Course syllabus

# Flerdimensionell analys med vektoranalys

Calculus in Several Variables

## FMAB35, 7,5 credits, G1 (First Cycle)

## General Information

## Aim

## Learning outcomes

## Contents

## Examination details

## Admission

## Reading list

## Contact and other information

Calculus in Several Variables

Valid for: 2017/18

Decided by: PLED F/Pi

Date of Decision: 2017-04-06

Main field: Technology.

Compulsory for: Pi1

Language of instruction: The course will be given in Swedish

The course aims at giving a basic treatment of calculus in several variables, including three-dimensional vector analysis. Particular emphasis is put on the role which calculus in several variables plays in applications in different subjects of technology, in order to give the future engineer a good foundation for further studies in mathematics as well as other subjects. The aim is furthermore to develop the student's ability in problem solving and to assimilate mathematical text.

Knowledge and understanding

For a passing grade the student must

- be able to compute with and handle elementary functions of several variables within the framework of the course, together with their derivatives and integrals, with confidence.
- be familiar with different representations of curves, surfaces and volumes in two and three dimensions, and be able to use them in computations.
- be able to carry out (specified) changes of variables in partial differential equations, and by this means to solve such equations.
- be familiar with the theory of optimization, local as well as global, and be able to find the solution in simple cases.
- be able to demonstrate an ability to independently choose methods to evaluate double and triple integrals, and be able to carry out the solution essentially correct.
- be able to demonstrate an ability to independently choose methods to evaluate curve and surface integrals, and be able to carry out the solution essentially correct.
- be familiar with the important theorems of vector analysis, and have an understanding of their physical interpretation.
- be able to demonstrate a good ability to carry out algebraic calculations within the context of the course.
- be able to give a general account of, and to illustrate the meaning of, such mathematical concepts in calculus in several variables that are used to construct and study mathematical models in the applications.
- be able to account for the contents of some central definitions, theorems and proofs.

Competences and skills

For a passing grade the student must

- in the context of problem solving, be able to demonstrate an ability to independently choose and use mathematical concepts and methods within calculus in several variables.
- in the context of problem solving be able to integrate concepts from different parts of the course.
- be able to demonstrate an ability to construct and analyse some simple mathematical models in calculus in several variables.
- be able to demonstrate an ability to explain mathematical arguments in a structured and logically clear way.
- have a basic ability to use the computer program Maple for visualisation and formula manipulation, and be able to identify some of its possibilities and limitations.

*Part 1. Calculus in several variables*

- Generalities on functions of several variables
*.*function surfaces, level surfaces, surfaces in parameter form, curvilinear coordinates. - Partial derivatives. Differentiability, tangent planes, error propagation. The chain rule. Applications to partial differential equations. Gradient, directional derivative, level curves. Study of stationary points. Curves, tangents, arc length. Surfaces, normal direction, tangent plane. Functional (Jacobi) matrix and determinant, linearisation. Implicit functions.
- Optimization on compact and non-compact domains. Optimization with constraints.
- Double and triple integrals. Iterated integration. Change of variables. Integration using level curves. Improper integrals. Applications: volume, centre of gravity.
- Curve integrals. Green's formula with applications. Potentials and exact differentials.
- Computer work. Visualization and formula manipulation using Maple.

*Part 2. Threedimensional vector analysis*

Surface integrals. Flux integrals. Divergence and rotation. Gauss' and Stokes' theorems. Potentials and exact differentials. The continuity equation.

Grading scale: TH - (U,3,4,5) - (Fail, Three, Four, Five)

Assessment: In the first subcourse a written test comprising theory and problem solving. (This test is identical with the one given for the course FMAB30). On the second subcourse a written test. The final grade is the grade obtained in the first test. Computer work.

The examiner, in consultation with Disability Support Services, may deviate from the regular form of examination in order to provide a permanently disabled student with a form of examination equivalent to that of a student without a disability.

Parts

Code: 0117. Name: Calculus in Several Variables.

Credits: 6. Grading scale: TH. Assessment: Written test comprising theory and problem solving. The test is identical to the one given for the course FMAB30. Contents: See part 1 above. (Coinciding with the contents of the course FMAB30.)

Code: 0217. Name: Three-dimensional Vector Analysis.

Credits: 1,5. Grading scale: UG. Assessment: Written test in the middle of the study period. Retakes in appropriate examination periods. Contents: See part 2 above.

Code: 0317. Name: Computer Work.

Credits: 0. Grading scale: UG.

Required prior knowledge: FMAA01 or FMAA05, Calculus in One Variable, FMAB20 Linear Algebra.

The number of participants is limited to: No

The course overlaps following course/s: FMA025, FMA430, FMAF15, MATB15, FMA435

- Jonas Månsson och Patrik Nordbeck: Flerdimensionell analys. Studentlitteratur, 2013, ISBN: 9789144080833.
- Övningar i flerdimensionell analys. Studentlitteratur, 2013, ISBN: 9789144092508.

Course coordinator: Studierektor Anders Holst, Studierektor@math.lth.se

Course homepage: http://www.maths.lth.se/course/flerdimvec/