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DISCRETE MATHEMATICS I LECTURES 1.1,1.2,1.3 Dr. Adam Anthony Spring 2011 Some material adapted from lecture notes provided by Dr. Chungsim Han and Dr. Sam Lomonaco

Discrete Mathematics I Lectures 1.1,1.2,1.3

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Discrete Mathematics I Lectures 1.1,1.2,1.3. Some material adapted from lecture notes provided by Dr. Chungsim Han and Dr. Sam Lomonaco. Dr. Adam Anthony Spring 2011. Lecture 1.1. Intro to Discrete Math Syllabus Highlights Course Policies Intro to Propositional Logic. - PowerPoint PPT Presentation

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Page 1: Discrete Mathematics I Lectures 1.1,1.2,1.3

DISCRETE MATHEMATICS ILECTURES 1.1,1.2,1.3

Dr. Adam AnthonySpring 2011

Some material adapted from lecture notes provided by Dr. Chungsim Han and Dr. Sam Lomonaco

Page 2: Discrete Mathematics I Lectures 1.1,1.2,1.3

Lecture 1.1 Intro to Discrete Math Syllabus Highlights Course Policies Intro to Propositional Logic

Page 3: Discrete Mathematics I Lectures 1.1,1.2,1.3

What is Discrete Mathematics? It’s sort of the opposite of calculus Calculus = analysis of continuous functions and

processes Rates of change Mixture Models Surface area

Discrete Math = analysis of processes that consist of “a sequence of individual steps” (Epp, xiv) Logic, deduction and induction Sets and Functions Describing data (graphs, trees) Counting/probability Algorithms for solving problems

Page 4: Discrete Mathematics I Lectures 1.1,1.2,1.3

Why Care about Discrete Mathematics?

It challenges you to a different form of thought, one which you rarely encounter in high school

It’s relevant (though not always obviously so) to computing, and will come up all the time as you study

It will equip you with some really strong reasoning skills that are applicable outside of mathematics

Might even help you on the GRE!

Page 5: Discrete Mathematics I Lectures 1.1,1.2,1.3

GRE Question #1 Which of the following contradicts the

view that only the smart become rich?a) Brian was smart, yet he was poor his

whole life.b) Both “smart” and “rich” are relative

terms.c) Different people are smart in different

ways.d) Some smart people do not desire to

become rich.e) Peter is stupid, yet he amassed a large

fortune by the age of 30.

Page 6: Discrete Mathematics I Lectures 1.1,1.2,1.3

GRE Question #2 Excessive amounts of mercury in drinking water, associated with

certain types of industrial pollution, have been shown to cause Hobson’s disease. Island R has an economy based entirely on subsistence-level agriculture; modern industry of any kind is unknown. The inhabitants of Island R have an unusually high incidence of Hobson’s disease.

Which of the following can be validly inferred from the above statements?

I. Mercury in drinking water is actually perfectly safeII. Mercury in drinking water must have sources other than industrial pollutionIII.Hobson’s disease must have causes other than mercury in drinking water

a) II Only b) III onlyc) I and II onlyd) I and III onlye) II and III only

Page 7: Discrete Mathematics I Lectures 1.1,1.2,1.3

Syllabus Highlights Instructor:

Dr. Adam Anthony [email protected] (preferred way to reach me) 440 826 2059 (less reliable)

Guaranteed Office hours: Monday/Wednesday 1:00 – 2:00 Tuesday/Thursday 10:00 AM – 11:00 AM

Any time M-F 8:00AM – 4:00 PM by appointment You can stop by my office (check my posted semi-open

door policy before coming in), but I may not be there, or I may ask you to come back later

Evening Students 30-60 minutes prior to class available by appointment only

Page 8: Discrete Mathematics I Lectures 1.1,1.2,1.3

Textbook and Grading Required Text:

Susanna S. Epp. Discrete Mathematics with Applications. Fourth Edition. Brooks-Cole, 2011. ISBN: 978-0-495-39132-6

Grading: 11 Homeworks ~ 30% 3 Midterms ~ 10% each (30% total) Final Exam ~ 20% Study Journal ~ 5% Class Participation (Pop Quizzes) ~ 5%

Read syllabus to see letter grade scale

Page 9: Discrete Mathematics I Lectures 1.1,1.2,1.3

Homework and Study Journal Buy some type of bound notebook/binder to use as a study journal.

