MATHEMATICS FOR
ARCHITECTURES
UNIT I.
Fundamentals of
Algebra
ENGR. RUSSEL BANAN
Lesson 1: Sets and
sets operations
A. Sets and Notation
A set is a well-defined collection of distinct objects called elements.
For example, if A is a set of vowels, then we write
A = {a, e, i, o, u}
Sets and sets operations
A.1. Relations on Sets
A.1.1. Relations and Their Properties
1. Binary Relation
Definition: Let A, B be any sets. A binary relation R from A to B, written R:
A x B, is a subset of the set A x B.
Sets and sets operations
A.1. Relations on Sets
A.1.1. Relations and Their Properties
2. Complementary Relation
Definition: Let R be the binary relation from A to B. Then the complement
of R can be defined by .
Sets and sets operations
A.1. Relations on Sets
A.1.1. Relations and Their Properties
3. Inverse Relation
Definition: Let R be the binary relation from A to B. Then the inverse of R
can be defined by
Sets and sets operations
A.1. Relations on Sets
A.1.2. Relations on a Set
Definition: A relation on a set A is a relation from A to A. In other words, a
relation on a set A is a
subset of A x A.
• Digraph
Definition: A directed graph, or digraph, consists of a set V of vertices (or
nodes) together with a set E of ordered pairs of element of V called edges
(or arcs). The vertex a is called the initial vertex of the edge (a, b), and the
vertex b is called the terminal vertex of this edge.
Sets and sets operations
A.1. Relations on Sets
A.1.3. Properties
Reflexive: A relation R on a set A is called reflexive if for every element .
Every vertex has a self-loop.
Sets and sets operations
a
A.1. Relations on Sets
A.1.3. Properties
Symmetric: A relation R on a set A is called symmetric if whenever , for
all .
If there is an edge form one vertex to another, there is an edge in the
opposite direction.
Sets and sets operations
a b
A.1. Relations on Sets
A.1.3. Properties
Antisymmetric: A relation R on a set A such that for all , if and , then a = b
is called antisymmetric.
There is at most one edge between distinct vertices.
Sets and sets operations
a b
A.1. Relations on Sets
A.1.3. Properties
Antisymmetric: A relation R on a set A such that for all , if and , then a = b
is called antisymmetric.
There is at most one edge between distinct vertices.
Some notes on Symmetric and Antisymmetric:
• A relation can be both symmetric and antisymmetric.
• A relation can be neither symmetric nor antisymmetric.
Sets and sets operations
a b
A.1. Relations on Sets
A.1.3. Properties
Transitive: A relation R on a set A is called transitive if whenever and , then
, for all .
If there is a path from one vertex to another, there is an edge from the
vertex to another.
Sets and sets operations
a b
c
B. Operations on Sets
1. Complement of the Set
-The complement of a set A is the set of all elements in the universal set
U, but not in A.
Sets and sets operations
“the complement of A” or “ A
complement”
Example:
Let U = {1, 2, 3, 4, 5, 6}, A = {1, 2, 3}
Find A’.
Solution:
A’ = {4, 5, 6}
Sets and sets operations
2. Union of Sets
-The union of two sets is a set containing all elements that are in A or in B
or in both A and B.
Example:
Let A = {l, o, v, e}, B = {o, v, e, r}
Find A U B.
Solution:
A U B = {l, o, v, e, r}
Sets and sets operations
3. Product of two sets
A Cartesian product of two sets A and B is the set containing ordered pairs
from A and B.
Example:
Let A = {1, 2, 3}, B = {c, d}
Find A x B.
Solution:
A x B = {(1,c), (1,d), (2,c), (2,d), (3,c), (3,d)}
Sets and sets operations
4. Intersection of Sets
The intersection of two sets A and B is the set that contains all elements of
A that also belong to B.
Example 1:
Let A = {d, a, n, g, e, r}, B = {s, t, r, a, n, g, e}
Find A ∩ B.
Solution:
A ∩ B = {a, n, g, e, r}
Sets and sets operations
Example 2:
Let A = {1, 3, 5}, B = {2, 4}
Find A ∩ B
Solution:
A ∩ B = { } No element in common (Disjoint sets)
Sets and sets operations
5. Difference of Sets
The difference of two sets is the set of all elements of A that are not
elements of B.
Example:
Let A = {f, a, t, e}, B = {f, a, t}
Find A – B.
