Markov transition matrix in canonical form?

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Homework Help Overview

The discussion revolves around the canonical form of a Markov chain transition matrix, specifically how to structure it into its component quadrants, including zero, identity, transient to absorbing, and transient to transient matrices. Participants express confusion regarding the process of rewriting the transition matrix and the meaning of placing transient states first.

Discussion Character

  • Exploratory, Conceptual clarification, Problem interpretation

Approaches and Questions Raised

  • Participants attempt to understand the structure of the canonical form of a Markov transition matrix and question the steps involved in identifying and arranging the transient and absorbing states. There is a request for simplified guidance or worked examples to clarify the process.

Discussion Status

The discussion includes attempts to clarify the understanding of the canonical form, with some participants suggesting external resources for further reading. There is a mix of confusion and emerging understanding, as one participant reports resolving their issue independently.

Contextual Notes

Participants note the challenge of finding examples that are not already in canonical form, which complicates their understanding of the topic. There is also mention of a specific example that may not align with the original poster's needs.

cdotter
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As I understand, a Markov chain transition matrix rewritten in its canonical form is a large matrix that can be separated into quadrants: a zero matrix, an identity matrix, a transient to absorbing matrix, and a transient to transient matrix.

The zero matrix and identity matrix parts are easy enough, but I have no idea how to write transient to absorbing or transient to transient matrix. I've also found other sources that tell me to "rewrite the transition matrix so the transient states come first." I have no idea what this means.

I have also found an example, the drunken something or other problem, but the transition matrix is already written in its canonical form. This doesn't help me at all.

Could someone give me a dumbed down step-by-step guide, or maybe a worked example?
 
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cdotter said:
As I understand, a Markov chain transition matrix rewritten in its canonical form is a large matrix that can be separated into quadrants: a zero matrix, an identity matrix, a transient to absorbing matrix, and a transient to transient matrix.

The zero matrix and identity matrix parts are easy enough, but I have no idea how to write transient to absorbing or transient to transient matrix. I've also found other sources that tell me to "rewrite the transition matrix so the transient states come first." I have no idea what this means.

I have also found an example, the drunken something or other problem, but the transition matrix is already written in its canonical form. This doesn't help me at all.

Could someone give me a dumbed down step-by-step guide, or maybe a worked example?

Your understanding seems faulty; there are many transition matrices that do not fit the pattern you describe. Why not read some standard sources, such as: http://www.cs.virginia.edu/~gfx/courses/2006/DataDriven/bib/texsyn/Chapter11.pdf ? This has numerous examples and has most of what you say you want.

RGV
 
Nevermind, I figured it out. :)

http://www.aw-bc.com/greenwell/markov.pdf Example 7
 
I didn't see your post before hitting reply. Thank you, I'll check that out as well.
 

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