Should be separate from anything you use to take notes in class Solving a problem

Messy Error-prone I don’t want to see this; It goes in your journal

Writing a solution Take a solved problem from your journal, write up the solution in a neat,

readable format This is what you’ll turn in as homework

All Homework problems must be solved in the journal first, then re-written for submission

Supplemental problems will also be required in the journal only that will help you study

Journals will be graded at each midterm A certain number of assigned problem sets must be attempted in the journal

before each exam Graded only for completeness

Each student may request a single extension of up to 1 week, but must do so 24 HOURS IN ADVANCE OF THE DUE DATE (dire circumstances excluded). I will also drop your lowest homework score. NO OTHER EXTENSIONS WILL BE GRANTED, FOR ANY (INCLUDING MEDICAL) REASON!

Page 10: Discrete Mathematics I Lectures 1.1,1.2,1.3

Collaboration Working together is OK, to an extent, when you:

Discuss problems, approaches Work out solutions collaboratively Give each other hints, helpful suggestions (“I found

page 53 to be useful…”) Working together is not OK when:

Only one person is doing any talking Problems are worked out on a board, then everyone

copies answer You borrow someone’s homework to ‘get started’ You search for answers on the Internet and copy them

Page 11: Discrete Mathematics I Lectures 1.1,1.2,1.3

Collaboration Policy Students may solve problems in their journals in

groups, but they must complete the written solutions individually.

Furthermore, to prevent any "accidental" cheating, each student must provide a citation at the top of each written solution, that has the form:  I worked with _________________________ on this assignment.

If you forget: 1st time = Warning Every other time = 20% reduction of assignment grade If collaboration is evident, you may be punishable under

the college’s Academic Honesty Policy (see syllabus)

Page 12: Discrete Mathematics I Lectures 1.1,1.2,1.3

Technology Policy• Technology is great, especially for us!

• Using it to enhance your learning is fully permitted• Technology is a tempting distraction

• Facebook does not care if you fail• It is impossible to browse the internet and learn at a high level at the same

time• Abuse of technology in the classroom will be penalized if you:

• Distract classmates• Distract the professor• Exhibit pattern behavior

• Not paying attention for > ½ class period• Minor infractions occurring in multiple class periods

• Penalties: • 1st offense: you will be asked to immediately shut down the equipment• Subsequent offenses: dismissal from class and/or a 5% reduction in final

grade• Using computers in class is your privilege

Page 13: Discrete Mathematics I Lectures 1.1,1.2,1.3

How to Pass This Class I promise to pass you (Minimum grade of D) if you’ll

commit to: Perfect Attendance (excused absences allowed, read

syllabus) Turn in 11 complete homework assignments (no

blank/weakly attempted problems) Visit the Mathematics lab in at least 8 different weeks

(there will be a signup sheet) In the Learning Center (Ritter Library second floor Rm. 206)

between noon and 9:30 p.m. Monday through Thursday and again from 6:00-9:00 p.m. on Sunday evenings. 

Complete every problem assigned to the study journal Failing any one of these commitments voids the offer!

Page 14: Discrete Mathematics I Lectures 1.1,1.2,1.3

What to do before next class Read the syllabus (In BB, click ‘course main

page’ link, then click syllabus in menu) Grading criteria ADA Compliance Excused Absence/Missed Exam Policy

Must be notified 7 days prior if you will miss an exam. VERY FEW EXCEPTIONS

Skim course schedule, note exam dates! DO NOT PRINT!!!

Assigned Reading

Page 15: Discrete Mathematics I Lectures 1.1,1.2,1.3

INTRODUCTION TO PROPOSITIONAL LOGIC

Page 16: Discrete Mathematics I Lectures 1.1,1.2,1.3

Logic Crucial for mathematical reasoning Used for designing electronic circuitry Logic is a system based on propositions. A proposition is a statement that is

either true or false (not both). We say that the truth value of a

proposition is either true (T) or false (F). Corresponds to 1 and 0 in digital circuits

Page 17: Discrete Mathematics I Lectures 1.1,1.2,1.3

Logical Forms Recipe for Success Follow a basic pattern You can solve a problem/answer a

question in the same way for all problems that have the same logical form.

