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9780792362647

Random Evolutions and Their Applications

by
  • ISBN13:

    9780792362647

  • ISBN10:

    0792362640

  • Format: Hardcover
  • Copyright: 2000-07-01
  • Publisher: Kluwer Academic Pub
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Summary

This book is devoted to new trends in random evolution and their applications to the stochastic evolutionary system. It contains new developments such as an analogue of Dynkin's formula, boundary value problems, stability and control of random evolutions, stochastic evolutionary equations, and driven martingale measures. In addition, it treats statistics of random evolutions processes, statistics of financial stochastic models, and stochastic stability and control of financial markets. Audience: This volume will be of interest to research and applied mathematicians working in the fields of applied probability, stochastic processes, and random evolutions, as well as experts in statistics, finance and insurance.

Table of Contents

Preface xiii
List of Notations
xv
Introduction 1(1)
Markov and Semi-Markov Processes
2(2)
Markov and Semi-Markov Random Evolutions
4(2)
Random Evolution Processes (REP) or Stochastic Evolutionary Systems (SES)
6(2)
Random Evolutions in Financial and Insurance Mathematics in a Incomplete Market
8(3)
Stochastic Stability of Markov and semi-Markov Processes
11(1)
Stochastic Stability of SES
11(1)
Stochastic Stability of Random Evolutions
12(1)
Stochastic Stability of Random Evolutions in Averaging and Diffusion Approximation Schemes
13(1)
Stochastic Stability of SES in Averaging and Diffusion Approximation Schemes
14(1)
Stochastic Optimal Control of Markov and Semi-Markov Processes
14(3)
Stochastic Optimal Control of Markov and Semi-Markov Stochastic Evolutionary Systems (SES)
17(1)
Stochastic optimal control of Markov SES
17(1)
Stochastic optimal control of semi-Markov SES
18(1)
Stochastic Optimal Control of Random Evolutions
18(3)
Stochastic optimal control of Markov RE
19(1)
Stochastic optimal control of semi-Markov RE
19(1)
Organization of the Book
19(1)
Structure of the Book
20(1)
Random Evolutions (RE)
21(42)
Definitions and classification of random evolutions
21(3)
Definitions of random evolutions
21(1)
Classification of Random Evolutions. Examples
22(2)
Martingale methods in random evolutions
24(14)
Martingale characterization of random evolutions
24(5)
Martingale approach to random evolutions
29(1)
Orthogonal local martingale measure
30(1)
Stochastic integrals over martingale measure
30(1)
The stochastic integral equation in Banach space
31(1)
Martingale problem in Banach space
32(1)
Connection between martingale problem and stochastic integral equation in Banach space
33(4)
Martingale characterization of Markov processes and chains
37(1)
Limit theorems for Random Evolution
38(15)
Weak convergence of random evolutions
39(2)
Averaging of random evolutions
41(2)
Diffusion approximation of random evolutions
43(2)
Averaging of random evolutions in reducible phase space. Merged random evolutions
45(4)
Diffusion approximation of random evolutions in reducible phase space
49(2)
Normal deviations of random evolutions
51(2)
Rates of convergence in the limit theorems for SMRE
53(3)
Evolutionary Equations
56(7)
Stochastic Evolutionary Systems
63(22)
Definition and examples of SES
63(3)
Traffic processes in semi-Markov random media
63(1)
Storage processes in semi-Markov random media
64(1)
Diffusion processes in semi-Markov random media
65(1)
Averaging and merging of SES
66(3)
Traffic processes
66(1)
Storage processes
67(1)
Diffusion processes
68(1)
Diffusion Approximation of Stochastic Evolutionary Systems
69(8)
Traffic processes
69(1)
Storage processes
70(2)
Rates of convergence in the limit theorems for SES
72(5)
Normal Deviations of SES
77(2)
Martingale characterization of stochastic evolutionary systems
79(6)
Martingale characterization of Markov processes and chains
