173-0006-00L  Mathematical Tools II - Advanced Multivariate Calculus

SemesterFrühjahrssemester 2024
DozierendeM. Akveld
Periodizitätjährlich wiederkehrende Veranstaltung
LehrspracheEnglisch


KurzbeschreibungIn this course we will give a brief review of more dimensional calculus. The main focus of the course is vector analysis (integral theorems) and PDEs.
LernzielStudents understand mathematics as a language for modelling and as a tool for solving practical engineering problems. They can analyse models, describe solutions qualitatively or calculate
them explicitly if need be. They can solve examples as well as their practical applications manually and using computer algebra systems.
InhaltWeek 1
Day 1 – Revision more dimensional calculus
• Discussion of self assessment.
• More dimensional differentiation (partial derivatives, directional derivatives, gradient, extrema etc.).
• More dimensional integration (iterated integrals, Fubini, change of coords (polar, cylindrical, spherical), Jacobi determinant)
• Physical applications

Prerequisites:
• 1-dimensional differentiation and integration

Day 2 – Vector analysis 1: Vector fields
• Revision Vector fields
• Line integrals
• 2D flux and circulation
• Fundamental theorem for line integrals

Prerequisites:
• Some knowledge of vector fields
• 1-dimensional integration


Day 3 – Vector analysis 2:
• Green’s Theorem (2D versions of Stokes and Gauss)
• Surface integrals

Prerequisites:
• vector product (interpretation of vector and of its length)



Day 4 – Vector analysis 3:
• Divergence and Rotation
• Gauss’s Theorem (or divergence Theorem)
• Stokes’s Theorem
• Applications



Day 5 – Revision ODEs 1st and 2nd order and Laplace transforms
• Odes 1st and 2nd order
• Laplace transforms
• Heaviside- and δ-function
• Summary of Week 1

Prerequisites:
• Mathematical Tools I
• Methods for solving ODEs 1st order (separation of variables, variation of constant)


Week 2
Day 6 – Introduction and classification of PDEs:
• General introduction
• Classification
• Terminology (Dirichlet, Neumann, mixed problems)



Day 7 – Wave equation (1D and 2D)
• Separating Variables
• (double) Fourier Series
• d'Alembert’s solution
• method of characteristics
• Steady State solution


Day 8 – Heat equation
• Fourier series
• Fourier integrals
• Fourier transforms

Prerequisites:
• Fourier series

Day 9 – Laplace equation
• Polar coordinates -> Fourier-Bessel series
• cylindrical and spherical coordinates -> Euler-Cauchy
• Using Laplace transforms


Prerequisites:
• Change of coordinates


Day 10 – Reserve time
• Summary
• Preparation for the exam
Literatur• E.Kreyszig; Advanced Engineering Mathematics, 10th Edition Wiley (check!)
• W.Briggs, L.Cochran; Multivariable Calculus 2/E Pearson Hall, 2015
Voraussetzungen / Besonderes• Ashesi-Maths-Courses “Differential Equations Numerical Methods” (ODE part) or similar course in an Engineering BSc programme
• “Multi-variable Calculus, Linear Algebra” or similar course in an Engineering BSc programme
• Mathematical Tools I (in particular Fourier Series)