[PDF] Truth Tables Tautologies and Logical Equivalences





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Truth tables

Jan 18 2016 3 - combinational logic 1. Jan. 18



Logic and Truth Tables.pdf

If there are three variables (p q



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Truth Tables Tautologies and Logical Equivalences

The truth or falsity of P ? (Q? ¬R) depends on the truth or falsity of P Q and R A truthtableshows how the truth or falsity of a compound statement depends on the truth or falsity of the simple statements from which it’s constructed So we’ll start by looking at truth tables for the ?ve logical connectives Here’s the table for



Searches related to truth table for 3 variables PDF

Go inside parentheses first and plug in truth values Then go outside parentheses The example below is a negation (?) of a conditional (?) The truth of the entire WFF is found in the column under the negation symbol The truth value is the reverse of the value under the conditional symbol

How do you construct a truth table with three variables?

The OR of all of the cluster expressions gives you the overall expression. You should end up with $$ A = X cdot Y + X' cdot Z' $$ or something equivalent. Draw truth table of 2, 3 and 4 variable, you can draw truth table of any variable by this method Truth Table for a Three Variable Proposition

How many combinations of 3 variables are there in a truth table?

Note that there are eight lines in the truth table in order to represent all the possible states (T, F) for the three variables p, q, and r. As each can be either TRUE or FALSE, in total there are 2 3 = 8 possibilities.

How do you calculate the number of rows in a truth table with three variables?

Therefore, if there are N N variables in a logical statement, there need to be 2^N 2N rows in the truth table in order to list out all combinations of each variable being either true (T) or false (F). For example, if there are three variables, A, B, and C, then the truth table with have 8 rows:

How does a truth table help in boolean algebra or boolean functions?

Truth Table is used to perform logical operations in Maths. These operations comprise boolean algebra or boolean functions. It is basically used to check whether the propositional expression is true or false, as per the input values. This is based on boolean algebra.

2-19-2020

Truth Tables, Tautologies, and Logical Equivalences Mathematicians normally use atwo-valued logic: Every statement is eitherTrueorFalse. This is called theLaw of the Excluded Middle.

A statement in sentential logic is built from simple statements using the logical connectives¬,?,?,→,

and↔. The truth or falsity of a statement built with these connective depends on the truth or falsity of its

components.

For example, the compound statementP→(Q? ¬R) is built using the logical connectives→,?, and

¬. The truth or falsity ofP→(Q? ¬R) depends on the truth or falsity ofP,Q, andR. Atruth tableshows how the truth or falsity of a compound statement depends on the truth or falsity

of the simple statements from which it"s constructed. So we"ll startby looking at truth tables for the five

logical connectives.

Here"s the table for negation:

P¬P

TF FT This table is easy to understand. IfPistrue, its negation¬Pisfalse. IfPisfalse, then¬Pistrue. P?Qshould betruewhen bothPandQaretrue, andfalseotherwise: PQP?Q TTT TFF FTF FFF P?Qistrueif eitherPistrueorQistrue(or both - remember that we"re using "or" in the inclusive sense). It"s onlyfalseif bothPandQarefalse. PQP?Q TTT TFT FTT FFF

Here"s the table for logical implication:

PQP→Q

TTT TFF FTT FFT To understand why this table is the way it is, consider the following example: "If you get an A, then I"ll give you a dollar." 1 The statement will betrueif I keep my promise andfalseif I don"t. Suppose it"struethat you get an A and it"struethat I give you a dollar. Since I kept my promise, the implication istrue. This corresponds to the first line in the table.

Suppose it"struethat you get an A but it"sfalsethat I give you a dollar. Since Ididn"tkeep my promise,

the implication isfalse. This corresponds to the second line in the table.

What if it"s false that you get an A? Whether or not I give you a dollar, Ihaven"t broken my promise.

Thus, the implication can"t be false, so (since this is a two-valued logic)it must be true. This explains the

last two lines of the table. P↔Qmeans thatPandQareequivalent. So the double implication istrueifPandQare both trueor ifPandQare bothfalse; otherwise, the double implication is false.

PQP↔Q

TTT TFF FTF FFT You should remember - or be able to construct - the truth tables for the logical connectives. You"ll

use these tables to construct tables for more complicated sentences. It"s easier to demonstrate what to do

than to describe it in words, so you"ll see the procedure worked outin the examples.