Can be expressed in English, but we’ll often simplify the process by using symbols

Page 18: Discrete Mathematics I Lectures 1.1,1.2,1.3

Example 1 How do you know that today is not Labor day?

Logical form (symbolic template): 1. If p, then q. (read as: anywhere in the world, if p is true, then

q will also always be true)2. NOT q (read as: I found a case where q is false)3. Therefore, NOT p (How do we know for sure???)

If 1) and 2) are true facts, then we can be CERTAIN about 3 being true, without any evidence The form above is therefore considered a valid form This argument is called Modus Tollens

Page 19: Discrete Mathematics I Lectures 1.1,1.2,1.3

Example 2 Find the forms of the following

arguments: If Jane is a CIS major, then Jane takes MTH

161Jane does not take MTH 161Therefore, Jane is not a CIS major

If x2-4x+4 = 0, then x = 2x 2Therefore, x2-4x+4 0

Strategy for finding logical forms given on the board

Page 20: Discrete Mathematics I Lectures 1.1,1.2,1.3

Propositions (Example 3) A Proposition is a sentence that is either

true or false, but not both. Which of the following are Propositions (and

is it true/false)?a) 1 + 2 = 3b) 1 + 2 = 5c) X + 2 = 5d) x < y if and only if y > xe) Elephants are bigger than micef) Today is January 10 and 99 < 5.”

Not a proposition because we need to know what X is before we can evaluate its truth value

Here, the values of X and Y don’t matter, and we can evaluate the truth value.

Page 21: Discrete Mathematics I Lectures 1.1,1.2,1.3

Variable Systems Algebra: hassling H.S. Students for

decades Imagine if you had to solve problems like

this: Pick a number. The new number you will

compute is 5 times that first number, plus 4.

Alternative: Y = 5X + 4 VARIABLES MAKE MATH EASIER, MORE

CONCISE In logic, we’ll assign a letter to each

individual proposition that we need to make our argument Let p = “It is Hot” and q = “It is Humid”

Page 22: Discrete Mathematics I Lectures 1.1,1.2,1.3

Basic Logical Connectives But there’s more than variables… In algebra, we have +, -, /, *, >, <, =, etc.

These symbols let us express complex ideas using a single symbol

Three core logical connectives: NOT (negation): p (or ~ p) (means p is not true) AND (conjunction): p q (means p AND q are both true) OR (disjunction): p q (means that AT LEAST ONE of these is

true) In practice, we assign letters to the simplest

possible facts, then use these three connectives to build more complex propositions

Page 23: Discrete Mathematics I Lectures 1.1,1.2,1.3

Exercise 4 Use variables and connectives to express the

following sentences (Let p = “It is Hot” and q = “It is Humid”):a) It is hot but it is not humidb) It is neither hot nor humidc) It is hot or humid but not bothThis is a common

compound statement, so logicians created a special operator called XOR to save time: p q

Page 24: Discrete Mathematics I Lectures 1.1,1.2,1.3

Lecture 1.2 Truth Tables Order of Operations Logical Equivalence Logical laws and Simplification of

complex statements Conditional Statements Converse, Inverse, Contrapositive

Page 25: Discrete Mathematics I Lectures 1.1,1.2,1.3

Truth Tables Logical arguments are frequently hypothetical

We don’t always know whether a statement is true or false, in real life!

First solution: enumerate all the possibilities Let p = “It is Hot” and q = “It is Humid” If you are in a climate-controlled, windowless room,

what are all the possible things you might experience when you exit? It is hot and it is humid It is hot and it is not humid It is not hot and it is humid It is not hot and not humid

p qT TT FF TF F

TRUTH TABLE

Page 26: Discrete Mathematics I Lectures 1.1,1.2,1.3

27

Conjunction (AND)Binary Operator, Symbol:

P Q PQT T TT F FF T FF F F

Example: • The conjunction of “It is raining” and “The sun is

shining” is “It is raining but the sun is shining”.

Page 27: Discrete Mathematics I Lectures 1.1,1.2,1.3

CMSC 203 - Discrete Structures

28

Spring 2003

Disjunction (OR)Binary Operator, Symbol:

P Q PQT T TT F TF T TF F F

Example: • The disjunction of “It is raining” and “The sun is

shining” is “It is raining or the sun is shining.”