80(1)
Martingale characterization of semi-Markov process
81(1)
Martingale characterization of SES
81(4)
Random Evolution Equations Driven by Space-Time White Noise
85(21)
The Existence of Wiener Measure and Related Stochastic Equations
85(4)
Stochastic Integrals over Martingale Measures
89(8)
Orthogonal martingale measures
89(1)
Ito's integrals over martingale measure
90(3)
Symmetric integral over martingale measure
93(2)
Anticipating integral over martingale measure
95(3)
Multiple Ito's integral over martingale measure
98
Stochastic Integral Equations over Martingale Measures
97(2)
Martingale Problems Connected with Stochastic Equations over Martingale Measures
99(2)
Stochastic Integral Equation for the Limiting Random Evolutions
101(1)
Evolutionary Operator Equations Driven by Wiener Martingale Measure
102(4)
Analogue of Dynkin's Formula (ADF) for Multiplicative Operator Functionals (MOF), RE and SES
106(13)
Definitions and basic notations
106(2)
Properties of the characteristic operator of MOF
108(2)
Resolvent and potential for MOF
110(1)
Equations for resolvent and potential for MOF
111(1)
ADF for MOF
112(1)
ADF for Markov RE
113(1)
ADF for semi-Markov RE
114(1)
Analogue of Dynkin's formulae for SES
115(4)
ADF for traffic processes in random media
115(1)
ADF for storage processes in random media
116(1)
ADF for diffusion process in random media
117(2)
Boundary Value Problems (BVP) for RE and SES
119(8)
Boundary value problems for Markov RE
119(3)
Boundary value problems for discontinuous Markov and semi-Markov RE
122(2)
Boundary value problems for Stochastic Evolutionary Systems
124(3)
Traffic, storage and diffusion processes in random media
124(1)
BVP for traffic processes in random media
125(1)
BVP for storage processes in random media
126(1)
BVP for diffusion processes in random media
126(1)
Stochastic Stability of RE and SES
127(29)
Definitions of stochastic stability
127(2)
Stochastic stability of Markov and semi-Markov processes
129(4)
Stochastic stability of random evolutions
133(7)
Stability of random evolutions w.p.1
134(2)
Stability of random evolutions in averaging scheme
136(2)
Stability of random evolutions in diffusion approximation scheme
138(2)
Stability of stochastic evolutionary systems
140(6)
Stability of traffic processes
140(3)
Stability of storage processes
143(2)
Stability of diffusion processes
145(1)
Stability of SES in averaging and diffusion approximation schemes
146(10)
Stability of impulse traffic process in averaging scheme
146(3)
Stability of impulse traffic process in diffusion approximation scheme
149(2)
Stability of diffusion processes in averaging scheme
151(5)
Stochastic Optimal Control of Random Evolutions and SES
156(24)
Definitions, Conditions and Preliminary Results
156(2)
SOC of Markov Random Evolutions
158(3)
SOC of semi-Markov Random Evolutions
161(3)
SOC of Controlled Averaged Random Evolutions
164(1)
SOC of Controlled Diffusion Random Evolutions
165(1)
SOC of Controlled Merged Random Evolutions
166(1)
Control of Stochastic Evolutionary Systems in Random Media
167(13)
Functionals of Uncontrolled Processes
167(1)
Cost functionals
168(3)
Optimal stochastic control
171(9)
Statistics of SES
180(8)
Filtering problems for stochastic evolutionary systems
180(3)
Definition of diffusion processes in random media and example
180(1)
State of the problem and conditions
181(1)
Formulation of the result
182(1)
Proof of the result
183(1)
Interpolation problems for stochastic evolutionary systems
183(2)
State of the problem and conditions
183(1)
Formulation of the result and proof
184(1)
Extrapolation problems for stochastic evolutionary systems
185(3)
State of the problem and conditions
186(1)
Formulation of the result and proof
186(2)
Random Evolutions in Financial Mathematics. Incomplete Market
188(37)
Examples of Random Evolutions in financial mathematics
188(2)
Discrete approximations of the random evolution processes
190(6)
Approximation of continuous REP
190(2)