Remark.(a) When you"re constructing a truth table, you have to consider all possible assignments of True

(T) and False (F) to the component statements. For example, suppose the component statements areP,Q, andR. Each of these statements can be either true or false, so there are 23= 8 possibilities.

When you"re listing the possibilities, you should assign truth values to the component statements in a

systematic way to avoid duplication or omission. The easiest approach is to uselexicographic ordering.

Thus, for a compound statement with three componentsP,Q, andR, I would list the possibilities this way:

PQR TTT TTF TFT TFF FTT FTF FFT FFF

(b) There are different ways of setting up truth tables. You can, for instance, write the truth values "under"

the logical connectives of the compound statement, gradually building up to the column for the "primary"

connective.

I"ll write things out the long way, by constructing columns for each "piece" of the compound statement

and gradually building up to the compound statement. Any style is fineas long as you show enough work

to justify your results. Example.Construct a truth table for the formula¬P?(P→Q).

First, I list all the alternatives forPandQ.

Next, in the third column, I list the values of¬Pbased on the values ofP. I use the truth table for

negation: WhenPis true¬Pis false, and whenPis false,¬Pis true. 2

In the fourth column, I list the values forP→Q. Check for yourself that it is only false ("F") ifPis

true ("T") andQis false ("F"). The fifth column gives the values for my compound expression¬P?(P→Q). It is an "and" of¬P

(the third column) andP→Q(the fourth column). An "and" is true only if both parts of the "and" are

true; otherwise, it is false. So I look at the third and fourth columns; if both are true ("T"), I putTin the

fifth column, otherwise I putF.

PQ¬PP→Q¬P?(P→Q)

TTFTF TFFFF FTTTT FFTTT Atautologyis a formula which is "always true" - that is, it is true for every assignment of truth values to its simple components. You can think of a tautology as arule of logic. The opposite of a tautology is acontradiction, a formula which is "always false". In other words, a contradiction is false for every assignment of truth values to its simple components. Example.Show that (P→Q)?(Q→P) is a tautology. I construct the truth table for (P→Q)?(Q→P) and show that the formula is always true.

PQP→QQ→P(P→Q)?(Q→P)

TTTTT TFFTT FTTFT FFTTT The last column contains only T"s. Therefore, the formula is a tautology. Example.Construct a truth table for (P→Q)?(Q→R).

PQRP→QQ→R(P→Q)?(Q→R)

TTTTTT

TTFTFF

TFTFTF

TFFFTF

FTTTTT

FTFTFF

FFTTTT

FFFTTT

3 You can see that constructing truth tables for statements with lots of connectives or lots of simple

statements is pretty tedious and error-prone. While there might be some applications of this (e.g. to digital

circuits), at some point the best thing would be to write a program toconstruct truth tables (and this has

surely been done). The point here is to understand how the truth value of a complex statement depends on the truth

values of its simple statements and its logical connectives. In most work, mathematicians don"t normally

use statements which are very complicated from a logical point of view.

Example.(a) Suppose thatPis false andP? ¬Qis true. Tell whetherQis true, false, or its truth value

can"t be determined.

(b) Suppose that (P?¬Q)→Ris false. Tell whetherQis true, false, or its truth value can"t be determined.

(a) SinceP? ¬Qis true, eitherPis true or¬Qis true. SincePis false,¬Qmust be true. Hence,Qmust

be false.

(b) An if-then statement is false when the "if" part is true and the "then" part is false. Since (P?¬Q)→R

is false,P? ¬Qis true. An "and" statement is true only when both parts are true.In particular,¬Qmust

be true, soQis false.

Example.Suppose

"x > y" is true. f(x)dx=g(x) +C" is false. "Calvin Butterball has purple socks" is true.

Determine the truth value of the statement

(x > y→? f(x)dx=g(x) +C)→ ¬(Calvin Butterball has purple socks)

For simplicity, let

P = "x > y".

Q = " f(x)dx=g(x) +C".

R = "Calvin Butterball has purple socks".

I want to determine the truth value of (P→Q)→ ¬R. Since I was given specific truth values forP,

Q, andR, I set up a truth table with a single row using the given values forP,Q, andR:

PQRP→Q¬R(P→Q)→ ¬R

TFTFFT

Therefore, the statement istrue.

