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Chung–Fuchs theorem

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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 X n {\displaystyle X_{n}} : X n = Z 1 + + Z n {\displaystyle X_{n}=Z_{1}+\dots +Z_{n}} where Z 1 , Z 2 , , Z n {\displaystyle Z_{1},Z_{2},\dots ,Z_{n}} are independent m-dimensional vectors with a given multivariate distribution,

then if m = 1 {\displaystyle m=1} , E ( | Z i | ) < {\displaystyle E(|Z_{i}|)<\infty } and E ( Z i ) = 0 {\displaystyle E(Z_{i})=0} , or if m = 2 {\displaystyle m=2} E ( | Z i 2 | ) < {\displaystyle E(|Z_{i}^{2}|)<\infty } and E ( Z i ) = 0 {\displaystyle E(Z_{i})=0} ,

the following holds: ε > 0 , Pr ( n 0 0 , n n 0 , | X n | < ε ) = 1 {\displaystyle \forall \varepsilon >0,\Pr(\forall n_{0}\geq 0,\,\exists n\geq n_{0},\,|X_{n}|<\varepsilon )=1}

However, for m 3 {\displaystyle m\geq 3} , A > 0 , Pr ( n 0 0 , n n 0 , | X n | A ) = 1. {\displaystyle \forall A>0,\Pr(\exists n_{0}\geq 0,\,\forall n\geq n_{0},\,|X_{n}|\geq A)=1.}

References

  • Cox, Miller (1963), The theory of stochastic processes, London: Chapman and Hall Ltd.
  • "On the distribution of values of sums of random variables" Chung, K.L. and Fuchs, W.H.J. Mem. Amer. Math. Soc. 1951 no.6, 12pp
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