Finding T(u) given eigenvalues and eigenvectors.

In summary, the author is trying to find the linear transformation that satisfies the following equation:v1=[-2 1 4]T eignevector of T whose eigenvalue is p1=2ANDv2=[3 0 -1]T eignevector of T whose eigenvalue is p2=5.
  • #1
peripatein
880
0
Hello,

Homework Statement


D:R3[x]->R3[x] is defined thus for any p(x)=(a0)+(a1)x+(a2)x2+(a3)x3:
D(p(x)) = a1 + (2a2)x + (33)2
I am asked to find [D]B where B is the standard basis {1,x,x2,x3}
I am then asked to find the transition matrix from B to C, where C={1,1+x,x+x2,x2+x3}.
Based on these two I am then asked to find [D]C.

Homework Equations


The Attempt at a Solution


I have found [D]B to be (0 1 0 0)T (0 0 2 0)T (0 0 0 3)T (0 0 0 0)T
I have found the transition matrix to be (1 -1 1 -1)T (0 1 -1 1)T (0 0 1 -1)T (0 0 0 1)T
But then, the multiplication of (0 1 0 0)T (0 0 2 0)T (0 0 0 3)T (0 0 0 0)T by (1 -1 1 -1)T (0 1 -1 1)T (0 0 1 -1)T (0 0 0 1)T does not yield the expected (0 1 -1 1)T (0 0 2 -1)T (0 0 0 3)T (0 0 0 0)T
Any ideas where I might be wrong? I have gone over the algebra several times, and have tried multiplying in the opposite order too.
 
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  • #2
Hi there,

The linear transformation D(p(x)) = a1 + (2a2)x + (33)2; is this correct, or should it read D(p(x)) = a1 + (2a2)x + (3a3)x2? If my assumption is correct, then I can help you with your question. If you are not mistaken, then I can't really help because I am unfamiliar with that notation.

Anyways, I'll chip in assuming D(p(x)) = a1 + (2a2)x + (3a3)x2. I started by finding the transition matrix from the B basis to the C basis. When you say: (1 -1 1 -1)T (0 1 -1 1)T (0 0 1 -1)T (0 0 0 1)T, I guess you mean the transpose of (a b c d) where each (a b c d) is the column. I think you got the columns in opposite order. For the transition matrix, I got:

\begin{bmatrix}
1 & -1 & 1 & -1\\
0 & 1 & -1 & 1 \\
0 & 0 & 1 & -1 \\
0 & 0 & 0 & 1
\end{bmatrix}.

When asked for [D]B, you're trying to find the matrix of the linear transformation, right? Again, this is assuming the linear transformation I wrote above: D(p(x)) = a1 + (2a2)x + (3a3)x2, but I get

\begin{bmatrix}
0 & 1 & -2 & -3\\
0 & 0 & 2 & -3 \\
0 & 0 & 0 & 3 \\
0 & 0 & 0 & 0
\end{bmatrix},

since the coordinate vectors of the linear transformation of each member of the B basis with respect to the C basis are the above matrice's column vectors; i.e.,

[D(1)]C =

\begin{bmatrix}
0\\
0 \\
0 \\
0
\end{bmatrix},

[D(x)]C =

\begin{bmatrix}
1\\
0 \\
0 \\
0
\end{bmatrix},

[D(x2)]C =

\begin{bmatrix}
-2\\
2 \\
0 \\
0
\end{bmatrix}, and

[D(x3)]C =

\begin{bmatrix}
3\\
-3 \\
3 \\
0
\end{bmatrix}.

I only have enough time to compute those two matrices. Either way let me know if you wrote the linear transformation correctly so I can determine if what I said was pointless or possibly helpful!
 
  • #3
Hi,
I have managed to sort it out myself. Regardless, thank you!
However, I have by now come across the following difficulty: finding T(u) where u = [-7 2 9]T, given T:R3->R3 a linear transformation satisfying:
v1=[-2 1 4]T eignevector of T whose eigenvalue is p1=2
AND
v2=[3 0 -1]T eignevector of T whose eigenvalue is p2=5

Attempt at solution:
Clearly, T[-2 1 4]T = 2[-2 1 4]T = [-4 2 8]T and T[3 0 -1]T = 5[3 0 -1]T = [15 0 -5]T
But I am not sure how to continue and derive T(u) based on the above.
I'd appreciate your help.
 

FAQ: Finding T(u) given eigenvalues and eigenvectors.

What is a transition matrix?

A transition matrix is a mathematical tool used to represent the probabilities of moving from one state to another in a system over time. It is commonly used in various fields such as economics, physics, and biology to model and analyze dynamic systems.

How is a transition matrix calculated?

A transition matrix is typically calculated by dividing the number of transitions from one state to another by the total number of transitions in a given period. It can also be calculated by multiplying the probability of transitioning from one state to another by the probability of staying in the same state.

What is the purpose of a transition matrix?

The purpose of a transition matrix is to provide a visual representation of the transitions between states in a system over time. It allows researchers to analyze and predict the behavior of a system and make informed decisions based on the probabilities of transitioning between states.

What are some applications of transition matrices?

Transition matrices have various applications in different fields. In economics, they can be used to model consumer behavior and market trends. In biology, they can be used to study population dynamics and the spread of diseases. In physics, they can be used to analyze the behavior of particles and energy.

What are the limitations of using transition matrices?

One limitation of using transition matrices is that they assume a constant transition probability over time, which may not always be the case in real-world situations. They also require a large amount of data and may not accurately represent complex systems with multiple variables.

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