Linear Algebra Standard Matrix

In summary, we are looking for the standard matrix for a transformation T where T maps a vector v to the projection of v onto a non-zero vector u in R^2. The standard matrix can be found by determining where T sends the unit vectors e1 and e2. By using the formula for projection, we can calculate that T will map e1 to [1/2, -1/2] and e2 to [-1/2, 1/2]. Therefore, the standard matrix for T is [1/2, -1/2; -1/2, 1/2].
  • #1
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Homework Statement



Let [tex]\vec{u}\neq 0[/tex] be a vector in [tex]\mathbb{R}^2[/tex] and let

[tex]T:\mathbb{R}^2 \to \mathbb{R}^2[/tex] be described by

[tex]T:\vec{v} \to proj_{\vec{u}}(\vec{v})[/tex]

If [tex]\vec{u}=[1,-1][/tex]

Find the standard matrix for [tex]T[/tex]

Homework Equations



[tex]proj_{\vec{u}}(\vec{v})= \frac{\vec{v}\cdot\vec{u} }{\vec{u}\cdot\vec{u}}\vec{u}[/tex]

The Attempt at a Solution



Determine where [tex]T[/tex] sends [tex]\vec{e_1}[/tex] and [tex]\vec{e_2}[/tex]

[tex]f(\vec{e_1})= \frac{\vec{e_1}\cdot\vec{u} }{\vec{u}\cdot\vec{u}}\vec{u}[/tex]

[tex]f(\vec{e_1})= \frac{[1,0]\cdot [1,-1]}{[1,-1]\cdot [1,-1]}[/tex]

[tex]f(\vec{e_1})= [\frac{1}{2},-\frac{1}{2}][/tex]

[tex]f(\vec{e_2})= \frac{\vec{e_2}\cdot\vec{u} }{\vec{u}\cdot\vec{u}}\vec{u}[/tex]

[tex]f(\vec{e_2})= \frac{[0,1]\cdot [1,-1]}{[1,-1]\cdot [1,-1]}[/tex]

[tex]f(\vec{e_2})= [-\frac{1}{2},\frac{1}{2}][/tex]

So does that mean that the standard matrix is

[tex]
\begin{bmatrix}
\frac{1}{2} & -\frac{1}{2} \\
-\frac{1}{2} & \frac{1}{2} \\
\end{bmatrix}
[/tex]

?

[Edited twice for LaTex mistakes]
 
Last edited:
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  • #3
This is correct, although your derivation in section 3 has a typo: the fourth through sixth equations should begin with [tex]f(\vec{e}_2)[/tex] rather than [tex]f(\vec{e}_1)[/tex].

It's easier to see where this operation should send the unit vectors by drawing a picture.
 
  • #4
Pretty much okay I'd say.
 
  • #5
Thank you, gentlemen. We just learned all this crazy stuff about matrix transformations and I'm still a little iffy on the concept :biggrin:
 

1. What is a standard matrix in linear algebra?

A standard matrix in linear algebra is a matrix that represents a linear transformation from one vector space to another. It is a rectangular array of numbers, with each column representing the coefficients of a particular variable in the linear transformation.

2. How is a standard matrix used in linear algebra?

A standard matrix is used to perform operations and calculations in linear algebra. It allows for the representation and manipulation of linear transformations, such as rotations, reflections, and scaling, in a concise and efficient manner.

3. How do you create a standard matrix?

To create a standard matrix, you first need to determine the basis vectors of the vector space. These basis vectors are then used to construct the columns of the matrix, with the coefficients of each variable in the linear transformation being the entries in each column.

4. What are some properties of a standard matrix?

A standard matrix has several important properties, including being square if the number of rows and columns are equal, being invertible if the linear transformation is one-to-one and onto, and preserving the dimension of the vector space.

5. How does a standard matrix relate to systems of linear equations?

A standard matrix can be used to solve systems of linear equations. By representing the coefficients of the variables in the system as a matrix, the system can be solved using techniques such as Gaussian elimination or matrix inversion.

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