Let B be a Brownian motion. For every $K>0$, we have
$$
P[\inf \left \{ t>0: B_t\geq K t^{1/2} \right \} =0]=1 \quad\quad\quad(1)
$$
To prove this in Example 21.16 of Probability Theory (3rd version) A. Klenke defines $A_s:=\bigl\{\inf \left\{t>0: B_t\geq Kt^{1/2}\right\}\leq s\bigr\}$ and $A:=\bigl\{\inf \left\{t>0: B_t\geq Kt^{1/2}\right\}=0\bigr\}$ and, using the Blumenthal's 0-1 law, concludes that:
$$
P[A]=\inf_{s>0} P[A_s]\geq P[B_1\geq K]>0
$$
My questions:
- Why is $\inf_{s>0} P[A_s]\geq P[B_1\geq K]$?
- In a remark, the author states that this whole example shows that, for every $t\geq0$, almost surely $B$ is not Holder-$\frac{1}{2}$-continuos at $t$. How can I see it? I really struggle at this.
- How can I interpret (1)?
Please, let me know if more context is needed. Thanks for the help.
Best Answer