deepseek/deepseek-chat-v3.1
Exercise 2: Reversed DFA
Subproblem a (6.0/10.0P)
Prompt
system:You are an AI assistant specializing in theoretical computer science. Your task is to answer a series of exam questions, providing accurate and well-reasoned responses that demonstrate a deep understanding of theoretical computer science concepts.
# Instructions
You must follow the given answer format.
If the exercises contains yes or no questions for you to answer, there will be one <option> element for each such question. You must answer these with either 0 or 1.
For longer answers, there will be <answer> elements. If the answer must follow a specific template, a corresponding <answer-template> element defines this template, and you MUST follow it precisely when providing your <answer>, as any deviations from the template will cause your answer to be invalid. A '?' symbol indicates a place for you to insert a short text, while a '???' symbol marks places for you to insert multi-line answers. To define the precise syntax to use, an <example> element may be provided. You MUST follow this syntax. However, note that the answers in the example may not be correct answers to the question.
Some questions relate to specific lecture material. In this case, the material will be provided in <context> elements for you to reference.
## Formatting
Always follow the format of the given exercise. If you are writing longer text, you can put text in *italics* or make it **bold**. Formulas should be given as LaTeX and enclosed properly, i.e. $...$ or \[...\].
user:# Exercise: Reversed DFA
## subproblem a (10.0 points)
Let $\Sigma\ne\emptyset$ and $M=(Q,\Sigma,\delta,q_0,F)$ be a DFA such that the automaton $M'=(Q,\Sigma,\delta',q_0,F)$, which is obtained by reversing all transitions in $M$, is also a DFA. Formally, we have $\delta'(r,c)=q$ for all $\delta(q,c)=r$. Prove or disprove: $L(M)$ is infinite or empty.
<options>
<option id="1">True</option>
<option id="2">False</option>
</options>
### answer format
Give your answer in the following format:
<option id="1">0 or 1</option>
<option id="2">0 or 1</option>
<answer id="3">
...
</answer>
Thoughts
First, the question is about a DFA M and its reversed version M'. M' is defined by reversing all transitions: δ'(r, c) = q for all δ(q, c) = r. I need to prove or disprove that L(M) is either infinite or empty. The options are True or False, and I have to choose one with 0 or 1. Option id="1" is True, and option id="2" is False. I need to output my answer in the specified format. I should think about what it means for M' to be a DFA. M' is defined with the same set of states, alphabet, initial state, and final states, but with transitions reversed. For M' to be a DFA, δ' must be a function from Q × Σ to Q. That means for every state r and every symbol c, there must be exactly one q such that δ(q, c) = r, because δ'(r, c) is defined to be that q. In other words, for every state r and every symbol c, there is exactly one state q such that when you read c in q, you go to r. This implies that in M, for every state and every symbol, there is exactly one predecessor state for that transition. But that's not necessarily true for a general DFA. In a DFA, δ is a function, so for each q and c, there is exactly one r, but here it's the reverse: for each r and c, there is exactly one q. So, the condition that M' is a DFA means that M has the property that for every state r and every symbol c, there is exactly one state q such that δ(q, c) = r. This is a strong condition on M. Now, I need to see what this implies about L(M). Is L(M) always infinite or empty? Let me consider small examples. Suppose Σ is non-empty, so there is at least one symbol. First, could L(M) be finite and non-empty? For example, suppose M has a finite language. But with this property, perhaps the automaton must be such that it can cycle or something. Another way to think: if for every state and symbol, there is exactly one incoming transition with that symbol, then the graph of M is such that each state has exactly |Σ| incoming edges, one for each symbol. In fact, since δ is a function, each state has exactly |Σ| outgoing edges. But here, with the reverse, each state has exactly |Σ| incoming edges. This means that the transition graph is a disjoint union of cycles or something? Not necessarily, because there might be multiple components. Actually, with this property, the automaton M is actually a permutation automaton or something similar. Let me denote n = |Q|. Since for each state r and each c, there is exactly one q with δ(q, c) = r, this means that for each fixed c, the function δ_c : Q → Q defined by δ_c(q) = δ(q, c) is a bijection. Because it's a function from Q to Q (since DFA), and for each r, there is exactly one q such that δ_c(q) = r, so it's surjective, and since Q is finite, it's bijective. So for each symbol c, δ_c is a permutation of Q. Therefore, M is a DFA where each symbol induces a permutation on the state set. Such automata are known to have certain properties. Now, what about the language L(M)? If M has no final states, F is empty, then L(M) is empty, which is fine, it's empty. If F is not empty, is L(M) necessarily infinite? Since each symbol induces a permutation, the automaton is reversible, and the language might be periodic or something. Consider a simple example. Suppose Q = {q0}, Σ = {a}, δ(q0, a) = q0, and F = {q0}. Then L(M) = a*, which is infinite. Now, is M' a DFA? δ'(q0, a) should