Solving Equation System for Surjective Linear Transformation: T:R^4->R^2

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Discussion Overview

The discussion revolves around the properties of a surjective linear transformation \( T: \mathbb{R}^4 \to \mathbb{R}^2 \). Participants explore the dimension of the kernel, the number of free variables in the solution to the equation \( T(x) = y \) for \( y \in \mathbb{R}^2 \), and the construction of a transformation matrix associated with \( T \).

Discussion Character

  • Exploratory
  • Technical explanation
  • Mathematical reasoning
  • Debate/contested

Main Points Raised

  • One participant calculates the dimension of the kernel as \( \text{dim ker } T = 4 - 2 = 2 \), suggesting there are 2 free variables when solving \( T(x) = y \).
  • Another participant proposes a specific transformation matrix for \( T \) as \( [T] = \begin{bmatrix}1&0&0&0\\0&1&0&0 \end{bmatrix} \), asserting it is valid for a surjective transformation.
  • A question is raised about the necessity of knowing that \( T \) is surjective, with a participant expressing confusion regarding its implications.
  • Some participants argue that surjectivity is essential because it indicates that the transformation maps from a higher-dimensional space to a lower-dimensional one, affecting the existence of inverses.
  • There is a discussion about the nature of the transformation matrix and the concept of right inverses, with a participant noting that a 2x4 matrix cannot have a determinant and thus cannot be invertible in the traditional sense.
  • One participant suggests constructing a matrix \( B \) from independent vectors in the kernel and the image, proposing that \( TB \) leads to a specific form of the transformation matrix.

Areas of Agreement / Disagreement

Participants express differing views on the implications of surjectivity and the necessity of understanding it in the context of linear transformations. The discussion remains unresolved regarding the role of surjectivity in determining the properties of the transformation.

Contextual Notes

There are unresolved assumptions regarding the definitions of surjective transformations and the implications for the existence of inverses. The discussion also reflects varying interpretations of the relationship between the dimensions of the kernel and the image.

Petrus
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T is a surjective linear transformation $$T: \mathbb{R^4}-> \mathbb{R^2}$$. Decide dim ker T. How many free variables do I get if I solve equation system $$T(x)=y$$ for a vector $$y \in \mathbb{R^2}$$? Construct a transformation matrix belonging to a surjective linear transformation $$T:\mathbb{R^4}->\mathbb{R^2}$$

My progres:
Dim ker T=$$4-2=2$$
Dim ker T=free variables that mean we got 2 free variables
I'm stuck at transformation matrix

Regards,
$$|\pi\rangle$$
 
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Let's keep it simple and try things we know. Consider the canonical basis for $\mathbb{R}^4$ and $\mathbb{R}^2$. Let's define $T: \mathbb{R}^4 \to \mathbb{R}^2$ with $T(1,0,0,0) = (1,0)$ and $T(0,1,0,0) = (0,1)$. Well, we've got the image cleared. Where else could we define the other vectors $(0,0,1,0), (0,0,0,1)$ to go? ;)
 
Well the matrix for $T$ will be a 2x4 matrix. Most 2x4 matrices you might come up with would do, as long as neither row was 0, and the second row was not a scalar multiple of the first. An easy one to come up with is this:

$[T] = \begin{bmatrix}1&0&0&0\\0&1&0&0 \end{bmatrix}$

which is the matrix relative to the standard bases for $\Bbb R^4$ and $\Bbb R^2$ for the surjective linear transformation:

$T(x_1,x_2,x_3,x_4) = (x_1,x_2)$
 
Thanks!
May I ask one thing did we Really need to know it is surjective? I mean what I know is that T got an right inverse. I still Dont understand WHY would I need to know it's surjective?

Regards,
$$|\pi\rangle$$
 
It is surjective because you have the linear transformation going from a bigger space to a smaller. If you had instead $T: \mathbb{R}^2 \to \mathbb{R}^4$ all you could have tops was an injective transformation, therefore you'd have a left inverse. ;)
 
Fantini said:
It is surjective because you have the linear transformation going from a bigger space to a smaller. If you had instead $T: \mathbb{R}^2 \to \mathbb{R}^4$ all you could have tops was an injective transformation, therefore you'd have a left inverse. ;)
Hmm I start to think that the injective transformation for transformation matrix $$T^{-1}$$, but 2x4 Dont have determinant hence there is no inverse but is it correctly understand?

Edit:I keep forgeting it got right inverse but that right inverse is it that transformation matrix for
$T: \mathbb{R}^2 \to \mathbb{R}^4$
Regards,
$$|\pi\rangle$$
 
Last edited:
Petrus said:
T is a surjective linear transformation $$T: \mathbb{R^4}-> \mathbb{R^2}$$. Decide dim ker T. How many free variables do I get if I solve equation system $$T(x)=y$$ for a vector $$y \in \mathbb{R^2}$$? Construct a transformation matrix belonging to a surjective linear transformation $$T:\mathbb{R^4}->\mathbb{R^2}$$

My progres:
Dim ker T=$$4-2=2$$
Dim ker T=free variables that mean we got 2 free variables
I'm stuck at transformation matrix

Regards,
$$|\pi\rangle$$

Since T is surjective (1,0) and (0,1) each must have at least 1 original.
Let's call those originals $\vec b_1$ respectively $\vec b_2$.
They will be independent of each other.
Now find 2 independent vectors in the kernel and let's call them $\vec b_3$ respectively $\vec b_4$.

Let's call B the matrix:
$$B=\begin{pmatrix}\vec b_1&\vec b_2&\vec b_3&\vec b4\end{pmatrix}$$
The matrix B is invertible because all vectors are independent.

Then:
$$TB= \begin{pmatrix}1&0&0&0 \\ 0&1&0&0\end{pmatrix}$$
And:
$$T=TBB^{-1}= \begin{pmatrix}1&0&0&0 \\ 0&1&0&0\end{pmatrix}B^{-1}$$
 

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