Solution to Random Walk Problem | n_i

  • Thread starter Thread starter arcTomato
  • Start date Start date
  • Tags Tags
    Random Random walk
AI Thread Summary
The discussion centers on understanding the random walk problem, specifically the expression for the root mean square (σ) of the distance from the starting point after multiple trials. Participants clarify that n_i represents the number of steps in the ith trial, and there is confusion about incorporating probabilities into the calculations. The correct formulation involves considering the probabilities of each step's direction and how they affect the overall distance. The conversation emphasizes the need for a clearer expression that includes these probabilities to accurately compute σ. Ultimately, the participants are seeking guidance on how to properly formulate the problem.
arcTomato
Messages
104
Reaction score
27
Homework Statement
Prove that the root mean square deviation for a walk involving the sum of different numbers n of steps of length λ
Relevant Equations
random walk
246472

I don't have any idea to prove this 😢
##n_i##is number of trial, right?
 
Last edited by a moderator:
Physics news on Phys.org
arcTomato said:
##n_i##is number of trial, right?
##n_i## is the number of steps in the ith trial
 
I got it.
So,I think (4-12)means ##σ=Σ_in_iλ_i^2##, but I don't understand what is this 😢
 
arcTomato said:
I got it.
So,I think (4-12)means ##σ=Σ_in_iλ_i^2##, but I don't understand what is this 😢
You need to start from the other end.
You have a random walk in which n1 steps are of length λ1, n2 steps are of length λ2, and so on. I presume you are to take these as all being in the same straight line.
At the end of this walk you are at distance X from where you started. Can you write an expression for σ, the root mean square of X?
 
haruspex said:
Can you write an expression for σ, the root mean square of X?
uhh, I don't know how.
##σ^2=<X^2>=<(n_1λ_1+n_2λ_2+,,,,,n_iλ_i)^2>=<(n_1λ_1)^2>+<(n_2λ_2)^2>+,,,,,,##
like this??
 
arcTomato said:
uhh, I don't know how.
##σ^2=<X^2>=<(n_1λ_1+n_2λ_2+,,,,,n_iλ_i)^2>=<(n_1λ_1)^2>+<(n_2λ_2)^2>+,,,,,,##
like this??
No, you need some probabilities in there. Each step can be either way.
 
probabilities??like this??
246487
 
Back
Top