Page 28: Discrete Mathematics I Lectures 1.1,1.2,1.3

29

Negation (NOT)Unary Operator, Symbol:

P Ptrue (T) false (F)false (F) true (T)

Example: • The negation of “It is raining” is “It is not raining”

Page 29: Discrete Mathematics I Lectures 1.1,1.2,1.3

30

Exclusive Or (XOR)Binary Operator, Symbol:

P Q PQT T FT F TF T TF F F

Example: • The exclusive OR of “It is raining” and “The sun is

shining” is “It is raining or the sun is shining, but not both.”

Page 30: Discrete Mathematics I Lectures 1.1,1.2,1.3

Order of Operations Just like in algebra, statements can be

ambiguous unless we set up some rules: pq ??? It is not hot or it is humid? It is

not the case that is is hot or humid? Order of operations: ,,, Use parentheses to force certain

meanings: It is not hot or it is humid It is not the case that it is hot or humid

Page 31: Discrete Mathematics I Lectures 1.1,1.2,1.3

Exercise 6 Create Truth Tables with columns for the

following propositions: (pq) and pq (pq) (p q) and (p q) ( p q) p (q r) and (p q) r p p and p p

Page 32: Discrete Mathematics I Lectures 1.1,1.2,1.3

Logical Equivalence Two Complex Statements P and Q are

logically equivalent if and only if they have identical truth tables. We denote equivalence as P Q:P Q (pq) pq

T T F FT F F FF T F FF F T T

Page 33: Discrete Mathematics I Lectures 1.1,1.2,1.3

Tautologies and Contradictions A tautology is a statement that is always true

(denoted as t). Examples:

T t R(R) t

A contradiction is a statement that is always false (denoted as c). Example:

F c R(R) c

The negation of any tautology is a contradiction, and the negation of any contradiction is a tautology.

Page 34: Discrete Mathematics I Lectures 1.1,1.2,1.3

Theorem 2.1.1 Given any propositions p, q, and r, a

tautology t and a contradiction c, the following logical equivalences hold:

Page 35: Discrete Mathematics I Lectures 1.1,1.2,1.3

Exercise 8 For each statement below:

Choose variables Translate to logical formulas negate the formulas distribute negations using DeMorgan’s Laws Translate back to English

Amy Got an A on Test 1 and Laura got an A on the final

Charlie drove or rode a bicycle x 2

Page 36: Discrete Mathematics I Lectures 1.1,1.2,1.3

Exercise 9 (49,53 from book p. 38) Use the various logic laws to show the

following: qqpqp )()(

pqpqpqp )]()()[(

Page 37: Discrete Mathematics I Lectures 1.1,1.2,1.3

Implication (if - then)Binary Operator, Symbol:

P Q PQT T TT F FF T T?F F T?

Example: • The conditional of “If you finish your homework” and “I will

take you to a movie” is “If you finish your homework then I will take you to a movie.”

• When the left-hand side of a conditional is FALSE, we say it is vacuously true, or true by default. In other words, it is true because it is not false

Page 38: Discrete Mathematics I Lectures 1.1,1.2,1.3

Exercise 1 Let p = “It is Hot” and q = “It is Humid.”

and m = “It is miserable outside” Express the following statements symbolically: If it is not hot, it is not humid It is hot only if it is humid If it is hot and humid, then it is miserable

outside If it is not miserable outside, then it is not

humid

Page 39: Discrete Mathematics I Lectures 1.1,1.2,1.3

An Important Equivalence (Exercise 3)

Use a Truth Table to Show that:

Use the above to also show that:

qpqp

qpqp )(

Page 40: Discrete Mathematics I Lectures 1.1,1.2,1.3

Exercise 4 Convert the following to symbols, negate

the expression, then distribute the negation as far as possible. a) If Bob is Rich, then Bob is Happy.b) If Sue got the right output, then she

programmed correctly.

Page 41: Discrete Mathematics I Lectures 1.1,1.2,1.3

Converse, Contrapositive, and Inverse Take any conditional:

PQ Converse: QP Contrapositive: Q P Inverse: P Q

Thought exercise: The contrapositive of a conditional always has the same truth value as the conditional. This is not true for the converse and inverse.

These terms will come up again so don’t forget about them!!!

Page 42: Discrete Mathematics I Lectures 1.1,1.2,1.3

Biconditional (if and only if)Binary Operator, Symbol:

P Q PQT T TT F FF T FF F T

Example: • The biconditional of “It is raining” and “The sun is

shining” is “It is raining if and only if the sun is shining.”

