Assignment 4: Properties of Regular Languages

Slide Set 4 Assignment: Properties of Regular Languages

This assignment is designed to evaluate and consolidate your mastery of the closure properties of regular languages, decision algorithms (elementary questions), and the Pumping Lemma, synthesizing the rigorous theoretical frameworks of Michael Sipser (Chapter 1.4) with the constructive algorithmic proofs of Peter Linz (Chapter 4).


Section A: True or False Questions

For each question, select True or False and provide a rigorous mathematical justification.

Question 1

If $L_1$ is a regular language over $\Sigma$ and $L_2$ is any language over $\Sigma$ (not necessarily regular), then the right quotient $L_1 / L_2$ is guaranteed to be regular.

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Answer: True

Justification: By Definition 4.4, the right quotient is:

$$L_1 / L_2 = \{ x \in \Sigma^* \mid \exists y \in L_2 \text{ such that } xy \in L_1 \}$$

Let $M = (Q, \Sigma, \delta, q_0, F)$ be a DFA recognizing $L_1$. We construct a DFA $M' = (Q, \Sigma, \delta, q_0, F')$ recognizing $L_1 / L_2$ by modifying the set of accepting states $F'$. For each state $q \in Q$, we determine if there exists a string $y \in L_2$ such that processing $y$ starting from state $q$ leads to an accepting state in $F$:

$$F' = \{ q \in Q \mid \exists y \in L_2 \text{ such that } \delta^*(q, y) \in F \}$$
  • Correctness: A string $x$ is accepted by $M'$ if and only if $\delta^*(q_0, x) = q \in F'$, which by definition of $F'$ means there exists $y \in L_2$ such that $\delta^*(q, y) = \delta^*(q_0, xy) \in F$. This is true if and only if $xy \in L_1$ for some $y \in L_2$, which is the exact definition of $L_1 / L_2$.
  • Since $M'$ uses the exact same finite state set $Q$ and transition function $\delta$ as $M$, $M'$ is a valid DFA. Thus, $L_1 / L_2$ is regular. This closure property holds regardless of whether $L_2$ is regular, context-free, or completely undecidable.

Question 2

If $L_1$ is regular and $L_1 \cup L_2$ is regular, then $L_2$ must be regular.

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Answer: False

Justification: We prove this by counterexample. Let the alphabet be $\Sigma = \{a, b\}$.

  • Let $L_1 = \Sigma^*$, which is recognized by a simple 1-state DFA and is therefore regular.
  • Let $L_2 = \{ a^n b^n \mid n \geq 0 \}$, which is a classic non-regular language.
  • The union is: $$L_1 \cup L_2 = \Sigma^* \cup \{ a^n b^n \mid n \geq 0 \} = \Sigma^*$$ Since $\Sigma^*$ is regular, $L_1 \cup L_2$ is regular.
  • Thus, $L_1$ and $L_1 \cup L_2$ are both regular, but $L_2$ is non-regular, disproving the claim.

Question 3

The Pumping Lemma for regular languages is a necessary but not sufficient condition for regularity. Thus, if a language satisfies the conditions of the Pumping Lemma, it is not guaranteed to be regular.

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Answer: True

Justification: The Pumping Lemma states:

$$\text{Regular}(L) \implies \text{Satisfies Pumping Lemma}(L)$$

By contrapositive, we use its negation to prove a language is non-regular:

$$\neg \text{Satisfies Pumping Lemma}(L) \implies \neg \text{Regular}(L)$$

However, the converse ($\text{Satisfies Pumping Lemma}(L) \implies \text{Regular}(L)$) does not hold. For example, consider the non-regular language $L = \{ a^i b^j c^k \mid \text{if } i=1 \text{ then } j=k \}$. Even though $L$ is non-regular, we can “pump” any string $s \in L$ that has a length $\geq p$ if we choose the pumping part $y$ from the $a^*$ prefix (provided $|s| \geq p$), meaning it satisfies the Pumping Lemma conditions. Thus, satisfying the lemma does not prove regularity.


