Basis for Range of Linear transformation

In summary: I thought that was what the problem was).In summary, the problem is attaching. The problem is finding a basis for the range of the linear transformation T.
  • #1
charlies1902
162
0
The problem is attached. The problem is "find a basis for the range of the linear transformation T."



p(x) are polynomials of at most degree 3. R(T)={p''+p'+p(0) of atmost degree 2}

This is pretty much as far as I got. I'm not sure how to do the rest.


I'm thinking of picking a random function, let's say:
ax^3+bx^2+cx+d

p'(x)=3ax^2+2bx+c
p''(x)=6ax+2b

p"+p'+p(0)=(6ax+2b)+(3ax^2+2bx+c)+(d)

The book says the answer is {1, x, x^2}. Is it because in the line above, you can see that x^2, x are in there and 1 is there in the form of d?
 

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  • #2
Have you tried seeing the effect of R(T) on a basis for P3?
 
  • #3
What does the transformation due to each elmeent in the basis?
 
  • #4
Yes, I did, but I am not getting there answer.

Here is my modified procedure (ignore original post, i didn' tknow what i was doing).A basis for P3 is {1, x, x^2, x^3}

T(1)=0+0+1=1
T(x)=0+1+0
T(x^2)=2+2x+0
T(x^3)=6x+3x^2+0
This is basically
T(1)=1+0x+0x^2+0x^3
T(x)=1+0x+0x^2+0x^3
T(x^2)=2+2x+0x^2+0x^3
T(x^3)=0+6x+3x^2+0x^3
Where these coefficients represent the column for the transformation matrix:
1 1 2 0
0 0 2 6
0 0 0 3
0 0 0 0

rref of this matrix is
1 1 0 0
0 0 1 0
0 0 0 1
0 0 0 0

There's a pivot in the 1st, 3rd, and 4th column which would correspond to: 1, x^2, x^3 as the basis.How did they get 1, x, x^2?
 
  • #5
charlies1902 said:
Yes, I did, but I am not getting there answer.

Here is my modified procedure (ignore original post, i didn' tknow what i was doing).


A basis for P3 is {1, x, x^2, x^3}

T(1)=0+0+1=1
T(x)=0+1+0
T(x^2)=2+2x+0
T(x^3)=6x+3x^2+0




This is basically
T(1)=1+0x+0x^2+0x^3
T(x)=1+0x+0x^2+0x^3
T(x^2)=2+2x+0x^2+0x^3
T(x^3)=0+6x+3x^2+0x^3
Where these coefficients represent the column for the transformation matrix:
1 1 2 0
0 0 2 6
0 0 0 3
0 0 0 0

rref of this matrix is
1 1 0 0
0 0 1 0
0 0 0 1
0 0 0 0

There's a pivot in the 1st, 3rd, and 4th column which would correspond to: 1, x^2, x^3 as the basis.


How did they get 1, x, x^2?

You have:
T(x3) = 3x2 + 6x
T(x2) = 2x + 2
T(x) = 1
T(1) = 1

Every output "vector" is a linear combination of 1, x, and x2.
 
  • #6
Mark44 said:
You have:
T(x3) = 3x2 + 6x
T(x2) = 2x + 2
T(x) = 1
T(1) = 1

Every output "vector" is a linear combination of 1, x, and x2.

Yes, but why does my rref form of the matrix say it's 1, x, x^3?

The pivot columns correspond to {1, x,x^3}.Wait...I think I got this problem confused with another problem. I put the coefficients in the columns instead of rows.

So the matrix should look like this
1 1 2 0
0 0 2 6
0 0 0 3
0 0 0 0 excepted it should be transposed. Is that right?
 
Last edited:
  • #7
Notice there is no multiple of x^3 in the image of T, so your matrix should

not correspond to {1,x,x^3}..
 
  • #8
Bacle2 said:
Notice there is no multiple of x^3 in the image of T, so your matrix should

not correspond to {1,x,x^3}..
Yeah, I did my matrix wrong (did it in columns instead of rows.
 

FAQ: Basis for Range of Linear transformation

1. What is the basis for a range of linear transformation?

The basis for a range of linear transformation is the set of vectors that span the vector space in which the transformation operates. It is the set of vectors that the transformation can output, and it is a subset of the vector space's basis.

2. How is the basis for a range of linear transformation calculated?

The basis for a range of linear transformation can be calculated by finding the linearly independent vectors in the transformation's output, which forms a basis for the range. This can be done by using methods such as Gaussian elimination or finding the null space of the transformation's matrix.

3. Why is the basis for a range of linear transformation important?

The basis for a range of linear transformation is important because it helps us understand the possible outputs of the transformation and the dimension of its range. It also allows us to determine whether the transformation is onto (surjective) or not.

4. Can a linear transformation have multiple bases for its range?

Yes, a linear transformation can have multiple bases for its range. This is because there can be many different sets of linearly independent vectors that span the range of a transformation. However, all these bases will have the same number of vectors, which is equal to the dimension of the range.

5. How does the basis for a range of linear transformation relate to the null space?

The basis for a range of linear transformation and the null space are related through the dimension of the vector space. The dimension of the range plus the dimension of the null space equals the dimension of the vector space. Additionally, the basis for the null space can be found by taking the vectors in the standard basis that are not in the basis for the range.

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