0 | Overview
Course Goals
- Understand the precise meaning of mathematical statements
- Learn to communicate effectively
- Get better at writing mathematical proofs
- Become comfortable with arithmetic and algebra over some common systems (eg. the integers modulo n)
1 | Intro to Mathematical Language
1.1 Intro to Statements and Proofs
Definition
- Statement = True or False
- Proof = Rigorous argument establishing the truth of a statement with no doubt
Ex: Can you convince someone else that your answer is correct?
- For every positive integer is not a perfect square
- For every positive integer is not a perfect square
Proof 1: Squares must differ by Proof 2: Counterexample:
Sets
- Set = a well-defined, unordered collection of distinct objects (elements / members)
- Finite Sets = you can list all elements
- Infinite Sets = must be specified (=natural, =integers, =rational, =real)
- Membership
- = belongs
- = doesn’t belong
Statement or not? (09/06)
- Statement = T/F
- Open Sentence = true dependent on variable
- Others: question, definition, expression
Building a statement
- Substitution: Giving a value to a variable
- Quantification:
Ex: For all integers
1.2 | Domains and Quantifiers
Statements have four parts:
- Quantifier
- Variable
- Domain
- Property
Quantifiers:
- Universal:
- Existential:
1.3 | Negation and Nesting
Negation:
- Not:
Ex: Negation
Ex: Negating universal statements
Ex: Negating existential statements
Exercises
- There is a real number r such that
- All natural numbers have an absolute value of at least 1
- Every positive integer is even
- Write each statement symbolically and determine if T/F
- For all real numbers x and y,
- False (0,0)
- There exist real numbers x and y such that
- True (1,0)
- For all real numbers x, there exists a real number y such that
- True
- There exists a real number x such that for all real numbers y,
- Neg:
- False (y=x)
- For all real numbers x and y,
Note about nested quantifiers
- If quantifiers are different types, order matters!
- ex: “there exists an x below every y” VS “every y has an x below it”
2 | Logical Analysis of Mathematical Statements
2.1 | Logical Operators
Logical Connectives / Logical Operators
- AND =
- OR =
- NEG =
- =
Truth Tables
Negation (“not”)
A | |
---|---|
T | F |
F | T |
Conjugation (“and”) |
A | B | |
---|---|---|
T | T | T |
T | F | F |
F | T | F |
F | F | F |
Disjunction (“or”) |
A | B | |
---|---|---|
T | T | T |
T | F | T |
F | T | T |
F | F | F |
Logical Equivalence = two statements with the same truth values
De Morgan’s Laws (DML):
Ex 5: Prove DML with truth tables
A | B | |||||
---|---|---|---|---|---|---|
T | T | F | F | F | T | F |
T | F | F | T | T | T | T |
F | T | T | F | T | T | T |
F | F | T | T | T | F | T |
Columns of and are equivalent |
Ex: Negate the following:
Statement; For all integers or
Statement; There exists a real number x such that and \
Other Laws
- Double Negation Law:
- Commutative Laws
- Associative Laws
- Distributive Laws
Logical Equivalence
- Is transitive
Ex 7: Prove
Proof with logical equivalence laws:
2.2 | Implication
Implication:
Inverse
Converse
Contrapositive
Converse of Contrapositive = Contrapositive of Converse
Truth Table: Implication
A | B | |
---|---|---|
T | T | T |
T | F | F |
F | T | T |
F | F | T |
Remark 2.4: The negation of an implication is AND
Truth Table: If and only if (iff) - note this is the intersection of implication and converse
A | B | |
---|---|---|
T | T | T |
T | F | F |
F | T | F |
F | F | T |
3 | Proving Mathematical Statements
3.1 | Universally Quantified Statements
Direct Proof: Proof of the given statement without any logical tricks (contradiction, contrapositive) Don’t assume the statement is true
UNIVERSALLY QUANTIFIED STATEMENTS
- Consider a general representative x from S, do not work with a particular element
- Argue (x) is true of this representative x
- You need a general argument that works for all x in S. This means you can only use properties common to all objects in S.
- Sometimes it is helpful to use casework, which allows you to make more assumptions. Make sure your cases cover all possible objects in S.
Ex 1: Prove the following statements
- For all real x and y,
Proof: Let be real numbers. Then the following inequalities are equivalent.
