Skip to main content

Inhomogeneous Products of Non-negative Matrices

  • Chapter
Non-negative Matrices and Markov Chains

Part of the book series: Springer Series in Statistics ((SSS))

Abstract

In a number of important applications the asymptotic behaviour as r → ∞ of one of the

EquationSource% MathType!MTEF!2!1!+- % feaagCart1ev2aaatCvAUfeBSjuyZL2yd9gzLbvyNv2CaerbuLwBLn % hiov2DGi1BTfMBaeXatLxBI9gBaerbd9wDYLwzYbItLDharqqtubsr % 4rNCHbGeaGqiVu0Je9sqqrpepC0xbbL8F4rqqrFfpeea0xe9Lq-Jc9 % vqaqpepm0xbba9pwe9Q8fs0-yqaqpepae9pg0FirpepeKkFr0xfr-x % fr-xb9adbaqaaeGaciGaaiaabeqaamaabaabaaGceaqabeaacaWGgb % Gaam4BaiaadkhacaWG3bGaamyyaiaadkhacaWGKbGaciiuaiaackha % caWGVbGaamizaiaadwhacaWGJbGaamiDaiaadohacaGG6aGaamivam % aaBaaaleaacaWGWbGaaiilaiaadkhaaeqaaOGaeyypa0ZaaiWaaeaa % caWG0bWaa0baaSqaaiaadMgacaWGQbaabaWaaeWaaeaacaWGWbGaai % ilaiaadkhaaiaawIcacaGLPaaaaaaakiaawUhacaGL9baacqGH9aqp % caWGibWaaSbaaSqaaiaadchacqGHRaWkcaaIXaaabeaakiaadIeada % WgaaWcbaGaamiCaiabgUcaRiaaikdaaeqaaOGaeyyXICTaeyyXICTa % eyyXICTaamisamaaBaaaleaacaWGWbGaey4kaSIaamOCaaqabaaake % aacaWGcbGaamyyaiaadogacaWGRbGaam4DaiaadggacaWGYbGaamiz % aiGaccfacaGGYbGaam4BaiaadsgacaWG1bGaam4yaiaadshacaWGZb % GaaiOoaiaadwfadaWgaaWcbaGaamiCaiaacYcacaWGYbaabeaakiab % g2da9maacmaabaGaamyvamaaDaaaleaacaWGPbGaamOAaaqaamaabm % aabaGaamiCaiaacYcacaWGYbaacaGLOaGaayzkaaaaaaGccaGL7bGa % ayzFaaGaeyypa0JaamisamaaBaaaleaacaWGWbGaey4kaSIaamOCaa % qabaGccaWGibWaaSbaaSqaaiaadchacqGHRaWkcaaIYaaabeaakiab % gwSixlabgwSixlabgwSixlaadIeadaWgaaWcbaGaamiCaiabgUcaRi % aaigdaaeqaaaaaaa!95EE!]]</EquationSource><EquationSource Format="TEX"><![CDATA[$$ \begin{gathered} Forward\Pr oducts:{T_{p,r}} = \left\{ {t_{ij}^{\left( {p,r} \right)}} \right\} = {H_{p + 1}}{H_{p + 2}} \cdot \cdot \cdot {H_{p + r}} \hfill \\ Backward\Pr oducts:{U_{p,r}} = \left\{ {U_{ij}^{\left( {p,r} \right)}} \right\} = {H_{p + r}}{H_{p + 2}} \cdot \cdot \cdot {H_{p + 1}} \hfill \\ \end{gathered} $$

and its dependence on p is of interest, where {H k ,k = 1, 2, ...} is a set of (n × n) matrices satisfying H k ≥0. We shall write H k ={h ij (k)}, i, j=1, ...;, n. The kinds of asymptotic behaviour of interest are weak ergodicity and strong ergodicity, and a commonly used tool is a contraction coefficient (coefficient of ergodicity). We shall develop the general theory in this chapter. The topic of inhomogeneous products of (row) stochastic matrices has special features, and is for the most part deferred to Chapter 4.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 129.00
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 169.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

Author information

Authors and Affiliations

Authors

Rights and permissions

Reprints and permissions

Copyright information

© 1981 Springer Science+Business Media New York

About this chapter

Cite this chapter

Seneta, E. (1981). Inhomogeneous Products of Non-negative Matrices. In: Non-negative Matrices and Markov Chains. Springer Series in Statistics. Springer, New York, NY. https://doi.org/10.1007/0-387-32792-4_3

Download citation

  • DOI: https://doi.org/10.1007/0-387-32792-4_3

  • Publisher Name: Springer, New York, NY

  • Print ISBN: 978-0-387-29765-1

  • Online ISBN: 978-0-387-32792-1

  • eBook Packages: Springer Book Archive

Publish with us

Policies and ethics