Probability on Graphs and Semigroups

Abstract Reliability Theory

Contents

Ancillary Material

General Theory

  1. Graphs
    1. Basics
    2. Partial Order Graphs
    3. Probability on Graphs
    4. Random Walks
    5. Constant Rate Distributions
    6. Reflexive Closure
    7. Induced Graphs
    8. Graph Products
    9. Lexicographic Sums
    10. Endpoint Addition
  2. Semigroups
    1. Basics
    2. Positive Semigroups
    3. Invariant Measures
    4. Probability on Semigroups
    5. Memoryless and Exponential Distributions
    6. Conditional Distributions
    7. Semigroup Products
    8. Semigroup Quotients

Examples and Applications

  1. Standard Continuous Spaces
    1. The Standard Space
    2. Isomorphic Spaces
    3. Relative Aging
    4. Marshall-Olkin Distributions
    5. A Class of Bivariate Distributions
    6. Norm Graphs
    7. Matrix Semigroups
  2. Standard Discrete Spaces
    1. The Stanadard Space
    2. Variations
    3. Sub-Semigroups
    4. Induced Spaces
    5. A Lexicographic Sum
  3. Rooted Trees and Related Spaces
    1. Rooted Trees
    2. Free Semigroups
    3. Probability on Rooted Trees
    4. Probability on Free Semigroups
    5. Downward Run Graphs
    6. Upward Run Graphs
  4. Arithmetic Semigroups
    1. Semigroups
    2. Probability
  5. Paths and Related Graphs
    1. Polynomials
    2. The Infinite Path
    3. Finite Paths
    4. Related Graphs
  6. Subset Spaces
    1. Graphs
    2. Conditionally Independent Elements
    3. Constant Rate Distributions
    4. Semigroups
    5. Exponential Distributions

Overview

The purpose of this text is to study abstract settings that generalize many of the basic concepts in classical reliability theory. Generalized graphs (consisting of a set and a binary relation) are the natural home for generalizations of the reliability function, failure rate function, and particularly constant rate distributions. Certain semigroups are the natural home for generalizations of the memoryless and exponential distributions. The two algebraic structures are closely related since there is a natural graph associated with a semigroup. Please read the Preface for mathematical prerequisites, notational conventions, and some basic assumptions, and read the Introduction for a review of the classical theory that motivates this work.

The text is divided into two basic parts. The first part gives the basic definitions and properties of the two fundamental structures, graphs and semigroups, basic probability and random walks on the two structures, and exponential, memoryless, and constant rate distributions. Part I also gives some basic constructions for creating new graphs and semigroups from existing ones. These include various product structures, a quotient structure, and graphs partitioned by an underlying graph. The second part studies a number of applications and examples in detail. The applications include the standard discrete and continuous spaces, rooted trees, free semigroups on countable alphabets, arithmetic semigroups including the positive integers under mulitplication, and semigroup and graph structures on finite subsets of positive integers.

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Author

Kyle Siegrist
Department of Mathematical Sciences
University of Alabama in Huntsville
kyle@randomservices.org