- For all real x and y, Case 1:
Case 2:
- For all real x, Let x be a real number. Then x satisfies one of the following: Case 1:
Case 2:
Case 3:
Therefore, in each case we have as needed.
Ex 2: For each of the following statements, determine whether the statement is T/F, then prove/disprove
-
- counterexample: x=1
-
- disproof: pick y=x-1
3.2 | Existentially Quantified Statements
PROVING EXISTENTIALLY QUANTIFIED STATEMENTS
- Construct an object x and show that it works. This means verify x is a member of S and has property P(x)
- If it is possible to give x explicitly, then do so
- You are allowed to include details about how you found x (not necessary)
- TRIAL AND ERROR IS VALID
Ex 2.1: There exists an integer such that
Proof: Let . Then is an integer, and when we have:
Ex 2.2: Statement: There exists a perfect square such that
Proof: Let . We note that is a perfect square () and verify that when we have
3.3 | Statements Involving Implication
PROVING IMPLICATIONS
- Pretend we know A is true
- Use that fact to show that B is true
- Do not assume that B is true
Ex 3.1: For all integers m, if is a perfect square, then is a perfect square
Proof: Assume that is a perfect square. This means we can write for some . It follows that
Since , we have shown that is a perfect square.
Ex 3.2: For all real numbers x, if is an odd integer, then is an even integer.
Proof: Let x be a real number. Assume that is an odd integer. This means that for some integer k. It follows that
Since , we have shown that is even.
3.4 | Divisibility
3.4.0 | Math Words
Math Words
- Definitions
- Propositions
- Theorems: deeper proposition
- Lemmas: used to prove a theorem
- Corollaries: side-effect of a theorem
3.4.1 | Definition of divisibility
The Integers
- The Set:
- The operations: Addition and Multiplication
- The ordering:
Notes:
- Subtraction is the addition of a negative
- Given two integers, we can multiply, add, or subtract them another integer
- Instead of performing divisions in , we talk about the notion of DIVISIBILITY
Definition (Divisibility): For , we say divides or if there exists an integer such that
- We use
\nmid
for non-divisibility
Examples
- For all integers
- For all non-zero integers
Ex: Assuming , prove
3.4.2 | Results about divisibility / TD & DIC
Proposition (Transitivity of divisibility / TD): For all integers , if and then
Proposition: For all integers , if or , then
Cool thing:
Proposition (Divisibility of Integer Combinations): For all integers , if and , then for all integers
Exercise 2: Similar but different statements
For all , if for all then and - TRUE
For all and for all , if then and - FALSE
CAUTION: It is not true to say that
3.5 | Proof by Contrapositive
Example: , if is odd, then is odd.
Proof: We prove the contrapositive: If is even, then is even. Let
Thus, is even, proving the contrapositive and thus proving the statement.
Cool Thing: Method of Elimination
3.6 | Proof by Contradiction
Proof by Contradiction:
- A statement A must be either T or F. If we can prove that A cannot be False, we prove that it is true.
- Assume that A is false, then deduce something that we know to be untrue
CONTRAPOSITIVE
- Only used to establish the truth of an implication
- May be a good option if you notice that is a “more useful” hypothesis to work with than the given hypothesis A
- Eg: (M is odd) vs is odd
CONTRADICTION
- Used to prove more general statements A
- Assume., for a contradiction that A is true
- Look for a contradiction (often combining two contradictory statements)
Exercise 2.1: For all , if then or
Proof: Let , we will prove the contrapositive: If and then
Assume that . By divisibility of integer combinations (DIC), we have
This means that , so as needed.
4 | Induction
4.1 | Notation for Summation, Products, and Recurrences
4.2 | Proof by Induction
Weak Induction:
- Prove
- Then we can conclude
4.3 | Proof by Strong Induction
Strong Induction: Let be an open sentence about a natural number n.
- Then is true for all
Exercise 8:
- for We show that the terms also satisfy
Proof: Let be the open sentence We prove that is true for all by induction on n BASE CASES: Verify and We are given that and . We verify that
INDUCTIVE STEP: Let be an arbitrary integer with Assume This means we should assume that for all integers in the range Since , we have and so we get the following
By strong induction, the statement is true.
