Markov transition matrix in canonical form?

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A Markov chain transition matrix in canonical form can be divided into quadrants: a zero matrix, an identity matrix, a transient to absorbing matrix, and a transient to transient matrix. The discussion highlights confusion around how to construct the transient to absorbing and transient to transient matrices, as well as the meaning of rearranging the matrix to place transient states first. An example related to a "drunken problem" was mentioned, but it was already in canonical form, providing no assistance. A suggestion was made to consult standard sources for clarification, which led to one participant resolving their confusion independently. Understanding the canonical form of Markov transition matrices is essential for proper analysis.
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.
 
Question: A clock's minute hand has length 4 and its hour hand has length 3. What is the distance between the tips at the moment when it is increasing most rapidly?(Putnam Exam Question) Answer: Making assumption that both the hands moves at constant angular velocities, the answer is ## \sqrt{7} .## But don't you think this assumption is somewhat doubtful and wrong?

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