Question 4

Given standard DFA representations for two regular languages $L_1$ and $L_2$, we can decide whether $L_1 = L_2$ by constructing a DFA for the symmetric difference $(L_1 \cap \overline{L_2}) \cup (\overline{L_1} \cap L_2)$ and testing if its recognized language is empty.

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Answer: True

Justification: Let $L_3 = (L_1 \cap \overline{L_2}) \cup (\overline{L_1} \cap L_2)$ be the symmetric difference of $L_1$ and $L_2$.

  • If $L_1 = L_2$, then any string $w$ is either in both languages or in neither. Thus, $w$ cannot belong to $L_1 \cap \overline{L_2}$ (since $w \in L_1 \implies w \notin \overline{L_2}$) and cannot belong to $\overline{L_1} \cap L_2$. Hence, $L_3 = \emptyset$.
  • If $L_1 \neq L_2$, there exists at least one string $x$ that is in one language but not the other, meaning $x \in L_3$, so $L_3 \neq \emptyset$.
  • Since regular languages are closed under complement, intersection, and union, $L_3$ is regular. We can construct a DFA for $L_3$ and use the $ED_{DFA}$ decision algorithm (which checks for any reachable accepting state from the start state) to test if $L_3 = \emptyset$. This decides equality.

Section B: Multiple Choice Questions (MCQs)

Select all options that apply. You must justify your choices mathematically.

Question 5

Let $L_1$ be a regular language and $L_2$ be a non-regular language over $\Sigma$. Which of the following statements are always true?

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Correct Options: B, C

Justification:

  • A is incorrect: Let $L_1 = \emptyset$ (regular) and $L_2 = \{ a^n b^n \mid n \geq 0 \}$ (non-regular). Their intersection is $L_1 \cap L_2 = \emptyset$, which is regular.
  • B is correct: Suppose for contradiction that $L_2 - L_1 = R$ is regular. We can express $L_2$ as: $$L_2 = R \cup (L_2 \cap L_1)$$ Since $L_1$ is finite, any subset of $L_1$ (such as $L_2 \cap L_1$) must also be finite. Since all finite languages are regular, $L_2 \cap L_1$ is regular. Since regular languages are closed under union, $R \cup (L_2 \cap L_1) = L_2$ must be regular, which directly contradicts our premise that $L_2$ is non-regular.
  • C is correct: By definition, $L_1 \cap L_2 \subseteq L_1$. Since $L_1$ is finite, any subset of $L_1$ must also be finite. Since all finite languages are regular, $L_1 \cap L_2$ is guaranteed to be regular.
  • D is incorrect: Let $L_1 = \emptyset$ (regular) and $L_2 = \{ a^n b^n \mid n \geq 0 \}$ (non-regular). Their concatenation is $L_1 \cdot L_2 = \emptyset$, which is regular.

Question 6

Let $h: \Sigma^* \to \Gamma^*$ be a homomorphism. Which of the following statements regarding regularity are correct? (Select all that apply)

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Correct Options: A, C

Justification:

