Is a 20-Degree Rotation in the XY-Plane a Linear Transformation?

In summary, the function that rotates the xy-plane by 20 degrees is a linear transformation from R2 -> R2, as shown by checking the two properties T(u+v) = T(u) + T(v) and T(cu) = cT(u).
  • #1
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Homework Statement



Is the function which rotates the xy-plane by 20 degrees is a linear transformation?

From R2 -> R2

Homework Equations



x` = xcos[tex]\theta[/tex] + ysin[tex]\theta[/tex]
y` = -xsin[tex]\theta[/tex] + ycos[tex]\theta[/tex]

Where [tex]\theta[/tex] = 20 degrees (or [tex]\pi[/tex]/9 )


The Attempt at a Solution


Apparently the solution to this is true:

Ok so the two properties must hold

T(u + v) = T(u) + T(v)
and T(cu) = cT(u)
------------------
Let u = (u1, u2) and v =(v1, v2)


T(u) + T(v) = u1cos[tex]\theta[/tex] + u2sin[tex]\theta[/tex], - v1sin[tex]\theta[/tex] + v2cos[tex]\theta[/tex]

However this isn't equal to T(u+v) = T((u1 + v1), (u2 + v2)) which when expanded will give me more cos[tex]\theta[/tex] terms than in T(u) + T(v).

I figure I am just not computing this properly, any help would be great, thanks.
 
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  • #2




Yes, the function that rotates the xy-plane by 20 degrees is a linear transformation from R2 -> R2. This can be shown by checking the two properties that you mentioned: T(u+v) = T(u) + T(v) and T(cu) = cT(u). Let's start with the first property:

T(u+v) = T((u1 + v1), (u2 + v2)) = (u1 + v1)cos\theta + (u2 + v2)sin\theta, -(u1 + v1)sin\theta + (u2 + v2)cos\theta

Now, let's expand T(u) + T(v):

T(u) + T(v) = (u1cos\theta + u2sin\theta) + (v1cos\theta + v2sin\theta), -(u1sin\theta + u2cos\theta) + -(v1sin\theta + v2cos\theta)

As you can see, these two expressions are equal, so the first property holds. Now let's check the second property:

T(cu) = T(cu1, cu2) = (cu1)cos\theta + (cu2)sin\theta, -(cu1)sin\theta + (cu2)cos\theta

cT(u) = c(u1cos\theta + u2sin\theta) = (cu1)cos\theta + (cu2)sin\theta, -(cu1)sin\theta + (cu2)cos\theta

Again, these two expressions are equal, so the second property holds as well. Therefore, we can conclude that the function that rotates the xy-plane by 20 degrees is a linear transformation from R2 -> R2.

I hope this helps clarify things for you. Keep up the good work in your studies!
 
  • #3


I would like to point out that the function described in the homework statement is indeed a linear transformation. This can be seen by considering the two properties mentioned: T(u + v) = T(u) + T(v) and T(cu) = cT(u).

Firstly, let's consider T(u + v). Using the equations given, we have:

T(u + v) = (u1 + v1)cos\theta + (u2 + v2)sin\theta, -(u1 + v1)sin\theta + (u2 + v2)cos\theta

Expanding this, we get:

T(u + v) = u1cos\theta + v1cos\theta + u2sin\theta + v2sin\theta, -u1sin\theta - v1sin\theta + u2cos\theta + v2cos\theta

Now, using the properties of cosine and sine, we can rewrite this as:

T(u + v) = (u1cos\theta - u1sin\theta) + (v1cos\theta - v1sin\theta) + (u2sin\theta + u2cos\theta) + (v2sin\theta + v2cos\theta)

Which can be simplified to:

T(u + v) = u1(cos\theta - sin\theta) + v1(cos\theta - sin\theta) + u2(sin\theta + cos\theta) + v2(sin\theta + cos\theta)

This is equal to T(u) + T(v), as required by the first property.

Next, let's consider T(cu). Using the equations given, we have:

T(cu) = cu1cos\theta + cu2sin\theta, -cu1sin\theta + cu2cos\theta

Using the properties of multiplication, we can rewrite this as:

T(cu) = c(u1cos\theta + u2sin\theta), -c(u1sin\theta - u2cos\theta)

Which is equal to cT(u), as required by the second property.

Therefore, we can conclude that the function described in the homework statement is indeed a linear transformation from R2 -> R2.
 

What is a linear transformation?

A linear transformation is a mathematical function that maps a set of points in one coordinate system to another set of points in a different coordinate system while preserving the straightness of lines.

What is the difference between a linear transformation and a nonlinear transformation?

The main difference between a linear and a nonlinear transformation is that a linear transformation preserves the structure and properties of the original data, while a nonlinear transformation may alter or distort the data in some way.

What are some common examples of linear transformations?

Some common examples of linear transformations include rotations, translations, reflections, and dilations. These transformations can be seen in geometric shapes and are often used in computer graphics and animation.

How can you represent a linear transformation?

A linear transformation can be represented using a matrix. The matrix contains the coefficients of the transformation and can be multiplied by a vector to obtain the transformed coordinates of a point.

Why are linear transformations important in science?

Linear transformations are important in science because they allow us to describe and understand complex systems and phenomena in a simplified way. They are also essential in many fields such as physics, engineering, and computer science, where mathematical models are used to analyze and predict real-world situations.

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