be q, where δ(q, a) = q0. Since δ(q0, a) = q0, so δ'(q0, a) = q0. So yes, M' is a DFA. And L(M) is infinite. Another example: Q = {q0}, Σ = {a}, δ(q0, a) = q0, F = ∅. Then L(M) = ∅, which is empty. Now, can I have a finite non-empty language? Suppose Q = {q0, q1}, Σ = {a}, δ(q0, a) = q1, δ(q1, a) = q1, and F = {q0}. Then L(M) = {ε} if q0 is initial and final, but wait, is ε in L(M)? If q0 is final, then yes, ε is accepted. But let's check the reverse. M' should have δ'(r, a) = q where δ(q, a) = r. For r = q0, δ(q, a) = q0. Is there a q such that δ(q, a) = q0? From δ, δ(q0, a) = q1 ≠ q0, δ(q1, a) = q1 ≠ q0. So no q such that δ(q, a) = q0. Therefore, δ'(q0, a) is not defined, so M' is not a DFA. But the premise is that M' is a DFA, so this M does not satisfy the condition. So for M' to be DFA, we need that for every r and c, there is exactly one q with δ(q, c) = r. In this case, for c=a, and r=q0, no q, so not satisfied. Now, to have M' DFA, we need that for each state, there is an incoming transition for each symbol. So let's try to make a finite non-empty language. Suppose we want L(M) finite, say {w} for some string w. But with each symbol inducing a permutation, the automaton must be strongly connected or something? Not necessarily, but since each δ_c is bijection, the state set is partitioned into cycles under the action of the monoid, but actually, for each word, the transformation is a permutation, so the automaton is reversible, and languages accepted are often infinite if non-empty. In fact, I think that if F is non-empty, then L(M) is infinite. Because for any state, since the transitions are permutations, from any state, you can read any word and always have a path, and since the state set is finite, you will eventually cycle, so if a state is reachable and final, you can pump the word to get infinitely many words. More formally: since each δ_c is a permutation, the transformation monoid is a group, and the automaton is reversible. The initial state q0, and for any word w, δ(q0, w) is defined and is some state. Since the transformations are permutations, the set of states reachable from q0 is all states that are in the same connected component, but since it's a permutation, actually, from any state, you can reach any other state with some word, because the group acts transitively if it's a single cycle, but not necessarily. For example, suppose Q = {q0, q1}, Σ = {a}, and δ(q0, a) = q1, δ(q1, a) = q0. So a permutation: swap or cycle. Then if F = {q0}, L(M) consists of words with even number of a's, so (aa)*, which is infinite. If F = {q1}, words with odd number of a's, also infinite. Now, can I have a finite language? Suppose I have multiple states but make the language finite. For example, suppose Σ = {a}, Q = {q0, q1, q2}, and δ(q0, a) = q1, δ(q1, a) = q2, δ(q2, a) = q2, but then for c=a, and r=q2, δ(q2,a)=q2, and for r=q1, δ(q0,a)=q1, for r=q0, is there q with δ(q,a)=q0? δ(q0,a)=q1≠q0, δ(q1,a)=q2≠q0, δ(q2,a)=q2≠q0, so no, so M' is not DFA. To have M' DFA, for each r and c, must have δ(q,c)=r for some q. So in this case, for r=q0 and c=a, no q, so not satisfied. So to satisfy, for each state, there must be an incoming arrow for each symbol. In the permutation case, it is satisfied. But in a permutation automaton, if F is non-empty, L(M) is always infinite, because you can always extend words and due to cycling, you get infinitely many words. Is that true? What if the automaton has multiple components? But since each δ_c is a permutation, the state set is partitioned into cycles for each symbol, but actually, for a fixed symbol, it's a permutation, so the graph is a disjoint union of cycles for that symbol, but since there might be multiple symbols, it's more complex. However, the key point is that from any state, for any word, you can read it and stay in the automaton, and since the state set is finite, the behavior is periodic. Suppose there is a final state. Since q0 is initial, and for any word w, δ(q0, w) is defined. If δ(q0, w) is final for some w, then since the transformation is reversible, you can find words that lead to the same state, but actually, because of cycling, there are infinitely many words that lead to the same state, but not necessarily; if the automaton is such that all words lead to different states, but since state set is finite, that's impossible. The number of states is finite, so by pigeonhole principle, for long words, states repeat, so you can pump. More precisely: consider the set of all words. Since |Q| is finite, the number of possible states is finite, so the map w → δ(q0, w) cannot be injective for all w, so there exist two different words u and v such that δ(q0, u) = δ(q0, v). Then for any word x, δ(q0, u x) = δ(δ(q0, u), x) = δ(δ(q0, v), x) = δ(q0, v x). So if u x is in L(M), then v x is also in L(M) or something, but not directly. Since δ(q0, u) = δ(q0, v), let s = δ(q0, u). Then for any word z, δ(q0, u z) = δ(s, z) and δ(q0, v z) = δ(s, z), so u z and v z lead to the same state. So if s is final, then both u z and v z are accepted for all z, so if there is at least one z such that δ(s, z) is final, but s is fixed, and since the automaton is reversible, δ(s, z) can be any state potentially, but if F is non-empty, and since the group might act transitively, but not necessarily. In a permutation automaton, the set of states reachable from s might not be all states, but since each δ_c is bijection, the reachable set from any state