Draw a transition diagram that corresponds to the following Markov chain: .98 .80 .95 | a, .02 0. by .20 .05

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Linear Algebra
**Drawing Transition Diagrams for Markov Chains**

**Task:**
Draw a transition diagram that corresponds to the following Markov chain:

\[ 
\begin{pmatrix}
a_{k+1} \\
b_{k+1} \\
c_{k+1} 
\end{pmatrix} 
= 
\begin{pmatrix}
0.98 & 0.80 & 0.95 \\
0.02 & 0 & 0 \\
0 & 0.20 & 0.05 
\end{pmatrix}
\begin{pmatrix}
a_k \\
b_k \\
c_k 
\end{pmatrix} 
\]

**Explanation:**

In this task, we are given a matrix that describes the transition probabilities of a Markov chain. The vector \(\begin{pmatrix} a_{k+1} \\ b_{k+1} \\ c_{k+1} \end{pmatrix}\) represents the state of the system at the next time step, while the vector \(\begin{pmatrix} a_k \\ b_k \\ c_k \end{pmatrix}\) represents the current state of the system. The matrix in between these vectors describes the probability of transitioning from one state to another.

To create the transition diagram:

1. **Identify the States:** 
    - \(a_k\)
    - \(b_k\)
    - \(c_k\)

2. **Draw Nodes for Each State:** 
   - Represent each state \(a_k\), \(b_k\), and \(c_k\) as a circle with respective labels.

3. **Draw Directed Arrows According to Transition Probabilities:**
   - From \(a_k\) to \(a_{k+1}\) with weight 0.98
   - From \(a_k\) to \(b_{k+1}\) with weight 0.80
   - From \(a_k\) to \(c_{k+1}\) with weight 0.95
   - From \(b_k\) to \(a_{k+1}\) with weight 0.02
   - From \(b_k\) to \(c_{k+1}\) with weight 0.20
   - From \(c_k\) to \(a_{k+1}\) with weight 0.05
   
4. **Label
Transcribed Image Text:**Drawing Transition Diagrams for Markov Chains** **Task:** Draw a transition diagram that corresponds to the following Markov chain: \[ \begin{pmatrix} a_{k+1} \\ b_{k+1} \\ c_{k+1} \end{pmatrix} = \begin{pmatrix} 0.98 & 0.80 & 0.95 \\ 0.02 & 0 & 0 \\ 0 & 0.20 & 0.05 \end{pmatrix} \begin{pmatrix} a_k \\ b_k \\ c_k \end{pmatrix} \] **Explanation:** In this task, we are given a matrix that describes the transition probabilities of a Markov chain. The vector \(\begin{pmatrix} a_{k+1} \\ b_{k+1} \\ c_{k+1} \end{pmatrix}\) represents the state of the system at the next time step, while the vector \(\begin{pmatrix} a_k \\ b_k \\ c_k \end{pmatrix}\) represents the current state of the system. The matrix in between these vectors describes the probability of transitioning from one state to another. To create the transition diagram: 1. **Identify the States:** - \(a_k\) - \(b_k\) - \(c_k\) 2. **Draw Nodes for Each State:** - Represent each state \(a_k\), \(b_k\), and \(c_k\) as a circle with respective labels. 3. **Draw Directed Arrows According to Transition Probabilities:** - From \(a_k\) to \(a_{k+1}\) with weight 0.98 - From \(a_k\) to \(b_{k+1}\) with weight 0.80 - From \(a_k\) to \(c_{k+1}\) with weight 0.95 - From \(b_k\) to \(a_{k+1}\) with weight 0.02 - From \(b_k\) to \(c_{k+1}\) with weight 0.20 - From \(c_k\) to \(a_{k+1}\) with weight 0.05 4. **Label
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