Solution:
A – B = {e}
Sets and sets operations
A – B
“A minus B”
Lesson 2: Sets of real
numbers and their
properties
The chart for the set of real numerals including all the types are given
below:
Set of Real Numbers and their
properties
Set of Real Numbers and their
properties
The subsets of the real numbers can be represented in a Venn diagram as
follows:
Set of Real Numbers and their
properties
The chart for the set of real numerals including all the types are given
below:
Set of Real Numbers and their
properties
Properties of Real Numbers
• Commutative Properties
The commutative property of addition states that numbers may
be added in any order without affecting the sum.
We can better see this relationship when using real numbers.
Similarly, the commutative property of multiplication states that
numbers may be multiplied in any order without affecting the
product.
Set of Real Numbers and their
properties
Again, consider an example with real numbers.
( 11) ( 4) = 44 and ( 4) ( 11) = 44
− ⋅ − − ⋅ −
It is important to note that neither subtraction nor division is
commutative. For example, 17 5 is not the same as 5 17.
− −
Similarly, 20 ÷ 5 ≠ 5 ÷ 20.
Set of Real Numbers and their
properties
• Associative Properties
The associative property of multiplication tells us that it does not
matter how we group numbers when multiplying. We can move
the grouping symbols to make the calculation easier, and the
product remains the same.
Consider this example.
The associative property of addition tells us that numbers may
be grouped differently without affecting the sum.
Set of Real Numbers and their
properties
This property can be especially helpful when dealing with negative
integers. Consider this example.
Are subtraction and division associative?
Review these examples.
As we can see, neither subtraction nor division is associative.
Set of Real Numbers and their
properties
• Distributive Property
The distributive property states that the product of a factor times
a sum is the sum of the factor times each term in the sum.
This property combines both addition and multiplication (and is
the only property to do so). Let us consider an example.
Note that 4 is outside the grouping symbols, so we distribute the 4
by multiplying it by 12, multiplying it by –7, and adding the
products.
Set of Real Numbers and their
properties
• Identity Properties
The identity property of addition states that there is a unique
number, called the additive identity (0) that, when added to a
number, results in the original number.
The identity property of multiplication states that there is a
unique number, called the multiplicative identity (1) that, when
multiplied by a number, results in the original number.
Set of Real Numbers and their
properties
• Inverse Properties
The inverse property of addition states that, for every real number
a, there is a unique number, called the additive inverse (or
opposite), denoted a, that, when added to the original number,
−
results in the additive identity, 0.
For example, if a = 8, the additive inverse is 8, since ( 8) + 8 = 0.
− −
Set of Real Numbers and their
properties
The inverse property of multiplication holds for all real numbers
except 0 because the reciprocal of 0 is not defined. The property
states that, for every real number a, there is a unique number,
called the multiplicative inverse (or reciprocal), denoted , that,
when multiplied by the original number, results in the
multiplicative identity, 1.
For example, if , the reciprocal, denoted , is because
Set of Real Numbers and their
properties
Lesson 3: Operations with
Numbers
To evaluate a mathematical expression, we perform the various
operations. However, we do not perform them in any random order. We
use the order of operations. This is a sequence of rules for evaluating
such expressions.
Recall that in mathematics we use parentheses ( ), brackets [ ], and
braces { } to group numbers and expressions so that anything appearing
within the symbols is treated as a unit. Additionally, fraction bars, radicals,
and absolute value bars are treated as grouping symbols. When
evaluating a mathematical expression, begin by simplifying expressions
within grouping symbols.
Operations with Numbers
Order of Operations
Operations in mathematical expressions must be evaluated in a
systematic order, which can be simplified using the acronym
PEMDAS: P(arentheses)
E(xponents)
M(ultiplication) and D(ivision)
A(ddition) and S(ubtraction)
Operations with Numbers
Given a mathematical expression, simplify it using the order of
operations.
1. Simplify any expressions within grouping symbols.
2. Simplify any expressions containing exponents or radicals.
3. Perform any multiplication and division in order, from left to
right.
4. Perform any addition and subtraction in order, from left to
right.
