Find a Basis for Null(C).
Solution
Step 1) Compute rref(C).
Step 2) Write the equivalent system.
Step 3) Write the general solution using scalars for
the free variables.
the general solution is given by
Step 4) Write in vector form:
The Null Space is spanned by :
We are ready for an important result.
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d) Write out AT
. What is Rank(AT)?
c) How does the Rank(A) compare to the Dimension of
Col(A)?
b) Find a basis for Col(A).
a) Let U = rref(A). Are the columns of U linearly independent?
Is Col(U) = Col(A)? Explain.
Definition Column Space
: If A is an mxn
matrix, each column is an m-tuple of real numbers and
can be considered as a vector in Rm
. The span of these n vectors forms a subspace of Rm called the
column space of A, written Col(A)
.
III. The Column Space of a Matrix
Verify the Rank and Nullity Theorem for:
The Rank and Nullity Theorem
If A is an mxn matrix
Rank(A) + Nullity(A) = n ,
the number of columns of A.
Compute the reduced row echelon form U of A. Let rref(A)
= U
Are the row vectors of U linearly independent?
Is Row(U) = Row(A)? Explain.
(Hint: Think of each row as a single vector. A contains
5 row vectors)
What is Dim(Row(A))? (What is the Dimension of the row
space of A?)
Definition
Row Space: If A is an mxn
matrix, each row is an n-tuple of real numbers and
can be considered as a vector in R1xn
. The span of these m vectors forms a subspace of R1xn called the row space of A, written Row(A)
.
I. The Row Space and Rank of a Matrix
Goals: Know the definitions of Row Space, Column Space,
Rank and nullity of a matrix. Know the Rank and Nullity
Theorem, The Matrix Dimension Theorem.
Row Space, Column Space and Null Space
What is the nullity of C?
Definition
Nullity: The Null Space of an mxn
matrix A is the set of all n-vectors such
that Ax = 0. Null(A) or N(A) = { x e Rn
|
Ax = 0 }. The Nullity of A is the dimension of Null(A).
II. The Rank and Nullity Theorem
Change some of the elements of C. What do you observe
about Rank(C) and Rank(CT)?
Mathcad has the command word rank()
.
Find Rank(C) and Rank(CT).
Is this true or false? Explain.
Two row equivalent matrices have the same row space.
Determine Rank(B), given:
Definition
Rank: The Rank
of a matrix A is the dimension of the row space of
A:
Rank(A) = Dim(Row(A))