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Let \(A=[n: n \in \mathbb{N}\) and \(n=2 k+1\) for some \(k \in \mathbb{N}\\}, B=\mid n: n \in \mathbb{N}\) and \(n=\) \(4 k+1\) for some \(k \in \mathbb{N}\\},\) and \(C=\\{m \in \mathbb{N}: m=2 k-1\) and \(k \in \mathbb{N}\) and \(k \geq 11\). Prove the following: (a) \(35 \in A\) (b) \(35 \in C\) (c) \(35 \notin B\) (d) \(A=C\) (c) \(B \subseteq A\) (f) \(B \subseteq C\) (g) \(B \subset A\) (h) \(B \subset C\)

Short Answer

Expert verified
35 is in both sets A and C, but not in B. Set A equals set C, and B is a subset of both A and C, but strictly.

Step by step solution

01

Understanding Set A

The set \( A \) includes natural numbers \( n \) such that \( n = 2k+1 \) for some natural number \( k \). Essentially, \( A \) comprises all odd natural numbers.
02

Understanding Set B

The set \( B \) includes natural numbers \( n \) such that \( n = 4k+1 \). These are numbers that are 1 more than a multiple of 4.
03

Understanding Set C

The set \( C \) includes natural numbers \( m \) such that \( m = 2k-1 \) for \( k \geq 11 \). These are odd numbers starting from 21 (when \( k = 11 \)) and continuing upwards.
04

Prove that 35 is in Set A

Let \( n = 35 \). We need to find \( k \) such that \( 35 = 2k + 1 \). Solving for \( k \), we get: \( 35 - 1 = 2k \), so \( 34 = 2k \). Hence, \( k = 17 \). Thus, 35 is in set \( A \).
05

Prove that 35 is in Set C

Let \( m = 35 \). We need to find \( k \) such that \( 35 = 2k - 1 \). Solving for \( k \), we get: \( 35 + 1 = 2k \), so \( 36 = 2k \). Hence, \( k = 18 \), which satisfies \( k \geq 11 \). Thus, 35 is in set \( C \).
06

Prove that 35 is not in Set B

Let \( n = 35 \). We need to find \( k \) such that \( 35 = 4k + 1 \). Solving for \( k \), we get: \( 35 - 1 = 4k \), so \( 34 = 4k \). There is no integer \( k \) such that \( 4k = 34 \) (since \( 34/4 = 8.5 \)), meaning 35 is not in set \( B \).
07

Prove A equals C

Since both sets \( A \) and \( C \) start from number 21 onwards and include all odd numbers, they are equivalent. Thus, \( A = C \).
08

Prove B is a subset of A

Every element in \( B \) can be expressed as \( 4k+1 \), making it an odd number since \( 4 \times k \) is always even and adding 1 results in an odd number. Hence, every element of \( B \) also lies in \( A \), proving \( B \subseteq A \).
09

Prove B is a subset of C

The minimum in set \( B \) that fits \/ (\ is 1 more than a multiple of 4, which starts at 5 and increases as \( 4k+1 \) for \( k \geq 11 \). Since all such numbers are odd and greater than or equal to 21, they match the definition of \( C \), hence \( B \subseteq C \).
10

Prove B is a strict subset of A

Set \( B \) has only numbers of the form \( 4k+1 \), whereas \( A \) includes all odd numbers. Since \( B \) is a subset of the odd numbers but not all odd numbers are in \( B \), \( B \) is strictly a subset of \( A \), therefore \( B \subset A \).
11

Prove B is a strict subset of C

Similarly, \( B \) is made up of numbers \( 4k+1 \), while \( C \) comprises odd numbers calculated from odd values \( \geq 21 \). Since not all such numbers fit the pattern of \( 4k+1 \), \( B \) is strictly a subset of \( C \), thus \( B \subset C \).

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Key Concepts

These are the key concepts you need to understand to accurately answer the question.

Odd Numbers
Odd numbers are integers that are not divisible by 2. These numbers can be expressed in the form \( 2k + 1 \), where \( k \) is an integer. This expression is essential in identifying odd numbers because it signifies that after multiplying \( k \) by 2 (which yields an even result), adding 1 makes the outcome odd.

Odd numbers have a few defining characteristics:
  • Adjacent odd numbers have a consistent difference of 2. For instance, 3 and 5 or 9 and 11.
  • When an odd number is squared, the result is always odd. Similarly, multiplying two odd numbers results in an odd number.

In terms of set theory, the set of odd numbers is often represented in expressions such as \( 2k + 1 \) to form a basis for identifying numbers belonging to a specific pattern or rule, such as those in exercise sets like \( A \) and \( C \).

Thus, understanding odd numbers and how to represent them algebraically helps in various mathematical proofs and problems, such as those dealt with in this exercise.
Subsets
In set theory, a subset is essentially a set whose elements are entirely contained within another set, referred to as the superset. If set \( B \) is a subset of set \( A \), then every element in \( B \) is also in \( A \). This is denoted by \( B \subseteq A \).

To determine if one set is a proper subset of another, each element of the initial set must also be in the second set while ensuring there are elements in the second set not found in the first. In our exercise, \( B \) is shown to be a proper subset of \( A \) as \( B \subset A \) because \( B \) consists of numbers expressed as \( 4k + 1 \), making them odd, which automatically places them within the broader category of all odd numbers in \( A \).

Furthermore, there are higher implications of subsets when proving relationships between sets in mathematical theories. Set \( B \) can be seen as a proper subset of sets \( C \) as well, reinforcing the importance of set member criteria derived from expressions such as \( 4k+1 \), for structured problem solving and proofs.
Mathematical Proofs
Mathematical proof is a logical argument that verifies the truth of a mathematical statement beyond doubt. Proofs play a crucial role in mathematics, ensuring that a statement or theorem is universally valid.

