Linear Transformation of a Plane

In summary, the problem asks if a linear transformation maps a plane through 0 or onto a line through 0 or onto just the origin.
  • #1
bwpbruce
60
1
$\textbf{Problem}$
Let $\textbf{u}$ and $\textbf{v}$ be linearly independent vectors in $\mathbb{R}^3$, and let $P$ be the plane through $\textbf{u}, \textbf{v}$ and $\textbf{0}.$ The parametric equation of $P$ is $\textbf{x} = s\textbf{u} + \textbf{v}$ (with $s$, $t$ in $\mathbb{R}$). Show that a linear transformation $T: \mathbb{R}^3 \mapsto \mathbb{R}^3$ maps $P$ onto a plane through $\textbf{0}$ or onto a line through $\textbf{0}$ or onto just the origin $\mathbb{R}^3$. What must be true about $T\textbf{u}$

$\textbf{Solution}$

\begin{align*}T(\textbf{x}) &= T(s\textbf{u} + t\textbf{v}) \\&=T(s\textbf{u}) + T(t\textbf{u}) = sT\textbf{(u)} + tT\textbf{(v)}\end{align*}

\begin{align*}T(\textbf{0}) &= sT(\textbf{0}) + tT(\textbf{0})\\&=\textbf{0}\end{align*}

$T(\textbf{x})$ goes through the origin.

$T(\textbf{x})$ is a plane in $\mathbb{R}^3$ through $\textbf{0}$ in the case when $T(\textbf{(u)}) \ne tT(\textbf{(v)})$ and $T(\textbf{(v)} \ne sT\textbf{(u)}$.

$T(\textbf{x})$ is a line in $\mathbb{R}^3$ through $\textbf{0}$ in the case when $T(\textbf{(u)}) = tT(\textbf{(v)})$ or $T(\textbf{(v)} = sT\textbf{(u)}$

$T(\textbf{x})$ is a zero vector $\mathbb{R}^3$ in the case when $T(\textbf{u}) = T\textbf{v} = \textbf{0}$.

Can someone please provide feedback on this solution? Thanks.
 
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  • #2
bwpbruce said:
Show that a linear transformation $T: \mathbb{R}^3 \mapsto \mathbb{R}^3$ maps $P$ onto a plane through $\textbf{0}$ or onto a line through $\textbf{0}$ or onto just the origin $\mathbb{R}^3$. What must be true about $T\textbf{u}$
It may be a question of terminology, but I think that the phrase "A function $f$ maps a set $A$ onto a set $B$" means that $f$ is onto, i.e., a surjection. Thus, it is important to understand that you need to prove not only that that the image of every point from the original plane lies on the plain (or line, or point) generated by $0$, $T(\mathbf{u})$ and $T(\mathbf{v})$, but also that every point on the second plain is the image. I don't think you need to change your solution, but this should be kept in mind.

bwpbruce said:
$T(\textbf{x})$ is a plane in $\mathbb{R}^3$ through $\textbf{0}$ in the case when $T(\textbf{(u)}) \ne tT(\textbf{(v)})$ and $T(\textbf{(v)} \ne sT\textbf{(u)}$.
This can be stated by saying that $T(\mathbf{u})$ and $T(\mathbf{v})$ are linearly independent.

bwpbruce said:
$T(\textbf{x})$ is a line in $\mathbb{R}^3$ through $\textbf{0}$ in the case when $T(\textbf{(u)}) = tT(\textbf{(v)})$ or $T(\textbf{(v)} = sT\textbf{(u)}$
This does not prevent the case when both $T(\mathbf{u})$ and $T(\mathbf{v})$ are zero vectors.

Is there any significance in double parentheses?
 
  • #3
Is there any significance in double parentheses?

No, not really. I appreciate all your contributions.
 

FAQ: Linear Transformation of a Plane

What is a linear transformation of a plane?

A linear transformation of a plane is a mathematical operation that maps every point in a plane to a new location based on a set of rules. These rules involve scaling, rotating, and shearing the plane, while preserving its straight lines and parallelism.

What is the difference between a linear and a non-linear transformation of a plane?

A linear transformation follows the rules of linear algebra, which means that the transformation can be represented by a matrix. Non-linear transformations do not follow these rules and cannot be represented by a matrix.

How is a linear transformation of a plane represented mathematically?

A linear transformation of a plane can be represented by a 2x2 matrix. This matrix is composed of the coefficients of the transformation, which determine how each point in the plane will be mapped to its new location.

What is the effect of a linear transformation on the shape of a plane?

A linear transformation can change the size, orientation, and shape of a plane. It can stretch or compress the plane, rotate it around a point, and shear it along a specific axis. However, a linear transformation will always preserve the parallelism and straight lines of the original plane.

How are linear transformations used in real life applications?

Linear transformations are used in various fields, such as computer graphics, robotics, and physics. They are used to manipulate images, simulate movements of objects, and model physical systems. They are also used in data analysis and machine learning algorithms.

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