The Backward Equation

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Abstract

The backward solution u(p, t) expresses the probability of having started in some p ∈â€‰Δ n at the negative time t conditional upon being in a certain state u(p, 0) = f(p) at time t = 0, i.e. having reached the corresponding (generalised) target set . It becomes a parabolic equation upon time reversal, that is, replacing t by − t. We can then treat u(p, 0) = f(p) as the initial condition at time t = 0. In view of the biological model behind the Kolmogorov backward equation , however, we shall work with negative time and call u(p, 0) = f(p) a final condition.

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Hofrichter, J., Jost, J., & Tran, T. D. (2017). The Backward Equation. In Understanding Complex Systems (pp. 219–267). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-3-319-52045-2_9

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