Are Random Walks with Different Step Sizes Identical in Brownian Motion Limit?

In summary, the conversation discusses two random walks with different step sizes and the same mean deviation. The person is curious about whether they would look identical in a Brownian motion type limit. They thank the other person for providing information about Brownian motion and the Wiener process.
  • #1
sjweinberg
6
0
Consider a random walk (in any dimension) with [itex]N[/itex] steps and a step size of 1. Take a real number [itex]\alpha > 0[/itex] and consider another random walk which takes [itex]\alpha^2 N[/itex] steps but wil step size [itex]\frac{1}{\alpha}[/itex].

I immediately noticed that the mean deviation after the full walk in both cases is the same: [itex]\frac{1}{\alpha} \sqrt{\alpha^2 N} = \sqrt{N}[/itex]. However, I'm curious to what extent these two random walks look identical. If were to take a Brownian motion type limit (where N becomes large and the step size 1 is thought of as being small), would the walks look identical?

Thanks in advance to any masters of statistics.
 
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1. What is a random walk?

A random walk is a mathematical model used to describe the movement of a particle or object that has no predetermined direction or pattern. It is a stochastic process where the next step of the object is determined by a random variable, making it unpredictable.

2. What is scale invariance in a random walk?

Scale invariance in a random walk refers to the property that the statistical properties of the walk remain unchanged when the time or space scale is changed. This means that the behavior of a random walk is independent of the time or distance at which it is observed.

3. How is scale invariance measured in a random walk?

Scale invariance in a random walk can be measured using the power law or scaling exponent. This exponent describes the relationship between the size of the step taken in the walk and the number of steps taken. A value of 1 indicates a random walk with no scale invariance, while a value between 0 and 1 indicates scale invariance.

4. What is the significance of scale invariance in a random walk?

Scale invariance is significant in a random walk because it allows for the observation of patterns and properties that are independent of the time or distance scale. This can be useful in understanding the behavior of complex systems and processes, such as financial markets, biological systems, and physical phenomena.

5. How is scale invariance related to fractals?

Scale invariance is closely related to fractals, as both involve self-similarity and the lack of a characteristic length scale. Fractals are mathematical objects that exhibit similar patterns at different scales, while scale invariance in a random walk describes the statistical properties of a process that remain unchanged at different scales. Both concepts are used to analyze and describe complex systems and phenomena.

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