  • A is correct: Regular languages are closed under homomorphism (Theorem 4.3). If we have a regular expression $R$ for $L$, we get a regular expression for $h(L)$ by applying $h$ to each alphabet symbol in $R$.
  • B is incorrect: Let $\Sigma = \{a, b\}$ and $\Gamma = \{c\}$. Define $h$ by $h(a) = \varepsilon$ and $h(b) = \varepsilon$. Let $L = \{ a^n b^n \mid n \geq 0 \}$ (non-regular). Then $h(L) = \{\varepsilon\}$, which is finite and therefore regular. Thus, $h(L)$ is regular but $L$ is non-regular.
  • C is correct: Regular languages are closed under inverse homomorphism. If $M' = (Q, \Gamma, \delta', q_0, F')$ is a DFA for $L'$, we construct a DFA $M = (Q, \Sigma, \delta, q_0, F')$ for $h^{-1}(L')$ where the transition function is defined as $\delta(q, a) = \delta'^*(q, h(a))$. Since $M$ has the same finite state set $Q$, $h^{-1}(L')$ is regular.
  • D is incorrect: Let $\Sigma = \{a\}$ and $\Gamma = \{b\}$. Define $h$ by $h(a) = \varepsilon$. Let $L' = \{ b^n \mid n \text{ is a perfect square} \}$ (non-regular). Since $h(a) = \varepsilon$, for any $w \in \Sigma^*$, $h(w) = \varepsilon$. Since $\varepsilon = b^0 \in L'$ (as 0 is a perfect square), $h(w) \in L'$ is true for all $w \in \Sigma^*$. Thus, $h^{-1}(L') = \Sigma^*$, which is regular, but $L'$ is non-regular.

Section C: Analytical, Numerical, & Proof Questions

Provide complete, step-by-step mathematical derivations, formal state diagrams, and proofs.

Question 7 (Inductive Proof of Intersection Closure)

Let $M_1 = (Q_1, \Sigma, \delta_1, q_1, F_1)$ and $M_2 = (Q_2, \Sigma, \delta_2, q_2, F_2)$ be two DFAs recognizing $L_1$ and $L_2$ respectively.

  1. Define the Cartesian product DFA $M = (Q, \Sigma, \delta, q_0, F)$ that recognizes $L_1 \cap L_2$.
  2. Prove rigorously by induction on the length of the string $w \in \Sigma^*$ that: $$\delta^*(q_0, w) = (q_i, p_j) \iff \delta_1^*(q_1, w) = q_i \text{ and } \delta_2^*(q_2, w) = p_j$$
  3. Show how the choice of $F$ guarantees acceptance of $L_1 \cap L_2$.
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Part 1: Product DFA Construction

We define $M = (Q, \Sigma, \delta, q_0, F)$ where:

  • $Q = Q_1 \times Q_2 = \{ (r_1, r_2) \mid r_1 \in Q_1 \text{ and } r_2 \in Q_2 \}$
  • $q_0 = (q_1, q_2)$
  • $F = F_1 \times F_2 = \{ (r_1, r_2) \mid r_1 \in F_1 \text{ and } r_2 \in F_2 \}$
  • For each $(r_1, r_2) \in Q$ and $a \in \Sigma$: $$\delta((r_1, r_2), a) = (\delta_1(r_1, a), \delta_2(r_2, a))$$

Part 2: Inductive Proof

We prove the claim $\delta^*(q_0, w) = (\delta_1^*(q_1, w), \delta_2^*(q_2, w))$ by induction on $n = |w|$.

  • Base Case ($n = 0$): Let $w = \varepsilon$. By definition of the extended transition function $\delta^*$:

    $$\delta^*(q_0, \varepsilon) = q_0 = (q_1, q_2)$$

    Independently, for $M_1$ and $M_2$:

    $$(\delta_1^*(q_1, \varepsilon), \delta_2^*(q_2, \varepsilon)) = (q_1, q_2)$$

    The base case holds.

  • Inductive Hypothesis: Assume that for any string $v \in \Sigma^*$ of length $|v| = k \geq 0$, the transition holds:

    $$\delta^*(q_0, v) = (\delta_1^*(q_1, v), \delta_2^*(q_2, v))$$
  • Inductive Step ($n = k + 1$): Let $w = va$ where $|v| = k$ and $a \in \Sigma$. Applying the recursive definition of $\delta^*$:

    $$\delta^*(q_0, va) = \delta(\delta^*(q_0, v), a)$$

    Applying the Inductive Hypothesis to substitute $\delta^*(q_0, v)$:

    $$\delta^*(q_0, va) = \delta((\delta_1^*(q_1, v), \delta_2^*(q_2, v)), a)$$

    By our definition of the product transition function $\delta$:

    $$\delta((\delta_1^*(q_1, v), \delta_2^*(q_2, v)), a) = (\delta_1(\delta_1^*(q_1, v), a), \delta_2(\delta_2^*(q_2, v), a))$$