Operations with Numbers
Examples:
Operations with Numbers
Examples:
Operations with Numbers
Lesson 4: Integral
Exponents
The Product Rule of Exponents
For any real number a and natural numbers m and n, the product
rule of exponents states that
Integral Exponents
Integral Exponents
The Quotient Rule of Exponents
For any real number a and natural numbers m and n, such that m
> n, the quotient rule of exponents states that
Integral Exponents
Integral Exponents
The Power Rule of Exponents
For any real number a and positive integers m and n, the power
rule of exponents states that
Integral Exponents
Integral Exponents
The Zero Exponent Rule of Exponents
For any nonzero real number a, the zero exponent rule of
exponents states that
Integral Exponents
Integral Exponents
Integral Exponents
Integral Exponents
The Negative Rule of Exponents
For any nonzero real number a and natural number n, the negative
rule of exponents states that
Write each of the following products with a single base. Do not
simplify further. Write answers with positive exponents.
Integral Exponents
Integral Exponents
The Power of a Product Rule of Exponents
For any real numbers a and b and any integer n, the power of a
product rule of exponents states that
Integral Exponents
Integral Exponents
The Power of a Quotient Rule of Exponents For any real numbers a
and b and any integer n, the power of a quotient rule of exponents
states that
Integral Exponents
Integral Exponents
Seatwork 1:
Integral Exponents
Lesson 5: Operations with
polynomials
Polynomials
A polynomial is an expression that can be written in the form
Each real number is called a coefficient. The number that is not
multiplied by a variable is called a constant. Each product is a
term of a polynomial. The highest power of the variable that
occurs in the polynomial is called the degree of a polynomial. The
leading term is the term with the highest power, and its
coefficient is called the leading coefficient.
Operations with polynomials
leading coefficient degree
leading term
constant
Operations with polynomials
Operations with polynomials
4.1 Adding and Subtracting Polynomials
We can add and subtract polynomials by combining like terms,
which are terms that contain the same variables raised to the
same exponents. For example, and are like terms, and can be
added to get , but 3x and are not like terms, and therefore cannot
be added.
Operations with polynomials
4.2 Multiplying Polynomials
Multiplying polynomials is a bit more challenging than adding and
subtracting polynomials. We must use the distributive property to
multiply each term in the first polynomial by each term in the
second polynomial. We then combine like terms. We can also use a
shortcut called the FOIL method when multiplying binomials.
Operations with polynomials
4.2.1 Multiplying Polynomials Using the Distributive Property
When multiplying polynomials, the distributive property allows us
to multiply each term of the first polynomial by each term of the
second. We then add the products together and combine like
terms to simplify.
Operations with polynomials
4.2.2 Using FOIL to Multiply Binomials
A shortcut called FOIL is sometimes used to find the product of
two binomials. It is called FOIL because we multiply the first terms,
the outer terms, the inner terms, and then the last terms of each
binomial.
First terms Last Terms
Inner Terms
Operations with polynomials
Use FOIL to find the product.
(2x - 10)(3x + 3)
Operations with polynomials
Operations with polynomials
4.3 Perfect Square Trinomials
When a binomial is squared, the result is the first term squared
added to double the product of both terms and the last term
squared.
Operations with polynomials
Difference of Squares When a binomial is multiplied by a binomial
with the same terms separated by the opposite sign, the result is
the square of the first term minus the square of the last term.
Operations with polynomials
Difference of Squares When a binomial is multiplied by a binomial
with the same terms separated by the opposite sign, the result is
the square of the first term minus the square of the last term.
Operations with polynomials
Lesson 5: Factoring
Polynomials
Greatest Common Factor
The greatest common factor (GCF) of polynomials is the largest
polynomial that divides evenly into the polynomials.
Factoring Polynomials
Factoring Polynomials
Factoring a Trinomial with Leading Coefficient 1
A trinomial of the form can be written in factored form as where
pq = c and p + q = b.
Factoring Polynomials
Factoring Polynomials
Factor by Grouping
To factor a trinomial in the form by grouping, we find two
numbers with a product of ac and a sum of b. We use these
numbers to divide the x term into the sum of two terms and factor
each portion of the expression separately, then factor out the GCF
of the entire expression.
1. List factors of ac.
2. Find p and q, a pair of factors of ac with a sum of b.
3. Rewrite the original expression as .
4. Pull out the GCF of .
5. Pull out the GCF of .
Factoring Polynomials
Factoring Polynomials
We have a trinomial with a = 5, b =
7, and c = 6. First, determine ac =
−
30. We need to find two numbers
−
with a product of 30 and a sum
−
of 7. In Table 1.4, we list factors
until we find a pair with the desired
sum.
