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A universal robust limit theorem for nonlinear Lévy processes under sublinear expectation 次线性期望下非线性lsamvy过程的一个通用鲁棒极限定理
2区 数学 Q3 STATISTICS & PROBABILITY Pub Date : 2023-01-01 DOI: 10.3934/puqr.2023001
Mingshang Hu, Lianzi Jiang, Gechun Liang, Shige Peng
This article establishes a universal robust limit theorem under a sublinear expectation framework. Under moment and consistency conditions, we show that, for$ alpha in(1,2) $, the i.i.d. sequence $ left{ {left( {dfrac{1}{{sqrt n }} displaystylesumlimits_{i = 1}^n {{X_i}} ,dfrac{1}{n} displaystylesumlimits_{i = 1}^n {{Y_i}} ,dfrac{1}{{sqrt[alpha ]{n}}} displaystylesumlimits_{i = 1}^n {{Z_i}} } right)} right}_{n = 1}^infty  $converges in distribution to$ tilde{L}_{1} $, where$ tilde{L}_{t}=(tilde {xi}_{t},tilde{eta}_{t},tilde{zeta}_{t}) $,$ tin lbrack0,1] $, is a multidimensional nonlinear Lévy process with an uncertainty set$ Theta $as a set of Lévy triplets. This nonlinear Lévy process is characterized by a fully nonlinear and possibly degenerate partial integro-differential equation (PIDE) $begin{aligned}[b]left { begin{array}  {l}   partial_{t}u(t,x,y,z)-sup limits_{(F_{mu},q,Q)in Theta }left {   displaystyleint_{mathbb{R}^{d}}delta_{lambda}u(t,x,y,z)F_{mu} ({rm{d}}lambda)right.   qquadleft.  +langle D_{y}u(t,x,y,z),qrangle+dfrac{1}{2}tr[D_{x}^{2}u(t,x,y,z)Q]right }  =0,   u(0,x,y,z)=phi(x,y,z),quad  forall(t,x,y,z)in lbrack 0,1]times mathbb{R}^{3d}, end{array} right.end{aligned}$with$ delta_{lambda}u(t,x,y,z):=u(t,x,y,z+lambda)-u(t,x,y,z)-langle D_{z}u(t,x,y,z),lambda rangle $. To construct the limit process$ (tilde {L}_{t})_{tin lbrack0,1]} $, we develop a novel weak convergence approach based on the notions of tightness and weak compactness on a sublinear expectation space. We further prove a new type of Lévy-Khintchine representation formula to characterize$ (tilde{L}_{t})_{tin lbrack0,1]} $. As a byproduct, we also provide a probabilistic approach to prove the existence of the above fully nonlinear degenerate PIDE.
本文建立了次线性期望框架下的一个通用鲁棒极限定理。在矩和一致性条件下,我们证明了,对于$ alpha in(1,2) $, i.i.d序列$ left{ {left( {dfrac{1}{{sqrt n }} displaystylesumlimits_{i = 1}^n {{X_i}} ,dfrac{1}{n} displaystylesumlimits_{i = 1}^n {{Y_i}} ,dfrac{1}{{sqrt[alpha ]{n}}} displaystylesumlimits_{i = 1}^n {{Z_i}} } right)} right}_{n = 1}^infty  $在分布上收敛于$ tilde{L}_{1} $,其中$ tilde{L}_{t}=(tilde {xi}_{t},tilde{eta}_{t},tilde{zeta}_{t}) $, $ tin lbrack0,1] $是一个多维非线性的lsamuvy过程,其中不确定性集$ Theta $是一组lsamuvy三元组。这种非线性lsamvy过程的特征是一个带有$ delta_{lambda}u(t,x,y,z):=u(t,x,y,z+lambda)-u(t,x,y,z)-langle D_{z}u(t,x,y,z),lambda rangle $的完全非线性的可能退化的偏积分微分方程(PIDE) $begin{aligned}[b]left { begin{array}  {l}   partial_{t}u(t,x,y,z)-sup limits_{(F_{mu},q,Q)in Theta }left {   displaystyleint_{mathbb{R}^{d}}delta_{lambda}u(t,x,y,z)F_{mu} ({rm{d}}lambda)right.   qquadleft.  +langle D_{y}u(t,x,y,z),qrangle+dfrac{1}{2}tr[D_{x}^{2}u(t,x,y,z)Q]right }  =0,   u(0,x,y,z)=phi(x,y,z),quad  forall(t,x,y,z)in lbrack 0,1]times mathbb{R}^{3d}, end{array} right.end{aligned}$。为了构造极限过程$ (tilde {L}_{t})_{tin lbrack0,1]} $,我们在次线性期望空间上基于紧性和弱紧性的概念提出了一种新的弱收敛方法。我们进一步证明了一种新的l - khintchine表示公式来表征$ (tilde{L}_{t})_{tin lbrack0,1]} $。作为一个副产品,我们还提供了一个概率方法来证明上述完全非线性退化PIDE的存在性。
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引用次数: 1
Now decision theory 现在是决策理论
2区 数学 Q3 STATISTICS & PROBABILITY Pub Date : 2023-01-01 DOI: 10.3934/puqr.2023018
Dilip B. Madan, Wim Schoutens, King Wang
The spirit of now in nowcasting suggests expanding the current to include the near future. Decision theory is then developed by incorporating the consequences of actions into the present. With the future falling into the present discounting it is no longer permitted. Value functions are then observed to be determinate only up to scale and shift that are then locked down by fixing values arbitrarily in two selected states, much like declaring water to freeze and boil at zero and a hundred degrees celsius. The locked down value functions associated policy functions are seen to exist in decision contexts in where the only time is now. Examples are studied in univariate and multivariate dimensions for the decision state space and the dimension of shocks delivering state transitions. The policy functions are expanded from realisitic training sets to the full state space using Gaussian Process Regression. They are implemented on real data with reported performances.
