Understanding Linear Transformations: Exploring Inputs and Outputs

In summary, T(P(x))=P(2x-1) for the first example, P(x)=1 for the second example, and T(x)=2x-1 for the third example.
  • #1
Petrus
702
0
Hello,
this is something basic I have hard to understand and would like to have help!:)
this is a exemple from My book and I Dont understand the input!
"Let \(\displaystyle T: P_2->P_2\) be the linear transformation defines by \(\displaystyle T(P(x))=p(2x-1)\)
I Dont understand how this work
\(\displaystyle T(1)=1, T(x)=2x-1, T(x^2)=(2x-1)^2\)
Edit: if i think correct they think like this \(\displaystyle T(1)=T(x^0)=(2x-1)^0=1\)
Regards,
\(\displaystyle |\pi\rangle\)
 
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  • #2
Petrus said:
Hello,
this is something basic I have hard to understand and would like to have help!:)
this is a exemple from My book and I Dont understand the input!
"Let \(\displaystyle T: P_2->P_2\) be the linear transformation defines by \(\displaystyle T(P(x))=p(2x-1)\)
I Dont understand how this work
\(\displaystyle T(1)=1, T(x)=2x-1, T(x^2)=(2x-1)^2\)

Regards,
\(\displaystyle |\pi\rangle\)

Hi Petrus!

I suspect that should be \(\displaystyle T(P(x))=P(2x-1)\).

If so, then for your first example, you would have P(x)=1.
So T(P(x)) = T(1).
And P(2x-1) = 1.
Therefore T(1) = 1.

In the second example, you would have P(x)=x.
So T(P(x)) = T(x).
And P(2x-1)=2x-1.
Therefore T(x) = 2x-1.

In the third example. you would have $P(x)=x^2$.
So $T(P(x)) = T(x^2)$.
And $P(2x-1) = (2x-1)^2$.
Therefore $T(x^2) = (2x-1)^2$.
 
  • #3
I like Serena said:
Hi Petrus!

I suspect that should be \(\displaystyle T(P(x))=P(2x-1)\).

If so, then for your first example, you would have P(x)=1.
So T(P(x)) = T(1).
And P(2x-1) = 1.
Therefore T(1) = 1.

In the second example, you would have P(x)=x.
So T(P(x)) = T(x).
And P(2x-1)=2x-1.
Therefore T(x) = 2x-1.

In the third example. you would have $P(x)=x^2$.
So $T(P(x)) = T(x^2)$.
And $P(2x-1) = (2x-1)^2$.
Therefore $T(x^2) = (2x-1)^2$.
Thank you! Evrything is clear now! Have a nice day!:)
By the way your suspect is correct!;)
Regards,
\(\displaystyle |\pi\rangle\)
 

Related to Understanding Linear Transformations: Exploring Inputs and Outputs

What is a linear transformation input?

A linear transformation input is a mathematical operation that maps one vector space to another in a linear fashion. It involves scaling, rotating, and shearing the input space to produce a transformed output space.

How is a linear transformation input represented?

A linear transformation input is usually represented by a matrix, where each column represents the direction and magnitude of the transformation on the corresponding basis vector.

What is the purpose of a linear transformation input?

The purpose of a linear transformation input is to transform data in a way that makes it easier to analyze and interpret. It is commonly used in fields such as computer graphics, data science, and engineering.

What are some properties of a linear transformation input?

Some properties of a linear transformation input include preserving lines and origin, maintaining parallelism, and preserving ratios of distances. It can also be composed with other linear transformations to create more complex transformations.

What are some real-world applications of linear transformation input?

Linear transformation input has many real-world applications, such as image and video processing, data compression, and machine learning. It is also used in GPS systems for location mapping and in physics for analyzing motion and forces.

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