Steady state transition matrix

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SUMMARY

The discussion focuses on the concept of a steady state transition matrix in the context of voter dynamics between two political parties, D and R. The transition matrix T is defined as T = < (3/4, 1/3), (1/4, 2/3) >, which represents the proportions of voters switching parties each year. The steady state is characterized by the eigenvalue of 1, indicating that the steady-state vector remains unchanged by the application of the transition matrix. This analysis is crucial for understanding voter behavior over time.

PREREQUISITES
  • Understanding of transition matrices in Markov processes
  • Familiarity with eigenvalues and eigenvectors
  • Basic knowledge of linear algebra
  • Concept of steady-state in dynamic systems
NEXT STEPS
  • Study Markov chains and their applications in social sciences
  • Learn how to compute eigenvalues and eigenvectors using tools like MATLAB or Python's NumPy
  • Explore the implications of steady-state analysis in various fields, such as economics and population dynamics
  • Investigate real-world examples of transition matrices in political science
USEFUL FOR

Students preparing for exams in mathematics or social sciences, researchers in political science, and anyone interested in the dynamics of voter behavior and transition matrices.

Elpmek
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Ok, I'm lost. I've an exam coming up so could so with a speedy reply.

This whole transition matrix stuff is not explained at all in our lecture notes. Here's an example question:

"Suppose that a country has a fixed number of voters, all of whom vote for
either party D or party R. Every year, 1/4 of D voters change to party R and 1/3 of R voters switch to party D. Let xn and yn represent the proportions of
D and R voters respectively after n years (so that xn + yn = 1).
(a) Find the transition matrix T for this process.
(b)Explain the term ”steady state”, and find the steady state in this problem.
(c)Show that xn and yn tend to the steady state values as n goes to infinite, regardless
of the values of x0 and y0."

I don't even know what the matrix is suppose to look like...
 
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The matrix is will have: (3/4 1/3) on the top row and (1/4 2/3) on the bottom row. Do you see why? If you multiply this by the vector (D, R) you get the specified voter switches.

Usually when you are asked to find a steady-state vector one of the eigenvalues of the matrix will be 1, and you need to find the eigenvector corresponding to this eigenvalue. The reason this is called a "steady-state" vector is that the transition matrix does not change it.
 

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