    Using the recursive definition of $\delta_1^*$ and $\delta_2^*$:

    $$(\delta_1(\delta_1^*(q_1, v), a), \delta_2(\delta_2^*(q_2, v), a)) = (\delta_1^*(q_1, va), \delta_2^*(q_2, va))$$

    Therefore, $\delta^*(q_0, w) = (\delta_1^*(q_1, w), \delta_2^*(q_2, w))$ holds for $|w| = k + 1$. By induction, this is true for all strings $w \in \Sigma^*$. $\blacksquare$


Part 3: Acceptance Guarantee

A string $w$ is accepted by $M$ if and only if:

$$\delta^*(q_0, w) \in F$$

By substituting our proven identity and the definition of $F$:

$$(\delta_1^*(q_1, w), \delta_2^*(q_2, w)) \in F_1 \times F_2 \iff \delta_1^*(q_1, w) \in F_1 \text{ and } \delta_2^*(q_2, w) \in F_2$$

This is true if and only if $w \in L_1$ and $w \in L_2$, meaning $w \in L_1 \cap L_2$. Thus, $L(M) = L_1 \cap L_2$.


Question 8 (Right Quotient State-Transition Analysis)

Let $\Sigma = \{a, b\}$. We have:

$$L_1 = L(a^*b(a \cup b)^*) \quad \text{and} \quad L_2 = L(b(a \cup b)^*b)$$
  1. Construct the minimal DFA $M_1$ recognizing $L_1$.
  2. Apply the state-filtering algorithm for right quotient (Theorem 4.4) to find the states $F'$ of $M_{L_1/L_2}$.
  3. Provide the regular expression for $L_1 / L_2$.
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Step 1: DFA for $L_1$

$L_1$ consists of all strings containing at least one $b$.

  • States $Q$: $\{q_0, q_1\}$ where $q_0$ is the start state (no $b$ read yet) and $q_1$ is the accept state (at least one $b$ read).
  • Transitions:
    • $\delta(q_0, a) = q_0$, $\delta(q_0, b) = q_1$
    • $\delta(q_1, a) = q_1$, $\delta(q_1, b) = q_1$
  • Accepting States $F_1$: $\{q_1\}$

Step 2: Applying Right Quotient State-Filtering

We must find for each state $q \in \{q_0, q_1\}$ if there exists some string $y \in L_2 = L(b(a \cup b)^*b)$ such that $\delta^*(q, y) \in F_1 = \{q_1\}$.

  1. Test State $q_1$:
    • Let $y = bb \in L_2$.
    • $\delta^*(q_1, bb) = q_1 \in F_1$.
    • Since a valid $y$ exists, $q_1 \in F'$.
  2. Test State $q_0$:
    • Any string $y \in L_2$ must start with the character $b$.
    • Processing the first symbol $b$ of $y$ from $q_0$ moves the machine to state $q_1$: $$\delta(q_0, b) = q_1$$
    • Since $q_1$ is a trap-accepting state (all subsequent transitions stay in $q_1$), processing the remainder of the string $y$ will keep the machine in $q_1$: $$\delta^*(q_0, y) = q_1 \in F_1$$
    • Since a valid $y$ exists (e.g., $bb \in L_2$), $q_0 \in F'$.

Thus, the new accepting state set is:

$$F' = \{q_0, q_1\}$$

Step 3: Regular Expression for $L_1 / L_2$

Since both states of our DFA are now accepting ($F' = \{q_0, q_1\}$), the modified machine accepts all strings in $\Sigma^*$. Therefore:

$$L_1 / L_2 = (a \cup b)^*$$

Intuitive Verification: For any string $x \in \Sigma^*$, we can append $y = bb \in L_2$ to form $w = xbb$. Since $w$ contains at least one $b$, $w \in L_1$. Since $xbb \in L_1$ and $bb \in L_2$, $x$ belongs to the quotient $L_1 / L_2$.