临近预测中的现在精神建议将当前扩展到包括不久的将来。决策理论是通过将行动的后果纳入现在而发展起来的。随着未来落入现在的折扣,它不再被允许。然后,我们观察到,价值函数只能根据规模和位移来确定,然后通过在两种选定的状态下任意固定值来锁定它们,就像宣布水在0摄氏度和100摄氏度下冻结和沸腾一样。与策略函数相关的锁定值函数被视为存在于决策上下文中,其中唯一的时间是现在。在单变量和多变量维度上研究了决策状态空间和传递状态转换的冲击维度的例子。利用高斯过程回归将策略函数从实际训练集扩展到全状态空间。它们在具有报告性能的真实数据上实现。
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引用次数: 0
A strong law of large numbers under sublinear expectations 在次线性期望下的大数定律
2区 数学 Q3 STATISTICS & PROBABILITY Pub Date : 2023-01-01 DOI: 10.3934/puqr.2023015
Yongsheng Song
We consider a sequence of independent and identically distributed (i.i.d.) random variables $ {xi_k} $under a sublinear expectation $ mathbb{E} = sup_{PinTheta}E_P $. We first give a new proof to the fact that, under each $ PinTheta $, any cluster point of the empirical averages $ bar{xi}_n = (xi_1+cdots+xi_n)/n $ lies in $ [underline{mu}, overline{mu}] $ with $ underline{mu} = -mathbb{E}[-xi_1], overline{mu} = mathbb{E}[xi_1] $. Next, we consider sublinear expectations on a Polish space $ Omega $, and show that for each constant $ muin [underline{mu},overline{mu}] $, there exists a probability $ P_{mu}inTheta $ such that$ limlimits_{nrightarrow infty}bar{xi}_n = mu, ; P_{mu}text{-a.s.}, $(0.1) supposing that $ Theta $ is weakly compact and $ {xi_n}in L^1_{mathbb{E}}(Omega) $. Under the same conditions, we obtain a generalization of (0.1) in the product space $ Omega = mathbb{R}^{mathbb{N}} $ with $ muin [underline{mu},overline{mu}] $ replaced by $ Pi = pi(xi_1, cdots,xi_d)in [underline{mu},overline{mu}] $. Here $ pi $ is a Borel measurable function on $ mathbb{R}^d $, $ dinmathbb{N} $. Finally, we characterize the triviality of the tail $ sigma $ -algebra of the i.i.d. random variables under a sublinear expectation.
我们考虑在次线性期望$ mathbb{E} = sup_{PinTheta}E_P $下的独立和同分布(i.i.d)随机变量序列$ {xi_k} $。我们首先给出了一个新的证明,即在每个$ PinTheta $下,经验平均值$ bar{xi}_n = (xi_1+cdots+xi_n)/n $的任何聚类点都位于$ [underline{mu}, overline{mu}] $与$ underline{mu} = -mathbb{E}[-xi_1], overline{mu} = mathbb{E}[xi_1] $之间。接下来,我们考虑波兰空间$ Omega $上的次线性期望,并证明对于每个常数$ muin [underline{mu},overline{mu}] $,存在一个概率$ P_{mu}inTheta $,使得$ limlimits_{nrightarrow infty}bar{xi}_n = mu, ; P_{mu}text{-a.s.}, $(0.1)假设$ Theta $弱紧且$ {xi_n}in L^1_{mathbb{E}}(Omega) $。在相同的条件下,我们得到了(0.1)在积空间$ Omega = mathbb{R}^{mathbb{N}} $中的概化,将$ muin [underline{mu},overline{mu}] $替换为$ Pi = pi(xi_1, cdots,xi_d)in [underline{mu},overline{mu}] $。这里$ pi $是$ mathbb{R}^d $, $ dinmathbb{N} $上的Borel可测量函数。最后,我们描述了尾的平凡性$ sigma $ -在次线性期望下i.i.d随机变量的代数。
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引用次数: 0
Mean-field stochastic differential equations with a discontinuous diffusion coefficient 具有不连续扩散系数的平均场随机微分方程
2区 数学 Q3 STATISTICS & PROBABILITY Pub Date : 2023-01-01 DOI: 10.3934/puqr.2023016
Jani Nykänen
We study $ {mathbb{R}}^d $ -valued mean-field stochastic differential equations with a diffusion coefficient that varies in a discontinuous manner on the $ L_p $ -norm of the process. We establish the existence of a unique global strong solution in the presence of a robust drift, while also investigating scenarios where the presence of a global solution is not assured.
