Linear Algebra Help: Nullspace & Rangespace Basis | f: P3 → M2x2

In summary: N(h)= {a+bx+cx^2+dx^3/ a+d=0 & b-c=0} is correct for the nullspace. You could also write that as a*(1-x^3)+b*(x+x^2) for any a and b. It's not [[0,b],[c,0]]. That part is wrong. The nullspace is a set of polynomials, not a set of matrices. Let's start with that.
  • #1
andyk23
26
0
Let f : P3 → M2x2 be given by f(a + bx + cx^2 + dx^3) =
(a + d 0)
(0 b − c)

1. Determine the nullspace and nullity of f and specify a basis for the nullspace.
-I came up with N(h)= {a+bx+cx^2+dx^3/ a+d=0 & b-c=0}=
={( 0 b), a,d are elements of R}
( c 0)
2. Determine the rangespace and rank of f and specify a basis for the rangespace.
-R(h)= ( a+d 0) are elements of matrix 2x2/ a,b are elements of R}
( 0 b-c)
3. Is f one-to-one? Is f onto? Why or why not?
-f is not one to one because the vectors share partners in the m2x2. f is onto because it spans from the same dimensions.

If someone could show some guidance it would be appreciated. I don't think I have the range space and null space correct.
 
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  • #2
N(h)= {a+bx+cx^2+dx^3/ a+d=0 & b-c=0} is correct for the nullspace. You could also write that as a*(1-x^3)+b*(x+x^2) for any a and b. It's not [[0,b],[c,0]]. That part is wrong. The nullspace is a set of polynomials, not a set of matrices. Let's start with that.
 
  • #3
andyk23 said:
Let f : P3 → M2x2 be given by f(a + bx + cx^2 + dx^3) =
(a + d 0)
(0 b − c)

1. Determine the nullspace and nullity of f and specify a basis for the nullspace.
-I came up with N(h)= {a+bx+cx^2+dx^3/ a+d=0 & b-c=0}=
This is correct.
={( 0 b), a,d are elements of R}
( c 0)
This is not. A set of polynomials is not a set of matrices!
But it would be better to write the answer as N(h)= {a+ bx+ bx^2- ax^3}= {a(1- x^3)+ b(x+ x^2)}.
Also, you haven't said what the nullity is.

2. Determine the rangespace and rank of f and specify a basis for the rangespace.
-R(h)= ( a+d 0) are elements of matrix 2x2/ a,b are elements of R}
( 0 b-c)
All you have done is copy the definition of the transformation. You haven't specified a basis or the dimension. Start by noting that
[tex]\begin{bmatrix}a+ d & 0\\ 0 & b- c\end{bmatrix}= a\begin{bmatrix}1 & 0 \\ 0 & 0\end{bmatrix}+ b\begin{bmatrix}0 & 0 \\ 0 & 1\end{bmatrix}+ c\begin{bmatrix}0 & 0 \\ 0 & -1\end{bmatrix}+ d\begin{bmatrix}1 & 0\\ 0 & 0\end{bmatrix}[/tex]
How many independent matrices are used there?

3. Is f one-to-one? Is f onto? Why or why not?
-f is not one to one because the vectors share partners in the m2x2. f is onto because it spans from the same dimensions.
What vectors are you talking about? And what do you mean by "share partners". Actually, it is sufficient to observe that the nullity is not 0. Finally, the set of cubic polynomials and the set of 2 by 2 matrices both have dimension 4. If the transformation is not one to one, it can't be "onto".

If someone could show some guidance it would be appreciated. I don't think I have the range space and null space correct.
 

FAQ: Linear Algebra Help: Nullspace & Rangespace Basis | f: P3 → M2x2

What is the nullspace of a linear transformation?

The nullspace of a linear transformation, denoted as Null(T), is the set of all vectors in the domain of the transformation that get mapped to the zero vector in the codomain.

How is the nullspace related to the range of a linear transformation?

The nullspace and the range of a linear transformation are complementary subspaces. This means that every vector in the nullspace is orthogonal to every vector in the range, and vice versa.

What is the basis of a nullspace?

The basis of a nullspace is the set of linearly independent vectors that span the nullspace. These vectors are known as the nullspace basis and are essential for understanding the structure of the nullspace.

How do you find the basis of a nullspace?

To find the basis of a nullspace, you can solve the system of linear equations represented by the transformation's matrix. The free variables in the solution will correspond to the nullspace basis vectors.

How can understanding nullspace and rangespace help in solving linear algebra problems?

Understanding nullspace and rangespace can provide insight into the structure and properties of a linear transformation. This knowledge can be used to solve problems such as finding solutions to systems of linear equations, determining if a transformation is onto or one-to-one, and finding the rank of a matrix.

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