There are several types of proofs, including:
  • Direct Proofs: These involve straightforward steps that lead from the premises of the theorem to the conclusion. Each step is logically derived, as seen when solving for instance, proof that 35 belongs to set \( A \).
  • Indirect Proofs: Also known as proof by contradiction, this method involves assuming the negation of the statement and reaching a contradiction, proving that the original assumption must be true.
  • Proof by Induction: Often used in proofs concerning integers, it shows that if a proposition holds for one integer, it holds for the next, thus concluding it holds for all integers.

In our exercise, we used direct proofs to establish which sets the number 35 belongs to or does not belong to. Each proof step demonstrated either inclusion or exclusion through calculations based on the given form of numbers in sets. Each step serves to logically cement the relationships and subsets defined in the problem statement.

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Most popular questions from this chapter

Write pseudocode for a program that, given a formula \(\phi,\) finds (i) a logically equivalent formula \(\phi^{\prime}\) in CNF and (ii) a logically equivalent formula \(\phi^{\prime \prime}\) in DNF. The algorithm should be recursive (similar to an induction on formulas) and should not involve the construction of truth tables. Prove the algorithm works. This gives an alternate proof of the theorem that every formula is equivalent to a formula in CNF.

Find the expression tree for the formula $$ \neg(p \wedge q) \leftrightarrow(\neg p \vee \neg q) $$ Evaluate the expression tree for all possible pairs of truth values for \(p\) and \(q\). Use these evaluations to prove this formula is a tautology.

Find formulas in DNF equivalent to each of the following formulas, and find at least two interpretations that make each formula satisfiable: (a) \(((p \rightarrow q) \rightarrow r) \rightarrow F\) (b) \(\neg(p \leftrightarrow q) \leftrightarrow r\) (c) \((\neg r) \rightarrow(((p \vee q) \rightarrow r) \rightarrow \neg q)\)

(a) Show that every formula containing only \(k\) (different) proposition letters is equivalent to a \(k-\mathrm{DNF}\) formula. (b) Show that \(p \leftrightarrow q\) is not equivalent to any 1 -DNF formula. (c) Show that for every natural number \(k\) (including 0 ), there is a formula containing only \(k+1\) (different) proposition letters that is not equivalent to any \(k-D N F\) formula.

The length of a clause is the number of literals in the clause. The length of a CNF formula is the sum of the length of its clauses. The number of excess literals in a CNF formula is the length of the formula minus the number of clauses in the formula. (a) Show that if an unsatisfiable set \(S\) of clauses contains only clauses of length 0 and 1 , it has a resolution refutation. (Hint: Prove the following: If \(S\) contains a clause of length 0 , it has [trivially] a resolution refutation. If, for some proposition letter \(p, S\) contains both \(p\) and \(\neg p,\) then \(S\) has a resolution refutation. Otherwise, \(S\) is satisfiable.) (b) Show that if a set \(\left\\{\lambda_{1} \vee \lambda_{2} \vee \ldots \vee \lambda_{k} \vee \lambda_{k+1}+\cup S(k \geq 1)\right.\) of clauses is un- satisfiable, so are \(\left\\{\lambda_{1} \vee \lambda_{2} \vee \lambda_{k}\right\\} \cup S\) and \(\left\\{\lambda_{k+1}\right\\} \cup S\). (Hint: For the first half, prove that if an interpretation \(I\) satisfies \(\left\\{\lambda_{1} \vee \lambda_{2} \vee \ldots \vee \lambda_{k}\right\\} \cup S,\) it also satisfies \(\left.\left\\{\lambda_{1} \vee \lambda_{2} \vee \cdots \vee \lambda_{k} \vee \lambda_{k+1}\right\\} \cup S_{.}\right)\) (c) Show that for \(k \geq 1,\) the number of excess literals in \(\left\\{\lambda_{1} \vee \lambda_{2} \vee \cdots \vee \lambda_{k}\right\\} \cup S\) and the number of excess literals in \(\left\\{\lambda_{k+1}\right\\} \cup S\) are both less than the number of excess literals in \(\left\\{\lambda_{1} \vee \lambda_{2} \vee \ldots \vee \lambda_{k} \vee \lambda_{k+1}\right\\} \cup S\). (d) A resolution derivation of a clause \(r_{k}\) from a set \(S\) of clauses is a sequence \(r_{0}, r_{1}, r_{2}, \ldots, r_{k}\) of clauses where each \(r_{l}\) is either an element of \(S\) or a resolvant of two previous \(r\) 's. (Thus, resolution refutation of \(S\) is just a resolution derivation of \(F\) from \(S .\) ) Show that if there is a resolution derivation of \(\lambda\) from \(S\) and a resolution refutation of \(S \cup\\{\lambda\\},\) then there is a resolution refutation of \(S .\) (e) Prove that if there is a resolution refutation \(\rho\) of \(\left\\{\lambda_{1} \vee \lambda_{2} \vee \ldots \vee \lambda_{k}\right\\} \cup S,\) then either (i) there is a resolution refutation of \(\left.\mid \lambda_{1} \vee \lambda_{2} \vee \cdots \vee \lambda_{k} \vee \lambda_{k+1}\right\\} \cup S\) or (ii) there is a resolution derivation of \(\lambda_{k+1}\) from \(\lambda_{1} \vee \lambda_{2} \vee \ldots \vee \lambda_{k} \vee \lambda_{k+1} \cup S\). (Hint: Prove this by induction on the length \(\rho\). You will have to add \(\lambda_{k+1}\) as a disjunct to some of the clauses in \(\rho\). It is not true in general that if \(S \models \lambda\), then there is a resolution derivation of \(\lambda\) from \(S .\) ) (f) Prove that resolution refutation is complete.

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