its aim is to give students a knowledge and understanding of fundamental concepts of basic mathematical disciplines required for natural sciences and technical disciplines -- mathematical analysis, linear algebra and geometry, probability theory.
- Learning outcomes
- Absolving the discipline a student obtain following knowledge and skills:
-understanding of the concept of linearity, ability of practical calculus in linear algebra and geometry (calculations with vectors and linear mappings in bases using matrix algebra, solving eigenvalue problem),
-skills in calculations using curvilinear coordinates,
-Solving simple differential equations and systems of differential equations, and their use for applications in physics, geometry, technical disciplines, chemistry, etc.
- understanding of differential calculus of n-variable functions,
-understanding of basic concepts of vector analysis and practical calculations including applications - Syllabus
- 4.Linear algebra second time
- 4.1 Vector spaces
- * groups, rings, fields
- * finite-dimensional vector spaces: axioms, linear dependent and independent systems of vectors, bases, examples -- matrices as vectors
- * representation of vectors in bases
- * vector subspaces, sum and intersection of subspaces, complements of subspaces, dimensions and bases of subspaces
- 4.2 Linear mapping of vector spaces
- * the concept of a linear mapping, examples
- * representation of linear mappings in bases
- * kernel and image of a linear mapping
- * projections
- 5. Coordinate systems
- 5.1 Cartesian coordinate system
- * Cartesian coordinates in R2 a R3
- * coordinate lines and planes
- * element of a surface and a volume
- 5.2 Curvilinear coordinates
- * partial derivatives
- * polar and cylindrical coordinates, their coordinate lines and surfaces, elementary surface and elementary volume
- * spherical coordinates, their coordinate lines and surfaces, elementary surface and elementary volume
- * general curvilinear coordinates, their coordinate lines and surfaces, elementary surface and elementary volume
- 6.Linear algebra last time
- 6.1 Scalar product
- * scalar product
- * orthonormal bases
- * orthogonal projection, least squares method from the algebraical poit of view
- 6.2 Eigenvalue problem
- * eigenvectors and eigenvalues of linear operators, diagonalization, spectrum
- * orthogonal and symmetrical operators and their diagonal form
- * linear operators and tensor quantities
- * linearity in technical applications
- 7.Ordinary differential equations
- 7.1 First order equations
- * equations with separated variables, nuclear decay, absorption of radiation, solution of equations
- * linearity and exponential laws
- * linear equation
- 7.2 Second order and higher order linear equations
- * homogeneous linear equation with constant coefficients
- * inhomogeneous linear equation, solution by variation of constants method
- * equations of motion for simple physical systems, oscillations
- 7.3 Systems of linear differential equations
- * first order systems of equations
- * second order systems of equations: oscillations of many body systems, examples
- 8. A note on multiple variable functions
- 8.1 Functions and their graphs
- * functions of two and three variables
- * graphs of funcitons of two and three variables, quadratic surfaces
- * partial derivatives, chain rule for composed functions
- * total differential
- * gradient
- 8.2 Differential operators
- * vector multiple variable functions, integral curves of vector fields
- * divergence a rotation of a vector field, operator nabla and Laplace operator
- Literature
- required literature
- MUSILOVÁ, Jana and Pavla MUSILOVÁ. Matematika II pro porozumění i praxi (Mathematics II for understanding and praxis). první. Brno: VUTIUM (Vysoké učení technické v Brně), 2012, 697 pp. ISBN 978-80-214-4071-5. info
- recommended literature
- KVASNICA, Jozef. Matematický aparát fyziky. Vyd. 2., opr. Praha: Academia, 1997, 383 s. ISBN 8020000887. info
- MUSILOVÁ, Jana and Pavla MUSILOVÁ. Matematika pro porozumění i praxi I (Mathematics for understanding and praxis I). Vydání druhé, doplněné. Brno: VUTIUM, VUT Brno, 2009, 339 pp. Vysokoškolské učebnice. ISBN 978-80-214-3631-2. info
- Teaching methods
- Lectures: theoretical explanation with practical examples
Exercises: solving problems for understanding of basic concepts and theorems, contains also more complex problems, homeworks, tests - Assessment methods
- Teaching: lectures and exercises
Exam: written test (solving problems and test), oral exam - Language of instruction
- Czech
- Further comments (probably available only in Czech)
- Study Materials
The course is taught annually.
- Enrolment Statistics (Spring 2020, recent)
- Permalink: https://is.muni.cz/course/sci/spring2020/F2712