How are the column space and the row space of a matrix A
related
to the column space and row space of its reduced row echelon
form?
How does this prove the column rank of A equals the row rank?
A m*n matrix A. P is the dimension of null space of A. What are
the number of solutions to Ax=b in these cases. Prove your
answer.
a. m=6, n=8, p=2
b. m=6, n=10, p=5
c. m=8, n=6, p=0
Let A be an m x n matrix and b and x be vectors such that
Ab=x.
a) What vector space is x in?
b) What vector space is b in?
c) Show that x is a linear combination of the columns of A.
d) Let x' be a linear combination of the columns of A. Show that
there is a vector b' so that Ab' = x'.
If X is any topological space, a subset A ⊆ X is compact (in the
subspace topology) if and only if every cover of A by open subsets
of X has a finite subcover.
Suppose C is a m × n matrix and A is a n × m matrix. Assume CA =
Im (Im is the m × m identity matrix). Consider the n × m system Ax
= b.
1. Show that if this system is consistent then the solution is
unique.
2. If C = [0 ?5 1
3 0 ?1]
and A = [2 ?3
1 ?2
6 10] ,,
find x (if it exists) when
(a) b =[1...
For the given matrix B=
1
1
1
3
2
-2
4
3
-1
6
5
1
a.) Find a basis for the row space of matrix B.
b.) Find a basis for the column space of matrix B.
c.)Find a basis for the null space of matrix B.
d.) Find the rank and nullity of the matrix B.
Describe various spaces associated with an m × n matrix A, such
as null space, row space. column space and eigenspace. What are the
relationships among them? How does the concept of a linear
transformation and its properties relate to matrices and those
spaces of the matrices?
For the following matrices, first find a basis for the column
space of the matrix. Then use the Gram-Schmidt process to find an
orthogonal basis for the column space. Finally, scale the vectors
of the orthogonal basis to find an orthonormal basis for the column
space.
(a) [1 1 1, 1 0 2, 3 1 0, 0 0 4 ] b) [?1 6 6, 3 ?8 3, 1 ?2 6, 1
?4 ?3 ]
Problem 4: Suppose M is a random matrix, and x is a
deterministic (fixed) column vector. Show that E[x' M x] = x' E[M]
x, where x' denotes the transpose of x.