Math Problem Statement

please solve this problem correctly

A country is divided into four regions (A, B, C, and D). It is found that each year 55% of the residents in A move to B, 15% move to C, and 25% move to D. Of the residents in B, 45% move to C, 20% move to D, and 15% move to A, while the remaining 20% stay in B. The residents of C will either stay where they are or move to A with equal probability. Of the residents in D, 65% move to A, 15% move to C, and 20% stay in D. Model this system with matrix M where x_k+1 = Mx_k.

Solution

To solve this problem, we need to construct the matrix MM based on the probabilities of movement between regions AA, BB, CC, and DD. This matrix MM will describe how the population in each region changes each year. Here's a step-by-step approach:

Step 1: Define the matrix structure

Let MM be a 4×44 \times 4 matrix, where each entry MijM_{ij} represents the fraction of residents moving from region jj to region ii.

Step 2: Assign movement probabilities to the matrix entries

Each column in MM corresponds to a region where people are moving from, and each row corresponds to a region where people are moving to. Let’s analyze the movements:

  1. Residents in AA:

    • 55% move to BB.
    • 15% move to CC.
    • 25% move to DD.
    • The remaining 5% stay in AA.

    So, the column for AA in MM is: MA=[0.050.550.150.25]M_{\cdot A} = \begin{bmatrix} 0.05 \\ 0.55 \\ 0.15 \\ 0.25 \end{bmatrix}

  2. Residents in BB:

    • 45% move to CC.
    • 20% move to DD.
    • 15% move to AA.
    • The remaining 20% stay in BB.

    So, the column for BB in MM is: MB=[0.150.200.450.20]M_{\cdot B} = \begin{bmatrix} 0.15 \\ 0.20 \\ 0.45 \\ 0.20 \end{bmatrix}

  3. Residents in CC:

    • Residents stay in CC or move to AA with equal probability, meaning:
      • 50% stay in CC.
      • 50% move to AA.

    So, the column for CC in MM is: MC=[0.5000.500]M_{\cdot C} = \begin{bmatrix} 0.50 \\ 0 \\ 0.50 \\ 0 \end{bmatrix}

  4. Residents in DD:

    • 65% move to AA.
    • 15% move to CC.
    • 20% stay in DD.

    So, the column for DD in MM is: MD=[0.6500.150.20]M_{\cdot D} = \begin{bmatrix} 0.65 \\ 0 \\ 0.15 \\ 0.20 \end{bmatrix}

Step 3: Construct the matrix MM

Using the above information, we can now write down the full matrix MM:

0.05 & 0.15 & 0.50 & 0.65 \\ 0.55 & 0.20 & 0 & 0 \\ 0.15 & 0.45 & 0.50 & 0.15 \\ 0.25 & 0.20 & 0 & 0.20 \end{bmatrix}$$ ### Final Answer The matrix $$M$$ is: $$M = \begin{bmatrix} 0.05 & 0.15 & 0.50 & 0.65 \\ 0.55 & 0.20 & 0 & 0 \\ 0.15 & 0.45 & 0.50 & 0.15 \\ 0.25 & 0.20 & 0 & 0.20 \end{bmatrix}$$ Would you like more details on how to interpret or use this matrix? --- Here are 5 related questions to deepen your understanding: 1. What happens to the population distribution over time if we start with an initial distribution? 2. How would we determine the steady-state distribution of the population across regions? 3. How would the matrix change if the movement probabilities were adjusted? 4. What does it mean if all rows of the matrix sum to 1? 5. How could we use this matrix to model changes in population distribution over multiple years? **Tip:** To determine if a population distribution reaches a stable state, look for an eigenvector of $$M$$ with eigenvalue 1, as this represents the steady-state distribution.

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Math Problem Analysis

Mathematical Concepts

Matrix Multiplication
Probability Matrices
Population Dynamics

Formulas

Transition matrix formula for population dynamics
Population distribution formula: x_k+1 = M * x_k

Theorems

Markov Chain Theory (for transition matrices)

Suitable Grade Level

College Level