is a strongly connected component. Actually, for a DFA where each symbol induces a permutation, the state set is partitioned into strongly connected components, and each component is a group or something. But key point: if F is non-empty, then there is some final state f. Since from q0, you can reach some state, but it might not reach f. The language is non-empty only if some final state is reachable from q0. Suppose some final state is reachable, say δ(q0, w) = f for some w. Now, since the transformations are permutations, the set of states that can be reached from f is a cycle or something. Actually, from f, for any word x, δ(f, x) is defined, and since the state set is finite, there is a cycle. In fact, the sequence δ(f, a^n) for n=0,1,2,... will eventually cycle. Since δ is a permutation, the state will cycle through a set of states. If f is in that cycle, then for infinitely many n, δ(f, a^n) is in the cycle, and if the cycle contains a final state, then infinitely many words are accepted. But in this case, since f is final, and the cycle might not have other final states, but δ(f, ε) = f is final, so for the word w ε = w, it is accepted. But for longer words, δ(f, x) might not be final. For example, suppose we have an automaton where from f, reading a goes to another state that is not final, and it cycles back to f after k steps. Then the words accepted are those where after w, we read a multiple of k a's or something. But since we can read any word, not just a's. Let's think generally. Since each δ_c is a permutation, the transformation monoid is a group, and the set of states is a disjoint union of orbits under the action of the monoid. From the initial state q0, the reachable states are the orbit of q0 under the monoid. Since the monoid is generated by permutations, the orbit is a set where the group acts transitively, so all states in the orbit are equivalent in some sense. Moreover, for any state in the orbit, the language from that state is periodic. Specifically, the language L(M) is the set of words w such that δ(q0, w) ∈ F. Since the transformation is by permutations, the function w → δ(q0, w) is such that the set of w mapping to a particular state is infinite if the orbit is non-trivial. In fact, for any state s in the orbit, the set of words w such that δ(q0, w) = s is either empty or infinite. Why? Because if there is a word u such that δ(q0, u) = s, then since the transformations are permutations, there is a word v such that δ(s, v) = s, and v ≠ ε, because otherwise, if no non-empty word fixes s, but since the group is finite, there must be a non-empty word that acts as identity on the orbit or something. Actually, since the monoid is a group, each element has an inverse, so for the transformation corresponding to u, there is a word u' such that δ(s, u') = q0 or something, but let's think. Let G be the group generated by the transformations δ_c for c ∈ Σ. Since each δ_c is a permutation, G is a permutation group on Q. The orbit of q0 under G is the set {δ(q0, g) for g in G}, but g is a transformation, so words. For a state s in the orbit, the stabilizer Stab(s) = {g in G | δ(s, g) = s} is a subgroup, and the cosets correspond to words mapping to s. Since G is finite (as it's a subgroup of S_n), the index [G : Stab(s)] is finite, and the number of words mapping to s is infinite because there are infinitely many words, but each group element corresponds to many words. Actually, the mapping from words to group elements is surjective onto the subgroup generated, but since there are multiple words for the same group element, the set of words w such that the transformation of w is a particular group element g is infinite if Σ is non-empty, because you can add identities or something. For example, if there is a word v such that δ(s, v) = s and v ≠ ε, then for any k, δ(s, v^k) = s, so the words w v^k for k≥0 all satisfy δ(q0, w v^k) = δ(δ(q0, w), v^k) = δ(s, v^k) = s, so if s is final, then all w v^k are accepted, so infinitely many. But if no non-empty word fixes s, that is, the stabilizer is trivial, then only ε fixes s, but since δ(s, ε) = s, but for non-empty words, δ(s, w) ≠ s for w ≠ ε. But in a finite group, if the stabilizer is trivial, then the orbit has size |G|, and for each s, there is exactly one group element g such that δ(q0, g) = s, but g is a transformation, and there are multiple words representing g. The key point is that since there are infinitely many words, and finitely many group elements, by pigeonhole principle, for each group element, there are infinitely many words that induce that transformation. Therefore, for any state s, if there is a word w such that δ(q0, w) = s, then there are infinitely many words w' such that δ(q0, w') = s, because the set of words inducing the same transformation as w is infinite. Is that true? Not necessarily, because if the monoid is not free, but in this case, the mapping from words to transformations is a homomorphism, and since the transformation monoid is finite, the kernel has infinite index or something. Actually, since Σ is non-empty, say |Σ| ≥ 1, there are infinitely many words, but the transformation monoid is finite, so by pigeonhole, many words induce the same transformation. Therefore, for each transformation g, the set {w | the transformation of w is g} is infinite, because you can add arbitrary words that act as identity, but if there is a word that acts as identity, then yes. In a group, the identity