Math 2.0

Probability theory and stochastic processes Definition

Renewal theory

Builds on Independent and identically distributed random variablesExpected valueExponential distribution

Definition

Let T1,T2,…T_1, T_2, \ldots be independent and identically distributed random variables with values in [0,∞)[0, \infty) and P(T1=0)<1P(T_1 = 0) < 1. Let S0=0S_0 = 0 and Sn=T1+⋯+TnS_n = T_1 + \cdots + T_n for n≥1n \ge 1; these are the renewal times. The renewal process with holding times TiT_i is the process N(t)=sup⁡{n≥0:Sn≤t},t≥0.N(t) = \sup \set{n \ge 0 : S_n \le t}, \qquad t \ge 0. Its renewal function is m(t)=𝔼[N(t)]m(t) = \mathbb{E}[N(t)]. Renewal theory is the study of NN, of mm, and of processes that start afresh at the times SnS_n.

Remarks

The condition P(T1=0)<1P(T_1 = 0) < 1 makes Sn→∞S_n \to \infty almost surely, so N(t)N(t) is finite for each tt. Example: if the TiT_i are exponential with rate λ\lambda, then NN is the Poisson process of rate λ\lambda, and m(t)=λtm(t) = \lambda t. Non-example: if T1,T2,…T_1, T_2, \ldots are not identically distributed, for instance Ti=2−iT_i = 2^{-i}, then NN is not a renewal process, and here N(t)=∞N(t) = \infty for t≥1t \ge 1. Let μ=𝔼[T1]∈(0,∞]\mu = \mathbb{E}[T_1] \in (0, \infty] be the expected value of a holding time. The elementary renewal theorem says m(t)/t→1/μm(t)/t \to 1/\mu as t→∞t \to \infty, with 1/∞=01/\infty = 0; the strong law gives N(t)/t→1/μN(t)/t \to 1/\mu almost surely.

Reading path

To understand this page from the ground up, read these 4 pages in order. The foundations come first.

Show the path as a graph
Each page uses the pages above it. The colour of the bar on a box shows how strong the evidence is, and the box also gives it as text. The list has the same pages.
  • no evidence level
  1. Expected value concept
  2. Exponential distribution concept
  3. Independent and identically distributed random variables concept
  4. Renewal theory definition

Further reading

  1. Web https://en.wikipedia.org/wiki/Renewal_theory
About this page
TagKYF5SCYC64
URIm2://KYF5SCYC64
Kinddefinition
WritingW0 stub
MSC60K05, 60K15
DefinesRenewal theory
UsesIndependent and identically distributed random variables, Expected value, Exponential distribution
Changed2 November 2026

Markdown · JSON · Edit on GitHub

What this page needs for W1

  • an inventory row: the row of the inventory that the node accounts for (0 of 1)
  • a source with a locator (0 of 1)

The writing levels say how complete the text of a page is. They do not measure its truth.

What links here

No page links to this page yet.