Ehrenfest chain transition probability

In summary, the Ehrenfest Chain can be proved using induction. The statement is assumed to be true for some number n and then shown to be true for n+1. This is done by showing that the chain has 2^(n+1) black and 2^(n+1) white beads after n+1 steps. By the inductive hypothesis, we know that the chain has 2^n black and 2^n white beads after n steps, and each step increases the number of black beads by 1 and decreases the number of white beads by 1. Therefore, by induction, it can be proven that the chain has 2^n black and 2^n white beads after n steps, for all n ≥
  • #1
shahawn11
2
0
Homework Statement
I must show that un+1 = 1 + (1-2/N)un and use that to prove another equation to be true. Lastly I must use the result from problem 2 to solve problem 3.
Relevant Equations
Relevant equations are posted in image below
Exam 1 Problem 4.PNG

Here is the Ehrenfest Chain that the question is talking about:

Example 1.2 1.PNG

Example 1.2 2.PNG


I was able to solve parts 1 and 2 as shown in the image below. But I'm not really sure how I'd prove part three. Any help would be appreciated, thanks!

answer 1.PNG

answer 2.PNG

answer 3.PNG
 
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  • #2
Part 3 can be proved by induction. We will assume that the statement is true for some number n and show that it is true for n+1. Let E(n) be the statement that the Ehrenfest chain has 2^n black and 2^n white beads after n steps. The base case (n=1) is true since the Ehrenfest chain starts with 1 black and 1 white bead. Now assume that E(n) is true for some number n. To prove that E(n+1) is true, we need to show that the Ehrenfest chain has 2^(n+1) black and 2^(n+1) white beads after n+1 steps. By the inductive hypothesis, we know that the Ehrenfest chain has 2^n black and 2^n white beads after n steps. Furthermore, each step of the Ehrenfest chain increases the number of black beads by 1 and decreases the number of white beads by 1. Thus, after n+1 steps, the Ehrenfest chain has 2^n + 1 black beads and 2^n - 1 white beads. But since 2^n + 1 = 2^(n+1) and 2^n - 1 = 2^(n+1)-2, this means that the Ehrenfest chain has 2^(n+1) black and 2^(n+1) white beads after n+1 steps, which is what we wanted to show. Thus, by induction, we have shown that the Ehrenfest chain has 2^n black and 2^n white beads after n steps, for all n ≥ 1.
 

1. What is the Ehrenfest chain transition probability?

The Ehrenfest chain transition probability is a mathematical concept that describes the likelihood of a system transitioning from one state to another in a discrete time interval. It is often used to model the behavior of a system with two or more states, such as the movement of particles or the evolution of a biological population.

2. How is the Ehrenfest chain transition probability calculated?

The Ehrenfest chain transition probability is calculated by dividing the number of transitions from one state to another by the total number of possible transitions. This can be represented by the formula Pij = Nij/Ni, where Pij is the transition probability from state i to state j, Nij is the number of transitions from state i to state j, and Ni is the total number of transitions starting from state i.

3. What is the significance of the Ehrenfest chain transition probability in science?

The Ehrenfest chain transition probability is significant in science because it allows for the prediction and analysis of the behavior of complex systems. It is used in a variety of fields, including physics, chemistry, biology, and economics, to understand how systems change over time and to make predictions about future states.

4. How does the Ehrenfest chain transition probability relate to other concepts in probability theory?

The Ehrenfest chain transition probability is closely related to other concepts in probability theory, such as Markov chains and stochastic processes. It is also used in conjunction with other mathematical models, such as the Poisson distribution and the binomial distribution, to describe the behavior of systems with multiple states and transitions.

5. What are some real-world applications of the Ehrenfest chain transition probability?

The Ehrenfest chain transition probability has many real-world applications, including modeling the spread of diseases, predicting stock market fluctuations, and understanding the behavior of chemical reactions. It is also used in computer science for tasks such as data compression and error correction, as well as in machine learning algorithms for pattern recognition and prediction.

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