Finding the Matrix Representation of a Linear Transformation with Given Basis

In summary: Just continue with the remaining two columns. In summary, the linear transformation T defined by T(p(x))= D^2(p(x))-4D(p(x)) + p(x) can be represented by the matrix [5 -4 0 0; 4 -3 0 0; 0 1 -4 0; 0 0 1 0] in the basis (x, 1+x, x+x^2, x^3). This is obtained by applying T to each basis vector and writing the result as a linear combination of the basis vectors, with the coefficients forming the columns of the matrix.
  • #1
mlarson9000
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0

Homework Statement


Let T: P3-P3 be the linear transformation defined by T(p(x))= D^2(p(x))-4D(p(x)) + p(x). Find the Matrix representation of A of T, where B = (x, 1+x, x+x^2, x^3).


Homework Equations





The Attempt at a Solution


I don't know where to start here. What is D? Is itjust a variable? What is p(x)? is it just a generic funtion? Will the Matrix be filled with D's and p(x)'s? Someone please let me know where to start.
 
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  • #2
D is the (first) derivative operator. D2 is the second derivative operator. p(x) is an arbitrary polynomial in P3, meaning that it is a polynomial of degree less than or equal to 3. One example is p(x) = 1 + 2x + 3x2 + x3.

A polynomial in P3 can be represented as an ordered 4-tuple, by listing the coefficients of each power of x. The function p in my example can be written in this way as [1 2 3 1]. Your matrix will have numbers in it, not Ds or p(x)'s.
 
  • #3
So is that the same thing as f"(x)-4f'(x)+f(x)?
 
  • #4
If you mean T(f(x))=f"(x)-4f'(x)+f(x). Yes, it is. If you want to simply the problem a little, you could find the matrix M of S(f(x))=f'(x). The matrix you are looking for is then is M^2-4M+I.
 
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  • #5
Kind of like Laplace transformation ?
T (f) = S2L(f)-Sf(0)-f'(0)-4SL'(f)-4f(0)+f
 
  • #6
steve89 said:
Kind of like Laplace transformation ?
T (f) = S2L(f)-Sf(0)-f'(0)-4SL'(f)-4f(0)+f
I don't see that there's any connection.
 
  • #7
Now that you know what the linear transformation is, you can find its matrix representation in a given basis by applying it to each basis "vector" in turn, writing the result as a linear combination of the basis vectors. The coefficients form the columns of the matrix.

For example, your given basis is (x, 1+x, x+x^2, x^3). T(x)= D^2(x)-4D(x) + x= 0- 4(1)+ 1= x- 4= 5(x)- 4(x+1)+ 0(x+x^2)+ 0(x^3). The first column of the matrix is (5, -4, 0, 0).
 
  • #8
HallsofIvy said:
For example, your given basis is (x, 1+x, x+x^2, x^3). T(x)= D^2(x)-4D(x) + x= 0- 4(1)+ 1= x- 4= 5(x)- 4(x+1)+ 0(x+x^2)+ 0(x^3). The first column of the matrix is (5, -4, 0, 0).

So, for the second column: T(1+x)=D^2(1+x)-4D(1+x)+(1+x)= 0-4(1)+(1+x)=x-3=4(x)-3(x+1)+0(x+x^2)+0(x^3) gives <4,-3,0,0>

Right?
 
  • #9
Yes! Very good.
 

1. What is a linear transformation problem?

A linear transformation problem involves finding a function that maps the input of one vector space to the output of another vector space while preserving the basic algebraic properties of addition and scalar multiplication.

2. What are some real-world applications of linear transformation problems?

Linear transformation problems are commonly used in fields such as physics, engineering, and computer graphics. Examples include analyzing the movement of particles in a magnetic field, designing electrical circuits, and creating 3D computer graphics.

3. How do you determine if a transformation is linear?

A transformation is considered linear if it satisfies two properties: additivity and homogeneity. Additivity means that the transformation of the sum of two vectors is equal to the sum of the individual transformations. Homogeneity means that the transformation of a scalar multiple of a vector is equal to the scalar multiple of the transformation of that vector.

4. What are some common techniques for solving linear transformation problems?

Some common techniques include using matrices and systems of equations, finding eigenvalues and eigenvectors, and using geometric transformations such as rotations and reflections.

5. How can I use linear transformation problems to solve practical problems?

Linear transformation problems can be used to model and solve a variety of practical problems, such as optimizing production processes, analyzing data trends, and predicting future outcomes. By understanding the properties and techniques of linear transformations, scientists can apply them to real-world scenarios and make informed decisions.

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