Course syllabus

Flerdimensionell analys
Calculus in Several Variables

FMA430, 6 credits, G1 (First Cycle)

Valid for: 2015/16
Decided by: Education Board B
Date of Decision: 2015-04-16

General Information

Main field: Technology.
Compulsory for: B2, BI2, BME2, C2, D2, E1, F1, I1, K2, L2, M1, MD1, N2, V2, W2
Elective for: IBYA3, IBYV3, IDA3, IEA3
Language of instruction: The course will be given in Swedish

Aim

The course aims at giving a basic treatment of calculus in several variables. Particular emphasis is given to the role this 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 to solve problems and to assimilate mathematical text.

Learning outcomes

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 with confidence, together with their derivatives and integrals.
• 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 correctly.
• be able to demonstrate an ability to independently choose method to evaluate a curve integral, and be able to carry out the solution essentially correctly.
• 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 show capability to explain mathematical arguments in a structured and logically clear way.
• have a basic ability to use Maple for visualisation and formula manipulation, and be aware of its possibilities and limitations.

 

Contents

• 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. Implicitly given functions.

• Optimization on compact and non-compact domains. Optimization with constraints.

• Double and triple integrals. Iterated integration. Change of variables. Improper integrals. Applications: volume, moment of inertia, centre of gravity.

• Curve integrals. Green's formula with applications. Potential and exact differential.

• Computer work. Visualisation and formula manipulation using Maple.

Examination details

Grading scale: TH
Assessment: Written test comprising theory and problem solving. Computer work.

Parts
Code: 0108. Name: Calculus in Several Variables.
Credits: 6. Grading scale: TH.
Code: 0208. Name: Computer work.
Credits: 0. Grading scale: UG.

Admission

Required prior knowledge: Single variable calculus, e g one of the courses FMAA01, FMAA05, FMA415 or FMA645, and linear algebra, e g one of the courses FMA420, FMA656 or FMAA20.
The number of participants is limited to: No
The course overlaps following course/s: FMA025, FMA435

Reading list

• Jonas Månsson och Patrik Nordbeck: FLERDIMENSIONELL ANALYS. Studentlitteratur, 2013, ISBN: 9789144080833.
• ÖVNINGAR I FLERDIMENSIONELL ANALYS. Studentlitteratur, 2013, ISBN: 9789144092508.

Contact and other information

Course coordinator: Studierektor Anders Holst, Studierektor@math.lth.se
Course homepage: http://www.maths.lth.se/course/flerdim/