Exam III will be in the usual classroom on Wednesday, April 28, 2010. It
will cover sections 4.8, 6.1-6.3, and 3.1-3.3. The current draft has 52
points possible. As on any exam, it is wise to start with the problems that
you feel confident that you know how to do, before moving on to
others. Many of the questions will have rather short solutions, if you know
how to do them, so if you find yourself doing something lengthy on a
problem, it might be best to move on to other problems and come back later
to it later if you have time.
Calculators or other mechanical assistance are not needed and are not to be
used. Blank paper will be provided, so all you will need is something to
write with. Please write your solutions on the blank paper (you may have as
many sheets as you need, and may put the problems in any order). Please hand
in your exam paper along with your solutions.
Some of the exam problems will be similar to homework problems, while
others will draw upon the material presented in the lectures.
Note that the exam will not cover inner products (chapter 5) or the adjoint
matrix (section 3.4), although these will be covered on the final
exam. Exam III is roughly 30 points on coordinates, linear
transformations, kernel and range, and representations of linear
transformations, and about 20 points on determinants. You will need to be
familiar with the definition of determinant, as well as with the general
properties of the determinant function. The following topics are very
likely to appear, although the exam is not limited to these topics:
1. Coordinate vectors and transition matrices. | |
2. Linear transformations. Definition, verifying that a function is or is not a linear transformation, examples. | |
3. Kernel and range of a linear transformation. | |
4. Matrix representations of linear transformations. Be able to compute them, and understand what they say in terms of coordinates ( i. e. A v_S=(L(v))_T ). Understand how to use matrix representations to find the kernel and range of a linear transformation. | |
5. The determinant. Know and understand the defining formula. Properties of the determinant, such as det(AB)=det(A) det(B) and its relation with nonsingularity. | |
6. The effect of elementary row operations on the determinant. Applications to computing determinants. | |
7. Cofactors and expansion of the determinant using cofactors. Applications to computing determinants. |