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Define the unique-sat problem to be \(U S A T=\\{\langle\phi\rangle \mid \phi\) is a Boolean formula that has a single satisfying assignment \(\\}\). Show that \(U S A T \in \mathrm{P}^{S A T}\).

Short Answer

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To show that \(USAT \in P^{SAT}\), we presented a polynomial-time algorithm that uses a SAT oracle to solve the USAT problem in three steps. Step 1 checks if the given Boolean formula \(\phi\) is satisfiable using the SAT oracle. In Step 2, we iteratively query the oracle to find a satisfying assignment for \(\phi\). In Step 3, we submit a new formula \(\psi\) to the oracle to check if there's a second satisfying assignment. If no second assignment exists, we conclude that \(\phi\) has a unique satisfying assignment and thus belongs to \(USAT\). The algorithm makes O(n) oracle calls, thus establishing that \(USAT \in P^{SAT}\).
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Step 1: Check if the formula is satisfiable

Firstly, we need to check if the given Boolean formula \(\phi\) is satisfiable or not. We can simply do this by submitting the formula \(\phi\) to the \(SAT\) oracle. If the oracle returns "unsatisfiable", we know that \(\phi\) has no satisfying assignments, and thus it cannot belong to \(USAT\).

Step 2: Find a satisfying assignment

If the oracle returns "satisfiable", we know that there is at least one satisfying assignment for \(\phi\). To find that assignment, we can iteratively query the \(SAT\) oracle for each variable \(x_i\) in the formula \(\phi\). For example, we could submit the formula \((\phi \wedge x_1)\) to the oracle. If the oracle returns "satisfiable", it indicates that there is a satisfying assignment where \(x_1\) is true. If the oracle returns "unsatisfiable", it means the satisfying assignment must have \(x_1\) set to false, and we can submit \((\phi \wedge \overline{x_1})\) as the new query. We can repeat this process for all variables in the formula, and after n queries, we will have a complete satisfying assignment for \(\phi\) (where n is the number of variables in \(\phi\)).

Step 3: Check for a second satisfying assignment

To ensure that \(\phi\) has only one satisfying assignment, we need to check if there is another satisfying assignment that is different from the one we found in Step 2. We can do this by submitting a new formula \(\psi\) to the \(SAT\) oracle, where \(\psi = (\phi \wedge \overline{s})\), where \(s\) represents the complete satisfying assignment we found in Step 2 (with \(\overline{s}\) being the negation of the entire assignment). If the oracle returns "unsatisfiable", it means there is no other satisfying assignment different from \(s\), and we can conclude that the given formula \(\phi\) has a unique satisfying assignment, and therefore belongs to \(USAT\). If the oracle returns "satisfiable", it indicates that there is at least one more satisfying assignment, and thus \(\phi\) is not in \(USAT\). In the worst case, the presented algorithm makes 1 initial query plus n queries for finding the satisfying assignment plus 1 additional query to check for a second satisfying assignment. Therefore, it runs in O(n) oracle calls, which corresponds to a polynomial-time complexity. As we have shown an algorithm that solves the \(USAT\) problem using a \(SAT\) oracle in polynomial time, we conclude that \(USAT \in P^{SAT}\).

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Most popular questions from this chapter

Chapter 9

Prove that an oracle \(C\) exists for which $\mathrm{NP}^{C} \neq \operatorname{coNP}^{C} .$

Chapter 9

A k-query oracle Turing macbine is an oracle Turing machine that is permitted to make at most \(k\) queries on each input. A \(k\)-query oracle Turing machine \(M\) with an oracle for \(A\) is written \(M^{A, k}\). Define \(\mathrm{P}^{A, k}\) to be the collection of languages that are decidable by polynomial time \(k\)-query oracle Turing machines with an oracle for \(A\). a. Show that $\mathrm{NP} \cup \operatorname{coNP} \subseteq \mathrm{P}^{\mathrm{SAT}, 1}$. b. Assume that \(\mathrm{NP} \neq \operatorname{coNP}\). Show that $\mathrm{NP} \cup \operatorname{coNP} \subsetneq \mathrm{P}^{S A T, 1}$.

Chapter 9

Give regular expressions with exponentiation that generate the following languages over the alphabet \(\\{0,1\\}\). A. All strings of length 500 \({ }^{A} \mathrm{~b} .\) All strings of length 500 or less A. All strings of length 500 or more A d. All strings of length different than 500 e. All strings that contain exactly \(5001 \mathrm{~s}\) f. All strings that contain at least 500 is g. All strings that contain at most 500 is h. All strings of length 500 or more that contain a 0 in the 500 th position i. All strings that contain two os that have at least 500 symbols between them

Chapter 9

^{*}\( that is defined as follows. Let \)p a d(s, l)=s \\#^{3}\(, where \)j=\max (0, l… # Consider the function pad: $\Sigma^{*} \times \mathcal{N} \longrightarrow \Sigma^{*} \\#^{*}\( that is defined as follows. Let \)p a d(s, l)=s \\#^{3}$, where \(j=\max (0, l-m)\) and \(m\) is the length of \(s\). Thus, pad \((s, l)\) simply adds enough copies of the new symbol # to the end of \(s\) so that the length of the result is at least \(l .\) For any language \(A\) and function $f: \mathcal{N} \longrightarrow \mathcal{N}\(, define the language \)p a d(A, f)$ as \(p a d(A, f)=\\{p a d(s, f(m)) \mid\) where \(s \in A\) and \(m\) is the length of \(s\\} .\) Prove that if \(A \in \operatorname{TIME}\left(n^{6}\right)\), then $\operatorname{pad}\left(A, n^{2}\right) \in \operatorname{TIME}\left(n^{3}\right) .$

Chapter 9

The containment TIME $\left(2^{n}\right) \subseteq \operatorname{TIME}\left(2^{2 n}\right)\( holds because \)2^{n} \leq 2^{2 n}$. The containment is proper by virtue of the time hierarchy theorem. The function \(2^{2 n}\) is time constructible because a TM can write the number 1 followed by \(2 n\) os in \(O\left(2^{2 n}\right)\) time. Hence the theorem guarantees that a language \(A\) exists that can be decided in $O\left(2^{2 n}\right)\( time but not in \)o\left(2^{2 n} / \log 2^{2 n}\right)=o\left(2^{2 n} / 2 n\right)\( time. Therefore, \)A \in \operatorname{TIME}\left(2^{2 n}\right)\( but \)A \notin \operatorname{TIME}\left(2^{n}\right) .$

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