Question 9 (The Pumping Lemma Games)

Rigorously prove that the following languages are not regular:

  1. $L_a = \{ a^n b^k c^{n+k} \mid n, k \geq 0 \}$ using the standard Pumping Lemma.
  2. $L_b = \{ w \in \{a,b\}^* \mid n_a(w) \neq n_b(w) \}$ using the specialized prime-factorial pumping technique.
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Part 1: Non-regularity Proof for $L_a$

Suppose for contradiction that $L_a$ is regular. Let $p$ be the pumping length.

  • We choose the string: $$s = a^p b^p c^{2p}$$ Since $s \in L_a$ (with $n=p, k=p$) and $|s| = 4p \geq p$, the Pumping Lemma guarantees that $s$ can be split into $s = xyz$ satisfying:
    1. $|xy| \leq p$
    2. $|y| \geq 1$
    3. $xy^iz \in L_a$ for all $i \geq 0$.
  • Analyze the constraint $|xy| \leq p$: Since the first $p$ symbols of $s$ are entirely $a$’s, the substring $xy$ must consist entirely of $a$’s. Therefore, the pumpable string $y$ must be of the form: $$y = a^m \quad \text{for some } m \geq 1$$
  • Pumping down ($i = 0$): The pumped string is: $$s' = xy^0z = xz = a^{p-m} b^p c^{2p}$$ For $s'$ to belong to $L_a$, the number of $c$’s must equal the sum of the number of $a$’s and $b$’s: $$\text{Count}(c) = \text{Count}(a) + \text{Count}(b) \implies 2p = (p-m) + p \implies 2p = 2p - m \implies m = 0$$ This contradicts the requirement that $|y| \geq 1$ ($m \geq 1$). Thus, $L_a$ is not regular. $\blacksquare$

Part 2: Non-regularity Proof for $L_b$

Suppose for contradiction that $L_b = \{ w \in \{a,b\}^* \mid n_a(w) \neq n_b(w) \}$ is regular. Let $p$ be the pumping length.

  • Let $p!$ be the factorial of $p$ (which is divisible by all integers from 1 to $p$). We choose the string: $$s = a^p b^{p + p!}$$ Since $p \neq p + p!$ (as $p! \geq 1$), $s \in L_b$. Since $|s| = 2p + p! \geq p$, $s$ can be split into $s = xyz$ with $|xy| \leq p$ and $|y| \geq 1$.
  • Since $|xy| \leq p$, the substring $y$ consists entirely of $a$’s: $$y = a^k \quad \text{for some } 1 \leq k \leq p$$
  • We choose to pump the string to step $i + 1$ where $i = \frac{p!}{k}$. Since $1 \leq k \leq p$, $k$ divides $p!$, so $i$ is a valid integer.
  • Let’s evaluate the pumped string $s'$ for this choice of $i$: $$s' = xy^{i+1}z$$ The number of $a$’s in $s'$ is: $$\text{Count}(a) = p + i \cdot k = p + \left(\frac{p!}{k}\right) \cdot k = p + p!$$ The number of $b$’s remains unchanged: $$\text{Count}(b) = p + p!$$ Since $\text{Count}(a) = \text{Count}(b)$, the string $s'$ has an equal number of $a$’s and $b$’s. Thus, $s' \notin L_b$. This contradiction proves that $L_b$ is not regular. $\blacksquare$

Question 10 (Deciding DFA Equivalence via Symmetric Difference)

Consider two DFAs over $\Sigma = \{a, b\}$:

  1. Construct the Cartesian product DFA $M_{diff}$ that recognizes the symmetric difference language $(L(M_1) \cap \overline{L(M_2)}) \cup (\overline{L(M_1)} \cap L(M_2))$.
  2. Identify all reachable states and transitions in $M_{diff}$.
  3. Apply the $ED_{DFA}$ emptiness testing algorithm to prove whether $L(M_1) = L(M_2)$.
💡 View Solution

Step 1: Formulate Symmetric Difference State-Set

The product DFA states are $Q = Q_1 \times Q_2$.