transformation is induced by some words, such as ε, but also if there is a word v such that δ(q, v) = q for all q, but not necessarily. For example, in the swap automaton with two states and one symbol a, the transformation for a is the swap, so for even number of a's, it's identity, for odd, it's swap. So the set of words inducing identity is (aa)*, which is infinite. Similarly, for any transformation, the set of words inducing it is infinite if the monoid is non-trivial. In general, for a finite transformation monoid that is a group, each group element is induced by infinitely many words, because the free monoid on Σ is infinite, and the homomorphism to the group is surjective, so the preimage of each group element is infinite. Yes, that's a key point: since the homomorphism φ: Σ* → G is surjective (because G is generated by the δ_c), and Σ* is infinite, and G is finite, each fiber φ^{-1}(g) is infinite for each g in G. Therefore, for any state s, if there is a word w such that δ(q0, w) = s, then let g be the transformation such that δ(q0, g) = s, but actually, δ(q0, w) = the transformation applied to q0. Define the transformation t_w such that t_w(q) = δ(q, w). Then t_w is an element of G. Now, δ(q0, w) = t_w(q0). For a fixed s, the set of w such that δ(q0, w) = s is {w | t_w(q0) = s}. Since the action of G on the orbit is transitive, for each s in the orbit, there exists g_s such that g_s(q0) = s. Then t_w(q0) = s if and only if t_w = g_s h for some h in Stab(q0), or something. The set of transformations that map q0 to s is a left coset of Stab(q0) in G. Specifically, let H = Stab(q0) = {g in G | g(q0) = q0}. Then the transformations that map q0 to s are exactly g_s H for some g_s such that g_s(q0) = s. Since G is finite, H has finite index, so there are finitely many cosets. But each coset corresponds to a set of transformations, and each transformation is induced by infinitely many words, as argued. Therefore, for each s, the set {w | t_w(q0) = s} is infinite, because it is the union of the preimages of the transformations in the coset, and each preimage is infinite. Therefore, if s is final, then there are infinitely many words accepted. If no final state is reachable, L(M) is empty. So, in all cases, if F is non-empty and reachable, L(M) is infinite; if F is empty or unreachable, L(M) is empty. But in our case, since M' is defined with the same F, and we assume M' is DFA, which implies the permutation property, so L(M) is either infinite or empty. Therefore, the statement is true. But is it possible that F is unreachable? Yes, but then L(M) is empty, which is fine. So, to answer: True. Now, for the answer format. I need to output: <option id="1">1</option> since True is id="1" <option id="2">0</option> for False. And then an answer with explanation. The answer should be in <answer id="3"> ... </answer> I need to provide a proof. So, let me write it. First, the condition that M' is a DFA implies that for every state r ∈ Q and every symbol c ∈ Σ, there is exactly one q ∈ Q such that δ(q, c) = r. This means that for each c ∈ Σ, the function δ_c : Q → Q defined by δ_c(q) = δ(q, c) is a bijection, i.e., a permutation of Q. Therefore, the transformation monoid of M is a group of permutations on Q. Now, the language L(M) is accepted by M. If F is empty, then L(M) = ∅. Otherwise, if F is non-empty, then since the initial state q0 is given, if no final state is reachable from q0, L(M) = ∅. If some final state f ∈ F is reachable, say δ(q0, w) = f for some w ∈ Σ*. Now, consider the homomorphism φ: Σ* → G, where G is the group generated by {δ_c | c ∈ Σ}, and φ(w) is the transformation t_w. Since G is finite and Σ* is infinite, for each g ∈ G, the set φ^{-1}(g) is infinite. Let H = Stab(q0) = {g ∈ G | g(q0) = q0}, which is a subgroup of G. The set of transformations that map q0 to f is a coset of H, say g_f H for some g_f such that g_f(q0) = f. Since H has finite index in G, and each coset contains infinitely many words in preimage, the set {w ∈ Σ* | t_w(q0) = f} is infinite. Therefore, there are infinitely many words w such that δ(q0, w) = f, so w ∈ L(M), hence L(M) is infinite. Thus, in all cases, L(M) is either empty or infinite. Therefore, the statement is true.
Answer
<option id="1">1</option> <option id="2">0</option> <answer id="3"> The statement is true. The condition that \(M'\) is a DFA implies that for every state \(r \in Q\) and every symbol \(c \in \Sigma\), there is exactly one \(q \in Q\) such that \(\delta(q, c) = r\). This means that for each \(c \in \Sigma\), the function \(\delta_c : Q \to Q\) defined by \(\delta_c(q) = \delta(q, c)\) is a bijection, i.e., a permutation of \(Q\). Consequently, the transformation monoid of \(M\) is a group of permutations on \(Q\). Now, consider \(L(M)\). If \(F = \emptyset\), then \(L(M) = \emptyset\). If \(F \neq \emptyset\), then if no final state is reachable from \(q_0\), \(L(M) = \emptyset\). If some final state \(f \in F\) is reachable, say \(\delta(q_0, w) = f\) for some \(w \in \Sigma^*\), then since the transformation monoid is a finite group and \(\Sigma^*\) is infinite, there are infinitely many words that map \(q_0\) to \(f\) under the transformation, so \(L(M)\) is infinite. Thus, in all cases, \(L(M)\) is either empty or infinite. </answer>
Let and be a DFA such that the automaton , which is obtained by reversing all transitions in , is also a DFA. Formally, we have for all . Prove or disprove: is infinite or empty.