5 | Sets
5.1 | Set Definitions
Definition: A set is a collection of elements
Examples
- - called the universe of discourse
- empty set
- NOTE: is not the empty set, it’s a set with one element (the empty set)
5.2 | Set Problems
Example: In set notation, write the set of positive integer multiples of 7 less than 1000
- st = : = “such that”
Set of even numbers between 5 and 14
All odd perfect squares
Sets of three integers which are the side lengths of a (non trivial) triangle
All points on a circle of radius 8 centered at the origin
5.3 | Set Operations
Let S and T be sets. Define:
- = size / cardinality of set S
- (Union)
- (Intersection)
- (Set difference)
- or (With respect to universe U) the compliment of S, that is
- (Cartesian Product)
Example: , but
NOTE: and ARE DIFFERENT SETS
Example:
5.4 | Relating Sets
Let S and T be sets. Then
- : S is a subset of T - every element of S is an element of T
- : S is a proper / strict subset of T - every element of S is an element of T and some element of T is not in S
- : S contains / is a superset of T - every element of t is an element of S.
- : S properly / strictly contains T. Every element of T is an element of S and some element of S is not in T.
Definition: means and (is both superset and subset)
Example:
Question: Prove
- Let .
- Then
- Thus such that
- Now
- Hence
Question: Show if and only if
- Suppose S=T. To show , we need to show that and that
- Suppose . Then and . Hence
- Suppose that . Then or . Since S=T we have in either case that and . Thus . This shows that and completes the forward direction
Backwards
- Now assume that . We want to show that which we do by showing that and
- Suppose that . Then, . Hence
- Suppose that . Then . Hence
- Thus,
Definition (Disjoint Sets): Two sets S and T are disjoint when
6 | GCD
6.1 | Definition of GCD
(Proposition) Bounds by Divisibility: For all , if and , then
PROOF: Let Since Since Since and , we have . Using properties of absolute value
Since for all we have that , we see that And so as needed.
When do have a GCD?
- When
6.2 | GCDs and Remainders
(Proposition) Division Algorithm For all , there must exist unique integers such that
6.3 | Euclidean Algorithm
(Proposition) GCD with Remainders For all
Exercise: Calculate gcd(1239,735)
Thus, . Reversing the steps:
Doing back-substitution:
Follow-up Questions:
- Does -63 divide?
- Does 25 divide?
- No: Suppose (for a contradiction) that for some .
- Since and , we must have by DIC that .
- But this means , which is a contradiction. Thus, no exist.
6.4 | Different characterization of GCDs
(Proposition) Bezout’s Lemma: For all , there must exist such that
(Proposition) GCD Characterization Theorem: For all and all , if
- d is a common divisor of
- There exist common integers x and y such that Then d must be the GCD of a and b
PROOF: Let . Suppose: A) and B) for some We prove that by definition of GCD
Case 1: Then by definition of GCD By (B), . So
Case 2: We know that and since d divides a nonzero number (either a or b), we must have , so We have that is a common divisor of a and b from (A), so we prove it is the greatest among the common divisors. Let be an arbitrary common divisor of a and b. We intend to prove that Since and , By (B), we have that Since and , we have by Bounds by Divisibility. Since Thus, as desired.
6.5 | Extended Euclidean Algorithm
Given , the following algorithm calculates and finds its integer combination
Find such that
x | y | r | q |
---|---|---|---|
1 | 0 | 10 (a) | 0 |
0 | 1 | 4(b) | 0 |
To produce row for | |||
To obtain , , (Row 1) - q(Row 2)
1 | -2 | 2 | 2 |
---|---|---|---|
Row 4 |
-2 | 5 | 0 | 2 |
---|---|---|---|
Stop when you find | |||
Consider the second last row, | |||
Ex: EEA for
x | y | r | q |
---|---|---|---|
1 | 0 | 4145 | 0 |
0 | 1 | 399 | 0 |
10 | -10 | 155 | 10 |
-2 | 21 | 89 | 2 |
3 | -31 | 66 | 1 |
-5 | 52 | 23 | 1 |
13 | -135 | 20 | 2 |
-18 | 187 | 3 | 1 |
121 | -1257 | 2 | 6 |
-139 | 1444 | 1 | 1 |
399 | -4145 | 0 | 2 |
(Proposition) Common Divisor GCD
6.6 | Coprime Integers
Statement 1: Prove that
PROOF (cool): Let (IMPORTANT)
Statement 2: Prove that is false
PROOF: Counterexample:
(Theorem): Generalization of Statement 1 For all with coprime,
(Theorem): Generalization of Statement 2 For all with not coprime, the above is false, because you can take
COPRIME INTEGERS
(Definition) Coprime / Relatively Prime Integers Two integers are coprime if
Results:
- two distinct primes are always coprime
- two composites can be coprime
- 1 is coprime with everything
- two consecutives are always coprime
(Proposition) Coprime-ness Characterization Theorem For all if and only if there exists integers such that
PROOF: Let be integers If , then Bezout’s Lemma says there exists such that If there exists such that , then by GCD Characterization Theorem
Exercise 3: Prove that for all
Let . Assume that By the CCT (or Bezout’s Lemma), we can write for some It follows that and . Therefore, by CCT
Assume By the CCT (or BL), we can write It follows that Therefore, by CCT
Exercise 4: Prove or disprove
Counterexample: We can fix this by making coprime with or
6.7 | Primes and prime factorizations
Proposition: Prime Factorization Every natural number can be written as a product of primes
PROOF: We use induction
BASE CASE: is true
INDUCTIVE STEP: Let Assume that is true for all Now, consider If is prime, then is true If is not prime, then is composite. This means we can write for some . By the inductive hypothesis, can be written as a product of primes. It follows that can be written as a product of primes. This means that is true as well. Therefore, is true for all by induction.
