Consider the language L given by (assume Σ = { 2 } ) L = {2 nk | k > 0, and n is non − negative integer number}
n + 1
The language L is given by \(L = \{2^{nk} \mid k > 0, \text{ and } n \text{ is non − negative integer number}\}\). The alphabet is \(\Sigma = \{2\}\), meaning strings are sequences of the symbol '2'. The notation \(2^m\) represents the string consisting of '2' repeated \(m\) times. For example, \(2^3 = 222\). The length of the string \(2^m\) is \(m\).
The definition of the language involves exponents of the form \(nk\), where \(k\) is a positive integer (\(k \in \{1, 2, 3, \dots\}\)) and \(n\) is a non-negative integer (\(n \in \{0, 1, 2, 3, \dots\}\)).
The presence of 'n' in the options suggests that 'n' is a fixed parameter defining the specific language we are considering, rather than a variable that ranges over all non-negative integers within the set definition itself. If 'n' were a variable in the set definition, the language would be the union of languages defined by each possible value of 'n'. Let's explore this possibility briefly:
If 'n' in the language definition was a variable, the language L would be the union of all these sets: \(\{\epsilon\} \cup \{2^1, 2^2, \dots\} \cup \{2^2, 2^4, \dots\} \cup \{2^3, 2^6, \dots\} \cup \dots\). The set of all exponents would be \(\{0, 1, 2, 3, \dots\}\). The language would be \(L = \{2^m \mid m \ge 0\} = \{2\}^* = \{\epsilon, 2, 22, 222, \dots\}\). The minimum DFA for \(2^*\) has 1 state. However, none of the options evaluate to 1 for arbitrary non-negative integer \(n\).
Therefore, the most likely interpretation, consistent with the options provided, is that \(n\) represents a fixed non-negative integer parameter for which we need to find the minimum number of DFA states.
Let's assume \(n\) is a fixed non-negative integer, and \(L_n = \{2^{nk} \mid k > 0\}\).
We need to construct a minimal DFA for \(L_n = \{w \mid |w| > 0 \text{ and } |w| \pmod n = 0\}\) for \(n \ge 1\).
To accept strings whose length is a positive multiple of \(n\), a DFA needs to keep track of the length of the input string modulo \(n\). However, it also needs to distinguish the case of length 0 from positive lengths that are multiples of \(n\).
Let's define states based on the length modulo \(n\), but separating the initial state representing length 0.
We need \(1 + n = n+1\) states: \(q_{start}, q_0, q_1, \dots, q_{n-1}\).
Transitions:
Final states:
A string \(w\) is accepted if it is non-empty and its length is a multiple of \(n\). A non-empty string \(w\) of length \(m\) ends up in state \(q_{m \pmod n}\).
If \(|w| \pmod n = 0\), the string ends in state \(q_0\).
Since strings in \(L_n\) have positive length that is a multiple of \(n\), they end up in state \(q_0\), and they should be accepted. Therefore, \(q_0\) is a final state.
Strings with length \(\equiv i \pmod n\) where \(i \in \{1, \dots, n-1\}\) are not in \(L_n\). These end up in states \(q_1, \dots, q_{n-1}\). These states are not final.
Summary of the DFA:
This DFA has \(1 + n = n+1\) states.
To show this is the minimum number of states, we can argue that all \(n+1\) states are distinguishable.
All \(n+1\) states are distinguishable, so the minimum number of states required is \(n+1\).
This result matches option 2.
Based on the analysis where 'n' is a fixed positive integer parameter, the language consists of strings of '2's whose length is a positive multiple of 'n'. The minimum number of states in a DFA accepting this language is \(n+1\).
The interpretation for \(n=0\) leads to 2 states, which is not \(n+1=1\), suggesting the problem intends \(n \ge 1\) or there is an inconsistency for \(n=0\). Given the options, the result \(n+1\) for \(n \ge 1\) is the intended answer.
| State | Meaning (Length mod n) | Final? (\(n \ge 1\)) |
|---|---|---|
| \(q_{start}\) | Length 0 (Initial) | No |
| \(q_0\) | Non-empty length \(\equiv 0 \pmod n\) | Yes |
| \(q_1\) | Non-empty length \(\equiv 1 \pmod n\) | No |
| ... | ... | ... |
| \(q_{n-1}\) | Non-empty length \(\equiv n-1 \pmod n\) | No |
| Concept | Description |
|---|---|
| Finite Automaton (FA) | A mathematical model of computation used to design machines that recognize regular languages. Can be Deterministic (DFA) or Non-deterministic (NFA). |
| DFA States | Represent information about the prefixes of the input string that have been read so far, relevant to language acceptance. |
| Minimum States | The smallest number of states required in any DFA that accepts a given regular language. Unique for every regular language. Found using state minimization algorithms or by identifying distinguishable prefixes. |
| Language \(L_n = \{2^{nk} \mid k > 0\}\) | Set of strings of '2's whose length is a positive multiple of a fixed integer \(n \ge 1\). |
| Modulo Arithmetic in DFA | Often used to count occurrences of symbols or track properties (like length) relative to a modulus, useful for languages involving repetition or fixed lengths. |
The language \(L_n = \{2^{nk} \mid k > 0\}\) for a fixed \(n \ge 1\) is a regular language. Regular languages are precisely those that can be accepted by finite automata. The set of regular languages over a single-symbol alphabet \(\Sigma=\{a\}\) is the set of languages of the form \(a^S\) where \(S\) is a semilinear set of non-negative integers.
In our case, for \(n \ge 1\), the set of lengths is \(\{n, 2n, 3n, \dots\} = \{m \mid m = nk, k \ge 1\}\). This set is arithmetic progression, which is a simple form of a semilinear set.
For \(n=0\), the set of lengths is \(\{0\}\), also a semilinear set.
Every regular language has a unique minimum-state DFA (up to isomorphism). Algorithms like the Myhill-Nerode theorem or partitioning algorithms (like Hopcroft's algorithm) are used for DFA minimization.
The Myhill-Nerode theorem states that the minimum number of states in a DFA for a language L is equal to the number of equivalence classes of the Myhill-Nerode relation (\(u \sim_L v\) if and only if for all strings \(w\), \(uw \in L \Leftrightarrow vw \in L\)). The distinguishable states identified in our construction correspond directly to these equivalence classes.
How many states are there in a minimum state automata equivalent to regular expression given below?
Regular expression is a * b(a + b)Two finite state machines are said to be equivalent if they:
Finite state machine can recognize language generated by ________.