☒True☐False
The statement is true. The condition that is a DFA implies that for every state and every symbol , there is exactly one such that . This means that for each , the function defined by is a bijection, i.e., a permutation of . Consequently, the transformation monoid of is a group of permutations on . Now, consider . If , then . If , then if no final state is reachable from , . If some final state is reachable, say for some , then since the transformation monoid is a finite group and is infinite, there are infinitely many words that map to under the transformation, so is infinite. Thus, in all cases, is either empty or infinite.
google/gemini-2.5-pro
Exercise 2: Reversed DFA
Subproblem a (10.0/10.0P)
Prompt
system:You are an AI assistant specializing in theoretical computer science. Your task is to answer a series of exam questions, providing accurate and well-reasoned responses that demonstrate a deep understanding of theoretical computer science concepts.
# Instructions
You must follow the given answer format.
If the exercises contains yes or no questions for you to answer, there will be one <option> element for each such question. You must answer these with either 0 or 1.
For longer answers, there will be <answer> elements. If the answer must follow a specific template, a corresponding <answer-template> element defines this template, and you MUST follow it precisely when providing your <answer>, as any deviations from the template will cause your answer to be invalid. A '?' symbol indicates a place for you to insert a short text, while a '???' symbol marks places for you to insert multi-line answers. To define the precise syntax to use, an <example> element may be provided. You MUST follow this syntax. However, note that the answers in the example may not be correct answers to the question.
Some questions relate to specific lecture material. In this case, the material will be provided in <context> elements for you to reference.
## Formatting
Always follow the format of the given exercise. If you are writing longer text, you can put text in *italics* or make it **bold**. Formulas should be given as LaTeX and enclosed properly, i.e. $...$ or \[...\].
user:# Exercise: Reversed DFA
## subproblem a (10.0 points)
Let $\Sigma\ne\emptyset$ and $M=(Q,\Sigma,\delta,q_0,F)$ be a DFA such that the automaton $M'=(Q,\Sigma,\delta',q_0,F)$, which is obtained by reversing all transitions in $M$, is also a DFA. Formally, we have $\delta'(r,c)=q$ for all $\delta(q,c)=r$. Prove or disprove: $L(M)$ is infinite or empty.
<options>
<option id="1">True</option>
<option id="2">False</option>
</options>
### answer format
Give your answer in the following format:
<option id="1">0 or 1</option>
<option id="2">0 or 1</option>
<answer id="3">
...
</answer>
Thoughts
**Conceptualizing the Automaton** I'm currently delineating the formal components of this new automaton, *M'*. Specifically, I am building out the state transition function and the final states, trying to reconcile how *M*'s characteristics will influence *M'*. This is the critical point where I think I can formalize a proof. **Defining DFA Constraints** I'm now focusing on how the totality property of $M'$ translates into constraints on $M$. Specifically, I'm examining how the transition function $\delta$ in $M$ must behave to ensure that for every state in $M'$ and input symbol, there's a uniquely defined state. The implications for the structure of $M$ are quite insightful. **Evaluating Permutations** I've determined that for each symbol, the transition function in the original DFA, *M*, defines a permutation on the states. The implications of the permutation property, considering the language $L(M)$, are starting to solidify. I'm considering cycles within the permutations and how they relate to accepting states. I'm also analyzing the implications of each $ \delta_c $ being a permutation on the language of M, focusing on properties like cycle structure and accessibility to the final states. I think I'm getting closer to establishing whether $L(M)$ is either infinite or empty. **Examining Cycle Structure** I'm now delving into the structure of the cycles formed by the permutations of the transition function. I'm considering how the cycles and the set of final states interact. I'm also looking at the implications of a finite language, and I have a suspicion I can achieve a contradiction. **Examining Permutation Properties** I'm now diving deeper into the implications of $\delta_c$ being permutations. I'm considering how the cycle structures of these permutations, combined with the start and accepting states, affect the language's finiteness. I'm aiming to use the cycle properties to reveal a contradiction when $L(M)$ is both finite and non-empty. **Connecting Concepts and Structure** I'm now analyzing how the permutation property affects the DFA's topology. Specifically, I'm connecting how reachability to accepting states and cycle structures within these permutations influence the language's properties. I'm developing a strategy to prove $L(M)$ must be infinite, or empty. **Revising Proof Strategy** I'm pivoting from the idea of no sink states. Instead, I am now focusing on the periodicity induced by the permutations, and how this impacts state traversal. My current effort is on how cycles from $\delta_c$ interact with any accepting path to show a contradiction, assuming a finite, non-empty language. **Proving Language Infinity** I've now solidified my understanding: with permutations induced by the transition function, every state inherently becomes part of a cycle. This means that if *M* accepts any string, there will always be cycles, and the language will be infinite. **Proving the Theorem** I'm now developing a formal proof for the theorem, assuming that if M' is also a DFA, the language of the original automaton, *L(M)*, is