Proposition: Euclid’s Theorem There are infinitely many primes.
PROOF: Multiply every prime together, then add 1
Proposition: Euclid’s Lemma For all for all prime numbers , then or
Proposition: Fundamental Theorem of Arithmetic Every natural number can be written as a unique product of prime factors Alternatively, for all there exists a unique prime factorization of n:
6.8 | Finding Prime Factors
Proposition: Finding a prime factor Every natural number is either prime or has a prime divisor that is less than or equal to
Proposition: Divisors from Prime Factorization Let and be positive integers and suppose that Then is a divisor of if and only if for integers satisfying for
PROPERTIES:
- Number of factors is adding exponents
- GCD is taking min of exponents
- LCM is taking max of exponents
Prove that
Proof of the direction is trivial Proof of the direction: Let be positive integers.
Suppose . By DFPF, for each index This also means that for each index By DFPF, .
7 | Linear Diophantine Equations
7.1 | The Existence of Solutions in 2 Variables
Linear Diophantine Equation Theorem 1 (LDET 1) For all the linear Diophantine equation has an integer solution if and only if where
7.2 | Finding All Solutions in 2 Variables
Linear Diophantine Equation Theorem 2 (LDET 2) Let . If is a solution to , then the set of all solutions is given by
REMARK: Let
- By LDET 1, if , then has no solutions
- By LDET 1 and 2, if , then has infinitely many solutions
8 | Congruence and Mods
8.1 | Congruence
Definition (Congruence) Let be a fixed positive integer. We say if
8.2 | Elementary Properties of Congruence
Equivalence Properties
- Reflexive:
- Commutative:
- Transitive:
Propositions (Congruence is an Equivalence Relation)
Proposition (Congruence arithmetic) If and , then
8.3 | Congruence and Remainders
”Cancellation Law” for integer arithmetic For all
PROOF
Proposition (Congruent iff same remainder) For some have the same remainder divided by m
8.4 | Linear Congruence
Definition (Linear Congruence) A linear congruence in the variable is a relation of the form
is a solution to the congruence .
Solving Linear Congruences - Summary
- has a solution if and only if has a solution
- The solutions to are
- Where $(x_0,y_0)$ is one solution and $d=gcd(a,m)$
- The coordinates of the solutions above are numbers of the form
Examples
-
- , and , so no solutions
-
- , so yes solutions
- We want some
8.5 | Non-linear Congruence
Example: Solve the congruence relation
8.6 | Congruence Classes and Modular Arithmetic (mod m)
Definition (Congruence Class) The congruence class modulo of the integer is the set of integers
Definition (The integers modulo ) The collection of the distinct congruence classes modulo
We do arithmetic in as follows (Modular Arithmetic). The operations are commutative, associative, and distributive.
Facts about
- is the additive identity in
- is the multiplicative identity in
- is the additive inverse of in
- may or may not have a multiplicative inverse in
- is invertible in if and only if .