Approximation of discontinuous REP
192(3)
Discrete approximations of the dynamics of stocks prices
195(1)
Dynamics of stocks prices in an incomplete market
196(10)
Continuous dynamic of stocks prices
196(1)
Discontinuous dynamic of stocks prices
196(1)
Ito formula for random evolutions in financial mathematics
197(2)
Analogue of Girsanov's result for random evolution in financial mathematics
199(1)
Analogue of Feynman-Kac formula for random evolutions in financial mathematics
200(2)
Mean value and probability of the time of reaching some bounds
202(3)
Forecast of real increasing of stocks prices
205(1)
Hedging of Options under mean-square criterion and with semi-Markov volatility
206(8)
Description of the model and preliminary notions
207(2)
The result
209(2)
Random Evolution approach
211(3)
Contingent claims valuations of the dynamic of stocks prices with jumps
214(10)
Discontinuous trading model as discontinuous random evolution process
214(4)
Contingent claims valuation of discontinuous trading model
218(1)
Analogue of Black-Scholes formula for random evolutions in financial mathematics
219(1)
Black-Scholes formula for market when the model is combined (B,S,X)-incomplete market and compound geometric Poisson process
220(4)
Averaging and Merging of Securities Prices
224(1)
Random Evolutions in Insurance Mathematics. Incomplete Market.
225(25)
Examples of random evolutions in insurance mathematics
225(1)
Stochastic models of the insurance mathematics under incomplete market
226(18)
Semi-Markov risk processes
228(3)
Ruin probabilities for semi-Markov risk processes
231(2)
Risk process on the infinite insurance level
233(2)
Averaged risk process
235(1)
Merged risk process
236(1)
Diffusion risk process
237(2)
Normal deviated risk process
239(1)
Diffusion risk process on the infinite insurance level
240(4)
Ruin probabilities for semi-Markov risk processes
244(6)
Ruin probabilities for averaged risk processes
244(1)
Ruin probabilities for merged risk rpocesses
244(1)
Ruin probabilities for diffusion risk processes
245(2)
Ruin probability for normal deviated risk process
247(1)
Ruin probabilities for risk processes on the infinite insurance level
248(2)
Stochastic Stability of Financial and Insurance Stochastic Models
250(13)
Definitions of stochastic stability
250(1)
Stochastic stability of financial stochastic models
251(2)
Stochastic stability of (B,S,X)-securities market
251(1)
Stochastic stability of (B,S,X)-securities market with jumps
252(1)
Stochastic stability of insurance stochastic models
253(1)
Stochastic stability of Markov and semi-Markov risk processes
253(1)
Stability of semi-Markov risk processes in averaging, diffusion approximation and normal deviations schemes
254(9)
Stability of semi-Markov risk process in averaging scheme
254(4)
Stability of semi-Markov risk process in diffusion approximation scheme
258(2)
Stability of semi-Markov risk processes in normal deviations scheme
260(3)
Stochastic Optimal Control of Financial and Insurance Stochastic Models
263(17)
Stochastic optimal control of financial stochastic models
263(12)
Functionals of uncontrolled dynamics of stocks prices
263(1)
Cost functionals for stochastic financial models
264(3)
Optimal control of stochastic financial models. Bellman principle
267(8)
Stochastic optimal control of insurance stochastic models
275(5)
Semi-Markov risk processes
275(1)
Semi-Markov risk process as discontinuous semi-Markov random evolution
276(1)
Stochastic optimal control of semi-Markov risk processes
277(1)
Construction of stochastic optimal control for semi-Markov risk processes
278(2)
Statistics of Financial Stochastic Models
280(5)
State of the problem and conditions
280(1)
Filtering problem for (B,S,X)-incomplete securities market
281(1)
Interpolation problem for (B,S,X)-incomplete securities market
282(1)
Extrapolation problem for (B,S,X)-incomplete securities market
283(2)
Bibliography 285(6)
Index 291

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