Factoring Polynomials
Perfect Square Trinomials
A perfect square trinomial can be written as the square of a
binomial:
Factoring Polynomials
Differences of Squares
A difference of squares can be rewritten as two factors containing
the same terms but opposite signs.
Factoring Polynomials
Sum and Difference of Cubes We can factor the sum of two cubes
as a . We can factor the difference of two cubes as
Factoring Polynomials
Sum and Difference of Cubes We can factor the sum of two cubes
as a . We can factor the difference of two cubes as
Factoring Polynomials
Thank You
for your attention

MFA_L1_Part_1 (1).pptx bbbbbbbbbbbbbbbbbbbbbbbbbbbb

  • 1.
  • 2.
    Lesson 1: Setsand sets operations
  • 3.
    A. Sets andNotation A set is a well-defined collection of distinct objects called elements. For example, if A is a set of vowels, then we write A = {a, e, i, o, u} Sets and sets operations
  • 4.
    A.1. Relations onSets A.1.1. Relations and Their Properties 1. Binary Relation Definition: Let A, B be any sets. A binary relation R from A to B, written R: A x B, is a subset of the set A x B. Sets and sets operations
  • 5.
    A.1. Relations onSets A.1.1. Relations and Their Properties 2. Complementary Relation Definition: Let R be the binary relation from A to B. Then the complement of R can be defined by . Sets and sets operations
  • 6.
    A.1. Relations onSets A.1.1. Relations and Their Properties 3. Inverse Relation Definition: Let R be the binary relation from A to B. Then the inverse of R can be defined by Sets and sets operations
  • 7.
    A.1. Relations onSets A.1.2. Relations on a Set Definition: A relation on a set A is a relation from A to A. In other words, a relation on a set A is a subset of A x A. • Digraph Definition: A directed graph, or digraph, consists of a set V of vertices (or nodes) together with a set E of ordered pairs of element of V called edges (or arcs). The vertex a is called the initial vertex of the edge (a, b), and the vertex b is called the terminal vertex of this edge. Sets and sets operations
  • 8.
    A.1. Relations onSets A.1.3. Properties Reflexive: A relation R on a set A is called reflexive if for every element . Every vertex has a self-loop. Sets and sets operations a
  • 9.
    A.1. Relations onSets A.1.3. Properties Symmetric: A relation R on a set A is called symmetric if whenever , for all . If there is an edge form one vertex to another, there is an edge in the opposite direction. Sets and sets operations a b
  • 10.
    A.1. Relations onSets A.1.3. Properties Antisymmetric: A relation R on a set A such that for all , if and , then a = b is called antisymmetric. There is at most one edge between distinct vertices. Sets and sets operations a b
  • 11.
    A.1. Relations onSets A.1.3. Properties Antisymmetric: A relation R on a set A such that for all , if and , then a = b is called antisymmetric. There is at most one edge between distinct vertices. Some notes on Symmetric and Antisymmetric: • A relation can be both symmetric and antisymmetric. • A relation can be neither symmetric nor antisymmetric. Sets and sets operations a b
  • 12.
    A.1. Relations onSets A.1.3. Properties Transitive: A relation R on a set A is called transitive if whenever and , then , for all . If there is a path from one vertex to another, there is an edge from the vertex to another. Sets and sets operations a b c
  • 13.
    B. Operations onSets 1. Complement of the Set -The complement of a set A is the set of all elements in the universal set U, but not in A. Sets and sets operations “the complement of A” or “ A complement”
  • 14.
    Example: Let U ={1, 2, 3, 4, 5, 6}, A = {1, 2, 3} Find A’. Solution: A’ = {4, 5, 6} Sets and sets operations
  • 15.
    2. Union ofSets -The union of two sets is a set containing all elements that are in A or in B or in both A and B. Example: Let A = {l, o, v, e}, B = {o, v, e, r} Find A U B. Solution: A U B = {l, o, v, e, r} Sets and sets operations
  • 16.
    3. Product oftwo sets A Cartesian product of two sets A and B is the set containing ordered pairs from A and B. Example: Let A = {1, 2, 3}, B = {c, d} Find A x B. Solution: A x B = {(1,c), (1,d), (2,c), (2,d), (3,c), (3,d)} Sets and sets operations
  • 17.
