Basis for row and column space

In summary, the basis for the row space of A is the set of all non-zero rows in A, as long as they satisfy the conditions of being elements of RS(A), spanning RS(A), and being linearly independent. The dimension of RS(A) is equal to the number of elements in this basis set.
  • #1
FourierX
73
0

Homework Statement



Can anyone help me figure out basis for RS(A) and basis for CS (A) along with their dimension?
I mean dim CS(A) and dim RS(A)

where A is
[1 -2 4 1]
[0 7 -15 -4]
[0 0 0 0]


Homework Equations





The Attempt at a Solution



are all non zero rows the basis for RS (A)?
 
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  • #2
FourierX said:
are all non zero rows the basis for RS (A)?
You tell me? To be a basis, you need three things:
1. Each of the nonzero rows are elements of RS(A)
2. The nonzero rows span RS(A)
3. The nonzero rows are linearly independent.
(Right? This should be familiar...)

Are all of these conditions satisfied?
 
  • #3
yeah, right. so the dimension of the RS(A) is the number of elements of it, correct?
 
  • #4
What does "RS" mean?
 
  • #5
row space
 

Related to Basis for row and column space

What is the basis for row space?

The basis for row space is the set of linearly independent rows in a matrix. These rows span the entire row space and can be used to represent all other rows in the matrix through linear combinations.

What is the basis for column space?

The basis for column space is the set of linearly independent columns in a matrix. These columns span the entire column space and can be used to represent all other columns in the matrix through linear combinations.

How is the basis for row space determined?

The basis for row space is determined by finding the pivot columns in the matrix. These pivot columns correspond to the linearly independent rows and form the basis for the row space.

How is the basis for column space determined?

The basis for column space is determined by finding the pivot columns in the matrix. These pivot columns correspond to the linearly independent columns and form the basis for the column space.

Why is the basis for row and column space important?

The basis for row and column space is important because it allows us to represent a matrix in a more concise and efficient way. It also helps us understand the relationships between the rows and columns of a matrix and can be used in various applications such as solving systems of equations and finding eigenvalues and eigenvectors.

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