On a stochastic integral equation of the Volterra type in telephone traffic theory

1971 ◽  
Vol 8 (2) ◽  
pp. 269-275 ◽  
Author(s):  
W. J. Padgett ◽  
C. P. Tsokos

In mathematical models of phenomena occurring in the general areas of the engineering, biological, and physical sciences, random or stochastic equations appear frequently. In this paper we shall formulate a problem in telephone traffic theory which leads to a stochastic integral equation which is a special case of the Volterra type of the form where: (i)ω∊Ω, where Ω is the supporting set of the probability measure space (Ω,B,P);(ii)x(t; ω) is the unknown random variable for t ∊ R+, where R+ = [0, ∞);(iii)y(t; ω) is the stochastic free term or free random variable for t ∊ R+;(iv)k(t, τ; ω) is the stochastic kernel, defined for 0 ≦ τ ≦ t < ∞; and(v)f(t, x) is a scalar function defined for t ∊ R+ and x ∊ R, where R is the real line.

1971 ◽  
Vol 8 (02) ◽  
pp. 269-275 ◽  
Author(s):  
W. J. Padgett ◽  
C. P. Tsokos

In mathematical models of phenomena occurring in the general areas of the engineering, biological, and physical sciences, random or stochastic equations appear frequently. In this paper we shall formulate a problem in telephone traffic theory which leads to a stochastic integral equation which is a special case of the Volterra type of the form where: (i) ω∊Ω, where Ω is the supporting set of the probability measure space (Ω,B,P); (ii) x(t; ω) is the unknown random variable for t ∊ R +, where R + = [0, ∞); (iii) y(t; ω) is the stochastic free term or free random variable for t ∊ R +; (iv) k(t, τ; ω) is the stochastic kernel, defined for 0 ≦ τ ≦ t &lt; ∞; and (v) f(t, x) is a scalar function defined for t ∊ R + and x ∊ R, where R is the real line.


1973 ◽  
Vol 9 (2) ◽  
pp. 227-237 ◽  
Author(s):  
J. Susan Milton ◽  
Chris P. Tsokos

The object of this present paper is to study a nonlinear perturbed stochastic integral equation of the formwhere ω ∈ Ω, the supporting set of the complete probability measure space (Ω A, μ). We are concerned with the existence and uniqueness of a random solution to the above equation. A random solution, x(t; ω), of the above equation is defined to be a vector random variable which satisfies the equation μ almost everywhere.


1988 ◽  
Vol 25 (02) ◽  
pp. 257-267 ◽  
Author(s):  
D. Szynal ◽  
S. Wedrychowicz

This paper deals with the existence of solutions of a stochastic integral equation of the Volterra type and their asymptotic behaviour. Investigations of this paper use the concept of a measure of non-compactness in Banach space and fixed-point theorem of Darbo type. An application to a stochastic model for chemotherapy is also presented.


1993 ◽  
Vol 43 (3-4) ◽  
pp. 145-154
Author(s):  
P. Sen ◽  
R. Bartoszynski

Kinetic models are commonly used in modeling biological systems. The paper starts with a kinetic model which it converts into a stochastic model, and describes a technique to calculate the variance of the random variable which describes the system. This method of calculation gives an alternative to Ito calculus.


Author(s):  
R. Subramaniam ◽  
K. Balachandran

AbstractIn this paper we establish the existence of solutions of a more general class of stochastic integral equation of Volterra type. The main tools used here are the measure of noncompactness and the fixed point theorem of Darbo. The results generalize the results of Tsokos and Padgett [9] and Szynal and Wedrychowicz [7]. An application to a stochastic model arising in chemotherapy is discussed.


1988 ◽  
Vol 25 (2) ◽  
pp. 257-267 ◽  
Author(s):  
D. Szynal ◽  
S. Wedrychowicz

This paper deals with the existence of solutions of a stochastic integral equation of the Volterra type and their asymptotic behaviour. Investigations of this paper use the concept of a measure of non-compactness in Banach space and fixed-point theorem of Darbo type. An application to a stochastic model for chemotherapy is also presented.


1972 ◽  
Vol 9 (01) ◽  
pp. 169-177
Author(s):  
Chris P. Tsokos ◽  
M. A. Hamdan

The object of this paper is to study the stochastic asymptotic exponential stability of a stochastic integral equation of the form A random solution of the stochastic integral equation is considered to be a second order stochastic process satisfying the equation almost surely. The random solution, y(t, ω) is said to be. stochastically asymptotically exponentially stable if there exist some β &gt; 0 and a γ &gt; 0 such that for t∈ R +. The results of the paper extend the results of Tsokos' generalization of the classical stability theorem of Poincaré-Lyapunov.


1972 ◽  
Vol 9 (1) ◽  
pp. 169-177 ◽  
Author(s):  
Chris P. Tsokos ◽  
M. A. Hamdan

The object of this paper is to study the stochastic asymptotic exponential stability of a stochastic integral equation of the form A random solution of the stochastic integral equation is considered to be a second order stochastic process satisfying the equation almost surely. The random solution, y(t, ω) is said to be. stochastically asymptotically exponentially stable if there exist some β > 0 and a γ > 0 such that for t∈ R+.The results of the paper extend the results of Tsokos' generalization of the classical stability theorem of Poincaré-Lyapunov.


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