2.4. Renewal Density

Lecture



2.4. Renewal Density

If, for t>0 the renewal function has a derivative H(t)=h(t), then it is called the renewal density. It follows from representations (2.4) and (2.10) that the renewal density exists if and only if the densities of the distributions F(t)=f(t) and F1(t)=f1(t) exist for t>0. Since the series converges uniformly on every finite interval, it may be differentiated term by term. Then from (2.4) we obtain

,2.4. Renewal Density

where f(k)(t) denotes the k-fold convolution of the density f(t).

Taking into account the estimates (2.12) and the equality dH(t)=h(t)dt for differentials, we find that the function h(t)dt is the probability of a renewal occurring in an infinitesimal neighborhood of the point t.

It is not difficult to obtain the renewal equations for the densities and their solutions in terms of the Laplace–Stieltjes transform. We give these relations

, 2.4. Renewal Density (2.21)

See also

  • Poisson random measure
  • random process
  • random walks
  • renewal process
  • Cramér–Lundberg model
  • empirical measures
  • Poisson random measure

Comments

To leave a comment

If you have any suggestion, idea, thanks or comment, feel free to write. We really value feedback and are glad to hear your opinion.
To reply

Lectures and tutorial on "probabilistic processes"

Terms: probabilistic processes