  • Start state: $q_0 = (A, C)$
  • Symmetric difference accepting states are defined as: $$F_{diff} = (F_1 \times (Q_2 - F_2)) \cup ((Q_1 - F_1) \times F_2)$$
    • $F_1 = \{B\}$, so $Q_1 - F_1 = \{A\}$
    • $F_2 = \{D, E\}$, so $Q_2 - F_2 = \{C\}$ $$F_{diff} = (\{B\} \times \{C\}) \cup (\{A\} \times \{D, E\}) = \{(B, C), (A, D), (A, E)\}$$

Step 2: Compute Reachable Transitions

We trace transitions starting from $q_0 = (A, C)$:

  1. From State $(A, C)$:
    • On $a$: $(\delta_1(A, a), \delta_2(C, a)) = (B, D)$
    • On $b$: $(\delta_1(A, b), \delta_2(C, b)) = (A, C)$ (Self-loop)
  2. From State $(B, D)$:
    • On $a$: $(\delta_1(B, a), \delta_2(D, a)) = (B, E)$
    • On $b$: $(\delta_1(B, b), \delta_2(D, b)) = (A, C)$
  3. From State $(B, E)$:
    • On $a$: $(\delta_1(B, a), \delta_2(E, a)) = (B, E)$ (Self-loop)
    • On $b$: $(\delta_1(B, b), \delta_2(E, b)) = (A, C)$

Let’s check if any other states in $Q$ are reachable. The only reachable states are:

$$Q_{reachable} = \{(A, C), (B, D), (B, E)\}$$

Step 3: Emptiness Decision Algorithm

We apply the marking algorithm of Theorem 4.4 to check if any accepting state in $F_{diff}$ is reachable from our start state $q_0 = (A, C)$:

  • Iteration 1: Mark the start state: $$\text{Marked} = \{(A, C)\}$$
  • Iteration 2: Mark states with incoming transitions from marked states: $$\text{From } (A, C) \text{ on } a \to \text{Mark } (B, D)$$ $$\text{Marked} = \{(A, C), (B, D)\}$$
  • Iteration 3: Repeat the process: $$\text{From } (B, D) \text{ on } a \to \text{Mark } (B, E)$$ $$\text{Marked} = \{(A, C), (B, D), (B, E)\}$$
  • No more new states can be marked. The algorithm halts.

Now we compare our marked set with $F_{diff} = \{(B, C), (A, D), (A, E)\}$:

$$\text{Marked} \cap F_{diff} = \{(A, C), (B, D), (B, E)\} \cap \{(B, C), (A, D), (A, E)\} = \emptyset$$

Since no accepting states are marked, the symmetric difference language is empty. Therefore, we decide that:

$$L(M_1) = L(M_2)$$

Intuitive Verification: Both machines accept any string containing at least one $a$. $M_1$ transitions to state $B$ on the first $a$ and stays in $B$ (or returns to $A$ only on $b$). Actually, let’s verify if $M_1$ accepts strings ending in $a$. Yes, any string ending in $a$ lands in $B$. Any string ending in $b$ lands in $A$. For $M_2$: reading $a$ moves $C \to D \to E$. Reading $b$ always resets to $C$. Thus, any string ending in $a$ lands in $D$ or $E$ (accepting), and any string ending in $b$ resets to $C$ (non-accepting). Both DFAs recognize the exact same regular language $L = \{ w \in \{a,b\}^* \mid w \text{ ends with the character } a \}$, proving equivalence!


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