Finding the Transition Matrix and [x]C for B and C Vectors

In summary, a transition matrix is a mathematical representation of the probabilities of moving from one state to another in a system, often used in the study of Markov chains. To calculate a transition matrix, one must identify the states and their corresponding probabilities, and organize them into a square matrix. The purpose of a transition matrix is to model the behavior of a system over time and predict future states. It is mainly used in probabilistic systems and has a variety of real-world applications in fields such as economics, biology, and computer science.
  • #1
Maxwhale
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Homework Statement



Find the transition matrix from B to C and find [x]C

B = {(3,1), (-1,-2)}
C = {(1,-3),(5,0)}

[x]B = [-1 -2]T

Homework Equations





The Attempt at a Solution


No clue :(
 
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  • #2
Well, if you call your transition matrix [itex]T[/itex], then

[tex]\begin{pmatrix} 1 \\ -3 \end{pmatrix}= T \begin{pmatrix} 3 \\ 1 \end{pmatrix}[/tex]

and

[tex]\begin{pmatrix} 5 \\ 0 \end{pmatrix}=T \begin{pmatrix} -1 \\ -2 \end{pmatrix}[/tex]

[tex]\Rightarrow \begin{pmatrix} 1 & 5 \\ -3 & 0 \end{pmatrix}= T \begin{pmatrix} 3 & -1 \\ 1 & -2 \end{pmatrix}[/tex]

...is that enough to get you started?
 

1. What is a transition matrix?

A transition matrix is a mathematical representation of the probabilities of moving from one state to another in a system. It is typically used in the study of Markov chains, which are systems that have a set of states and a probability of transitioning from one state to another based on a set of rules.

2. How do you calculate a transition matrix?

To calculate a transition matrix, you need to first identify the states in the system and determine the probabilities of transitioning from one state to another. These probabilities should add up to 1 for each state. Then, you can organize these probabilities into a square matrix, with the rows representing the current state and the columns representing the next state.

3. What is the purpose of a transition matrix?

The purpose of a transition matrix is to model the behavior of a system over time. It allows scientists to predict the future state of a system based on its current state and the probabilities of transitioning to other states. It is also useful for analyzing the stability and long-term behavior of a system.

4. Can a transition matrix be used for non-probabilistic systems?

No, a transition matrix is specifically designed for probabilistic systems, where the outcomes are uncertain and can be represented by a set of probabilities. It cannot be used for non-probabilistic systems, such as deterministic systems where the outcomes are known and repeatable.

5. How is a transition matrix used in real-world applications?

Transition matrices have a wide range of applications in various fields, including economics, biology, and computer science. In economics, they can be used to model the movement of goods and services between countries. In biology, they can be used to study population dynamics and the spread of diseases. In computer science, they can be used for natural language processing and recommendation systems.

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