IS CS-2018S1-02

题目来源Problem 2 日期:2024-08-07 题目主题:CS-形式语言与自动机-上下文无关文法

解题思路

本题涉及对上下文无关文法(Context-Free Grammar, CFG)的理解和操作,包括生成语言的描述、推导树的绘制、以及通过抽象结果证明某些语言不可由上下文无关文法生成。我们将依次回答每个小问题,提供详细的推导和证明。

Solution

Question 1

To derive the word in the grammar , we can construct the following syntax tree:

graph TB
    S --- A1[A] & A2[A]
    A1 --- a1[a] & A3[A] & b1[b]
    A3 --- a2[a] & A4[A] & b2[b]
    A4 --- c1[c]
    A2 --- c2[c]

Explanation:

  • Start from and use the rule .
  • For the left , we use followed by and then .
  • For the right , we use .

Question 2

To find the words such that:

  1. for every

Let’s consider :

  • , , , ,

This satisfies all the conditions:

  • For any , which is in because can be derived by applications of and then .

Question 3

To prove that for every context-free grammar there exists an integer such that for every word with , there exist words satisfying:

  1. for every

Proof Outline

  1. Chomsky Normal Form: Any CFG can be converted to Chomsky Normal Form (CNF) where each production is of the form or .
  2. Pumping Lemma for CFLs: If is derived by a CFG with more than derivations, some non-terminal must repeat due to the pigeonhole principle.
  3. Pumping Length : Choose as the maximum number of unique derivations before a non-terminal repeats.

Detailed Proof

  1. Derivation Tree: Consider a derivation tree for a word . In CNF, each internal node has two children, resulting in a binary tree structure.
  2. Repetition of Non-Terminals: If the length of exceeds , due to CNF and finite number of non-terminals, there must be a path from the root to a leaf with a repeated non-terminal.
  3. Decomposition into : The repeated non-terminal defines the segments and such that the string can be decomposed into .
  4. Pumping Condition: Repeating the repeated portion ( and ) any number of times results in words still derivable by , i.e., .

Question 4

1. Setup

Let’s assume, for the sake of contradiction, that is context-free.

2. Applying the Pumping Lemma

By the pumping lemma for context-free languages, there exists a pumping length such that for any string with , we can write where:

  1. for all

3. Choosing a String

Let’s choose the string . Clearly, and .

4. Analyzing the Decomposition

Now, . Due to condition 1, must be entirely within the first half of (i.e., within ) or entirely within the second half (i.e., within ), or it must straddle the middle.

5. Case Analysis

Case 1: is entirely within

In this case, pumping and will change the first half of the string but not the second half. Thus, because it’s no longer of the form .

Case 2: straddles the middle

In this case, or (or both) must contain both ‘s and ‘s. Pumping will change the number of ‘s and ‘s in a way that can’t be matched in both halves of the string. Thus, .

Case 3: is entirely within the second

This case is similar to Case 1. Pumping will change the second half of the string but not the first half, resulting in .

6. Conclusion

In all cases, we can find an (specifically, ) such that . This contradicts condition 3 of the pumping lemma.

Therefore, our initial assumption must be false, and is not context-free.

知识点

上下文无关文法Chomsky范式泵引理

解题技巧和信息

  1. 上下文无关文法的定义:包括推导树和语言生成的规则。
  2. Chomsky 范式:将 CFG 转换为 CNF,使每个产生式最多有两个非终结符,或一个终结符。
  3. Pump Lemma:关键工具,用于证明某些语言不是上下文无关语言。主要思想是超长的字符串可以被”泵出”,并且结果仍然在语言中。

重点词汇

  1. Context-Free Grammar 上下文无关文法
  2. Chomsky Normal Form Chomsky 范式
  3. Pumping Lemma Pumping 引理

参考资料

  1. Michael Sipser, Introduction to the Theory of Computation, Chapter 2: Context-Free Grammars and Languages.