either infinite or empty. I've clearly established that every state is part of a cycle if the condition holds. I'm aiming for a contradiction to show the language is infinite, assuming the opposite. **Refining the Proof Structure** I'm now outlining the core steps of the proof: assuming $L(M)$ is both finite and non-empty. Then, by using the fact that the transition function defines permutations, and the fact that every state is part of a cycle, I hope to find a contradiction. **Concluding the Argument** I'm synthesizing the proof: assuming $L(M)$ is non-empty and $M'$ is a DFA, every state must belong to a cycle. Consequently, by the construction of the language from $M$, the language must be infinite. This finalizes the demonstration. **Concluding the Proof** I've finalized the proof: given that $M'$ is a DFA, it follows that for any symbol, the associated transition function is a permutation. This guarantees a cycle for every state. Consequently, any non-empty language *L(M)* must be infinite. Therefore, *L(M)* is either infinite or empty. **Proving Language Finiteness** I've assumed that a permutation ensures every state is part of a cycle. Now, I'll suppose that $L(M)$ is finite to reach a contradiction. My aim is to show that, given $L(M)$ is non-empty and finite, some $\delta_c$ can't be a permutation. **Synthesizing the Proof** I'm now structuring the core elements for the final demonstration. We know every state is part of a cycle because $M'$ is a DFA. Now I'm going to leverage this, along with the properties of a permutation, to ensure $L(M)$ is either infinite or empty. **Reiterating Permutations** I'm revisiting the core premise: the transition function in *M'* being a DFA means the transition functions in *M* are permutations. I'm reaffirming that because the transitions of M are reversed, each symbol in M must correspond to a permutation to maintain the DFA property. **Reiterating the Core Argument** I'm going back to the essential point: a DFA for the reverse transitions implies that the original transition functions are permutations, which then dictates that every state belongs to a cycle. I am trying to formalize this concept. **Finalizing the Demonstration** I'm now re-emphasizing the main point. Since $M'$ is a DFA, the transition function of $M$ must represent permutations. This means, every state is part of a cycle. Therefore, any non-empty language that's generated will inherently be infinite. **Refining Proof Conclusion** I'm now stating that the permutation constraint enforces a cyclical structure on the transition graph. From there, I show this structure, coupled with the non-emptiness of the language, directly implies infiniteness. **Reiterating Key Points** I'm re-emphasizing the initial premise. Because $M'$ is a DFA, the transition functions of $M$ are permutations. This fundamental characteristic ensures that every state resides on a cycle. **Concluding the Demonstration** I've confirmed the central idea: with $M'$ as a DFA, all transition functions in $M$ must be permutations. Consequently, every state belongs to a cycle. This confirms that if $L(M)$ is non-empty, it's also infinite. **Formalizing the Proof** I'm now focused on the logical construction of the formal proof, leveraging that the transition functions are permutations. The aim is to demonstrate that a language must be infinite if it is non-empty. The next step involves meticulously defining the key components and ensuring logical rigor.
Answer
<option id="1">1</option> <option id="2">0</option> <answer id="3"> The statement is True. Here is a proof. Let $M=(Q,\Sigma,\delta,q_0,F)$ be a DFA. The automaton $M'=(Q,\Sigma,\delta',q_0,F)$ is obtained by reversing all transitions, i.e., $\delta'(r,c)=q$ if and only if $\delta(q,c)=r$. We are given that $M'$ is also a DFA. We will show that this condition implies that either $L(M)$ is empty or $L(M)$ is infinite. 1. Analyzing the condition on $M'$ For $M'$ to be a DFA, its transition function $\delta': Q \times \Sigma \to Q$ must be well-defined. This means that for every state $r \in Q$ and every symbol $c \in \Sigma$, there must exist exactly one state $q \in Q$ such that $\delta'(r,c) = q$. Using the definition of $\delta'$, this condition translates to the properties of the original transition function $\delta$: For every state $r \in Q$ and symbol $c \in \Sigma$, there is exactly one state $q \in Q$ such that $\delta(q,c) = r$. This property means that for any fixed symbol $c \in \Sigma$, the function $\delta_c: Q \to Q$ defined by $\delta_c(q) = \delta(q,c)$ is a permutation of the finite set of states $Q$. A function on a finite set is a permutation if and only if it is a bijection (both injective and surjective). The condition directly states that $\delta_c$ is surjective for every $c$ (every state $r$ is an image), and since $Q$ is finite, this also implies it is injective. 2. Consequences for longer strings Let $w = c_1c_2\dots c_k$ be any non-empty string in $\Sigma^+$. The extended transition function for $w$, denoted $\hat{\delta}_w(q) = \hat{\delta}(q,w)$, is the composition of the functions for each symbol: $\hat{\delta}_w = \delta_{c_k} \circ \delta_{c_{k-1}} \circ \dots \circ \delta_{c_1}$. Since each $\delta_{c_i}$ is a permutation, and the composition of permutations is a permutation, the function $\hat{\delta}_w$ is also a permutation of $Q$ for any non-empty string $w$. 3. Every state is part of a cycle A key property of any permutation $\pi$ on a finite set $S$ is that for any element $s \in S$, repeated application of $\pi$ eventually returns to $s$. That is, there exists an integer $k \ge 1$ such that $\pi^k(s) = s$. This is a direct consequence of the finiteness of the orbit of $s$. Applying this to our DFA, let $q$ be any state in $Q$. Since we are given $\Sigma \ne \emptyset$, we can pick any symbol $c \in \Sigma$. From step 1, $\delta_c$ is a permutation. Thus, there exists an integer $k \ge 1$ such that $(\delta_c)^k(q) = q$. This is equivalent to $\hat{\delta}(q, c^k) = q$. Since $c^k$ is a non-empty string, this shows that every state $q \in Q$ is part of a cycle. 