The method of types is one of the most popular techniques in information theory and combinatorics. However, thus far the method has been mostly applied to one-dimensional Markov processes, and it has not been thoroughly studied for general Markov fields. Markov fields over a finite alphabet of size m ≥ 2 can be viewed as models for multi-dimensional systems with local interactions. The locality of these interactions is represented by a shape S while its marking by symbols of the underlying alphabet is called a tile. Two assignments in a Markov field have the same type if they have the same empirical distribution, i.e., if they have the same number of tiles of a given type. Our goal is to study the growth of the number of possible Markov field types in either a d-dimensional box of lengths n1, ...,nd or its cyclic counterpart, a d-dimensional torus. We relate this question to the enumeration of nonnegative integer solutions of a large system of Diophantine linear equations called the conservation laws. We view a Markov type as a vector in a D = m|S| dimensional space and count the number of such vectors satisfying the conservation laws, which turns out to be the number of integer points in a certain polytope. For the torus this polytope is of dimension µ = D − 1 − rk(C) where rk(C) is the number of linearly independent conservation laws C. This provides an upper bound on the number of types. Then we construct a matching lower bound leading to the conclusion that the number of types in the torus Markov field is Θ(Nµ) where N = n1 ···nd. These results are derived by geometric tools including ideas of discrete and convex multidimensional geometry.
Autorzy
- Yuliy Baryshnikov,
- Jarosław Duda,
- prof. dr inż. Wojciech Szpankowski link otwiera się w nowej karcie
Informacje dodatkowe
- DOI
- Cyfrowy identyfikator dokumentu elektronicznego link otwiera się w nowej karcie 10.1109/tit.2016.2573834
- Kategoria
- Publikacja w czasopiśmie
- Typ
- artykuł w czasopiśmie wyróżnionym w JCR
- Język
- angielski
- Rok wydania
- 2016
Źródło danych: MOSTWiedzy.pl - publikacja "Types of Markov Fields and Tilings" link otwiera się w nowej karcie