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The key thing about the Suffx Substitution Closure property is that it does not make any explicit reference to the automaton that recognizes the language.
While the argument that establishes it is based on the properties of a Myhill graph that we know must exist, those properties are properties of Myhill graphs in general and don't depend on the speci?cs of that particular graph. This lets us reason about the strings in an SL2 language without having to actually produce the automaton that recognizes it. Perhaps more importantly, it lets us establish that a particular language is not SL2 by supposing (counterfactually) that it was SL2 and showing that Suffx Substitution Closure would then imply that it included strings that it should not.
1. Does above all''s properties can be used to prove a language regular? 2..which of the properties can be used to prove a language regular and which of these not? 3..Identify one
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how to understand DFA ?
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#Your company has 25 licenses for a computer program, but you discover that it has been copied onto 80 computers. You informed your supervisor, but he/she is not willing to take an
example of multitape turing machine
The fundamental idea of strictly local languages is that they are speci?ed solely in terms of the blocks of consecutive symbols that occur in a word. We'll start by considering lan
Sketch an algorithm for the universal recognition problem for SL 2 . This takes an automaton and a string and returns TRUE if the string is accepted by the automaton, FALSE otherwi
Let G be a graph with n > 2 vertices with (n2 - 3n + 4)/2 edges. Prove that G is connected.
Generate 100 random numbers with the exponential distribution lambda=5.0.What is the probability that the largest of them is less than 1.0?
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