The basic concept of branching process

In summary, the question of whether a process is a branching process or a Markov process depends heavily on the definitions and assumptions made about the parts and behaviors of the process. In the example given, the situation of email forwarding may not fit the mathematical definitions of a branching process, but it is possible that with different definitions and assumptions, it could be considered one. It is important to consider and clearly define these aspects before determining whether a process can be classified as a branching or Markov process.
  • #1
albertshx
13
0
Dear all,
I have a question on the basic concept of branching process.
Say, in such a process, different objects of a generation don't
interfere with each other.
Consider an email forwarding analogy where one node forwards an email
to some other users. And those users will continue forwarding
the email to others...thus forming a cascade. However, it's
possible that different nodes may forward the email to one same node.
In this sense, is the process a branching process?

Thank you a lot.
 
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  • #2
Albertshx said:
In this sense, is the process a branching process?

If you take a situation in the real world and ask a question like "Is this a branching process?" or "Is this a Markov process?", you aren't really asking a question that has an objective answer.

The mathematical definitions of stochastic processes say that these processes have certain parts such as "states", "individuals", "descendants" etc. Until you say what things in the real world correspond these parts, then it is impossible to evaluate whether the situation in the real world satisfies the required mathematical assumptions of the process.

You didn't specify such definitions. When you say "in this sense", the phrase is ambiguous. If we ask a general question like "Is this, in some sense" a branching process?" or "Is this, in some sense, a Markov process?" then we allow the answerer complete freedom as to how he defines parts of the process such as "individuals" and "descendants". For example, in the case of email forwarding, you might be thinking of an "individual" as an email message forwarded from person A to person B. However, there is no law of mathematics that says that we must define an "individual" in this manner, so perhaps clever and devious people looking at the same situation might come up with different and more complicated definitions of "individual".

If we take "individual" to mean an email message forwarded from person A to person B then we still have the problem of defining a "descendant". For example, we could assume a simple model where no two emails arrive at the same time and person A always does his forwarding of messages in response to the first copy of a message he recieves. Then we could define the copy he forwards is a "descendant" of the first copy he got and not of the subsequent copies.

In my opinion, in the way the average person would define things, the example of email forwarding is not a branching process. However, I wouldn't put limits on human ingenuity by saying that no way exists to look at it as a branching process.
 

1. What is a branching process?

A branching process is a mathematical model used to describe the evolution of a population over time. It consists of a series of generations, where each individual in a generation has a certain number of offspring in the next generation. This process can be used to study various real-world phenomena, such as the spread of diseases or the growth of a family tree.

2. How does a branching process work?

In a branching process, the number of offspring each individual has is determined by a probability distribution. This distribution can be either discrete or continuous, and it describes the likelihood of having a certain number of offspring. The process continues for multiple generations, with the number of individuals in each generation depending on the number of offspring in the previous generation.

3. What are the key assumptions of a branching process?

There are three key assumptions of a branching process: 1) the number of offspring for each individual is independent of other individuals, 2) the number of offspring follows a specified probability distribution, and 3) the process continues indefinitely. These assumptions allow for a simplified model that can be used to make predictions about population growth or decline.

4. How is a branching process different from a Markov process?

While both a branching process and a Markov process are mathematical models used to study the evolution of a system over time, there are a few key differences between the two. A Markov process is a stochastic process where the future state of the system depends only on the current state, while a branching process considers the number of offspring in each generation. Additionally, a Markov process can have multiple possible outcomes, while a branching process typically has only two outcomes: extinction or survival.

5. What are some real-world applications of a branching process?

A branching process can be applied to a variety of real-world phenomena, including the spread of diseases, the growth of a family tree, and the evolution of species. It can also be used in finance to model stock prices or in marketing to predict the success of a new product. Additionally, branching processes have been used in computer science to model the behavior of computer networks and social networks.

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