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Why Read This Book? - Index of

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40 Chapter 1 Language and Mathematics<br />

1.5 How We Write Pro<strong>of</strong>s<br />

A theorem is a statement <strong>of</strong> the form U → V . To “prove” a theorem in the most<br />

abstract sense is to show that U → V is a tautology, for then we know that U is at<br />

least as strong as V . Thus, as we say, V follows from U, meaning that any context<br />

in which U is true will guarantee that V is also true.<br />

Only the most theoretical mathematicians approach theorems as tautologies,<br />

and even then such mathematicians are probably more interested either in the<br />

philosophy <strong>of</strong> mathematical reasoning or in formal methods as it relates to fields<br />

such as computer science. In this text, we do hope that some mathematical philosophy<br />

rubs <strong>of</strong>f on you. But we are primarily interested in pro<strong>of</strong>s as almost all<br />

mathematicians write them. Thus we focus on what it means to write a pro<strong>of</strong> in<br />

mathematical prose, so that it is accurate, clear, and readable. However, just so you<br />

will not feel cheated, we will provide one example (in Section 3.2) <strong>of</strong> a formalized<br />

theorem proved by demonstrating it is a tautology.<br />

If we are not going to use tautologies in our pro<strong>of</strong> writing, then why have we<br />

spent time studying logic and truth tables in this chapter? There are two primary<br />

reasons. One is that tautologies provide us with rules for valid reasoning that will<br />

undergird our mathematical writing. For example, in Exercise 1.2.4 you showed<br />

that [(p → q) ∧ p] →q is a tautology. <strong>This</strong> tautology is called the modus ponens,<br />

and it is one <strong>of</strong> several formalized rules <strong>of</strong> inference that comprise mathematical<br />

reasoning. If we assume p and that p → q, then the modus ponens rule <strong>of</strong> inference<br />

says we may therefore conclude q. It is not our purpose here to define all the rules<br />

<strong>of</strong> inference, though you have seen most <strong>of</strong> them at some point in this chapter.<br />

Exercise 1.2.4 contains the names <strong>of</strong> several rules <strong>of</strong> inference.<br />

The second reason we have studied logic and truth tables is that it will provide<br />

us with approaches to the writing <strong>of</strong> pro<strong>of</strong>s. In particular, we need to understand<br />

how to dissect mathematical statements (the term is to parse sentences) and see<br />

how they give order and structure to our pro<strong>of</strong>s. We also need to know that we can<br />

sometimes write pro<strong>of</strong>s by exploiting equivalent statements. Furthermore, a basic<br />

understanding <strong>of</strong> logic can immunize us from making certain fallacies—statements<br />

that are not tautologies and therefore not valid theorems.<br />

In this section, we want to outline the four types <strong>of</strong> demonstrations you will<br />

employ throughout this text when you are asked to compose a pro<strong>of</strong> <strong>of</strong> a mathematical<br />

proposition. Know that you will always use one <strong>of</strong> these methods <strong>of</strong> attack<br />

in any demonstration. Knowing which to choose depends on what your task is,<br />

and is illumined by experience.<br />

1.5.1 Direct Pro<strong>of</strong><br />

Most theorems are proved directly, which means that the statement <strong>of</strong> the theorem<br />

and its pro<strong>of</strong> fit into the following template.<br />

Theorem 1.5.1 (Sample). If p, then q.<br />

Pro<strong>of</strong>. Suppose p. Then .... Thus q.

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