Linear Algebra - Standard Matrix of T

Click For Summary
SUMMARY

The discussion focuses on finding the standard matrix for the linear transformation T: ℝ² → P², where T is defined by T [1 1] = 1 - 2x and T [3 -1] = x + 2x². The associated matrix A_T is a 3x2 matrix, which cannot be inverted. Participants emphasize expressing vectors as linear combinations of known vectors and using the linearity of the transformation to derive T for other vectors, such as T [-7 9] and T [a b]. The conversation highlights the importance of understanding the basis of the polynomial space P² and the implications of underdetermined systems in linear transformations.

PREREQUISITES
  • Understanding of linear transformations and their properties
  • Familiarity with polynomial spaces, specifically P²
  • Knowledge of matrix representation of linear mappings
  • Ability to express vectors as linear combinations
NEXT STEPS
  • Study the properties of linear transformations in vector spaces
  • Learn how to derive the standard matrix for linear transformations
  • Explore the concept of polynomial spaces and their dimensions
  • Practice expressing vectors in terms of different bases
USEFUL FOR

Students and educators in linear algebra, mathematicians working with transformations, and anyone interested in the applications of linear mappings in polynomial spaces.

SetepenSeth
Messages
16
Reaction score
0

Homework Statement



Let T: ℝ² → a linear transformation with usual operations such as

T [1 1] = 1 - 2x and
T [3 -1]= x+2x²

Find T [-7 9] and T [a b]

**Though I'm writing them here as 1x 2 row vectors , all T's are actually 2x1 column vectors (I didn't see a way to give them proper format)**

Homework Equations


[/B]
T(x)= Ax

Ax=b

The Attempt at a Solution


[/B]
Finding the transformation for the required vectors is not an issue, as long as I have the associated standard matrix, however my approaches to find this matrix have not come out successful.

Since the transformation goes ℝ² → it is my understanding that the associated matrix is 3x2 so using the inverse or the transformations of the canonical vectors T(ei) don't seem to help much (or I am failing to see how to properly apply them). The other option it is that this is a linear transformation that is not matricial, in which case I'm uncertain on how to approach it.

Any advise would be appreciated.
 
Physics news on Phys.org
Try writing the quantities you are interested in in terms of linear combinations of the quantities that you have been given.
 
SetepenSeth said:

Homework Statement



Let T: ℝ² → a linear transformation with usual operations such as

T [1 1] = 1 - 2x and
T [3 -1]= x+2x²

Find T [-7 9] and T [a b]

**Though I'm writing them here as 1x 2 row vectors , all T's are actually 2x1 column vectors (I didn't see a way to give them proper format)**

Homework Equations


[/B]
T(x)= Ax

Ax=b

The Attempt at a Solution


[/B]
Finding the transformation for the required vectors is not an issue, as long as I have the associated standard matrix, however my approaches to find this matrix have not come out successful.

Since the transformation goes ℝ² → it is my understanding that the associated matrix is 3x2 so using the inverse or the transformations of the canonical vectors T(ei) don't seem to help much (or I am failing to see how to properly apply them). The other option it is that this is a linear transformation that is not matricial, in which case I'm uncertain on how to approach it.

Any advise would be appreciated.
I'm not really sure if I understood you correctly. First for the easy part, you can have a look here on how to use LaTex code to write vectors and matrices. As you've observed ##\mathbb{R}^2## is two dimensional and ##P^2## three dimensional which makes any matrix representations of linear mappings ##T \, : \,\mathbb{R}^2 \longrightarrow P^2## a ##3 \times 2## matrix which can't be inverted. In order to find a matrix ##A_T## for ##T## we have to find six numbers ##A_T = \begin{bmatrix}x_{00} & x_{01} \\ x_{10} & x_{11} \\ x_{20} & x_{21} \end{bmatrix}## which are arbitrary as long as we do not require any conditions on them. This is the basis of the next considerations and what you have correctly said as well.

Then you know some vectors ##\vec{a} = \begin{bmatrix}a_0 \\ a_1\end{bmatrix} \in \mathbb{R}^2## for which you know what ##T(\vec{a})## is, say according to a basis ##\{1,x,x^2\} \subset P^2##. This means you know ##T(\vec{a}) = \vec{b} = b_0 \cdot 1 + b_1 \cdot x + b_2 \cdot x^2##.
If nothing else is told ##\vec{a} = a_0 \cdot \begin{bmatrix} 1 \\ 0 \end{bmatrix}+a_1 \cdot \begin{bmatrix}0 \\ 1 \end{bmatrix}##.

So now you can simply multiply ##A_T \cdot \vec{a} = \vec{b}## which gives you a system of three linear equations in six variables. In the examples above this is underdeterminated, which depends on how many equations ##T(\vec{a}) = \vec{b}## you have.

As I wasn't really able to follow you, I'm uncertain if this answers your question. And I don't know what "matricial" means. In the end all depends on how ##T## is defined. It can be an embedding (injective), ##T=0## is a possibility, and ##\operatorname{dim} \operatorname{im} T = 1## is a (the) third option.
 
SetepenSeth said:

Homework Statement



Let T: ℝ² → a linear transformation with usual operations such as

T [1 1] = 1 - 2x and
T [3 -1]= x+2x²

Find T [-7 9] and T [a b]

**Though I'm writing them here as 1x 2 row vectors , all T's are actually 2x1 column vectors (I didn't see a way to give them proper format)**

Homework Equations


[/B]
T(x)= Ax

Ax=b

The Attempt at a Solution


[/B]
Finding the transformation for the required vectors is not an issue, as long as I have the associated standard matrix, however my approaches to find this matrix have not come out successful.

