An Introduction to Sequential Dynamical Systems by Henning S. Mortveit, Christian M. Reidys (auth.)

By Henning S. Mortveit, Christian M. Reidys (auth.)

Sequential Dynamical platforms (SDS) are a category of discrete dynamical platforms which considerably generalize many facets of structures akin to mobile automata, and supply a framework for learning dynamical strategies over graphs.

This textual content is the 1st to supply a finished creation to SDS. pushed by means of quite a few examples and thought-provoking difficulties, the presentation deals strong foundational fabric on finite discrete dynamical structures which leads systematically to an creation of SDS. concepts from combinatorics, algebra and graph thought are used to review a wide diversity of issues, together with reversibility, the constitution of fastened issues and periodic orbits, equivalence, morphisms and aid. in contrast to different books that focus on identifying the constitution of varied networks, this e-book investigates the dynamics over those networks by means of targeting how the underlying graph constitution impacts the houses of the linked dynamical system.

This booklet is geared toward graduate scholars and researchers in discrete arithmetic, dynamical platforms concept, theoretical laptop technology, and platforms engineering who're attracted to research and modeling of community dynamics in addition to their desktop simulations. must haves contain wisdom of calculus and uncomplicated discrete arithmetic. a few machine event and familiarity with ordinary differential equations and dynamical platforms are necessary yet no longer necessary.

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Xn ) and v = (x1 , . . , xn ) are adjacent if they differ in precisely one coordinate. Clearly, this is a graph with 2n vertices and (2n · n)/2 = n · 2n−1 edges. 2 The Adjacency Matrix of a Graph Let Y be a simple undirected graph with vertex set {v1 , v2 , . . , vn }. The adjacency matrix A or AY of Y is the n × n matrix with entries ai,j ∈ {0, 1} where the entry ai,j equals 1 if Y has {vi , vj } ∈ ˜e[Y ] and equals zero otherwise. Clearly, since Y is undirected, the matrix A is symmetric. The adjacency matrix of a simple directed graph is defined analogously, but it is generally not symmetric.

5. 18). [2] Note that a graph with no edges has one acyclic orientation. 18) is called a Tutte-invariant . 2 we will show how the acyclic orientations of a graph Y and the number a(Y ) are of significance in an area of mathematical biology. 17. 18), we will compute the number of acyclic orientations of Y = Circn for n ≥ 3. Pick the edge e = {0, n − 1}. Then we have Ye = Linen and Ye = Circn−1 , and thus a(Circn ) = a(Linen ) + a(Circn−1 ) = 2n−1 + a(Circn−1 ) . This recursion relation is straightforward to solve, and, using, for example, a(Circ3 ) = 6, we get a(Circn ) = 2n − 2.

2 Group Actions 53 Suppose we have O(e) = (v, v ). We observe that gO = O is equivalent to ∀ g ∈ G; O(ge) = g(O(e)) = (gv, gv ) . 27) In particular, we note that Fix(g) = Acyc(Y ) g . Our objective is to provide a combinatorial interpretation for the set Fix(g). We first give an example. 20. , gv1 = v3 , gv2 = v4 , and g −1 = g, v2 v1 and O = Y = v4 v3 Then we have O ∈ Acyc(Y ) g G v2 y v1 .  v4 o v3 : g(O({v1 , v2 })) = (v3 , v4 ) = O({v3 , v4 }) = O({gv1 , gv2 }), g(O({v1 , v4 })) = (v3 , v2 ) = O({v3 , v2 }) = O({gv1 , gv4 }) .

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