4. Proving "$L(M)$ is infinite or empty" This statement is equivalent to proving: *If $L(M)$ is non-empty, then $L(M)$ is infinite.* Assume $L(M)$ is non-empty. A language accepted by a DFA is infinite if and only if there exists a state that is reachable from the start state, can reach a final state, and is part of a cycle. Let's check these conditions for the start state $q_0$: 1. Reachability: $q_0$ is reachable from itself (by processing the empty string $\epsilon$). 2. Ability to reach a final state: We assumed $L(M)$ is non-empty. By definition, this means there is at least one string $w \in L(M)$. For this string, we have $\hat{\delta}(q_0, w) \in F$. This shows there is a path from $q_0$ to a final state. 3. Part of a cycle: From step 3, we proved that *every* state is part of a cycle, so $q_0$ must be part of a cycle. Let $v \ne \epsilon$ be a string such that $\hat{\delta}(q_0, v) = q_0$. Since $q_0$ satisfies all three conditions, the language $L(M)$ must be infinite. Specifically, if $w \in L(M)$ and $\hat{\delta}(q_0, v)=q_0$, then all strings of the form $v^i w$ for $i \ge 0$ are in $L(M)$. Because $v$ is non-empty, this constitutes an infinite set of strings. Conclusion We have shown that if $L(M)$ is non-empty, it must be infinite. Therefore, $L(M)$ is either empty or infinite. </answer>
Let and be a DFA such that the automaton , which is obtained by reversing all transitions in , is also a DFA. Formally, we have for all . Prove or disprove: is infinite or empty.
☒True☐False
The statement is True. Here is a proof. Let be a DFA. The automaton is obtained by reversing all transitions, i.e., if and only if . We are given that is also a DFA. We will show that this condition implies that either is empty or is infinite. 1. Analyzing the condition on For to be a DFA, its transition function must be well-defined. This means that for every state and every symbol , there must exist exactly one state such that . Using the definition of , this condition translates to the properties of the original transition function : For every state and symbol , there is exactly one state such that . This property means that for any fixed symbol , the function defined by is a permutation of the finite set of states . A function on a finite set is a permutation if and only if it is a bijection (both injective and surjective). The condition directly states that is surjective for every (every state is an image), and since is finite, this also implies it is injective. 2. Consequences for longer strings Let be any non-empty string in . The extended transition function for , denoted , is the composition of the functions for each symbol: . Since each is a permutation, and the composition of permutations is a permutation, the function is also a permutation of for any non-empty string . 3. Every state is part of a cycle A key property of any permutation on a finite set is that for any element , repeated application of eventually returns to . That is, there exists an integer such that . This is a direct consequence of the finiteness of the orbit of . Applying this to our DFA, let be any state in . Since we are given , we can pick any symbol . From step 1, is a permutation. Thus, there exists an integer such that . This is equivalent to . Since is a non-empty string, this shows that every state is part of a cycle. 4. Proving " is infinite or empty" This statement is equivalent to proving: If is non-empty, then is infinite. Assume is non-empty. A language accepted by a DFA is infinite if and only if there exists a state that is reachable from the start state, can reach a final state, and is part of a cycle. Let's check these conditions for the start state : 1. Reachability: is reachable from itself (by processing the empty string ). 2. Ability to reach a final state: We assumed is non-empty. By definition, this means there is at least one string . For this string, we have . This shows there is a path from to a final state. 3. Part of a cycle: From step 3, we proved that every state is part of a cycle, so must be part of a cycle. Let be a string such that . Since satisfies all three conditions, the language must be infinite. Specifically, if and , then all strings of the form for are in . Because is non-empty, this constitutes an infinite set of strings. Conclusion We have shown that if is non-empty, it must be infinite. Therefore, is either empty or infinite.
openai/gpt-5
Exercise 2: Reversed DFA
Subproblem a (10.0/10.0P)
Prompt
system:You are an AI assistant specializing in theoretical computer science. Your task is to answer a series of exam questions, providing accurate and well-reasoned responses that demonstrate a deep understanding of theoretical computer science concepts.
# Instructions
You must follow the given answer format.
If the exercises contains yes or no questions for you to answer, there will be one <option> element for each such question. You must answer these with either 0 or 1.
For longer answers, there will be <answer> elements. If the answer must follow a specific template, a corresponding <answer-template> element defines this template, and you MUST follow it precisely when providing your <answer>, as any deviations from the template will cause your answer to be invalid. A '?' symbol indicates a place for you to insert a short text, while a '???' symbol marks places for you to insert multi-line answers. To define the precise syntax to use, an <example> element may be provided. You MUST follow this syntax. However, note that the answers in the example may not be correct answers to the question.
