TY - JOUR
T1 - One-dimensional stochastic differential equations with singular and degenerate coefficients
AU - Bass, Richard F.
AU - Chen, Zhen Qing
PY - 2005
Y1 - 2005
N2 - 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.
AB - 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.
KW - Comparison principle
KW - Degenerate coefficients
KW - Pathwise uniqueness
KW - Singular drift
KW - Stochastic differential equations
KW - Strong solution
UR - http://www.scopus.com/inward/record.url?scp=31344445888&partnerID=8YFLogxK
M3 - Article
AN - SCOPUS:31344445888
SN - 0972-7671
VL - 67
SP - 19
EP - 45
JO - Sankhya: The Indian Journal of Statistics
JF - Sankhya: The Indian Journal of Statistics
IS - 1
ER -