IS CS-2024S-01
题目来源:Problem 1 日期:2024-08-16 题目主题:CS-Formal Languages-Finite Automata and Regular Languages
解题思路
- NFA Construction: For the language , we’ll design a non-deterministic finite automaton (NFA) that ensures the third symbol from the end is ‘a’.
- Regular Expression: We will describe the general language using regular expressions, expressing the constraint on the -th symbol from the last being ‘a’.
- Regularity of : We will determine whether the union of languages for is regular or not, using the pumping lemma as a tool.
- DFA State Count: We will prove that any deterministic finite automaton (DFA) accepting must have at least states by analyzing the state requirements to differentiate between possible suffixes of strings in the language.
Solution
Question 1: Non-deterministic Finite Automaton for
To construct an NFA that accepts , we need to ensure that the third symbol from the end is ‘a’. Here is the NFA:
- States:
- Alphabet:
- Transitions:
- From (start state):
- On reading any symbol or , move to (this loop represents reading any number of symbols at the start).
- On reading any symbol, move to (non-deterministically guess that we might be three symbols away from the end).
- From :
- On reading any symbol or , move to .
- From :
- On reading any symbol or , move to (final state).
- From (start state):
- Final State:
This NFA accepts a string if it non-deterministically guesses that it is three symbols away from the end, and then checks if the third-to-last symbol is ‘a’.
Question 2: Regular Expression for
To describe using a regular expression:
Here, represents any string of length , followed by the symbol ‘a’, and then followed by any string of arbitrary length. This ensures that the -th symbol from the end is ‘a’.
Question 3: Is a regular language?
Claim: The language is not a regular language.
Proof:
To prove that is not a regular language, we will use the pumping lemma. The pumping lemma states that if a language is regular, then any sufficiently long string in the language can be “pumped” — that is, a portion of the string can be repeated multiple times, and the resulting strings will still belong to the language.
String Selection
Let’s consider a string carefully crafted to belong to for some integer . For example, consider the string:
This string belongs to because the -th symbol from the end is ‘a’, and all other characters are ‘b’.
Pumping Lemma Application
Assume that is a regular language. Then by the pumping lemma, there exists a pumping length such that any string with length at least can be decomposed as , where:
- ,
- , and
- for all .
Given that , the substring is confined to the first characters, which consist entirely of ‘b’s followed by a single ‘a’ and another some ‘b’s. Thus, the substring consists of only ‘b’s (say for some ).
Pumped String
Consider the string . After pumping, the string becomes:
Here, the block of ‘b’s after the ‘a’ has increased by , shifting the position of the ‘a’ forward by positions. The length of is now greater than by .
Why May not Belong to Any
- Original Position: In the original string , the ‘a’ was exactly at the -th position from the end.
- New Position: After pumping, in , the ‘a’ is now at the -th position from the end.
For to belong to any , the position of ‘a’ from the end should be exactly for some integer . However:
- For , , meaning that may not be a perfect square number, so does not always belong to any .
- Therefore, the string for any .
Question 4: Minimum Number of States in a DFA for
Claim: Any DFA that accepts must have at least states.
Proof:
Consider the DFA accepting . This DFA must remember the last symbols it has seen in order to determine whether the -th symbol from the end is ‘a’.
There are possible sequences of symbols over the alphabet , and the DFA must distinguish between each of these sequences because each sequence can determine whether the current string belongs to . Thus, the DFA must have a unique state for each possible sequence of symbols.
Therefore, the DFA must have at least states to correctly accept all strings in .
知识点
语言的取并操作
重点词汇
- NFA: 非确定性有限自动机
- DFA: 确定性有限自动机
- Pumping Lemma: 抽象引理
- Regular Expression: 正则表达式
参考资料
- “Introduction to the Theory of Computation” by Michael Sipser, Chap. 1, 2
- “Automata Theory, Languages, and Computation” by Hopcroft, Motwani, and Ullman, Chap. 2