## MAS111 Mathematics Core II

Note: This is an old module occurrence.

You may wish to visit the module list for information on current teaching.

 Semester 2, 2019/20 20 Credits Lecturer: Dr Frazer Jarvis uses MOLE Timetable Aims Outcomes Teaching Methods Assessment Full Syllabus

This module aims to extend the material from MAS110. The central aims of this course will be to learn how to interpret the geometry of functions with more than one variable, solve systems of linear equations, and use calculus to understand the graphs of functions with several variables and the volumes that they bound. Material covered will include, but is not limited to, plane and solid geometry, matrix multiplication, linear equations, Gaussian elimination, graphs and level sets of functions with two variables, partial derivatives, volumes, and double integrals.

Prerequisites: MAS110 (Mathematics Core I)

The following modules have this module as a prerequisite:

 MAS112 Vectors and Mechanics MAS211 Advanced Calculus and Linear Algebra MAS220 Algebra MAS221 Analysis MAS222 Differential Equations

## Outline syllabus

• Basic plane geometry in 2 and 3 dimensions; solution of simultaneous equations, both geometrically as intersections of planes, and algebraically via Gaussian reduction.
• Matrices: introduction; interpretation as linear maps and the multiplication rule; determinants; eigenvalues and eigenvectors; change of basis.
• Functions of two variables and partial differentiation; the Chain rule; the Taylor series; tangents and normals; Jacobians; higher partial derivatives; classification of stationary points.
• Multivariable integration: 1-dimensional integration as area under a graph; 2-dimensional integration as a volume; double integrals; change of variables.

## Office hours

I am generally in my office (J12) when not lecturing. Not all my commitments are yet timetabled for the semester - for the moment, please just send me an email if you would like to see me, or simply just knock on my door. There is also a Discussion Board on the Blackboard page.

## Aims

• To demonstrate techniques for representing lines and conics using co-ordinate geometry.
• To study systematic ways of solving simultaneous equations.
• To introduce matrices and matrix arithmetic.
• To develop students' skills in the solution of problems in matrix algebra and co-ordinate geometry.
• To introduce the ideas of determinants, eigenvalues and eigenvectors.
• To introduce series.
• To introduce the basic techniques of calculus of functions of more than one variable, and to gain expertise in calculating partial derivatives and double integrals, and in using the Chain Rule.

## Learning outcomes

• understand 2- and 3-dimensional geometry;
• solve linear equations;
• use matrices and understand them as linear maps;
• compute determinants and understand them as scaling factors;
• compute eigenvalues and eigenvectors;
• differentiate functions of more than one variable, including use of the Chain Rule;
• evaluate double integrals.

## Teaching methods

Lectures, Problem Solving/Example Classes

44 lectures, 11 tutorials

## Assessment

2019-20 only: one Blackboard assignment to be completed within a 24-hour period from home. Pass/Fail outcome.

Usually: One formal 2 hour exam. All questions compulsory; format varies. (55 marks, worth 90%)
Five quizzes in the Problems Classes/Practicals. (10%)

## Full syllabus

1. Geometry in two and three dimensions
Coordinate systems in two and three dimensions. Lines in two dimensions, and basic properties. Spherical and cylindrical polar coordinates in three dimensions; planes and their intersections.

2. Simultaneous equations
Solving simultaneous equations in three variables. Gaussian and complete reduction. Row echelon form and reduced row echelon form. Linear independence and criteria for systems to have a unique solution.
3. Matrices
2×2 matrices as linear maps from R2R2, multiplication of matrices as the composition of maps. Specific examples of matrices like rotations. 3x3 matrices. General matrix notation, addition and multiplication of matrices, matrices as linear maps RnRm, inverse/identity matrices, isomorphisms. Elementary matrices/maps, solving systems of linear equations by Gaussian elimination, finding the inverse of a matrix using row operations.
4. Determinants
Determinants of 2x2 and 3x3 matrices. The determinant of a 2x2 matrix as an oriented area, and of a 3x3 matrix as an oriented volume. n×n determinants. The determinant of an n×n matrix, properties of the determinant like det(AB)=det(A)det(B), row operations etc.
5. Eigenvalues and eigenvectors
Eigenvalues and eigenvectors and geometric interpretation. Applications. Coupled differential equations.
6. Functions of two variables and partial differentiation
Functions f:R2R, their graphs, level sets. Intersection of graphs with planes, partial derivatives, directional derivatives and graphical interpretation. Loci of planes, spheres, cones, ellipsoids, other simple objects. Normal vectors, tangent planes. Higher partial derivatives, equality of mixed derivatives, Taylor series. Small increments. The Chain Rule and its applications, including to Laplace's equation.