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The discussion centers on understanding a transition probability matrix $\mathbf{P}$ used in a university assignment. The matrix is defined with states 1, 2, and 3, where each element represents the probability of transitioning from one state to another. Specific guidance is provided for completing the assignment, including drawing a diagram to visualize transitions and checking the definitions of regular and stochastic matrices against $\mathbf{P}$. The responses clarify the structure and interpretation of the matrix, aiding the original poster in completing their task.

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  • Basic knowledge of probability theory
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saifh
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Hi there,

I'm currently doing one of the questions off a practice sheet given to us at uni, however am stuck due to not fully understanding the concept of the question. I've tried attempting it different ways but just cannot find a place to start. Can anyone please help me out here? I've uploaded the question as an image:

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Thanks!
 

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Hi saifh, and welcome to MHB!

Think of the matrix $\mathbf{P}$ like this: $$\begin{matrix}&&\text{from} \\ &&\begin{matrix}1\;\; &2&\;\; 3\end{matrix} \\ \text{to} & \begin{matrix}1 \\ 2\\ 3\end{matrix} & \begin{bmatrix}0.5 & 0.4 & 0.6 \\ 0.2&0.2 & 0.3 \\ 0.3 & 0.4 & 0.1\end{bmatrix} \end{matrix}.$$ In other words, the rows and columns are each numbered by the three states $1$, $2$, $3$, and the element in row $i$ and column $j$ of the matrix represents the probability of transition from state $j$ to state $i$. So for example $\mathbf{P}_{2,1}$, the element in row $2$ and column $1$ (which is equal to $0.2$) tells you the probability of transition from state $1$ to state $2$. That should be enough help for you to do part (i).

For part (ii), draw a diagram with three regions labelled $1$, $2$, $3$ and link them with arrows going from each region to each region (including circular arrows going from a region to itself). Then label each arrow with the probability of transition from the state at the tail of the arrow to the to state at the head of the arrow.

For (iii), look in your notes or textbook to see the definitions of regular and stochastic, and check that the matrix $\mathbf{P}$ satisfies them.
 
Opalg said:
Hi saifh, and welcome to MHB!

Think of the matrix $\mathbf{P}$ like this: $$\begin{matrix}&&\text{from} \\ &&\begin{matrix}1\;\; &2&\;\; 3\end{matrix} \\ \text{to} & \begin{matrix}1 \\ 2\\ 3\end{matrix} & \begin{bmatrix}0.5 & 0.4 & 0.6 \\ 0.2&0.2 & 0.3 \\ 0.3 & 0.4 & 0.1\end{bmatrix} \end{matrix}.$$ In other words, the rows and columns are each numbered by the three states $1$, $2$, $3$, and the element in row $i$ and column $j$ of the matrix represents the probability of transition from state $j$ to state $i$. So for example $\mathbf{P}_{2,1}$, the element in row $2$ and column $1$ (which is equal to $0.2$) tells you the probability of transition from state $1$ to state $2$. That should be enough help for you to do part (i).

For part (ii), draw a diagram with three regions labelled $1$, $2$, $3$ and link them with arrows going from each region to each region (including circular arrows going from a region to itself). Then label each arrow with the probability of transition from the state at the tail of the arrow to the to state at the head of the arrow.

For (iii), look in your notes or textbook to see the definitions of regular and stochastic, and check that the matrix $\mathbf{P}$ satisfies them.

Cheers for the help, I'll reply back here or PM if I still can't do this.
 

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