Uncertain Independent Increment Processes are Contour Processes

2021 ◽  
Vol 14 (03) ◽  
Author(s):  
Kai Yao

Uncertain processes are used to model dynamic indeterminate systems associated with human uncertainty, and uncertain independent increment processes are a type of uncertain processes with independent uncertain increments. This paper mainly verifies a basic property about the sample paths of uncertain independent increment processes, which states that uncertain independent increment processes defined on a continuous uncertainty space are contour processes, a type of uncertain processes with a spectrum of sample paths as the skeletons. Based on this property, the extreme values and the time integral of an uncertain independent increment process are investigated, and their inverse uncertainty distributions are obtained.

1991 ◽  
Vol 109 (3) ◽  
pp. 571-595 ◽  
Author(s):  
Peter Glockner

Many examples of quantum independent stationary increment processes are solutions of quantum stochastic differential equations. We give a common characterization of these examples by a quantum stochastic differential equation on an abstract *-bialgebra. Specializing this abstract *-bialgebra and the coefficients of the equation, we obtain the equations for the Unitary Noncommutative Stochastic processes of [12], the Quantum Wiener Process [2], the Azéma martingales [11] and for other examples. The existence and uniqueness of a solution of the general equation is shown. Assuming the boundedness of this solution, we prove that it is a continuous and stationary independent increment process.


2017 ◽  
Vol 42 (7) ◽  
pp. 2927-2936 ◽  
Author(s):  
Zhihua Wang ◽  
Jiangming Cao ◽  
Xiaobing Ma ◽  
Huayong Qiu ◽  
Yongbo Zhang ◽  
...  

Symmetry ◽  
2021 ◽  
Vol 14 (1) ◽  
pp. 14
Author(s):  
Xiumei Chen ◽  
Yufu Ning ◽  
Lihui Wang ◽  
Shuai Wang ◽  
Hong Huang

In real life, indeterminacy and determinacy are symmetric, while indeterminacy is absolute. We are devoted to studying indeterminacy through uncertainty theory. Within the framework of uncertainty theory, uncertain processes are used to model the evolution of uncertain phenomena. The uncertainty distribution and inverse uncertainty distribution of uncertain processes are important tools to describe uncertain processes. An independent increment process is a special uncertain process with independent increments. An important conjecture about inverse uncertainty distribution of an independent increment process has not been solved yet. In this paper, the conjecture is proven, and therefore, a theorem is obtained. Based on this theorem, some other theorems for inverse uncertainty distribution of the monotone function of independent increment processes are investigated. Meanwhile, some examples are given to illustrate the results.


2013 ◽  
Vol 30 (8) ◽  
pp. 1275-1283 ◽  
Author(s):  
Zhihua Wang ◽  
Huimin Fu ◽  
Yongbo Zhang

1972 ◽  
Vol 9 (03) ◽  
pp. 677-680
Author(s):  
Sheldon M. Ross

A stationary independent increment process is the continuous time analogue of the discrete random walk, and, as such, has a wide variety of applications. In this paper we consider M(t), the maximum value that such a process attains by time t. By using renewal theoretic methods we obtain results about M(t). In particular we show that if μ, the mean drift of the process, is positive, then M(t)/t converges to μ, and E[M(t + h) – M(t)] → hμ.


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