Math Problem Statement
please solve this problem correctly
Solution
To solve this problem, we need to construct the matrix based on the probabilities of movement between regions , , , and . This matrix 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 be a matrix, where each entry represents the fraction of residents moving from region to region .
Step 2: Assign movement probabilities to the matrix entries
Each column in 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:
-
Residents in :
- 55% move to .
- 15% move to .
- 25% move to .
- The remaining 5% stay in .
So, the column for in is:
-
Residents in :
- 45% move to .
- 20% move to .
- 15% move to .
- The remaining 20% stay in .
So, the column for in is:
-
Residents in :
- Residents stay in or move to with equal probability, meaning:
- 50% stay in .
- 50% move to .
So, the column for in is:
- Residents stay in or move to with equal probability, meaning:
-
Residents in :
- 65% move to .
- 15% move to .
- 20% stay in .
So, the column for in is:
Step 3: Construct the matrix
Using the above information, we can now write down the full matrix :
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.Ask a new question for Free
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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