Covenant University MAT122 Vector Analysis: Study Guide
Study guide for MAT122 Introduction to Vector Analysis at Covenant University: vector algebra, products, space curves, grad, div and curl, with practice.
Covenant University Updated 3 min read
At a glance
- Course code
- MAT122 (Intro. to Vector Analysis)
- Credit units
- 2 units
- Semester
- Omega semester, 100 level (Industrial Mathematics course list)
- Covers
- 3D Cartesian coordinates, vector algebra, scalar, vector and triple products, direction cosines, vector equations, calculus of vector functions, plane and space curves, Serret-Frenet formulae, grad, div and curl
- Taken with
- MAT121 Calculus (Omega semester, 100 level)
- Practice here
- Vectors and space in Calculus 3
On this page
MAT122 Intro. to Vector Analysis is the vector course in the 100 level Industrial Mathematics list at Covenant University. It is a 2-unit course in the Omega semester, taken in the same semester as MAT121 Calculus. It begins with coordinates in three dimensions and ends with the gradient, divergence and curl, so it covers material that many universities leave to a third calculus course. This guide maps each MAT122 topic to free practice.
What MAT122 covers
The department's course list describes MAT122 as starting with three-dimensional Cartesian coordinates and the definition and representation of vectors. It covers elementary vector algebra: multiplying a vector by a scalar, adding vectors, scalar and vector products, and triple vector products, along with direction cosines and solving vector equations.
The second part is the calculus of vector functions: differentiating vector functions, plane curves and space curves, the Serret-Frenet formulae, a differential definition of grad, div and curl with simple applications, and the integration of vector functions.
In a standard sequence this matches the vectors unit of Calculus 3 together with the first ideas of vector calculus.
MAT122 topic map
| MAT122 topic | Practice | Read |
|---|---|---|
| 3D Cartesian coordinates | Points and distance in space | Vectors, dot and cross product |
| Representing vectors, scalar multiples and sums | Vectors and their length | Vectors, dot and cross product |
| Scalar product and direction cosines | The dot product | Arccosine |
| Vector and triple products | The cross product | Vectors, dot and cross product |
| Solving vector equations, lines and planes | Lines in space | Linear function |
| Differentiation of vector functions | Curves and motion | Chain rule |
| Plane and space curves | Parametric curves | Arc length of parametric curves |
| Grad | The gradient and directional derivatives | Gradient and directional derivatives |
| Div and curl | Curl and divergence | Divergence theorem |
| Integration of vector functions | Vector fields | Antiderivatives |
MAT122 alongside the calculus courses
| Course | Semester | Units | Relationship |
|---|---|---|---|
| MAT121 Calculus | Omega, 100 level | 3 | Same semester; supplies the derivatives used for vector functions |
| MAT122 Intro. to Vector Analysis | Omega, 100 level | 2 | Vectors and vector calculus |
| MAT212 Mathematical Methods I | Alpha, 200 level | 3 | Partial differentiation and polar, cylindrical and spherical coordinates |
Grad, div and curl are built from partial derivatives, which MAT212 develops more fully at 200 level.
Example problems at the MAT122 level
These are original practice problems.
1. Distance and direction. From P(1, -1, 2) to Q(3, 1, 3), \overrightarrow{PQ} = (2, 2, 1) and |\overrightarrow{PQ}| = \sqrt{4 + 4 + 1} = 3. The direction cosines are \frac{2}{3}, \frac{2}{3}, \frac{1}{3}.
2. A triple product. For \mathbf{a} = (1, 1, 0), \mathbf{b} = (0, 1, 1) and \mathbf{c} = (1, 0, 1):
so \mathbf{a}\cdot(\mathbf{b}\times\mathbf{c}) = 1 + 1 + 0 = 2, and the three vectors are not coplanar.
3. Velocity on a helix. For \mathbf{r}(t) = (\cos t,\; \sin t,\; t), \mathbf{r}'(t) = (-\sin t,\; \cos t,\; 1), so the speed is \sqrt{\sin^2 t + \cos^2 t + 1} = \sqrt{2} at every point.
4. Divergence and curl. For \mathbf{F} = (xy,\; yz,\; zx), \nabla\cdot\mathbf{F} = y + z + x and
How to do well in MAT122
- Make the products automatic. Drill the cross product and check each answer by dotting it with the inputs.
- Keep MAT121 strong. Differentiating a vector function is just differentiating each component, so weak derivative rules show up quickly. The formula sheet helps.
- Learn grad, div and curl as a set. Write all three on one card and practise each on the same field so the patterns stick.
- Practise often. Use practice for mixed review and our common calculus mistakes list to catch sign errors.
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Points and distance in space
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