Abstract
The theory of integrals of deterministic functions and solutions of differential equations, from the point of view of real analysis, is based on the fundamental notion of the limit of a sequence. With the advent of measure theory, Lebesgue integration, and generalized functions it has become possible to extend the idea of integration to the widest class of deterministic functions. It is therefore a reasonable question to ask whether random functions can be treated in a similar fashion. In fact, integrals of random functions which, for brevity, may be called stochastic integrals, arise from very many physical situations. Stochastic integrals are very well known to electrical engineers who very often have to deal with responses to random signals and noise. From a pure mathematician’s point of view, limiting stochastic operations do not offer any special difficulty since all limiting stochastic operations follow from the notion of convergence almost everywhere, convergence in mean square and convergence in measure, provided we replace Lebesgue measure by probability and the ordinary space by the function space of random functions. While this analogy is useful in that it provides a sound mathematical basis for the formulation of probability problems, it does not enable us to compute quantities of physical significance. In fact, the situation is analogous to the theory of Riemannian integration where the evaluation of integrals is made by the use of primitives or by the use of Simpson’s formula interpreting the integral as an area.
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References
A. Ramakrishnan, Phenomenological interpretation of the integrals of a class of random functions—I and II,” Proc. Kon. Ned. Akd. Von Wet. 58 A: 471, 64 (1955).
A. Ramakrishnan, “A physical approach to stochastic processes,” Proc. Ind. Acad. Sci. 44: 428 (1956).
A. Ramakrishnan, “A stochastic field of a fluctuating density field,” Astro-phys. J. 119: 443, 682 (1954).
A. Ramakrishnan, “On stellar statistics,” Astrophys. J. 122: 24 (1955).
S. K. Srinivasan, “Fluctuating density fields,” Proc. Math. Sci. Sym., 5 (1966).
S. K. Srinivasan, “Sequent correlations in evolutionary stochastic point processes,” Proc. Math. Sci. Sym., 4: 143 (1966).
A. Ramakrishnan, “Stochastic processes associated with random divisions of a line,” Proc. Cam. Phil. Soc. 49: 473 (1953).
S. K. Srinivasan, “A novel approach to the theory of shot noise,” Nuove Gimento 38: 979 (1965).
S. K. Srinivasan and R. Vasudevan, “On a class of non-Markovian processes associated with correlated pulse trains and their applications to Barkhau-sen noise,” Nuovo Cimento 41 B: 101 (1966).
S. K. Srinivasan, “On a class of stochastic differential equations,” Zeit Ang. Math. Mech. 43: 259 (1963).
S. K. Srinivasan, “On the Katz Model for emulsion polymerisation. J. Soc. Indust. Appl. Math. 11: 355. (1963).
A. Ramakrishnan, R. Vasudevan and S.K. Srinivasan, “Scattering phase shift in stochastic fields,” Zeit. Phys. 196: 112 (1966).
A. T. Bharucha-Reid, “On the theory of random equations. Stochastic Processes in Mathematical Physics and Engineering,” A.M.S. (1964) 40–69.
A. T. Bharucha-Reid, “Semi-Group methods in mathematical physics,” in: Symposia on Theoretical Physics and Mathematics, Vol. 2, Plenum Publishing Corp., New York, 1966, pp. 165–193.
A. T. Bharucha-Reid, Random Equations, Academic Press, New York, (1966).
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Srinivasan, S.K. (1969). Stochastic Integration and Differential Equations— Physical Approach. In: Ramakrishnan, A. (eds) Symposia on Theoretical Physics and Mathematics 9. Springer, Boston, MA. https://doi.org/10.1007/978-1-4684-7673-6_12
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DOI: https://doi.org/10.1007/978-1-4684-7673-6_12
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