- We write
Theorem (Modular Arithmetic Theorem) For all , the equation
has a solution if and only if . Moreover, if is a particular solution and , then there are solutions in and they are:
Example: Solve in
and means 5 solutions
Since , by MAT the solution set is
8.7 | Fermat’s Little Theorem (mod p)
Theorem (Fermat’s Little Theorem, FT) For all primes and all integers , if , then
Ex: Evaluate
Since is prime and , we know that
Ex: Prove that for all primes , all integers , and all non-negative integers
Assume WLOG that . Also note that Since , we have for some . Since and , we also have . Since , we know by FLT By exponent laws, we have
By congruence and FLT, we have
8.8 | Chinese Remainder Theorem
Ex: Find all solutions to the following:
For all , is a solution to the second congruence if and only if for some Such an is also a solution if and only if For ,
Since 3 is coprime with 13, we can divide both sides by 3
Now, we translate this solution of into
Theorem (Chinese Remainder Theorem) For , the simultaneous linear congruences in
have a unique solution modulo . Thus, if is one particular solution, then the full solution set is all satisfying
Ex: 13a: Solve the following:
Thus, this is the same as the following
Ex 13b: Solve the following
satisfies the first if and only if satisfies the second if and only if and , so there will be 2 solutions
8.9 | Splitting Modulus Theorem
Theorem (Splitting Modulus Theorem) For all and , if , then the simultaneous congruences
have exactly the same solutions in the singular congruence
Ex 14: Solve the following
Since , we can say
Thus
Congruence 1:
Which is not a solution. However, if , then . Therefore, the solutions are
Congruence 2:
With trial and error, we have
Putting this together, we have if and only if satisfies one of the following
By CRT, each of (A) and (B) has a unique solution
9 | RSA Public-Key Encryption Scheme
9.1 | Public-Key Cryptography
Cryptography is the practice and study of secure communication
Traditional Private-Key Cryptography Alice and Bob want to communicate privately
- Agree on a method (cryptosystem) and a key
- Alice encrypts the message (plaintext) using a key and the cryptosystem rules
- Alice sends the encrypted message (ciphertext) to bob
- Bob decrypts it using the key and cryptosystem rules, recovering the plaintext
- Alice and Bob hope that if an eavesdropped Eve intercepts the message, they can’t recover the plaintext
Substitution Cipher
- How many different keys?
What makes a good cryptosystem?
- Practical and resistant to Cryptanalysis (finding weaknesses)
- Unbreakable in practice
- Unbreakable even if some evil person knows the cryptosystem and key
- How do we start setting up an encryption system without encrypting it?
- A puts key in box with lock A
- B puts key in box with lock A and B
- A unlocks lock A
- B unlocks lock B
- Requires 3 transmissions
Public-key Idea
- A large number of users agree on the same cryptosystem
- Users have public encryption keys, but private decryption keys
- It mist be difficult to deduce decryption key from encryption key
9.2 | Implementing the RSA Scheme
Set-up
- Choose distinct primes . Set
- Choose an integer satisfying
- Find the integer satisfying
- Publish the public key
- Secure the private key
Example:
- Choose .
- Choose satisfying
- Find satisfying
- Publish
- Secure
Encryption:
- Generate message with
- Compute satisfying
- Send
Example
- Generate a message , . Choose
- Compute such that
- Send
Decryption
- Compute satisfying
- Read message
Example
- Computer such that
- :)
9.3 | Proving the RSA Scheme Works
Steps to prove that
- and
- and
10 | Complex Numbers
10.1 | Standard Form
Definition () A complex number is an expression of the form . The set of all complex numbers is
Define complex numbers
- for our purposes
- The real part of of is , and the imaginary part is , NOT
- A complex number of the form is purely real
- A complex number of the form is purely imaginary
- is both purely real and purely imaginary :(
- We often use short forms (omitting 0 coefficients)
Definition (Addition and multiplication in ) Let and
Inverses of Complex Numbers Additive Inverse
Multiplicative Inverse
This gives the system of equations
Generalized Formula for Multiplicative Inverse
Subtraction and Division
- for
Exercise: Evaluate
Solution:
To find the inverse:
Returning to the equation:
REMARK: Multiplying by the conjugate does cool things!
Proposition (Properties of complex arithmetic) The following properties hold for all
- Associativity of addition:
- Commutativity of addition:
- Additive identity: where
- Additive inverses: has an additive inverse, denoted by , satisfying If then
- Associativity of multiplication:
- Commutativity of multiplication:
- Multiplicative identity: where
- Multiplicative inverses: If then has a multiplicative inverse, denoted by , satisfying If then
- Distributivity:
10.2 | Conjugate and Modulus
Definition (Conjugate and Modulus) Let be a complex number.
