Analyzing the Surfing Process: Transition Matrix and Singularity

In summary, the conversation discusses the creation of a transition matrix for a surfing process where surfers have an 80% chance of following links on a page and a 20% chance of jumping to a random page. The attempt at a solution involves creating a 4x4 matrix and finding the eigenvector. However, the matrix is incorrect as each column should sum to 1 and the probabilities for each transition need to be adjusted accordingly.
  • #1
jkeatin
66
0

Homework Statement


p1 goes to p2
p2 goes to p3
p3 goes to p1
p4 goes to p3

Assume that surfers have an 80% chance of following one of the links on the page, and a
20% chance of jumping to a random page.
(a) Write the transition matrix A representing the surfing process.
(b) Is A singular or nonsingular?

Homework Equations





The Attempt at a Solution




i got this matrix

.2 .2 (.2*.8) .2
(.2*.8) .2 .2 .2
.2 (.2*.8) .2 (.2*.8)
.2 .2 .2 .2

then do i just let lamda = 1 and find the eigenvector?
 
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  • #2
Each column should sum to 1, since that's the total probability. They don't, so you need to think more carefully about what the probabilies are for each transition.
 
  • #3
do i divide every entry in the matrix by 1/4th ?
 
  • #4
.2 1/4th
.2 1/4th *.8
1/4th
1/4this that correct for column a?
 

1. What is a transition matrix?

A transition matrix is a mathematical tool used to describe the probabilities of moving between different states or conditions. It is commonly used in various fields such as economics, biology, and computer science to model and analyze dynamic systems.

2. How is a transition matrix written?

A transition matrix is typically written as a square matrix with rows and columns representing the different states. The values in the matrix represent the probabilities of transitioning from one state to another.

3. What is the purpose of a transition matrix?

The main purpose of a transition matrix is to analyze and understand how a system or process changes over time. It can help predict future states and identify key factors that influence the system's behavior.

4. How is a transition matrix different from a Markov chain?

A transition matrix is a type of Markov chain, which is a mathematical model used to describe a sequence of events or states where the probability of transitioning to a new state depends only on the current state. However, a transition matrix specifically refers to the matrix representation of a Markov chain.

5. Can a transition matrix be used in real-world applications?

Yes, transition matrices have many practical applications in various fields such as finance, biology, and computer science. They can be used to model and analyze complex systems and make predictions about future states based on current data.

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