Math 308 Review 3

 

The final will cover all the topics of this quarter from Chapters 1, 2, 3, 4, 6 and 8. Below is a review of the topics after the second midterm, so Sections 8.1, 8.2 and 8.5.

 

Terminology

Dot product, orthogonal vectors, orthogonal sets, a vector orthogonal to a subspace, orthogonal complement of a subspace, orthogonal subspaces, orthogonal basis, orthonormal basis, norm, distance between vectors, projection of a vector onto a vector, projection of a vector onto a subspace, Gram-Schmidt, least squares regression, normal equations for Ax=y.

 

Operations

1.    Taking the dot product of two vectors.

2.    Finding the norm (length) of a vector.

3.    Projecting one vector onto another.

 

Applications

1.    Checking if two vectors are orthogonal and checking if a vector is orthogonal to a subspace using its spanning set or basis.

2.    Given a basis for a subspace, finding an orthogonal basis for the same subspace: Gram-Schmidt process.

3.    Projecting a vector onto a subspace (requires an orthogonal basis for the subspace)

4.    Finding the least squares solution to Ax=y using Ax=z where z is the projection of y onto the column space of A.

5.    Finding the least squares solution to Ax=y using the normal equations.

 

Theory Review

When you answer the true/false questions in the book, make sure you can justify your answer. If you answer true, explain by finding the relative theorem in the book. If you answer false, come up with a counter example. With projection questions, it may help to sketch pictures. No matter which space they live in, two independent vectors span a plane (the paper), three independent vectors span a space (use some perspective on the paper to give it a 3D look).

 

More questions

1. The textbook has a lot of questions with the answers to the odd numbered ones at the back.

 

2. Kristen DeVleming’s exam archive

http://www.math.washington.edu/~kdev/teaching/308exams/

 

3. You can also look at some of the questions from Linear Algebra Done Wrong. Specifically,

p. 128, Exercises 2.1 and 2.2. (The range is the column space)

p.134, Exercises 3.1, 3.5, 3.7

p. 141, Exercise 4.4.