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L~p-estimates on a ratio involving a Bessel process

机译:L〜p估计涉及贝塞尔过程的比率

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Let Z=(Z_t)_(t ≥ 0) be a Bessel process of dimension δ(δ > 0) starting at zero and let K(t) be a differentiable function on [0, ∞) with K(t) > 0 (any ≥ 0). Then we establish the relationship between L~p-norm of log~(1/2)(1+δJ_τ) and L~p-norm of supZ_t[t+k(t)]~(-1/2) (0 ≤ t ≤ τ) for all stopping times τ and all 0 < p < + ∞. As an interesting example, we show that ‖log~(1/2)(1+δL_(m+1)(τ)) ‖_p and ‖supZ_tΠ[1+L_j(t)]~(-1/2)‖_p (0 ≤ j ≤ m, j ∈ Z; 0 ≤ t ≤ τ) are equivalent with 0 < p< + ∞ for all stopping times rand all integer numbers m, where the function L_m (t) (t ≥ 0) is inductively defined by L_(m+1)(t)=log[1+L_m(t)] with L_0(t)=1.
机译:设Z =(Z_t)_(t≥0)是从零开始的维数δ(δ> 0)的Bessel过程,设K(t)是K(t)> 0的[0,∞)上的可微函数。 (任何≥0)。然后建立log〜(1/2)(1 +δJ_τ)的L〜p范数和supZ_t [t + k(t)]〜(-1/2)的L〜p范数之间的关系(0≤对于所有停止时间τ和所有0 <+∞,t≤τ)。举一个有趣的例子,我们证明“ log〜(1/2)(1 +δL_(m + 1)(τ))” _ p和“supZ_tΠ[1 + L_j(t)]〜(-1/2)” _p(0≤j≤m,j∈Z; 0≤t≤τ)在所有停止时间和所有整数m上都等于0 <+∞,其中函数L_m(t)(t≥0)为由L_(m + 1)(t)= log [1 + L_m(t)]归纳定义为L_0(t)= 1。

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