Homework Assignments for Math 235 Section 4
Numbered problems are from the text: Linear Algebra with applications,
Fourth Edition, by Otto Bretscher, Pearson Prentice Hall 2009.
Starred problems are challenge problems
- Assignment 1
Due Monday, February 2.
- Section 1.1 page 5: 1, 3, 7, 12, 14, 18, 20, 25, 28, 29, 31
- Section 1.2 page 18: 5, 10, 18, 22, 24, 37
- Assignment 2
Due Friday, February 6.
- Section 1.3 page 33: 1, 4, 6, 8, 10, 18, 24, 34, 36, 47, 55
- Assignment 3
Due Friday, February 13.
- Section 2.1 page 50: 4, 6, 10, 12, *13, 16, 19, 22,
34, 36, 37, 42, 47
- Section 2.2 page 65: 1, 2.
- Assignment 4
Due Friday, February 20.
- Section 2.2 page 65: 4, 6, 7, 10, 11, 13, 14, 15
(see Example 3),
16, 25, 32, 37, 40, 43
- Note that problems 14, 15 above were added on
Wednessday afternoon, as promised in class.
- Assignment 5
Due Friday, February 27.
(Note that these exercises in sections 2.3 and 2.4 are different from those in
older edditions of the text)
- Section 2.3 page 77:
2, 4, 6, 14, 17, 18, 20, 29, 30, 38, 41, 50 (Should be CG and GC), 66
- Section 2.4 page 88: 21, 22, 23, 25, 26
- Section 2.4 page 88: (added on Wed)
1, 2, 6, 16, 20, 34, 36, 41
- Assignment 6
Due Friday, March 6.
- Section 2.4 page 88: 80, 81, 104
Hint for problem 80 in section 2.4:
The line from P_1 to P_3 should be dotted in the figure, being in the back.
Note that the plane through P_0, P_1, P_3 is orthogonal to the line
spanned by P_2, since P_1-P_0 is orthogonal to P_2 and P_3-P_0 is
orthogonal to P_2. Furthermore, the line spanned by P_2 intersects this plane
at the center (P_0+P_1+P_3)/3=-(1/3)P_2 of the triangle with vertices
P_0, P_1, P_3. Finally, the latter triangle has edges of equal length.
Hence the rotation about its center permutes its vertices cyclically.
Thus, T permutes the set of vectors P_0, P_1, P_3 cyclically.
- Section 3.1 page 110: 2, 4, 5, 10, 16, 20, 24, 32, 38, 40, 48
- Section 3.2 page 121: 2, 4, 6
- Assignment 7
Due Friday, March 13.
- Section 3.2 page 121: 10, 18, 19, 24, 32, 34, 46, 53, 54
- Section 3.3 page 133: 2, 3, 9, 18, 22, 26, 28, 38,
40, 42, 43, 67*, 73, 76*, 80, 81
(starred problems are challenge problems).
- Assignment 8
Due Friday, March 27.
- Section 3.4 page 146: 2, 6, 8, 17.
20, 26, 29, 33, 35, 37, 40, 41, 43, 46*, 55, 57, 69, 60
(Hint: use the idea of 69), 71
-
Carfully JUSTIFY all your answers to all homework problems.
Hint for problems 33 and 35: Assume only that v_1, v_2, v_3 are three unit
vectors that are pairwise orthogonal
(i.e., v_i dot v_j is zero, if i is different from j).
You do not need to use vector product here. It follows that
{v_1, v_2, v_3} is a basis for R^3 (you may assume this).
- Assignment 9
Due Friday, April 3.
- Section 4.1 page 162: 1 to 6, 10, 16, 18, 20, 25, 27, 36, 47, 48, 50, 55
- Assignment 10
Due Monday, April 13.
- Section 4.2 page 170: 1 to 6, 10, 14, 22, 23, 26, 27, 30, 51, 52, 53,
43,57 (find also a basis for the kernel), 60, 64, 65*, 66,
-
Check that xe^{-x} belongs to the kernel of the linear transformation in
excercise 40 page 171. Use it and Theorem 4.1.7 to find a
basis for the kernel of the linear transformation.
