What is the Result of Applying L to the Polynomial α+βτ+γτ2?

In summary, the conversation discusses a linear transformation from R3[τ] to R2[τ] with bases (1,τ,τ2) and (1,τ) respectively. The matrix representation for this transformation is given as A=[2 0 1] [0 1 3]. The problem asks for the result of L(α+βτ+γτ2) and the components of α+βτ+γτ² in the basis (1,τ,τ²). The correct components are α,β,γ. The conversation then provides a familiar example and asks for the components of the vector ai + bj + ck in the basis (i, j, k), which are a, b
  • #1
sana2476
33
0

Homework Statement



Let L : R3[τ] → R2[τ] be a linear transformation, where the bases for the polynomial vector spaces R3[τ] and R2[τ] are (1,τ,τ2) and (1,τ) respectively. We also know the matrix representation for L is:

A=[2 0 1]
[0 1 3]

What is the result of L(α+βτ+γτ2)?



The Attempt at a Solution



is it safe to say that identity matrix forms a basis? I need help understanding this problem
 
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  • #2
What are the components of α+βτ+γτ² in the basis (1,τ,τ²)?
 
  • #3
The components would just be α=1, β=1, γ=1. Isn't that right?
 
  • #4
No.

Let's try a more familiar example. What are the components of the vector ai + bj + ck in the basis (i, j, k)?
 
  • #5
a,b,c would be the components.
 
  • #6
Yes, that's correct. Now what are the components of α1ττ² in the basis (1, τ, τ²)?
 
  • #7
α,β,γ are the components in the basis (1, τ, τ²).
 
  • #8
Yes. Now, what do you get when the matrix

[2 0 1]
[0 1 3]

acts on the vector (α, β, γ)?
 
  • #9
you would get:

[2α + γ]
[β + 3γ]

Correct?
 
  • #10
Yes, you get the vector (2α + γ, β + 3γ). But what basis is this vector in?
 
  • #11
It's in the basis: (1, τ, τ²)?
 
  • #12
No. Read the question again. When you have a linear transformation L : A → B, and you want to represent L by a matrix, you must chose a basis for both A and B. What is the basis of B in this case?
 
  • #13
The basis for B is (1,τ)
 
  • #14
Ok, so what's the answer? What's L(α+βτ+γτ²)?
 
  • #15
Ok so (1,τ,τ2) is the basis for L(α+βτ+γτ²)
 
  • #16
I get the feeling you don't completely understand what a basis is. What is a basis?
 

FAQ: What is the Result of Applying L to the Polynomial α+βτ+γτ2?

What is a linear transformation?

A linear transformation is a mathematical function that maps vectors from one space to another while preserving the basic structure of the vectors, such as their direction and relative distance.

What are some common examples of linear transformations?

Some common examples of linear transformations include rotations, reflections, scaling, and shearing. These transformations are often used in computer graphics, engineering, and physics to manipulate vectors and objects in 2D and 3D space.

How do you represent a linear transformation?

A linear transformation can be represented by a matrix, where each column of the matrix represents the image of the corresponding basis vector from the original vector space. The resulting transformed vector can be obtained by multiplying the original vector by this matrix.

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

A linear transformation preserves the basic structure of the vectors, while a nonlinear transformation does not. This means that a nonlinear transformation can change the direction, length, and angle of the vectors, whereas a linear transformation only changes their position and orientation.

Why are linear transformations important in mathematics and science?

Linear transformations are important because they provide a powerful tool for understanding and solving problems in various fields such as physics, engineering, computer science, and economics. They also form the basis for more advanced mathematical concepts such as eigenvalues and eigenvectors, which are essential in many areas of science and technology.

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