Abstract
We show the existence of strong solutions and pathwise uniqueness for two types of one-dimensional stochastic differential equations. The first type allows singular drifts: Xt = X0 + ∫0 t a(Xt)dWt + ∫RL tw(X)μ(dw) for t ≥ 0, where W is a one-dimensional Brownian motion, a is a, function that is bounded between two positive constants, μ is a finite measure with |μ({w})| ≤ 1, and Lw is the local time at w for the semimartingale X. The second type is the equation dXt = (Xt)ndWt + dL t, where L is a continuous non-decreasing process that increases only when X is at 0, α ∈ (0, 1/2), and Xt ≥ 0 for all t. Although this second equation does not have a unique solution, it does have a unique solution if one restricts attention to those solutions that spend zero time at 0.
Original language | English |
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Pages (from-to) | 19-45 |
Number of pages | 27 |
Journal | Sankhya: The Indian Journal of Statistics |
Volume | 67 |
Issue number | 1 |
Publication status | Published - 2005 |
Externally published | Yes |
Keywords
- Comparison principle
- Degenerate coefficients
- Pathwise uniqueness
- Singular drift
- Stochastic differential equations
- Strong solution