Minimization of DFA | Theory of Computation - Computer Science Engineering (CSE) PDF Download

Part IV. Minimization of DFA

For a given language, many DFAs may exist that accept it. The DFA we produce from an NFA may contain many dead states, inaccessible states and indistinguishable states. all these unnecessary states can be eliminated from a DFA through a process called minimization. For practical applications, it is desirable that number of states in the DFA is minimum.

The algorithm for minimising a DFA is as follows:
Step 1: Eliminate any state that cannot be reached from the start state.
Step 2: Partition the remaining states into blocks so that all states in the same block are equivalent, and no pair of
states from different blocks are equivalent.

The process is demonstrated using an example:
Example 1:
Minimise the following DFA,
Minimization of DFA | Theory of Computation - Computer Science Engineering (CSE)
Step 1: Eliminate any state that cannot be reached from the start state.
This is done by enumerating all the simple paths in the graph of the DFA beginning from the start state. Any state that is not part of some path is unreachable. In the above, the state q3 cannot be reached. So remove the corresponding to q3 from the transition table.
Now the new transition table is,
Minimization of DFA | Theory of Computation - Computer Science Engineering (CSE)
Step 2:
Divide the rows of the transition table into 2 sets as,
1. One set containing only those rows which starts from non-final states.
Set 1
Minimization of DFA | Theory of Computation - Computer Science Engineering (CSE)
2. Another set containing those rows which start from final states.
Set 2
Minimization of DFA | Theory of Computation - Computer Science Engineering (CSE)

Step 3a. Consider Set 1.
Find out the similar rows:
Minimization of DFA | Theory of Computation - Computer Science Engineering (CSE)
Row 2 and Row 6 are similar, since q1 and q7 transit to same states on inputs a and b. So remove one of them (for instance, q7) and replace q7 with q1 in the rest.
We get,
Set 1
Minimization of DFA | Theory of Computation - Computer Science Engineering (CSE)
Now Row 1 and Row 3 are similar. So remove one of them (for instance, q4) and replace q4 with q0 in the rest.
We get,
Set 1
Minimization of DFA | Theory of Computation - Computer Science Engineering (CSE)
Now there are no more similar rows.

Step 3b.
Consider Set 2,
Set 2
Minimization of DFA | Theory of Computation - Computer Science Engineering (CSE)
Do the same process for Set 2.
But it contains only one row. It is already minimized.

Step 4:
Combine Set 1 and Set 2
We get,
Minimization of DFA | Theory of Computation - Computer Science Engineering (CSE)
The DFA corresponding to this is,
Minimization of DFA | Theory of Computation - Computer Science Engineering (CSE)
Now this is a minimised DFA.
Transition diagram is,
Minimization of DFA | Theory of Computation - Computer Science Engineering (CSE)
Example 2:
Minimise the following DFA,
Minimization of DFA | Theory of Computation - Computer Science Engineering (CSE)
Step 1: Eliminate any state that cannot be reached from the start state.
This is done by enumerating all the simple paths in the graph of the DFA beginning from the start state. Any state that is not part of some path is unreachable. In the above, the states q2 and q4 cannot be reached. So remove the rows corresponding to q2 and q4 from the transition
table.
We get,
Minimization of DFA | Theory of Computation - Computer Science Engineering (CSE)
Step 2: Divide the rows of the transition table into 2 sets as,
1. One set containing only those rows which starts from non-final states.
Minimization of DFA | Theory of Computation - Computer Science Engineering (CSE)
2. Another set containing those rows which start from final states.
Minimization of DFA | Theory of Computation - Computer Science Engineering (CSE)
Step 3a. Consider Set 1.
Find out the similar rows:
Set 1
Minimization of DFA | Theory of Computation - Computer Science Engineering (CSE)
There are no similar rows.

Step 3b. Consider Set 2.
Find out the similar rows:
Minimization of DFA | Theory of Computation - Computer Science Engineering (CSE)
Row 1 and Row 2 are similar, since q3 and q5 transit to same states on inputs 0 and 1.
So remove one of them (for instance, q5) and replace q5 with q3 in the rest.
We get,
Minimization of DFA | Theory of Computation - Computer Science Engineering (CSE)
Step 4:
Combine Set 1 and Set 2
We get,
Minimization of DFA | Theory of Computation - Computer Science Engineering (CSE)
The DFA corresponding to this is,
Minimization of DFA | Theory of Computation - Computer Science Engineering (CSE)  
Now this is a minimised DFA.
Transition diagram is,
Minimization of DFA | Theory of Computation - Computer Science Engineering (CSE)
Exercise:
1. Minimise the following DFA represnted as transition table,
Minimization of DFA | Theory of Computation - Computer Science Engineering (CSE)
2. Minimise the following DFA represnted as transition table,
Minimization of DFA | Theory of Computation - Computer Science Engineering (CSE)
4. Minimise the following DFA represnted as transition table,
Minimization of DFA | Theory of Computation - Computer Science Engineering (CSE)
5. Minimise the following DFA represnted as transition table,
Minimization of DFA | Theory of Computation - Computer Science Engineering (CSE)
7. Minimise the following DFA represnted as transition table,
Minimization of DFA | Theory of Computation - Computer Science Engineering (CSE)

The document Minimization of DFA | Theory of Computation - Computer Science Engineering (CSE) is a part of the Computer Science Engineering (CSE) Course Theory of Computation.
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FAQs on Minimization of DFA - Theory of Computation - Computer Science Engineering (CSE)

1. What is DFA minimization in computer science engineering?
Ans. DFA minimization is a technique used in computer science engineering to reduce the number of states in a deterministic finite automaton (DFA) while preserving its functionality. It aims to create a more compact DFA with fewer states, which can lead to better performance and efficiency in various applications.
2. Why is DFA minimization important in computer science engineering?
Ans. DFA minimization is important in computer science engineering as it helps optimize the functionality and efficiency of a DFA. By reducing the number of states, it simplifies the DFA's structure, making it easier to understand, analyze, and implement. This can result in improved performance, reduced memory usage, and faster processing times in various computational tasks.
3. What are the benefits of minimizing a DFA?
Ans. Minimizing a DFA offers several benefits in computer science engineering. Firstly, it reduces the complexity of the DFA, making it easier to analyze and debug. Secondly, it improves the efficiency of the DFA by reducing the number of states and transitions, leading to faster processing times and reduced memory requirements. Lastly, a minimized DFA can enhance the overall performance of applications that rely on automata theory, such as compilers, pattern matching algorithms, and language processors.
4. How is DFA minimization achieved in computer science engineering?
Ans. DFA minimization is achieved through various algorithms and techniques in computer science engineering. One commonly used algorithm is the Hopcroft's algorithm, which partitions the states of the DFA into equivalence classes based on their behavior. These equivalence classes represent sets of states that cannot be distinguished by any input sequence, and merging them results in a minimized DFA. Other algorithms, such as Brzozowski's algorithm and Moore's algorithm, can also be used for DFA minimization.
5. What are the applications of DFA minimization in computer science engineering?
Ans. DFA minimization has numerous applications in computer science engineering. It is extensively used in the design and optimization of compilers, where minimizing the DFA representing the lexical analysis phase can significantly improve the performance of the compiler. DFA minimization is also employed in pattern matching algorithms, regular expression matching, language processors, network protocol analysis, and various other areas where automata theory plays a vital role in computational tasks.
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