• When is this true?

Page 43: Discrete Mathematics I Lectures 1.1,1.2,1.3

Necessary and Sufficient The term sufficient condition is another way of

expressing a conditional. p is a sufficient condition for q means:

p q Yet another term is a necessary condition:

p is a necessary condition for q means: q p (NOTE THE FLIP-FLOP!)

Finally, a condition can be necessary AND sufficient p is a necessary and sufficient condition for q

means: p q

Page 44: Discrete Mathematics I Lectures 1.1,1.2,1.3

Exercise 8 Write the following as conditional or

biconditional statements: a) Getting all A’s is sufficient (but not

necessary) for graduating with honors.b) Being curious is a necessary (but not

sufficient) condition for being a successful student

c) Getting 100 points on all the exams is both necessary and sufficient for earning an A on the course

Page 45: Discrete Mathematics I Lectures 1.1,1.2,1.3

About The use of necessary and sufficient

terms together is not a coincidence To confirm that p q is true, you can

separately prove: pq (sufficient) qp (necessary)

Another nice use of is for logical equivalence: Two compound statements P and Q are

logically equivalent if the truth table for P Q is always true

Page 46: Discrete Mathematics I Lectures 1.1,1.2,1.3

DeMorgan’s Law Revisited

OR you can show that p q and q p are both always true

P Q (pq) pq (pq)pq

T T F F TT F F F TF T F F TF F T T T

Page 47: Discrete Mathematics I Lectures 1.1,1.2,1.3

Valid and Invalid Arguments Remember Modus Tollens?

If p then q p q q qTherefore, p p

If Jane is a CIS major, then Jane takes MTH 161Jane does not take MTH 161Therefore, Jane is not a CIS Major

This argument is based on the definition of a conditional. How does that work???

Page 48: Discrete Mathematics I Lectures 1.1,1.2,1.3

Arguments and Forms An argument is a sequence of statements. The final

statement is the conclusion. The preceding statements are premises (hypotheses).

We will assume, for the sake of argument, that all premises must be true. If they are not, then the argument fails!

An argument form is obtained by generalizing an English argument using propositional variables

An argument form is valid if any argument of that form for which the conclusion is guaranteed to be true, without evidence, as long as the premises are true

Page 49: Discrete Mathematics I Lectures 1.1,1.2,1.3

Exercise 2.3.2 Verify that modus tollens is a valid form

of argument using a truth table (Remember, whenever ALL the premises

are true, then the conclusion HAS to be true)

p q pq(premise)

q(premise)

p(Conclusio

n)T TT FF TF F

Page 50: Discrete Mathematics I Lectures 1.1,1.2,1.3

Other Valid Arguments Modus Ponens:

p qpq

Generalization:p q p q p q

Specialization:p q p

Elimination:p qq p

Transitivity:p qq r p r

Division into Cases: p qp rq r r

Page 51: Discrete Mathematics I Lectures 1.1,1.2,1.3

Invalid Arguments An argument form is invalid if there is

at least one argument of that form that has true premises and a false conclusion

Two common invalid arguments: Converse Error Inverse Error

Page 52: Discrete Mathematics I Lectures 1.1,1.2,1.3

Converse Error If Alice is a CS major, then Alice has to take

CSC 280. Alice has to take CSC 280Therefore, Alice is a CS major

pqqp

Called the Converse Error because if you replace the conditional with its converse, then the argument is valid (But you can’t—why not?)

Page 53: Discrete Mathematics I Lectures 1.1,1.2,1.3

Inverse Error If Alice is a CS major, then Alice has to take

CSC 280. Alice is not a CS major Therefore, Alice does not have to take CSC 280

pqp q

Similarly called the Inverse Error because if you replace the conditional with its inverse, the argument would be valid.

Page 54: Discrete Mathematics I Lectures 1.1,1.2,1.3

Soundness Argument forms are not guarantees—

They are Tools! Tools only work if you use them

properly. An argument is sound if the form used

is valid and all the premises are confirmed or assumed to be true.

Are the following arguments in valid forms? Are they sound?

If 3 < 5, then 3 < 43 < 4Therefore, 3 <5

If 3 < 5, then 3 < 23 < 5Therefore, 3 < 2