Abstract

Given an oblique reflection map Γ and functions [Formula: see text] (the space of ℝK-valued functions that have finite left and right limits at every point), the directional derivative [Formula: see text] of Γ along χ, evaluated at ψ, is defined to be the pointwise limit, as [Formula: see text], of the family of functions [Formula: see text]. Directional derivatives are shown to exist and lie in [Formula: see text] for oblique reflection maps associated with reflection matrices of the so-called Harrison-Reiman class. When ψ and χ are continuous, the convergence of [Formula: see text] to [Formula: see text] is shown to be uniform on compact subsets of continuity points of the limit [Formula: see text], and the derivative [Formula: see text] is shown to have an autonomous characterization as the unique fixed point of an associated map. Directional derivatives arise as functional central limit approximations to time-inhomogeneous queueing networks. In this case ψ and χ correspond, respectively, to the functional strong law of large numbers and functional central limits of the so-called netput process. In this work it is also shown how the various types of discontinuities of the derivative [Formula: see text] are related to the reflection matrix and properties of the function Γ(ψ). In the queueing network context, this describes the influence of the topology of the network and the states (of underloading, overloading, or criticality) of the various queues in the network on the discontinuities of the directional derivative. Directional derivatives have also been found useful for identifying optimal controls for fluid approximations of time-inhomogoeneous queueing networks and are also of relevance to the study of differentiability of stochastic flows of obliquely reflected Brownian motions.

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call

Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.