Linear Transformation from R3 to R3

In summary, there is a linear transformation from R3 to R3 that maps (1, 0, 0) to (1,0,-1), (0,1,0) to (1,0,-1), and (0,0,1) to (1,2,2). This transformation can be described by the matrix $$\begin{bmatrix}1 & 1 & 1 \\0 & 0 & 2 \\-1 & -1 & 2\\\end{bmatrix}$$and it can also be described by the matrix $$\begin{bmatrix}1 & 1 & 1 \\0 & 2 & 0 \\
  • #1
jolly_math
51
5
Homework Statement
Describe explicitly a linear transformation from R3 into R3 which has as its
range the subspace spanned by (1, 0, -1) and (1, 2, 2).
Relevant Equations
linear transformation
"There is a linear transformation T from R3 to R3 such that T (1, 0, 0) = (1,0,−1), T(0,1,0) = (1,0,−1) and T(0,0,1) = (1,2,2)" - why is this the case?

Thank you.
 
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  • #2
Does it help to glance at the following matrices:
$$
\begin{bmatrix}
1 & 1 & 1 \\
0 & 0 & 2 \\
-1 & -1 & 2\\
\end{bmatrix}
\times
\begin{bmatrix}
x \\
y \\
z\\
\end{bmatrix}
$$
?
 
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  • #3
jolly_math said:
Homework Statement:: Describe explicitly a linear transformation from R3 into R3 which has as its
range the subspace spanned by (1, 0, -1) and (1, 2, 2).
Relevant Equations:: linear transformation

"There is a linear transformation T from R3 to R3 such that T (1, 0, 0) = (1,0,−1), T(0,1,0) = (1,0,−1) and T(0,0,1) = (1,2,2)" - why is this the case?

Thank you.
A linear transformation can be fully described by its action on any basis. Can you see why?
 
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  • #4
Hall said:
$$
\begin{bmatrix}
1 & 1 & 1 \\
0 & 0 & 2 \\
-1 & -1 & 2\\
\end{bmatrix}
\times
\begin{bmatrix}
x \\
y \\
z\\
\end{bmatrix}
$$

For R3, would
$$
\begin{bmatrix}
1 & 1 & 1 \\
0 & 2 & 0 \\
-1 & 2 & -1\\
\end{bmatrix}
\times
\begin{bmatrix}
x \\
y \\
z\\
\end{bmatrix}
$$
also work (switching which vector corresponds to each basis)? Thanks.
 
  • #5
jolly_math said:
For R3, would
$$
\begin{bmatrix}
1 & 1 & 1 \\
0 & 2 & 0 \\
-1 & 2 & -1\\
\end{bmatrix}
\times
\begin{bmatrix}
x \\
y \\
z\\
\end{bmatrix}
$$
also work (switching which vector corresponds to each basis)? Thanks.
Yes, I think. I think even double columns of ##(1,2,2)## will also satisfy the given things.
 
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FAQ: Linear Transformation from R3 to R3

What is a linear transformation from R3 to R3?

A linear transformation from R3 to R3 is a mathematical function that maps a vector from a three-dimensional coordinate system to another three-dimensional coordinate system. It is a type of transformation that preserves the basic properties of vectors, such as direction and magnitude.

How is a linear transformation from R3 to R3 represented?

A linear transformation from R3 to R3 can be represented by a 3x3 matrix. The columns of the matrix represent the new coordinates of the basis vectors in the transformed coordinate system. The transformation is then applied to any vector in R3 by multiplying it with this matrix.

What are the properties of a linear transformation from R3 to R3?

A linear transformation from R3 to R3 has three main properties: it preserves the origin (the zero vector), it preserves scalar multiplication, and it preserves vector addition. This means that the transformation maps the zero vector to itself, multiplies any vector by a scalar to the same factor, and adds two vectors to produce the same result as before the transformation.

How is a linear transformation from R3 to R3 different from a linear transformation from R2 to R2?

The main difference between a linear transformation from R3 to R3 and a linear transformation from R2 to R2 is the dimensionality of the coordinate systems. R3 has three dimensions, while R2 has only two. This means that a linear transformation from R3 to R3 will have a 3x3 matrix representation, while a linear transformation from R2 to R2 will have a 2x2 matrix representation.

What are some real-world applications of linear transformations from R3 to R3?

Linear transformations from R3 to R3 have many applications in fields such as physics, engineering, and computer graphics. They can be used to rotate, scale, and translate objects in three-dimensional space, as well as to model physical phenomena and analyze data. They are also essential in 3D computer graphics for rendering and animation.

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