Linear Algebra-Markov's Processes

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Homework Help Overview

The discussion revolves around Markov Processes as part of a linear algebra course. Participants are exploring the correct formulation of transition matrices and the interpretation of results related to a problem involving commuter statistics.

Discussion Character

  • Conceptual clarification, Assumption checking, Mixed

Approaches and Questions Raised

  • The original poster attempts to apply a transition matrix to calculate the future state of commuters using mass transit. They express uncertainty about the interpretation of a non-integer result. Other participants question the convention of using column sums versus row sums in the transition matrix, leading to discussions about differing practices in various educational contexts.

Discussion Status

Participants are actively engaging in clarifying the conventions used in Markov Processes. There is a recognition of differing approaches to representing transition matrices, but no consensus has been reached regarding the correct method for this specific problem.

Contextual Notes

There is mention of instructional guidance that may differ between courses, as well as references to external resources that support various conventions in representing Markov matrices.

charlies1902
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Is anyone on here familiar with Markov Processes?

We're learning about this in linear algebra and I am unsure whether I'm doing this problem right. I attached the problem.

for part a) my matrix is a 2x2 T=
.7 .2
.3 .8

part b)
for 2 years I multiply T^2 * V
where V=[.35 .65]^t
This yields [.3875 .6125]^t
So the # of commuters using mass transit is .3875?


Did I do this problem right? It seems weird to be talking about the "# of commuters" as anything but a whole #.
 

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charlies1902 said:
Is anyone on here familiar with Markov Processes?

We're learning about this in linear algebra and I am unsure whether I'm doing this problem right. I attached the problem.

for part a) my matrix is a 2x2 T=
.7 .2
.3 .8

part b)
for 2 years I multiply T^2 * V
where V=[.35 .65]^t
This yields [.3875 .6125]^t
So the # of commuters using mass transit is .3875?

Did I do this problem right? It seems weird to be talking about the "# of commuters" as anything but a whole #.

Why do you represent the matrix with columns summing to 1? Almost all treatments of Markov processes (at least in probability applications) have the rows summing to 1, so they would use the matrix
[tex]\pmatrix{.7 & .3\\.2 & .8}[/tex]

Anyway, the elements of V represent "fractions", so 0.3875 means that 38.75% of commuters use mass transit.

RGV
 
Really? We were instructed in class that the sum of each column should add up to one. THe solutions for some of the problems from the book add up to 1 as well. Maybe it is different for lienar algebra?
 
charlies1902 said:
Really? We were instructed in class that the sum of each column should add up to one. THe solutions for some of the problems from the book add up to 1 as well. Maybe it is different for lienar algebra?

Yes, really. See, eg., http://www.ams.org/bookstore/pspdf/mbk-58-prev.pdf or
http://www.classes.cs.uchicago.edu/archive/2005/fall/27100-1/Markov.pdf or
http://people.brandeis.edu/~igusa/Math56aS08/Math56a_S08_notes011.pdf or
http://www.aw-bc.com/greenwell/markov.pdf .

Some other web pages use the column-sums = 1 convention, but the majority use the row-sums=1. I think that the column-sum = 1 convention is more common in Asia than in North America or Europe.

Basically, though, you should use whatever convention your course instructor uses.

RGV
 

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