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Assignment Six Questions - Linear Algebra | MATH 324, Assignments of Mathematics

Material Type: Assignment; Class: LINEAR ALBEGRA; Subject: MATHEMATICS; University: La Sierra University; Term: Unknown 1989;

Typology: Assignments

Pre 2010

Uploaded on 08/16/2009

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Math 324: Assignment 6
Instructions. Exercises 1, 2, 3 are to be written and turned in on Monday, October 25.
Exercises 2(a), 4, 5, 6 and 7 are for in-class presentation.
Exercise 1. Consider the matrix
A=
1 0 2 1 5
3 1 5 0 8
1 2 0 59
Let the row-space of Abe the subspace of IR5generated by the rows of A. Let the column-space
of Abe the subspace of IR3generated by the columns of A.
(a) Find a basis for the row-space of A.
(b) Express every row in A as a linear combination of basis vectors found in (a).
(c) Find a basis for the column space of A.
(d) Express every column in A a linear combination of the basis vectors found in (c).
(e) What are the dimensions of the row-space and column space? Are they equal to each other?
Will they always be equal to each other, irrespective of the matrix?
(f) Find the null-space of LAand find a basis for the null-space of LA.
(g) For an mby nmatrix, the dimension theorem states that
n= dim(N(A)) + rank(A).
Verify that this is true for the matrix above.
Exercise 2. (a) Use matrix multiplication to show that any solution to Ax =bcan be written
as x=xp+xhwhere Axp=band Axh= 0.
(b) Verify this with the system of equations Ax =bwhere
A=
0 3 643
1 3 10 44
262028
and b=
5
2
8
Exercise 3. Do Exercise 11, p. 181.
Exercise 4. Suppose T:VWis a linear transformation, and {v1, v2, . . . , vn}is a basis for
V. Show that {T(v1), T (v2), . . . , T (vn)}generates R(T), the range of T.
pf2

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Math 324: Assignment 6

Instructions. Exercises 1, 2, 3 are to be written and turned in on Monday, October 25. Exercises 2(a), 4, 5, 6 and 7 are for in-class presentation.

Exercise 1. Consider the matrix

A =

Let the row-space of A be the subspace of IR^5 generated by the rows of A. Let the column-space of A be the subspace of IR^3 generated by the columns of A.

(a) Find a basis for the row-space of A.

(b) Express every row in A as a linear combination of basis vectors found in (a).

(c) Find a basis for the column space of A.

(d) Express every column in A a linear combination of the basis vectors found in (c).

(e) What are the dimensions of the row-space and column space? Are they equal to each other? Will they always be equal to each other, irrespective of the matrix?

(f ) Find the null-space of LA and find a basis for the null-space of LA.

(g) For an m by n matrix, the dimension theorem states that

n = dim(N (A)) + rank(A).

Verify that this is true for the matrix above.

Exercise 2. (a) Use matrix multiplication to show that any solution to Ax = b can be written as x = xp + xh where Axp = b and Axh = 0. (b) Verify this with the system of equations Ax = b where

A =

 (^) and b =

Exercise 3. Do Exercise 11, p. 181.

Exercise 4. Suppose T : V → W is a linear transformation, and {v 1 , v 2 ,... , vn} is a basis for V. Show that {T (v 1 ), T (v 2 ),... , T (vn)} generates R(T ), the range of T.

Exercise 5. Suppose A is an m by n real matrix. Prove that the columns of A generate the space R(LA) (i.e. the image of LA).

Exercise 6. Show that Ax = b has at least one solution if and only if b is a linear combination of the columns of A.

Exercise 7. Let A be an m by n matrix. How can you tell if Ax = b has infinitely many solutions? (Express your answer in terms of n, and the ranks of A and (A|b)).