Page 55 - HOW TO PROVE IT: A Structured Approach, Second Edition
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                                                   Operations on Sets                   41
                            diagram that the sets A ∩ B and A \ B do not overlap, and therefore they will
                            always be disjoint for any sets A and B. Another way to see this would be to
                            write out what it means to say that x ∈ (A ∩ B) ∩ (A \ B):

                                x ∈ (A ∩ B) ∩ (A \ B) means (x ∈ A ∧ x ∈ B) ∧ (x ∈ A ∧ x  ∈ B),
                                        which is equivalent to x ∈ A ∧ (x ∈ B ∧ x  ∈ B).

                            But this last statement is clearly a contradiction, so the statement x ∈ (A ∩
                            B) ∩ (A \ B) will always be false, no matter what x is. In other words, nothing
                            can be an element of (A ∩ B) ∩ (A \ B), so it must be the case that (A ∩ B) ∩
                            (A \ B) = ∅. Therefore, A ∩ B and A \ B are disjoint.
                              The next theorem gives another example of a general fact about set oper-
                            ations. The proof of this theorem illustrates that the principles of deductive
                            reasoning we have been studying are actually used in mathematical proofs.


                            Theorem 1.4.7. For any sets A and B, (A ∪ B) \ B ⊆ A.
                            Proof. We must show that if something is an element of (A ∪ B) \ B, then it
                            must also be an element of A, so suppose that x ∈ (A ∪ B) \ B. This means
                            that x ∈ A ∪ B and x  ∈ B, or in other words x ∈ A ∨ x ∈ B and x  ∈ B. But
                            notice that these statements have the logical form P ∨ Q and ¬Q, and this
                            is precisely the form of the premises of our very first example of a deductive
                            argument in Section 1.1! As we saw in that example, from these premises we
                            can conclude that x ∈ A must be true. Thus, anything that is an element of
                            (A ∪ B) \ B must also be an element of A,so(A ∪ B) \ B ⊆ A.

                              You might think that such a careful application of logical laws is not needed
                            to understand why Theorem 1.4.7 is correct. The set (A ∪ B) \ B could be
                            thought of as the result of starting with the set A, adding in the elements of
                            B, and then removing them again. Common sense suggests that the result will
                            just be the original set A; in other words, it appears that (A ∪ B) \ B = A.
                            However, as you are asked to show in exercise 9, this conclusion is incorrect.
                            This illustrates that in mathematics, you must not allow imprecise reasoning
                            to lead you to jump to conclusions. Applying laws of logic carefully, as we did
                            in our proof of Theorem 1.4.7, may help you to avoid jumping to unwarranted
                            conclusions.


                                                       Exercises

                             ∗
                              1. Let A ={1, 3, 12, 35}, B ={3, 7, 12, 20}, and C ={x | x is a prime
                                number}. List the elements of the following sets. Are any of the sets
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