Untitled

Abstract

For convenience, letỹ = y − y s i . Then, the distribution ofỹ is given byObviously, ψ(ỹ, t) = φ(y, t) since dỹ/dy = 1. Thus, from Eq. 8, we havewhere G(ỹ) = g(ỹ + y si ). Whenỹ is near 0, we havewith G (0) = g (y s i ) < 0, and1