Finding Basis for R2 Using Linear Transformation with Transition Matrix P s←t

In summary, in the first problem, the correct basis for R2 is S = {[2,-1], [3,2]}. In the second problem, the basis for R2 is T = {[1,2], [2,3]}. Great job on starting to think about the problem and finding a solution, but remember to apply the transition matrix correctly and find linearly independent vectors to form the basis.
  • #1
jlucas134
22
0
Need some help getting started...

Let T ={ [1, 0], [1, 1] }be a basis for R2 .
Given that Transition matrix P s←t
[ 2, 3 ; -1, 2],

find the basis S for R2.

Here is what I think...I started by letting v being any vector...

[1,0] and [0,1] and applied them to the transition matrix by multiplying the transition matrix to each individual set list at the beginning of this sentence to find the v value... to get [2,-1] and [3, 2]

Then taking these values to the vectors of T

I get 2*[1,0]-1*[1,1] and
3*[1,0]+2*[1,1]

My final answer came up with [1, -1] and [5, 2], so is this the basis of S?


2)
Let S ={ [1, -1], [1, 1] } be a basis for R2 .
Given that Transition matrix P s←t

[ 1, 2; 2, 3]

find the basis T for R2.

I think you have to inverse the trans matrix then do the steps from problem one...I get T={[-1,5], [1,-3]} for basis.
 
Physics news on Phys.org
  • #2


Hello there!

First of all, great job on starting to think about the problem and coming up with a solution. Let's take a closer look at your approach and see if we can refine it a bit.

In the first problem, you correctly started by letting v be any vector and applying the transition matrix to find the v value. However, instead of multiplying the transition matrix to each individual set, you should multiply it to each individual vector in the basis T. So, for [1,0], you would get [2, -1] and for [1,1], you would get [3,2].

Next, you took these values and applied them to the vectors in T. This is not the correct approach. Remember, a basis for a vector space is a set of linearly independent vectors that span the space. So, to find the basis S for R2, we need to find two linearly independent vectors that can be written as a linear combination of [2,-1] and [3,2].

Using the values we got earlier, we can write [1,-1] as 1*[2,-1] + (-1)*[3,2] and [5,2] as 2*[2,-1] + 1*[3,2]. So, the basis S for R2 is {[2,-1], [3,2]}.

For the second problem, you are correct in thinking that you need to find the inverse of the transition matrix. However, instead of applying it to the vectors in S, you should apply it to the vectors in the standard basis for R2, which is {[1,0], [0,1]}. This will give you the vectors in the basis T for R2 as {[1,2], [2,3]}.

I hope this helps and good luck with your further explorations in linear algebra!
 

FAQ: Finding Basis for R2 Using Linear Transformation with Transition Matrix P s←t

What is the purpose of finding a basis for R2 using linear transformation with transition matrix P s←t?

The purpose of finding a basis for R2 using linear transformation with transition matrix P s←t is to determine a set of vectors that can be used to represent any point in the two-dimensional space of the vector s. This basis allows for easier calculations and analysis of the transformation between the two vector spaces s and t.

How is the basis for R2 found using linear transformation with transition matrix P s←t?

The basis for R2 is found by applying the transition matrix P s←t to a set of linearly independent vectors in the vector space s. The resulting vectors will form a basis for the vector space t, which can be used to represent any point in t using a linear combination of the basis vectors.

What is the significance of the transition matrix P s←t in finding the basis for R2?

The transition matrix P s←t represents the transformation between the two vector spaces s and t. By applying this matrix to a set of vectors in s, we can determine a set of vectors that form a basis for t. This allows us to easily represent any point in t using a linear combination of the basis vectors.

Can the basis for R2 using linear transformation with transition matrix P s←t be used for other vector spaces?

Yes, the basis for R2 found using linear transformation with transition matrix P s←t can be used for other vector spaces as long as the same transition matrix is applied. This is because the basis vectors are determined by the transformation between the two vector spaces, which is represented by the transition matrix.

How is the basis for R2 used in practical applications?

The basis for R2 found using linear transformation with transition matrix P s←t is used in various applications such as computer graphics, image processing, and data analysis. It allows for easier representation and manipulation of data in the two-dimensional vector space and can also be extended to higher dimensions for more complex transformations.

Back
Top