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Serguei Popov's user avatar
Serguei Popov's user avatar
Serguei Popov's user avatar
Serguei Popov
  • Member for 9 years, 2 months
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Large deviations type results for sum of i.i.d. random functions
@Michael - yes, if $c_k$ are i.i.d.r.v. with exponential tails.
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Large deviations type results for sum of i.i.d. random functions
@Nate Eldredge - not much. $\sum M_k$ just grows linearly with positive speed, and we need to obtain that $\sum f_k$ somehow resembles a sum of 0-mean r.v.'s
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Hitting time of a stochastically continuous process
Sorry, I'm not a specialist in Levy processes :)
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Brownian motion in $n$ dimensions
Don't know if there is a easy connection between them for Bessel processes. Frankly, I doubt one can find it.
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Brownian motion in $n$ dimensions
Do you mean rather $P(\sup_{s\leq t}\|B(s)\|\geq r)$?
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In the plane, does complement of Brownian path have infinitely many connected components?
"I don't see where you used the information about dimension in your argument." - here: "I think it's evident that the Brownian trajectory on the time interval $[0,1]$ intersects itself with positive probability."
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In the plane, does complement of Brownian path have infinitely many connected components?
Douglas Zare, but it's known that a BM's trajectory doesn't hit any fixed point a.s., so the complement is clearly dense in $\mathbb{R}^2$. But I agree that instead of just "intersects itself" better write something like "goes around a small ball".
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In the plane, does complement of Brownian path have infinitely many connected components?
By conformal invariance, this probability must be the same for all intervals (consider the time interval $[0,c]$; then the mapping $z\mapsto z/\sqrt{c}$ sends the trajectory on $[0,c]$ to trajectory on $[0,1]$). I think it's evident that the Brownian trajectory on the time interval $[0,1]$ intersects itself with positive probability.
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