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Noncommutative signal-flow graph
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Noncommutative signal-flow graph : ウィキペディア英語版
Noncommutative signal-flow graph

In automata theory and control theory, branches of mathematics, theoretical computer science and systems engineering, a noncommutative signal-flow graph is a tool for modeling interconnected systems and state machines by mapping the edges of a directed graph to a ring or semiring.
A single edge weight might represent an array of impulse responses of a complex system (see figure to the right), or a character from an alphabet picked off the input tape of a finite automaton, while the graph might represent the flow of information or state transitions.
As diverse as these applications are, they share much of the same underlying theory.
==Definition==

Consider ''n'' equations involving ''n''+1 variables .
:x_i = \sum_^n a_x_j, \;\;\; 1\leq i \leq n,
with ''a''ij elements in a ring or semiring ''R''. The free variable ''x''0 corresponds to a source vertex ''v''0, thus having no defining equation. Each equation corresponds to a fragment of a directed graph ''G''=(''V'',''E'') as show in the figure.
The edge weights define a function ''f'' from ''E'' to ''R''. Finally fix an output vertex ''vm''. A signal-flow graph is the collection of this data ''S'' = (''G''=(''V'',''E''), ''v0'',''vm'' \in ''V'', ''f'' : ''E'' → ''R''). The equations may not have a solution, but when they do,
:x_m = T x_0,
with ''T'' an element of ''R'' called the gain.

抄文引用元・出典: フリー百科事典『 ウィキペディア(Wikipedia)
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