Finding a matrix with respect to standard basis

Click For Summary

Homework Help Overview

The discussion revolves around finding a matrix representation of a linear transformation with respect to a standard basis, specifically involving polynomials. The original poster seeks guidance on how to approach the problem of determining the matrix associated with a transformation applied to polynomial functions.

Discussion Character

  • Exploratory, Conceptual clarification, Mathematical reasoning

Approaches and Questions Raised

  • Participants discuss applying the transformation to basis vectors and consider how the resulting vectors relate to the standard polynomial. Questions arise regarding the calculation of eigenvalues and the transformation of polynomial coordinates.

Discussion Status

The conversation has progressed with some participants confirming the correctness of the matrix representation derived by the original poster. Additional questions about eigenvalues and the transformation of polynomial coordinates have been introduced, indicating an ongoing exploration of the topic.

Contextual Notes

There is mention of specific parts of the problem that require further exploration, including the determination of eigenvalues and the formulation of the transformation without justification. The participants are navigating through the implications of these tasks.

Hiche
Messages
82
Reaction score
0

Homework Statement



jzzfnp.png


Homework Equations



...

The Attempt at a Solution



Can someone just point me how to approach this? Do we take a random second degree polynomial and input 2x + 3 instead of x, then find the constants (eg. denoted by a , b , c) by putting the new equation equal to the standard polynomial 1 + x + x^2?
 
Physics news on Phys.org
A good start would be to apply ##T## to the basis vectors ##1, x, x^2##. What do you know about ##[T]_B##? In particular, what are its columns?
 
Oh, thank you. This is what I came up with so far:

T(1) = 1 so (T(1))_B = \begin{pmatrix}1\\0\\0\end{pmatrix}
T(x) = 2x + 3 so (T(x))_B = \begin{pmatrix}3\\2\\0\end{pmatrix}
T(x^2) = 4x^2 + 12x + 9 so (T(x^2))_B = \begin{pmatrix}9\\12\\4\end{pmatrix}

So, A = [T]_B = \begin{pmatrix}1 & 3 & 9\\0 & 2 & 12\\0 & 0 & 4\end{pmatrix}. Is this close?
 
Better than close- that's exactly what I get.
 
Great! Now may I add a couple more questions to this?

Part b) asks to find the eigenvalues of A. The values I found were \lambda_1 = 1, \lambda_2 = 2, \lambda_3 = 4.

Part c) asked to find the formula of [T(p(x))]_B without justification. I am not sure how to handle this question.
 
Hiche said:
Great! Now may I add a couple more questions to this?

Part b) asks to find the eigenvalues of A. The values I found were \lambda_1 = 1, \lambda_2 = 2, \lambda_3 = 4.

Part c) asked to find the formula of [T(p(x))]_B without justification. I am not sure how to handle this question.

The eigenvalues look fine.

What are the B-coordinates of a polynomial ##p(x) = ax^2 + bx +c##? How does the matrix ##[T]_B## transform those coordinates?
 

Similar threads

  • · Replies 14 ·
Replies
14
Views
3K
  • · Replies 4 ·
Replies
4
Views
2K
  • · Replies 2 ·
Replies
2
Views
1K
  • · Replies 6 ·
Replies
6
Views
4K
  • · Replies 5 ·
Replies
5
Views
2K
  • · Replies 10 ·
Replies
10
Views
2K
  • · Replies 5 ·
Replies
5
Views
2K
Replies
7
Views
2K
  • · Replies 4 ·
Replies
4
Views
2K
  • · Replies 22 ·
Replies
22
Views
3K