Linear Transformation from R^2 to R^3

In summary, it is not allowed to evaluate a linear transformation by rewriting it as a different coordinate.
  • #1
JG89
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Suppose a linear transformation [tex] T: R^2 \rightarrow R^3 [/tex] was defined by [tex] T(a_1,a_2) = (2a_1, a_2 + a_1, 2a_2)[/tex]. Now, for example, would I be allowed to evaluate [tex]T(3,8,0)[/tex] by rewriting (3,8,0) as (3,8)?
 
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  • #2
JG89 said:
Suppose a linear transformation [tex] T: R^2 \rightarrow R^3 [/tex] was defined by [tex] T(a_1,a_2) = (2a_1, a_2 + a_1, 2a_2)[/tex]. Now, for example, would I be allowed to evaluate [tex]T(3,8,0)[/tex] by rewriting (3,8,0) as (3,8)?
Not allowed. It's R^2 to begin with. In some cases, it might seem as though such practice were allowed, for example when you're working over the vector space of polynomial functions and have to add some polynomials which are not of the same degree, so the coefficients of the "missing" powers of x are treated as 0. However in such a case it's already implicitly understood that we usually omit writing 0x^3, 0x^4 for example even though they are there.

In your case, how ever, it is not clear cut as to why we should interpret (3,8,0) as (3,8). Why couldn't it be seen as (8,0) instead?
 
  • #3
It seems to me that (3,8,0) and (3,8) represent the same location, if you interpret the coordinates geometrically. My high school math teacher said that this practice was allowed when evaluating cross products, so I thought it might have been okay here. For example, the cross product isn't defined in R^2. So if you wanted to find the cross product of (3,4) and (4,6), you would simply rewrite it as (3,4,0) and (4,6,0).
 
  • #4
Well it depends on the context. If you're an engineering student of course it makes sense to do so. But from a mathematical perspective it's not. It's only ok if it's understood to be intentionally omitted.

By the way you posted this in the Linear Algebra forums. Posting it elsewhere might net you a different answer. Don't try it though, since duplicate threads across different forums are frowned upon.
 
  • #5
Thanks for the help (I was only concerned with the mathematical viewpoint).
 

1. What is a linear transformation from R^2 to R^3?

A linear transformation from R^2 to R^3 is a mathematical function that maps points from a two-dimensional coordinate system (R^2) to a three-dimensional coordinate system (R^3). This transformation can be represented by a 3x2 matrix and involves multiplying each point in R^2 by this matrix to obtain a new point in R^3.

2. What is the purpose of a linear transformation from R^2 to R^3?

The purpose of a linear transformation from R^2 to R^3 is to change the dimensionality of a vector space. It allows for a more complex representation of data and can help with visualizing and understanding relationships between variables in a higher-dimensional space.

3. How is a linear transformation from R^2 to R^3 different from other types of transformations?

Unlike other types of transformations, such as rotations or scaling, a linear transformation from R^2 to R^3 preserves the properties of linear systems, such as the straightness of lines and the preservation of parallelism. This means that the transformation does not distort the shape or orientation of objects, but rather changes their position in space.

4. What are some real-world applications of linear transformations from R^2 to R^3?

Linear transformations from R^2 to R^3 have many practical applications, such as in computer graphics, where they are used to rotate and scale 3D objects. They are also used in physics and engineering to model physical systems and in data analysis to reduce the dimensionality of data for easier visualization and analysis.

5. What are some common examples of linear transformations from R^2 to R^3?

Some common examples of linear transformations from R^2 to R^3 include translations, rotations, and scaling. For example, a translation transformation shifts all points in a two-dimensional plane by a constant amount in the x and y directions, resulting in a new set of points in a three-dimensional space. A rotation transformation rotates all points in a two-dimensional plane by a given angle around a fixed point, creating a new set of points in a three-dimensional space.

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