Carefully justify why the solutions you found are linearly independent,
and why they span the kernel.
- Assignment 11
Due Friday, April 17.
- Section 6.1 page 259: 1, 2, 5, 10, 12, 16, 26, 28, 32,
36, 45, 46, 48, 56
- Assignment 12
Due Friday, April 24.
- Section 6.2 page 273: 1, 5, 12, 15, 16, 30, *31,
37 (justify all your answers!!!), 38, 46
- Let V be an n-dimensional vector space with basis
{v_1, ..., v_n}, [ ]:V -> R^n the coordinate linear transformation,
and S:R^n->V its inverse, given by S(c_1, ... c_n)=c_1v_1+ ... +c_nv_n.
Let T:V->V be a linear transformation. We get the composite
linear transformation
from R^n to R^n, mapping a vector x to [T(S(x))],
i.e., to the coordinate vector in R^n of the vector T(S(x)) in V.
Being linear, the above transformation is given by multiplication by a square
n by n matrix B, i.e., [T(S(x))]=Bx, for all x in R^n.
The matrix B is called the matrix of T in the given basis (section 4.3).
Its i-th column, by definition, is b_i=Be_i=[T(S(e_i))]=[T(v_i)].
Thus, the i-th column of B is the coordinate vector of T(v_i).
The determinant det(T) is defined to be det(B) (Def 6.2.11).
Use the equation b_i=[T(v_i)] and the standard basis {1, x, x^2} of P_2
and the standard basis of R^{2 x 2}
to solve the following problems in section 6.2 page 273:
17, 20
- Section 6.3 page 273: 1, 2, 3 (translate the triangle
first so that one of its vertices is the origin),
4, 7, 11,
Let A be a 3 by 3 matrix, with det(A)=7, u, v, w three vectors in R^3,
such that the parallelopiped determined by them (i.e., the one
with vertices 0, u, v, w, u+v, u+w, v+w, u+v+w)
has volume 5 units. Find the volume of the parallelopiped determined by
Au, Av, Aw. Carefully justify your answer!
- Assignment 13
Due Friday, May 1.
- Section 7.1 page 305:
1-6, 9, 10, 12, 15 (see Definition 2.2.2 in section 2.2),
Find the matrix of the reflection A of the plane about the line x=y.
Find all eigenvalues and eigenvectors of A and a basis of R^2
consisting of eigenvectors of A. Find the matrix of A with respect
to the basis you found.
16, 19, 38
- Section 7.2 page 317:
1-4 (see Definition 7.2.6 for the algebraic multiplicity),
8, 12, 14, 15, 17, 19 (see Fact 7.2.8),
22 (use Theorem 6.2.1 to write a careful justification), 25, 27, 28*, 29, 33
-
Extra Problem (will be graded)
- Assignment 14
Due Friday, May 8.
- Section 7.3 page 327: 1, 2, 7, 8, 9, 10, 12, 13, 16, 19, 21, 22,
24 (Hint: Theorem 7.3.6 part c suggests that we choose a matrix similar
to the one in problem 23), 27,
28 (see Definitions 7.2.6 and 7.3.2), 36
- Section 7.4 page 340: 1, 2, 5, 11, 12, 13, 16, 22, 25, 27,
47, 52
-
Extra Problem on diagonalization: (Highly Recommended!!!)
- Assignment 15
Due Monday, May 11.
- Section 5.1 page 199: 2,15,16,22,26,29
- Assignment 16
Due Monday, May 18 (Day of the final. Not to be handed in,
but material is covered in the final exam).
- Section 5.2 page 208: 1, 2, 3, 4, 13, 32, 33
- Let W be the plane spanned by the two vectors in
question 5 page 208.
- Find the projection of the vector b=(9,0,9) to W. Note: you
will need to first find an orthogonal basis for W. Answer: .5(9, 9, 18)
- Find the distance from b to W.
Answer: 4.5 times (square root of 2).