Course detail
Mathematics for Applications
FSI-9MPA Acad. year: 2021/2022 Summer semester
The exposition will face across the traditional classification of mathematical branches so that it will respect students´ needs and options. It will be directed in an interactive form in order to respond to suggestions of students. A global view of problems enables students to see connections among apparently remote branches of mathematics.
Language of instruction
Czech
Supervisor
Department
Learning outcomes of the course unit
Students get acquainted with a broad range of mathematical concepts occurring in physical applications, both from mathematical analysis and from algebra. They will be made familiar with derivatives and partial derivatives and their use when investigating extremes. A further topic are indefinite, definite, and more-dimensional integrals in the sense of Riemann and of Lebesgue. A next part of the programme are functions of a complex variable. Last but not least, students will revise important notions from linear algebra.
Prerequisites
Linear algebra, differential and integral calculus.
Planned learning activities and teaching methods
The course is taught through lectures explaining the basic principles and theory of the discipline.
Assesment methods and criteria linked to learning outcomes
The course is finished by an oral examination. The examiner verifies the knowledge of definitions, theorems, and algorithms and the ability of their use in concrete applications.
Aims
The aim of the subject is a summarization, extension, and enlargement of knowledge of mathematics from bachelor´s and master´s studies with a view to applications, especially in physical engineering.
Specification of controlled education, way of implementation and compensation for absences
Attendance at lectures is recommended. The lessons are planned on the basis of a weekly schedule. It is possible to study individually according to the recommended literature with the use of consultations.
The study programmes with the given course
Programme CEITEC-AMN-EN-K: Advanced Materials and Nanosciences, Doctoral, recommended course
Programme CEITEC-AMN-CZ-K: Advanced Materials and Nanosciences, Doctoral, recommended course
Programme CEITEC-AMN-CZ-P: Advanced Materials and Nanosciences, Doctoral, recommended course
Programme CEITEC-AMN-EN-P: Advanced Materials and Nanosciences, Doctoral, recommended course
Programme CEITEC-AMN-EN-Z: Advanced Materials and Nanosciences, Doctoral, recommended course
Programme D-FIN-P: Physical Engineering and Nanotechnology, Doctoral, recommended course
Programme D-FIN-K: Physical Engineering and Nanotechnology, Doctoral, recommended course
Type of course unit
Lecture
20 hours, optionally
Syllabus
(the choice will issue from specializations of of individual students)
Differential and integral calculus of functions of one variable
- Derivative, its geometrical and physical meaning
- Investigation of a function
- Taylor´s series
- Primitive function
- Evaluation of integrals by a substitution and by parts
- Riemann´s definite integral – geometrical and physical meaning
- Lebesgue´s integral
- Delta function and theory of distributuions
Differential and inegral calculus of functions of more variables
- Partial derivatives
- Total differential – applications in physics
- Extremes and saddle points
- Differential operators: gradient, divergence, curl, and Laplacian – applications in physics
- Geometrical and physical meaning of double and triple integral
- Transformation of coordinates – Jacobian
- Line integral – independence of the path of integration
- Surface integral
- Green´s, Gauss´, and Stokes´ theorems – applications in physics
Series
- Numerical series
- Functional series
- Fourier series
Analysis in complex domain
- Holomorphic functions
- Integral in complex domain, Cauchy´s theorem
- Taylor´s and Laurent´s series, theory of residues
- Hilbert transform
Differential equations
- Ordinary linear differential equations
- Systems of ordinary linear differential equations with constant coefficients
- Partial differential equations (Fourier method, method of characteristics)
Algebra
- Systems of linear equations
- Matrices and determinants
- Polynomials and solution of algebraic equations in complex domain
- Groups
Elements of functional analysis
- Metric, vector, unitary, and Hilbert spaces
- Spaces of functions
- Orthogonal systems, orthogonal (Fourier) transform
Elements of calculus of variations