Brownian Motion
Brownian motion refers to one-dimensional random motion of a particle that is homogenous in time, homogenous in space, and independent in increments.
This basically means that the particle's motion isn't affected by which direction is which, what time it is, or what it's done previously. So it's sort of like a Too Stupid To Live protagonist. :P
In equations. the random variable X(t,w) giving the probability distribution of the particle being displaced by w units at time t has the following properties:
X(0,w)=0 for all w (the particle has not moved at time 0)
X(t,w)-X(s,w)=X(t-s,w) (the displacement of the particle between time s and time t only depends on the time elapsed between time s and time t)
X(t), X(t+e-t), t(t+e+e2-(t+e)), etc. are all independent variables ( the particle's behavior during at interval of time is not dependent on its behavior during any other period of time)
X is normally distributed with mean 0 and variance t (it goes to the left or right with equal probability, and... I'll get back to you on the variance)
With probability 1, t->X(t,w) is continuous (the particle is not a Portkey, and cannot teleport)
...Don't mind me - just studying . :) (And I said I'd share info with the f-list...)Now, let's just hope I didn't make any typos.
This basically means that the particle's motion isn't affected by which direction is which, what time it is, or what it's done previously. So it's sort of like a Too Stupid To Live protagonist. :P
In equations. the random variable X(t,w) giving the probability distribution of the particle being displaced by w units at time t has the following properties:
X(0,w)=0 for all w (the particle has not moved at time 0)
X(t,w)-X(s,w)=X(t-s,w) (the displacement of the particle between time s and time t only depends on the time elapsed between time s and time t)
X(t), X(t+e-t), t(t+e+e2-(t+e)), etc. are all independent variables ( the particle's behavior during at interval of time is not dependent on its behavior during any other period of time)
X is normally distributed with mean 0 and variance t (it goes to the left or right with equal probability, and... I'll get back to you on the variance)
With probability 1, t->X(t,w) is continuous (the particle is not a Portkey, and cannot teleport)
...Don't mind me - just studying . :) (And I said I'd share info with the f-list...)