- The complex conjugate of , denoted by
- The modulus of z, denoted by
Example: Solve over Solution: Consider
We need such that
Or in other words
or . If :
If
Thus, our possible values of are Thus, our possible solutions are
Proposition (Properties of Congruence)
- and
- If , then
Proposition (Properties of Modulus)
- if and only if
- If then
Proving Triangle Inequality for modulus of complex numbers:
Consider
Since , and since both are non-negative reals, then
10.3 | Complex Plane and Polar Form
- plane - complex plane
Geometry of
- (conjugate)
Example: Shade the region of the complex plane defined by
It’s an annulus (donut) centered at with inner radius 3 (non-inclusive) and outer radius 5, inverted across the real axis (no change), then shifted 3 across and 4 up.
Polar Form
- Standard Form:
- Polar Form:
- is the angle the line makes with the positive real axis
Cartesian to Polar
Polar to Cartesian
Definition (Polar Form) Take and . Then, the number is represented as
Proposition (Polar Multiplication in ) For all complex numbers, we multiply the moduli and add the arguments :)
Exercise 13: Multiplication in standard form
Polar form for : Since , we have
Polar form for : Since , we have
10.4 | De Moivre’s Theorem
Complex Exponentiation in
Working with complex numbers is nicer. Let
Proposition (De Moivre’s Theorem) For all real numbers and all integers ,
Corollary (of De Moivre’s Theorem) For all complex numbers and , if or then
Proof of DMT Step 1: Proving the positive integers Consider First, we prove for all by induction on .
Base Case: Verify When , we have and So is true
Inductive Step: Let . Assume , that is, For , we have
Therefore , which completes our induction step.
Step 2: Proving the negative integers Now consider an arbitrary . Then for some . Then
Exercise 15: Calculate Step 1: Find a polar form for We have and so a polar form for is given by
Step 2: Find the power in polar form using DMT
Step 3: Find the standard form for
NOTATIONAL CONVENIENCE: Polar forms satisfy the usual exponent laws. Let .
10.5 | Complex n-th Roots
has two solutions:
Exercise 20: Determine all complex numbers satisfying Consider in polar form. Then
These two complex numbers are equal if and only if
Solutions are
This isn’t infinite because and are periodic
Definition (Complex th roots) Let and . The solutions in to the equation are called the complex th roots of a
Proposition (Complex th roots theorem) For all complex numbers and all , the complex th roots of are given by
Example: Find the complex 3rd roots of
10.6 | Square Roots and the Quadratic Formula
Proposition (Quadratic Formula) For , the solutions to are given by
Where is a complex 2nd root of the complex number
Example: Solve Solution: Using the quadratic formula, the solutions are of the dorm
where is a complex 2nd root of Since , we can take the 2nd root Therefore, we have
so the solutions are and
10.7 | Real and Complex Polynomials and their Arithmetic
Definition (Polynomial over or ) A polynomial in over or is written as
We use the notation or to denote the set of all polynomials in over or
Addition, subtraction, multiplication is the same as
10.8 | Roots of Polynomials and Factoring Polynomials
Theorem (Factor Theorem) For all and all , the complex linear polynomial is a factor of if and only if
Theorem (Fundamental Theorem of Algebra) Every non-constant complex polynomial has a complex root.
Proposition (Complex Polynomials of degree have roots) For all and for all complex polynomials of degree n, there exist complex numbers and such that
This is done by applying FTA times.
Definition (Irreducible elements of ) Reducible polynomials can factor into positive-degree polynomials, irreducible polynomials can’t. The irreducible polynomials in are the linear polynomials.
Examples:
- is irreducible
- is irreducible
- , so it is reducible
Exercise: Factor
, so by Factor Theorem,
By Quadratic Formula,
Therefore,
Irreducible elements of
- All linear polynomials are irreducible
- A quadratic is reducible if and only if it has a real root
- An odd-degree polynomial is always reducible and always has a root
- An even-degree polynomial can be reducible regardless of whether or not they have a root
Factoring in :
- If a root if purely real, then that root is also a linear factor
- If a root is not purely real, then its conjugate is also a root (Conjugate Roots Theorem)
Proposition All real polynomials can be written as a product of linear and quadratic factors