Since the transformation goes ℝ² → it is my understanding that the associated matrix is 3x2 so using the inverse or the transformations of the canonical vectors T(ei) don't seem to help much (or I am failing to see how to properly apply them). The other option it is that this is a linear transformation that is not matricial, in which case I'm uncertain on how to approach it.

Any advise would be appreciated.

By linearity of the map, if {(a,b),(c,d)} is a basis, then ## (e,f)=k_1(a,b)+k_2(c,d) ## then ##T(e,f)=T(k_1(a,b))+ T(k_2(c,d)) ##

For the other part, do what Orodruin suggested: express T(v) as a linear combination in terms of basis vectors in ## P_2 ##. Notice how nice and conveninet are the "natural" bases ##e_1=(1,0), e_2=(0,1) ## and their equivalents in higher dmension.
 
fresh_42 said:
I'm not really sure if I understood you correctly. First for the easy part, you can have a look here on how to use LaTex code to write vectors and matrices. As you've observed ##\mathbb{R}^2## is two dimensional and ##P^2## three dimensional which makes any matrix representations of linear mappings ##T \, : \,\mathbb{R}^2 \longrightarrow P^2## a ##3 \times 2## matrix which can't be inverted. In order to find a matrix ##A_T## for ##T## we have to find six numbers ##A_T = \begin{bmatrix}x_{00} & x_{01} \\ x_{10} & x_{11} \\ x_{20} & x_{21} \end{bmatrix}## which are arbitrary as long as we do not require any conditions on them. This is the basis of the next considerations and what you have correctly said as well.

Then you know some vectors ##\vec{a} = \begin{bmatrix}a_0 \\ a_1\end{bmatrix} \in \mathbb{R}^2## for which you know what ##T(\vec{a})## is, say according to a basis ##\{1,x,x^2\} \subset P^2##. This means you know ##T(\vec{a}) = \vec{b} = b_0 \cdot 1 + b_1 \cdot x + b_2 \cdot x^2##.
If nothing else is told ##\vec{a} = a_0 \cdot \begin{bmatrix} 1 \\ 0 \end{bmatrix}+a_1 \cdot \begin{bmatrix}0 \\ 1 \end{bmatrix}##.

So now you can simply multiply ##A_T \cdot \vec{a} = \vec{b}## which gives you a system of three linear equations in six variables. In the examples above this is underdeterminated, which depends on how many equations ##T(\vec{a}) = \vec{b}## you have.

As I wasn't really able to follow you, I'm uncertain if this answers your question. And I don't know what "matricial" means. In the end all depends on how ##T## is defined. It can be an embedding (injective), ##T=0## is a possibility, and ##\operatorname{dim} \operatorname{im} T = 1## is a (the) third option.

Thanks for the advise. I didn't know how to use LaTeX (how do you pronounce it? though).

I get to the part where I have 6 variables to express, however I'm still uncertain on how do I go into finding this variables if I only have two ##T(\vec{a}) = \vec{b}## to work with, I'm pretty sure this would have come out just painless with just one more ##T## to work with.

By the way, "linear transformation that is not matricial" I meant a transformation that is not a matrix transformation (bad habit of mixing languages, sorry).
 
SetepenSeth said:

Homework Statement



Let T: ℝ² → a linear transformation with usual operations such as

T [1 1] = 1 - 2x and
T [3 -1]= x+2x²

Find T [-7 9] and T [a b]

**Though I'm writing them here as 1x 2 row vectors , all T's are actually 2x1 column vectors (I didn't see a way to give them proper format)**

Homework Equations


[/B]
T(x)= Ax

Ax=b

The Attempt at a Solution


[/B]
Finding the transformation for the required vectors is not an issue, as long as I have the associated standard matrix, however my approaches to find this matrix have not come out successful.

Since the transformation goes ℝ² → it is my understanding that the associated matrix is 3x2 so using the inverse or the transformations of the canonical vectors T(ei) don't seem to help much (or I am failing to see how to properly apply them). The other option it is that this is a linear transformation that is not matricial, in which case I'm uncertain on how to approach it.

Any advise would be appreciated.

It does not matter whether you write vectors as row or column vectors, as long as you don't bother using matrices (which only get in the way in this problem). Just find out how to write e1 = [1 0] and e2 = [0 1] as linear combinations of v1 = [1 1] and v2 = [3 -1] (a very easy task).

So, if e1 = a1 v1 + a2 v2 and e2 = b1 v1 + b2 v2, then you can get T(e1) as a1 T(v1) + a2 T(v2), etc. Then write [-7 9] in terms of e1 and e2, etc, and apply linearity of T.

It is all elementary, and no matrices need be involved at all. As I said, matrices just get in the way.
 
Question: A clock's minute hand has length 4 and its hour hand has length 3. What is the distance between the tips at the moment when it is increasing most rapidly?(Putnam Exam Question) Answer: Making assumption that both the hands moves at constant angular velocities, the answer is ## \sqrt{7} .## But don't you think this assumption is somewhat doubtful and wrong?

Similar threads

  • · Replies 10 ·
Replies
10
Views
2K
  • · Replies 18 ·
Replies
18
Views
3K
Replies
4
Views
2K
  • · Replies 22 ·
Replies
22
Views
3K
  • · Replies 24 ·
Replies
24
Views
4K
  • · Replies 7 ·
Replies
7
Views
1K
  • · Replies 5 ·
Replies
5
Views
2K
  • · Replies 1 ·
Replies
1
Views
2K
  • · Replies 2 ·
Replies
2
Views
2K
Replies
4
Views
2K