Media Theory : Interdisciplinary Applied Mathematics

David Eppstein

ISBN 10: 3540716963 / ISBN 13: 9783540716969

Published by Springer Vieweg, Springer, 2007

About this Item

Druck auf Anfrage Neuware - Printed after ordering - The focus of this book is a mathematical structure modeling a physical or biological system that can be in any of a number of 'states. ' Each state is characterized by a set of binary features, and di ers from some other nei- bor state or states by just one of those features. In some situations, what distinguishes a state S from a neighbor state T is that S has a particular f- ture that T does not have. A familiar example is a partial solution of a jigsaw puzzle, with adjoining pieces. Such a state can be transformed into another state, that is, another partial solution or the nal solution, just by adding a single adjoining piece. This is the rst example discussed in Chapter 1. In other situations, the di erence between a state S and a neighbor state T may reside in their location in a space, as in our second example, in which in which S and T are regions located on di erent sides of some common border. We formalize the mathematical structure as a semigroup of 'messages' transforming states into other states. Each of these messages is produced by the concatenation of elementary transformations called 'tokens (of infor- tion). ' The structure is speci ed by two constraining axioms. One states that any state can be produced from any other state by an appropriate kind of message. The other axiom guarantees that such a production of states from other states satis es a consistency requirement.

Seller Inventory # 9783540716969

Bibliographic Details

• Title: Media Theory : Interdisciplinary Applied Mathematics
• Publisher: Springer Vieweg, Springer
• Publication Date: 2007
• Language: English
• ISBN 10: 3540716963
• ISBN 13: 9783540716969
• Binding: Buch
• Condition: Neu
• Dimensions: 241W x 160H x 24D millimeters 241 millimeters width by 160 millimeters height by 24 millimeters depth
• Weight: 676 grams

About this title

Synopsis

The focus of this book is a mathematical structure modeling a physical or biological system that can be in any of a number of ‘states. ’ Each state is characterized by a set of binary features, and di?ers from some other nei- bor state or states by just one of those features. In some situations, what distinguishes a state S from a neighbor state T is that S has a particular f- ture that T does not have. A familiar example is a partial solution of a jigsaw puzzle, with adjoining pieces. Such a state can be transformed into another state, that is, another partial solution or the ?nal solution, just by adding a single adjoining piece. This is the ?rst example discussed in Chapter 1. In other situations, the di?erence between a state S and a neighbor state T may reside in their location in a space, as in our second example, in which in which S and T are regions located on di?erent sides of some common border. We formalize the mathematical structure as a semigroup of ‘messages’ transforming states into other states. Each of these messages is produced by the concatenation of elementary transformations called ‘tokens (of infor- tion). ’ The structure is speci?ed by two constraining axioms. One states that any state can be produced from any other state by an appropriate kind of message. The other axiom guarantees that such a production of states from other states satis?es a consistency requirement.

From the Back Cover

The focus of this book is a mathematical structure modeling a physical or biological system that can be in any of a number of `states.' Each state is characterized by a set of binary features, and differs from some other neighbor state or states by just one of those feature. A simple example of a `state’ is a partial solution of a jigsaw puzzle, which can be transformed into another partial solution or into the final solution just by adding or removing a single adjoining piece. The evolution of such a system over time is considered. Such a structure is analyzed from algebraic and probabilistic (stochastic) standpoints.