Express Plane V as Kernel & Image of Matrices A & B | Homework Solution

In summary, the task is to express the plane V in R^3 with the equation 3x1+4x2+5x3=0 as the kernel of a matrix A and as the image of a matrix B. To solve this, we can find two vectors that span the given plane, using methods from third-semester calculus with analytic geometry. One vector can be the normal to the plane, and the other two can be perpendicular to the normal. This will give us the column space of the matrix, and we can use one of the columns as a linear combination of the other two to get a third column. The dimension of the null space will be 2, and the dimension of the row space will be
  • #1
Tonyt88
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Homework Statement


Express the plane V in 3 with equation 3x1+4x2+5x3=0 as the kernel of a matrix A and as the image of a matrix B.
{Note: the 1,2, and 3 after the x are subscript}

Homework Equations



The Attempt at a Solution


Would the relevant matrix just be a [3 4 5] with an image of 3?
 
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  • #2
Plane V in 3 ? Do you mean in R^3?

You have a lot of room to play with here, since there is not just one single example. Hints:
For the first part, the dimension of the null space is that of a plane (in R^3) and is of dim 2. The dimension of the row space would be 3-dim null space=1.

For the second part, I would try to find two vectors that span the given plane (remember 3rd semester calc with analytic geometry? Remember how to find the normal to a plane and how to get two linearly independent vectors perpendicular to that normal?) . That would give you the col. space of the matrix. As you need three columns, you can take one of the col.'s to be a linear combination of two others you have derived.
Good Luck
 
  • #3
Tonyt88 said:

Homework Statement


Express the plane V in 3 with equation 3x1+4x2+5x3=0 as the kernel of a matrix A and as the image of a matrix B.
{Note: the 1,2, and 3 after the x are subscript}

Homework Equations



The Attempt at a Solution


Would the relevant matrix just be a [3 4 5] with an image of 3?
Do you understand that you are asked for two matrices, A and B?
You might want to review the definitions of "kernel of a matrix" and "image of a matrix".
 

FAQ: Express Plane V as Kernel & Image of Matrices A & B | Homework Solution

What is the difference between a matrix and a kernel?

A matrix is a rectangular array of numbers, while a kernel is a subset of a matrix that is used for various mathematical operations, such as finding the null space of a matrix.

How do I find the kernel of a matrix?

To find the kernel of a matrix, you can use row reduction techniques to reduce the matrix to its reduced row echelon form. The columns that do not contain leading ones in the reduced matrix will form the basis for the kernel.

Can a matrix have multiple kernels?

No, a matrix can only have one kernel. This is because the kernel is defined as the null space of a matrix, and the null space of a matrix is unique.

What is the relationship between a matrix and its kernel?

The kernel of a matrix is closely related to its rank. The rank of a matrix is the number of linearly independent rows or columns in the matrix, and the dimension of the kernel (nullity) is equal to the number of linearly dependent rows or columns. This means that the rank of a matrix plus its nullity will always equal the number of columns in the matrix.

How is the kernel used in applications?

The kernel is used in various applications such as image and signal processing, machine learning, and computer graphics. It is used to find the null space of a matrix, which can then be used for tasks such as image reconstruction, data compression, and feature extraction.

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