Example.Determine the truth value of the statement (10>42)→"Ichabod Xerxes eats chocolate cupcakes" 4 The statement "10>42" is false. You can"t tell whether the statement "Ichabod Xerxes eats chocolate

cupcakes" is true or false - but it doesn"t matter. If the "if" part of an "if-then" statement is false, then

the "if-then" statement is true. (Check the truth table forP→Qif you"re not sure about this!) So the

given statement must be true. Two statementsXandYarelogically equivalentifX↔Yis a tautology. Another way to say this is: For each assignment of truth values to thesimple statementswhich make upXandY, the statements

XandYhave identical truth values.

From a practical point of view, you can replace a statement in a proof by any logically equivalent statement. To test whetherXandYare logically equivalent, you could set up a truth table to test whetherX↔Y

is a tautology - that is, whetherX↔Y"has all T"s in its column". However, it"s easier to set up a table

containingXandYand then check whether the columns forXand forYare the same. Example.Show thatP→Qand¬P?Qare logically equivalent.

PQP→Q¬P¬P?Q

TTTFT TFFFF FTTTT FFTTT Since the columns forP→Qand¬P?Qare identical, the two statements are logically equivalent.

This tautology is calledConditional Disjunction. You can use this equivalence to replace a conditional

by a disjunction. There are an infinite number of tautologies and logical equivalences;I"ve listed a few below; a more extensive list is given at the end of this section.

Double negation¬(¬P)↔P

DeMorgan"s Law¬(P?Q)↔(¬P? ¬Q)

DeMorgan"s Law¬(P?Q)↔(¬P? ¬Q)

Contrapositive (P→Q)↔(¬Q→ ¬P)

Modus ponens [P?(P→Q)]→Q

Modus tollens [¬Q?(P→Q)]→ ¬P

When a tautology has the form of a biconditional, the two statements which make up the biconditional

are logically equivalent. Hence, you can replace one side with the other without changing the logical meaning.

You will often need tonegatea mathematical statement. To see how to do this, we"ll begin by showing how to negate symbolic statements.

Example.Write down the negation of the following statements, simplifying so that only simple statements

are negated. (a) (P? ¬Q) (b) (P?Q)→R 5

(a) I negate the given statement, then simplify using logical equivalences. I"ve given the names of the logical

equivalences on the right so you can see which ones I used. ¬(P? ¬Q)↔ ¬P? ¬¬QDeMorgan"s law ↔ ¬P?QDouble negation (b) ¬[(P?Q)→R]↔ ¬[¬(P?Q)?R] Conditional Disjunction ↔ ¬¬(P?Q)? ¬RDeMorgan"s law ↔(P?Q)? ¬RDouble negation I showed that (A→B) and (¬A?B) are logically equivalent in an earlier example.

In the following examples, we"ll negate statements written in words.This is more typical of what you"ll

need to do in mathematics. The idea is to convert the word-statement to a symbolic statement, then use

logical equivalences as we did in the last example. Example.Use DeMorgan"s Law to write thenegationof the following statement, simplifying so that only simple statements are negated: "Calvin is not home or Bonzo is at the movies." LetCbe the statement "Calvin is home" and letBbe the statement "Bonzo is at the moves". The given statement is¬C?B. I"m supposed to negate the statement, then simplify: ¬(¬C?B)↔ ¬¬C? ¬BDeMorgan"s Law ↔C? ¬BDouble negation The result is "Calvin is home and Bonzo is not at the movies". Example.Use DeMorgan"s Law to write thenegationof the following statement, simplifying so that only simple statements are negated: "If Phoebe buys a pizza, then Calvin buys popcorn." LetPbe the statement "Phoebe buys a pizza" and letCbe the statement "Calvin buys popcorn".

The given statement isP→C. To simplify the negation, I"ll use theConditional Disjunctiontautology

which says (P→Q)↔(¬P?Q) That is, I can replaceP→Qwith¬P?Q(or vice versa).

