Exercise 3: Is p -> q Equivalent to Its Converse q -> p? — Possible Solution ==================================================================== BUILDING BOTH TRUTH TABLES ------------------------------ p | q | p -> q | q -> p --|---|--------|-------- T | T | T | T T | F | F | T F | T | T | F F | F | T | T Working through q -> p specifically: per this chapter's own truth table for IMPLIES, "x -> y is false only when x is true and y is false." For q -> p: row 2 (p=T, q=F) means q=F, p=T, so q -> p has a false premise (q=F) and is therefore true, per the "false premise means true" rule from this chapter. Row 3 (p=F, q=T) means q=T (premise true) and p=F (conclusion false) - this is exactly the one case where an implication is false, so q -> p = F here. COMPARING THE TWO COLUMNS ------------------------------ p -> q gives: T, F, T, T q -> p gives: T, T, F, T These disagree in rows 2 and 3 - exactly two of the four possible combinations. Since logical equivalence requires matching on every row, p -> q and q -> p are NOT logically equivalent. A CONCRETE REAL-WORLD EXAMPLE ------------------------------ "If it is raining (p), then the ground is wet (q)" is a true statement in the ordinary sense - rain reliably wets the ground. Its converse, "If the ground is wet (q), then it is raining (p)," is false - the ground could be wet from a sprinkler, a spilled bucket, or someone hosing down a driveway, none of which involve rain at all. This is exactly row 3 from the truth table: q is true (the ground is wet) but p is false (it isn't raining), which is precisely the one case where an implication comes out false. WHY THIS DISTINCTION MATTERS BEYOND THIS ONE EXAMPLE ------------------------------ Confusing a true implication with its converse is a common real reasoning error - just because "if p then q" holds doesn't license concluding "if q then p" also holds. The rain/wet-ground example makes this concrete: observing a wet ground is not, by itself, sufficient evidence that it rained. WHY THIS WORKS AS AN ANSWER ------------------------------ It builds and explains both truth tables explicitly rather than just stating the conclusion, identifies precisely which rows disagree, and supplies a concrete, verifiable real-world scenario that demonstrates why a true implication doesn't guarantee its converse is also true.