Use the age transition matrix L and age distribution vector x₁ to find the age distribution vectors x₂ and X3. 0 36 1 00 X2 X3 || || L = x = t 0 000 ↓1 000 0 I X₁ = 18 18 18 Then find a stable age distribution vector. E

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Chapter2: Second-order Linear Odes
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Use the age transition matrix \( L \) and age distribution vector \( \mathbf{x}_1 \) to find the age distribution vectors \( \mathbf{x}_2 \) and \( \mathbf{x}_3 \).

\[
L = \begin{bmatrix} 
0 & 3 & 6 \\ 
1 & 0 & 0 \\ 
0 & \frac{1}{3} & 0 
\end{bmatrix}, \quad \mathbf{x}_1 = \begin{bmatrix} 
18 \\ 
18 \\ 
18 
\end{bmatrix}
\]

\[
\mathbf{x}_2 = \begin{bmatrix} 
\boxed{\phantom{0}} \\
\boxed{\phantom{0}} \\
\boxed{\phantom{0}} 
\end{bmatrix}
\]

\[
\mathbf{x}_3 = \begin{bmatrix} 
\boxed{\phantom{0}} \\
\boxed{\phantom{0}} \\
\boxed{\phantom{0}} 
\end{bmatrix}
\]

Then find a stable age distribution vector.

\[
\mathbf{x} = t \begin{bmatrix} 
\boxed{\phantom{0}} \\
\boxed{\phantom{0}} \\
\boxed{\phantom{0}} 
\end{bmatrix}
\]

**Explanation of Diagram:**

The provided matrix \( L \) is a 3x3 transition matrix used to model changes in age distribution over time.

The vector \( \mathbf{x}_1 \) represents the initial age distribution with three equal age cohorts of size 18.

The blank vector boxes for \( \mathbf{x}_2 \), \( \mathbf{x}_3 \), and a stable age distribution vector \( \mathbf{x} \), denoted as \( t \times \) the vector, represent places to calculate subsequent age distributions and a stable distribution after sufficient time has passed, presumably by iterating the matrix multiplication.
Transcribed Image Text:Use the age transition matrix \( L \) and age distribution vector \( \mathbf{x}_1 \) to find the age distribution vectors \( \mathbf{x}_2 \) and \( \mathbf{x}_3 \). \[ L = \begin{bmatrix} 0 & 3 & 6 \\ 1 & 0 & 0 \\ 0 & \frac{1}{3} & 0 \end{bmatrix}, \quad \mathbf{x}_1 = \begin{bmatrix} 18 \\ 18 \\ 18 \end{bmatrix} \] \[ \mathbf{x}_2 = \begin{bmatrix} \boxed{\phantom{0}} \\ \boxed{\phantom{0}} \\ \boxed{\phantom{0}} \end{bmatrix} \] \[ \mathbf{x}_3 = \begin{bmatrix} \boxed{\phantom{0}} \\ \boxed{\phantom{0}} \\ \boxed{\phantom{0}} \end{bmatrix} \] Then find a stable age distribution vector. \[ \mathbf{x} = t \begin{bmatrix} \boxed{\phantom{0}} \\ \boxed{\phantom{0}} \\ \boxed{\phantom{0}} \end{bmatrix} \] **Explanation of Diagram:** The provided matrix \( L \) is a 3x3 transition matrix used to model changes in age distribution over time. The vector \( \mathbf{x}_1 \) represents the initial age distribution with three equal age cohorts of size 18. The blank vector boxes for \( \mathbf{x}_2 \), \( \mathbf{x}_3 \), and a stable age distribution vector \( \mathbf{x} \), denoted as \( t \times \) the vector, represent places to calculate subsequent age distributions and a stable distribution after sufficient time has passed, presumably by iterating the matrix multiplication.
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