我们研究了$ {mathbb{R}}^d $值的平均场随机微分方程,该方程的扩散系数在过程的$ L_p $范数上以不连续的方式变化。在鲁棒漂移存在的情况下,我们建立了唯一的全局强解的存在性,同时也研究了全局解存在不确定的情况。
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引用次数: 0
Mean-field BSDEs with jumps and dual representation for global risk measures 具有跳跃和对偶表示的全局风险度量的平均域BSDEs
IF 1.5 2区 数学 Q3 STATISTICS & PROBABILITY Pub Date : 2023-01-01 DOI: 10.3934/puqr.2023002
Rui Chen, Roxana Dumitrescu, Andreea Minca, A. Sulem
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引用次数: 0
Optimal consumption–investment under partial information in conditionally log-Gaussian models 部分信息下条件对数高斯模型的最优消费-投资
IF 1.5 2区 数学 Q3 STATISTICS & PROBABILITY Pub Date : 2023-01-01 DOI: 10.3934/puqr.2023005
H. Nagai
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引用次数: 0
Representation theorem and viability property for multidimensional BSDEs and their applications 多维BSDEs的表示定理、生存性及其应用
2区 数学 Q3 STATISTICS & PROBABILITY Pub Date : 2023-01-01 DOI: 10.3934/puqr.2023017
Xuejun Shi, Long Jiang
The representation theorem and the viability property for backward stochastic differential equations (BSDEs) require further exploration, given their widespread use in both theory and practical applications. In this study, we present a positive answer to the long-standing open question of whether the representation theorem still holds in the $ L^2 $ -sense under the standard assumptions of square integrability and Lipschitzian continuity on the generators of BSDEs. In the process, the multidimensional case is considered. Subsequently, based on the representation theorem, we obtain a necessary and sufficient condition for the viability property of the BSDEs under standard conditions on the generators. This removes the requirement for the generator to possess the properties of stronger integrability and continuity with respect to time variables. As an application of these results, we conduct various types of comparisons and converse comparisons for the solutions of multidimensional BSDEs, and several properties of the multidimensional $ g $ -expectation are obtained.
后向随机微分方程的表示定理和生存性在理论和实际应用中都有广泛的应用,需要进一步研究。在本研究中,我们给出了一个长期存在的开放性问题,即在平方可积性和Lipschitzian连续性的标准假设下,表示定理在L^2 -意义上是否仍然成立。在此过程中,考虑了多维情况。在此基础上,利用表示定理,得到了在发生器上标准条件下BSDEs生存性的一个充分必要条件。这就消除了对生成器对时间变量具有较强的可积性和连续性的要求。作为这些结果的应用,我们对多维BSDEs的解进行了各种类型的比较和反向比较,得到了多维$ g $ -期望的若干性质。
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引用次数: 0
BSDEs with stochastic Lipschitz condition: A general result 具有随机Lipschitz条件的BSDEs:一个一般结果
IF 1.5 2区 数学 Q3 STATISTICS & PROBABILITY Pub Date : 2023-01-01 DOI: 10.3934/puqr.2023011
Xinying Li, Yu-Chan Lai, Shengjun Fan
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引用次数: 0
On the uniqueness result for the BSDE with deterministic coefficient 具有确定性系数的BSDE的唯一性结果
2区 数学 Q3 STATISTICS & PROBABILITY Pub Date : 2023-01-01 DOI: 10.3934/puqr.2023013
Yufeng Shi, Zhi Yang
In this paper, we study one-dimensional backward stochastic differential equation (BSDE), whose deterministic coefficient $f$ is Lipschitz in $y$ but only continuous in $z$. If the terminal condition $xi$ has bounded Malliavin derivative, we prove some uniqueness results for the BSDE with quadratic and linear growth in $z$, respectively.
本文研究一维后向随机微分方程(BSDE)的确定性系数f$在y$上是Lipschitz,而在z$上是连续的。如果终端条件$xi$具有有界的Malliavin导数,我们分别证明了$z$中具有二次增长和线性增长的BSDE的唯一性结果。
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引用次数: 0
3D shear flows driven by Lévy noise at the boundary 边界处lsamvy噪声驱动的三维剪切流
IF 1.5 2区 数学 Q3 STATISTICS & PROBABILITY Pub Date : 2023-01-01 DOI: 10.3934/puqr.2023004
W. Fan, A. Pakzad, Krutika Tawri, R. Temam
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引用次数: 0
期刊
Probability Uncertainty and Quantitative Risk
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