Some questions relate to specific lecture material. In this case, the material will be provided in <context> elements for you to reference.
## Formatting
Always follow the format of the given exercise. If you are writing longer text, you can put text in *italics* or make it **bold**. Formulas should be given as LaTeX and enclosed properly, i.e. $...$ or \[...\].
user:# Exercise: Reversed DFA
## subproblem a (10.0 points)
Let $\Sigma\ne\emptyset$ and $M=(Q,\Sigma,\delta,q_0,F)$ be a DFA such that the automaton $M'=(Q,\Sigma,\delta',q_0,F)$, which is obtained by reversing all transitions in $M$, is also a DFA. Formally, we have $\delta'(r,c)=q$ for all $\delta(q,c)=r$. Prove or disprove: $L(M)$ is infinite or empty.
<options>
<option id="1">True</option>
<option id="2">False</option>
</options>
### answer format
Give your answer in the following format:
<option id="1">0 or 1</option>
<option id="2">0 or 1</option>
<answer id="3">
...
</answer>
Thoughts
**Analyzing subgroup properties** I'm thinking about whether the image of H is a subgroup generated by the images of Σ. For any element g in H, there’s a corresponding word that maps to it. However, for elements outside H, that's not the case. My focus is now on the target subset composed of permutations that map q0 to a state in F. This subset is nonempty if there's at least one g satisfying that condition, but if F is empty, the language is also empty.**Determining language properties** If there's an intersection, then some g produces an accepted state. This means that all words mapping to those g exist, and because of the identity power words, the preimage of that subset is infinite. Thus, the language is infinite. So, under the condition that Σ is not empty, and M is a permutation automaton, L(M) is either empty or infinite. Therefore, the statement "L(M) is infinite or empty" holds true. I need to provide proof following a specific format.**Examining permutations and orbits** I think δ_c is a permutation. Let G be the subgroup generated by the permutations {δ_c: c∈Σ}. For a word w in Σ*, δ_w represents a composition and is a permutation with a finite order that divides |G|. At least one letter a will have a finite positive order, meaning δ_{a^m} equals the identity. Now, the orbit of q0 under G is O = {δ_w(q0) : w∈Σ*}, which is finite. The language L(M) consists of words where δ_w(q0) is in F. If O and F don’t intersect, L is empty; if they do, I can find words in L based on this structure.**Establishing language infinitude** Distinct lengths lead to infinitely many different words, confirming that L is infinite. This holds true even if Σ has multiple letters. I do wonder about ε—it’s a word, but the infinite set includes countless words beyond just ε, so that's fine. We need to show that δ'(r,c)=q for all δ(q,c)=r defines a DFA only if the mapping is a bijection for each symbol, and I’ll include this in the proof. I'll ensure to use "Σ ≠ ∅" and follow the required format for clarity.
Answer
<option id="1">1</option> <option id="2">0</option> <answer id="3"> Because M′ is a DFA, δ′ must be total and single-valued. Hence for each c∈Σ, the map δ_c:Q→Q given by δ_c(q)=δ(q,c) is bijective (its inverse is δ′(·,c)). Thus M is a permutation (group) automaton: every letter acts as a permutation of Q. Let G be the finite group generated by {δ_c : c∈Σ}, and let O be the orbit of q₀ under G: O={g(q₀) : g∈G}. Then L(M) = { w∈Σ* : δ_w(q₀) ∈ F }. If O∩F=∅, then L(M)=∅. Otherwise pick s∈O∩F and u∈Σ* with δ_u(q₀)=s. Since Σ≠∅, choose any a∈Σ. The permutation δ_a has finite order m≥1, so δ_{a^m}=id. Hence for all k≥0, δ_{u a^{mk}}(q₀)=δ_u(q₀)=s∈F, so u a^{mk} ∈ L(M). These are infinitely many distinct words, so L(M) is infinite. Therefore L(M) is either empty or infinite. </answer>
Let and be a DFA such that the automaton , which is obtained by reversing all transitions in , is also a DFA. Formally, we have for all . Prove or disprove: is infinite or empty.
☒True☐False
Because M′ is a DFA, δ′ must be total and single-valued. Hence for each c∈Σ, the map δ_c:Q→Q given by δ_c(q)=δ(q,c) is bijective (its inverse is δ′(·,c)). Thus M is a permutation (group) automaton: every letter acts as a permutation of Q. Let G be the finite group generated by {δ_c : c∈Σ}, and let O be the orbit of q₀ under G: O={g(q₀) : g∈G}. Then L(M) = { w∈Σ* : δ_w(q₀) ∈ F }. If O∩F=∅, then L(M)=∅. Otherwise pick s∈O∩F and u∈Σ* with δ_u(q₀)=s. Since Σ≠∅, choose any a∈Σ. The permutation δ_a has finite order m≥1, so δ_{a^m}=id. Hence for all k≥0, δ_{u a^{mk}}(q₀)=δ_u(q₀)=s∈F, so u a^{mk} ∈ L(M). These are infinitely many distinct words, so L(M) is infinite. Therefore L(M) is either empty or infinite.