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Let $W_t$ be a brownian motion. Show that the set $S=\{t: W_t=0 \}$ is unbounded with probability one.

My attempt: Suppose that there is a set $A$ with positive measure such that $S$ is bounded. We know that brownian motion is a strong markov process so I'd assume we try to make some sort of stopping time to help us. For example, $\sup\{t: W_t=0\}$.

RobPratt
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1 Answers1

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Suppose that's not true. We will have there exists $s>0$, such that with positive probability, $W_t$ won't hit zero after time $t=s$, i.e., $$\mathbb{P}^0(W_t\neq 0 \text{ for any }t\ge s)>0.$$ Note that using simple Markov property, the left hand side equals $$\mathbb{E}^{0}(\mathbb{P}^{W_s}(W_t\neq 0 \text{ for any }t\ge 0)).$$ Now for any $x$, (for simplicity we assume $x>0$) $$\mathbb{P}^{x}(W_t\neq 0 \text{ for any }t\ge 0)=\lim_{M\uparrow \infty}\mathbb{P}^{x}(\text{hit }M\text{ before hit }0)=\lim_{M\uparrow \infty}\frac{x}{M}=0.$$ Hence $$\mathbb{P}^0(W_t\neq 0 \text{ for any }t\ge s)=\mathbb{E}^{0}(\mathbb{P}^{W_s}(W_t\neq 0 \text{ for any }t\ge 0))=0,$$ which leads to a contradiction.