What Is the Probability of a Drunk Returning to the Lamppost?

In summary: What is it? The formula is weird and not well defined.In summary, the conversation discusses the probability of a drunk person ending up back at a lamppost after taking a certain number of steps. The formula PN(a) = ( N! p (N+m)/2 q(N-m)/2 ) / [{(N+m)/2}! {(N-m)/2}!] is used to calculate this probability, but it is unclear what the variables represent. It is concluded that when the number of steps is odd, the drunk person will not end up back at the lamppost. It is suggested to define m as the number of steps taken to the right in order to simplify the formula.
  • #1
FourierX
73
0

Homework Statement



Say a drunk starts making his steps of equal distance from a lamppost. Assuming that each of the steps are of equal distance, and N as the total number of steps, what is the probability of him/her ending at the lamppost? Find the probability when N is even and also for odd.



Homework Equations



PN(a) = ( N! p (N+m)/2 q(N-m)/2 ) / [{(N+m)/2}! {(N-m)/2}!]

whree,
a = integer
p = probability of drunk being in the right side of the lamppost
q = probability of drunk being in the left side of the lamppost

The Attempt at a Solution



Derivation of the equation is quite straightforward. I am worried about my answer for this particular problem however. Since the drunk starts from the lamppost (x=0), when the N is even, he can land back to the lamppost. However, if N is odd, he can not land back at 0 (as he/she has to land back to an odd number). I do not know if my understanding is correct. Any clue ?

Berkeley
 
Physics news on Phys.org
  • #2
I have no idea what this PN(a) = ( N! p (N+m)/2 q(N-m)/2 ) / [{(N+m)/2}! {(N-m)/2}!] is. But you are correct about the odd ones, after odd amount of steps he can only be at an odd integer. Thus the lesson to be learned is when you are drunk always walk an odd number of steps.
 
  • #3
"Thus the lesson to be learned is when you are drunk always walk an odd number of steps. "

Did you miss ODD in the sentence?

Are you saying that when you start from odd point, you end of up at and when you start from even, you end up at even? If so, yeah the formula says so.
 
  • #4
Sure. Odd will never get you back where you started. But you never defined what m is. Why not define m to be the number of steps taken to the right? Then you only get back where you started if the number of steps to the left is also m. So N=2m. Get rid of some of those strange expressions like (N+m)/2.
 

FAQ: What Is the Probability of a Drunk Returning to the Lamppost?

What is a Random Walk (Drunk Instance)?

A Random Walk (Drunk Instance) is a mathematical model that describes the path of a random object as it moves around in a space. It is often used to model the behavior of a drunk person as they stumble and change direction randomly.

How is a Random Walk (Drunk Instance) different from a regular Random Walk?

A Random Walk (Drunk Instance) is different from a regular Random Walk because it includes an element of randomness in the direction and distance of each step, whereas a regular Random Walk has predetermined step sizes and directions.

What is the significance of a Random Walk (Drunk Instance) in science?

Random Walk (Drunk Instance) has important applications in various scientific fields, such as physics, biology, and finance. It is used to model the behavior of particles, molecules, and financial markets, and can provide insight into complex systems and processes.

What are some examples of real-life Random Walk (Drunk Instance) processes?

Some examples of real-life Random Walk (Drunk Instance) processes include the movement of molecules in a liquid, the behavior of stock prices in financial markets, and the movement of animals foraging for food.

What are some limitations of the Random Walk (Drunk Instance) model?

The Random Walk (Drunk Instance) model has some limitations, such as assuming that each step is independent of the previous one, which may not be true in some real-life scenarios. It also does not take into account environmental factors and obstacles that may influence the path of the random object.

Back
Top