In mathematics, a càdlàg, RCLL, or corlol right, limit on function is a function defined on the real numbers that is everywhere right-continuous and has left limits everywhere. Càdlàg functions are important in the study of stochastic processes that admit jumps, unlike Brownian motion, which has continuous sample paths. The collection of càdlàg functions on a given domain is known as Skorokhod space. Two related terms are càglàd, standing for "continue à gauche, limite à droite", the left-right reversal of càdlàg, and càllàl for "continue à l'un, limite à l’autre", for a function which is interchangeably either càdlàg or càglàd at each point of the domain.
Definition
Let be a metric space, and let. A function is called a càdlàg function if, for every,
All functions continuous on a subset of the real numbers are càdlàg functions on that subset.
As a consequence of their definition, all cumulative distribution functions are càdlàg functions. For instance the cumulative at point correspond to the probability of being lower or equal than, namely. In other words, the semi-open interval of concern for a two-tailed distribution is right-closed.
The set of all càdlàg functions from E to M is often denoted by and is called Skorokhod space after the Ukrainian mathematicianAnatoliy Skorokhod. Skorokhod space can be assigned a topology that, intuitively allows us to "wiggle space and time a bit". For simplicity, take and — see Billingsley for a more general construction. We must first define an analogue of the modulus of continuity,. For any, set and, for, define the càdlàg modulus to be where the infimum runs over all partitions,, with. This definition makes sense for non-càdlàg ƒ and it can be shown that ƒ is càdlàg if and only if as. Now let Λ denote the set of all strictly increasing, continuous bijections from E to itself. Let denote the uniform norm on functions on E. Define the Skorokhod metricσ on D by where is the identity function. In terms of the "wiggle" intuition, measures the size of the "wiggle in time", and measures the size of the "wiggle in space". It can be shown that the Skorokhod metric is indeed a metric. The topology Σ generated by σ is called the Skorokhod topology on D.
By an application of the Arzelà–Ascoli theorem, one can show that a sequence n=1,2,... of probability measures on Skorokhod space D is tight if and only if both the following conditions are met: and
Under the Skorokhod topology and pointwise addition of functions, D is not a topological group, as can be seen by the following example: Let be the unit interval and take to be a sequence of characteristic functions. Despite the fact that in the Skorokhod topology, the sequence does not converge to 0.