How Does the Linear Operator \(\phi\) Transform Matrices to Polynomials?

Click For Summary

Homework Help Overview

The discussion revolves around a linear operator \(\phi\) that transforms \(2 \times 2\) matrices into polynomials of degree at most 2. The operator is defined using traces involving a specific matrix \(B\). Participants are tasked with finding the rank, defect, and bases for the image and kernel of this operator.

Discussion Character

  • Exploratory, Conceptual clarification, Mathematical reasoning

Approaches and Questions Raised

  • Participants inquire about how to find the matrix representation of the linear operator \(\phi\) and whether knowledge of the matrix \(A\) is necessary. Some suggest starting with the identity matrix as a basis element for exploration.

Discussion Status

Several participants are actively questioning the role of matrix \(A\) in the transformation process. There is a suggestion to explicitly compute \(\phi(A)(x)\) using a general form for \(A\). Guidance has been offered regarding the nature of the polynomial space involved.

Contextual Notes

Participants note that \(P_2\) refers to the space of polynomials with degree not larger than 2, and there is uncertainty about the necessity of a specific matrix \(A\) in the context of the problem.

gruba
Messages
203
Reaction score
1

Homework Statement


Let \phi:M_{2,2}\mathbb{(R)}\rightarrow \mathcal{P_2} be a linear operator defined as: (\phi(A))(x)=tr(AB+BA)+tr(AB-BA)x+tr(A+A^T)x^2 where
B=<br /> \begin{bmatrix}<br /> 3 &amp; -2 \\<br /> 2 &amp; -2 \\<br /> \end{bmatrix}<br />

Find rank,defect and one basis of an image and kernel of linear operator \phi.

Homework Equations


-Linear transformations

The Attempt at a Solution


Could someone explain how to find matrix of linear operator \phi?
Also, is it necessary to know the matrix A?
 
Physics news on Phys.org
Start by using A = I, the identity. The linear operator is defined by its effect on the basis elements.
 
gruba said:

Homework Statement


Let \phi:M_{2,2}\mathbb{(R)}\rightarrow \mathcal{P_2} be a linear operator defined as: (\phi(A))(x)=tr(AB+BA)+tr(AB-BA)x+tr(A+A^T)x^2 where
B=<br /> \begin{bmatrix}<br /> 3 &amp; -2 \\<br /> 2 &amp; -2 \\<br /> \end{bmatrix}<br />

Find rank,defect and one basis of an image and kernel of linear operator \phi.

Homework Equations


-Linear transformations

The Attempt at a Solution


Could someone explain how to find matrix of linear operator \phi?
Also, is it necessary to know the matrix A?

I have forgotten to mention that P_2 is a space of polynomials with degree not larger than 2.
Still, I don't understand why matrix A is not given.
 
gruba said:
I have forgotten to mention that P_2 is a space of polynomials with degree not larger than 2.
Still, I don't understand why matrix A is not given.
A can be any matrix in ##M_{2,2}##.

gruba said:

Homework Statement


Let \phi:M_{2,2}\mathbb{(R)}\rightarrow \mathcal{P_2} be a linear operator defined as: (\phi(A))(x)=tr(AB+BA)+tr(AB-BA)x+tr(A+A^T)x^2 where
B=<br /> \begin{bmatrix}<br /> 3 &amp; -2 \\<br /> 2 &amp; -2 \\<br /> \end{bmatrix}<br />
Here they tell you how the linear operator ##\phi## transforms any matrix of ##M_{2,2}## into a polynomial.

As for a tip, see what @RUber suggested.
 
Last edited:
Sorry, double posting.
 
gruba said:
I have forgotten to mention that P_2 is a space of polynomials with degree not larger than 2.
Still, I don't understand why matrix A is not given.

The matrix ##A## is not given because it can be any 2 x 2 real matrix, and the definition of ##\phi## tells you how ##A## maps into a quadratic polynomial.

One fairly straightforward approach would be to take
A = \pmatrix{a &amp; b \\ c &amp; d}
and compute the polynomial ##\phi(A)(x)## explicitly.
 

Similar threads

  • · Replies 18 ·
Replies
18
Views
3K
  • · Replies 1 ·
Replies
1
Views
2K
Replies
4
Views
2K
  • · Replies 2 ·
Replies
2
Views
2K
Replies
8
Views
2K
  • · Replies 10 ·
Replies
10
Views
2K
  • · Replies 5 ·
Replies
5
Views
2K
  • · Replies 5 ·
Replies
5
Views
2K
  • · Replies 1 ·
Replies
1
Views
3K
  • · Replies 16 ·
Replies
16
Views
2K