Here, then, is the negation and simplification:

¬(P→C)↔ ¬(¬P?C) Conditional Disjunction ↔ ¬¬P? ¬CDeMorgan"s Law ↔P? ¬CDouble negation The result is "Phoebe buys the pizza and Calvin doesn"t buy popcorn". Next, we"ll apply our work on truth tables and negating statementsto problems involving constructing the converse, inverse, and contrapositive of an "if-then" statement. Example.Replace the following statement with its contrapositive: 6 "Ifxandyare rational, thenx+yis rational."

By the contrapositive equivalence, this statement is the same as "Ifx+yis not rational, then it is not

the case that bothxandyare rational".

This answer is correct as it stands, but we can express it in a slightly better way which removes some of

the explicit negations. Most people find a positive statement easier to comprehend than a negative statement.

By definition, a real number isirrationalif it is not rational. So I could replace the "if" part of the

contrapositive with "x+yis irrational". The "then" part of the contrapositive is the negation of an "and" statement. You could restate it as

"It"s not the case that bothxis rational andyis rational". (The word "both" ensures that the negation

applies to the whole "and" statement, not just to "xis rational".)

By DeMorgan"s Law, this is equivalent to: "xis not rational oryis not rational". Alternatively, I could

say: "xis irrational oryis irrational". Putting everything together, I could express the contrapositiveas: "Ifx+yis irrational, then eitherx is irrational oryis irrational".

(As usual, I added the word "either" to make it clear that the "then" part is the whole "or" statement.)

Example.Show that the inverse and the converse of a conditional are logicallyequivalent. LetP→Qbe the conditional. The inverse is¬P→ ¬Q. The converse isQ→P.

I could show that the inverse and converse are equivalent by constructing a truth table for (¬P→

¬Q)↔(Q→P). I"ll use some known tautologies instead.

Start with¬P→ ¬Q:

¬P→ ¬Q↔ ¬¬Q→ ¬¬PContrapositive ↔Q→PDouble negation

Remember that I can replace a statement with one that is logically equivalent. For example, in the last

step I replaced¬¬QwithQ, because the two statements are equivalent by Double negation. Example.Supposexis a real number. Consider the statement "Ifx2= 4, thenx= 2." Construct the converse, the inverse, and the contrapositive. Determine the truth or falsity of the

four statements - the original statement, the converse, the inverse, and the contrapositive - using your

knowledge of algebra.

The converse is "Ifx= 2, thenx2= 4".

The inverse is "Ifx2?= 4, thenx?= 2".

The contrapositive is "Ifx?= 2, thenx2?= 4".

The original statement is false: (-2)2= 4, but-2?= 2. Since the original statement is eqiuivalent to the contrapositive, the contrapositive must be false as well.

The converse is true. The inverse is logically equivalent to the converse, so the inverse is true as well.

7

List of Tautologies

1. P? ¬PLaw of the excluded middle

2.¬(P? ¬P) Contradiction

3.[(P→Q)? ¬Q]→ ¬PModus tollens

4.¬¬P↔PDouble negation

5.[(P→Q)?(Q→R)]→(P→R) Law of the syllogism

6.(P?Q)→PDecomposing a conjunction

(P?Q)→QDecomposing a conjunction

7. P→(P?Q) Constructing a disjunction

Q→(P?Q) Constructing a disjunction

8.(P↔Q)↔[(P→Q)?(Q→P)] Definition of the biconditional

9.(P?Q)↔(Q?P) Commutative law for?

10.(P?Q)↔(Q?P) Commutative law for?

11.[(P?Q)?R]↔[P?(Q?R)] Associative law for?

12.[(P?Q)?R]↔[P?(Q?R)] Associative law for?

13.¬(P?Q)↔(¬P? ¬Q) DeMorgan"s law

14.¬(P?Q)↔(¬P? ¬Q) DeMorgan"s law

15.[P?(Q?R)]↔[(P?Q)?(P?R)] Distributivity

16.[P?(Q?R)]↔[(P?Q)?(P?R)] Distributivity

17.(P→Q)↔(¬Q→ ¬P) Contrapositive

18.(P→Q)↔(¬P?Q) Conditional disjunction

19.[(P?Q)? ¬P]→QDisjunctive syllogism

20.(P?P)↔PSimplification

21.(P?P)↔PSimplification

c ?2020 by Bruce Ikenaga8quotesdbs_dbs5.pdfusesText_10
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