In mathematics, the Chung–Fuchs theorem, named after Chung Kai-lai and Wolfgang Heinrich Johannes Fuchs, states that for a particle undergoing a zero-mean random walk in m-dimensions, it is certain to come back infinitely often to any neighborhood of the origin on a one-dimensional line (m = 1) or two-dimensional plane (m = 2), but in three or more dimensional spaces it will leave to infinity.
Specifically, if a position of the particle is described by the vector
n
{\displaystyle X_{n}}
:
n
=
n
1
2
, … ,
are independent m-dimensional vectors with a given multivariate distribution, then if
, the following holds:
∀ ε > 0 , Pr ( ∀
< ε ) = 1
> 0 , Pr ( ∃