Linear Transformation T: P2 to P3 & Matrix Representation

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SUMMARY

The discussion focuses on the linear transformation T: P2 > P3 defined by T(p(x)) = xp(x), where P2 and P3 are polynomial spaces. Participants successfully demonstrated that T is a linear transformation and derived its matrix representation with respect to the standard bases {1, x, x²} for P2 and {1, x, x², x³} for P3. The resulting matrix is A = [0 0 0; 1 0 0; 0 1 0; 0 0 1]. Additionally, they explored a similar transformation T: P1 > P2 and calculated its matrix representation, confirming that understanding the mapping of basis vectors is crucial for deriving these matrices.

PREREQUISITES
  • Understanding of polynomial spaces P2 and P3
  • Knowledge of linear transformations and their properties
  • Familiarity with matrix representation of linear transformations
  • Ability to work with standard bases in vector spaces
NEXT STEPS
  • Study the properties of linear transformations in depth
  • Learn about matrix representation of transformations between different polynomial spaces
  • Explore the concept of change of basis in linear algebra
  • Practice deriving matrix representations for various linear transformations
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Students studying linear algebra, particularly those focusing on polynomial transformations, as well as educators and tutors looking to enhance their understanding of linear mappings and matrix representations.

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Homework Statement



Let T: P2 > P3 denote the function defined by multiplication by x :T(p(x)) = xp(x). In other words, T(a+bx+cx2) = ax+bx2+cx3

(a) Show that T is a linear transformation.
(b) Find the matrix of T with respect to the standard bases {1,x,x2} for P2 and {1,x,x2,x3} for P3

Homework Equations





The Attempt at a Solution



I managed to prove that T is a linear transformation. With B, I have completely no idea how to go about, i checked my books but the examples given are not relevant. Please help.
 
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Figure out where the standard basis vectors map. 1 in P2 is (1,0,0) in the given basis. That maps to x in P3, which is (0,1,0,0). Continue this for all of basis vectors in P2, scratch your head and figure out how to write a matrix which does the same thing. THINK about it.
 
Dick said:
1 in P2 is (1,0,0) in the given basis. That maps to x in P3, which is (0,1,0,0).

I don't really understand this part, how does 1 in p2 maps to x in p3 ?
 
T(p(x))=x*p(x). So if p(x)=1, then T(1)=x*1=x. 1 in P2 maps to x in P3.
 
Oh, so

p(x) = x , x in p2 will map it to x2 in p3? - (0,0,1,0)
p(x) = x2, X2 in p2 will map it to x3 in p3 - (0,0,0,1)

So that gives me

A = [0 0 0;
1 0 0
0 1 0;
0 0 1] ?

But is there a faster way to do this? I came across this equation while looking for extra info online, [T(u)]C=AB . Will that simplify the method?
 
That's exactly right. What was "not faster" about the way you already did it? Once you understood the problem you solved it in two minutes. Why complicate it?
 
Using that method, i tried solving this question but to no avail :

Find the matrix representation of T:P1 > P2 with respect to bases B = {1,x} and C {1,x,x2} where

T(p) = (x+2)p for p\inP1

p = a0 + a1x

T(1) = (x+2)
T(x) = (x2+2x)

and I don't know how to map that to P2
 
1 in P2 is (1,0). (x+2) in P2 is (2,1,0). PLEASE say you knew that. What is x in P1 and what is (x^2+2x) in P2? Now write down a 2x3 matrix and start filling in the columns. Your best tool is actually thinking about the problem. There is no magic formula.
 
I am such a douche + a slow learner =/ Yeah, i get it (x+2) in P2 is (2,1,0) (it is just the same thing like the previous example! careless me) x in p1 is just (0,1) so (x^2+2x) in P2 will be (0,2,1). So the matrix will be A = (2,1,0 ; 0,2,1)

So a different basis will still be the same. Say B = {1,x-2} and C = {2,x,x^2} for P1 and P2 respectively.

T(1) = (x+2)
T(x-2)= (x^2-4)

1 in P1 will be (1,0) , and will map to (1,1,0) in P2

(x-2) in P2 will be (0,1) and will map to (-2,0,1) in P2

Yeap, eureka, i think i got it. Also, do you think these steps will be sufficient to answer exams questions? Or do I need a more rigid method/calculations ?
 
  • #10
You are doing exactly what you are supposed to do. Compute the product, figure out the components in the given bases and deduce the matrix.
 

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