    4. Intersection ofSets The intersection of two sets A and B is the set that contains all elements of A that also belong to B. Example 1: Let A = {d, a, n, g, e, r}, B = {s, t, r, a, n, g, e} Find A ∩ B. Solution: A ∩ B = {a, n, g, e, r} Sets and sets operations
  • 18.
    Example 2: Let A= {1, 3, 5}, B = {2, 4} Find A ∩ B Solution: A ∩ B = { } No element in common (Disjoint sets) Sets and sets operations
  • 19.
    5. Difference ofSets The difference of two sets is the set of all elements of A that are not elements of B. Example: Let A = {f, a, t, e}, B = {f, a, t} Find A – B. Solution: A – B = {e} Sets and sets operations A – B “A minus B”
  • 20.
    Lesson 2: Setsof real numbers and their properties
  • 21.
    The chart forthe set of real numerals including all the types are given below: Set of Real Numbers and their properties
  • 22.
    Set of RealNumbers and their properties
  • 23.
    The subsets ofthe real numbers can be represented in a Venn diagram as follows: Set of Real Numbers and their properties
  • 24.
    The chart forthe set of real numerals including all the types are given below: Set of Real Numbers and their properties
  • 25.
    Properties of RealNumbers • Commutative Properties The commutative property of addition states that numbers may be added in any order without affecting the sum. We can better see this relationship when using real numbers. Similarly, the commutative property of multiplication states that numbers may be multiplied in any order without affecting the product. Set of Real Numbers and their properties
  • 26.
    Again, consider anexample with real numbers. ( 11) ( 4) = 44 and ( 4) ( 11) = 44 − ⋅ − − ⋅ − It is important to note that neither subtraction nor division is commutative. For example, 17 5 is not the same as 5 17. − − Similarly, 20 ÷ 5 ≠ 5 ÷ 20. Set of Real Numbers and their properties
  • 27.
    • Associative Properties Theassociative property of multiplication tells us that it does not matter how we group numbers when multiplying. We can move the grouping symbols to make the calculation easier, and the product remains the same. Consider this example. The associative property of addition tells us that numbers may be grouped differently without affecting the sum. Set of Real Numbers and their properties
  • 28.
    This property canbe especially helpful when dealing with negative integers. Consider this example. Are subtraction and division associative? Review these examples. As we can see, neither subtraction nor division is associative. Set of Real Numbers and their properties
  • 29.
    • Distributive Property Thedistributive property states that the product of a factor times a sum is the sum of the factor times each term in the sum. This property combines both addition and multiplication (and is the only property to do so). Let us consider an example. Note that 4 is outside the grouping symbols, so we distribute the 4 by multiplying it by 12, multiplying it by –7, and adding the products. Set of Real Numbers and their properties
  • 30.
    • Identity Properties Theidentity property of addition states that there is a unique number, called the additive identity (0) that, when added to a number, results in the original number. The identity property of multiplication states that there is a unique number, called the multiplicative identity (1) that, when multiplied by a number, results in the original number. Set of Real Numbers and their properties
  • 31.
    • Inverse Properties Theinverse property of addition states that, for every real number a, there is a unique number, called the additive inverse (or opposite), denoted a, that, when added to the original number, − results in the additive identity, 0. For example, if a = 8, the additive inverse is 8, since ( 8) + 8 = 0. − − Set of Real Numbers and their properties
  • 32.
    The inverse propertyof multiplication holds for all real numbers except 0 because the reciprocal of 0 is not defined. The property states that, for every real number a, there is a unique number, called the multiplicative inverse (or reciprocal), denoted , that, when multiplied by the original number, results in the multiplicative identity, 1. For example, if , the reciprocal, denoted , is because Set of Real Numbers and their properties
  • 33.
  • 34.
    To evaluate amathematical expression, we perform the various operations. However, we do not perform them in any random order. We use the order of operations. This is a sequence of rules for evaluating such expressions. Recall that in mathematics we use parentheses ( ), brackets [ ], and braces { } to group numbers and expressions so that anything appearing within the symbols is treated as a unit. Additionally, fraction bars, radicals, and absolute value bars are treated as grouping symbols. When evaluating a mathematical expression, begin by simplifying expressions within grouping symbols. Operations with Numbers
  • 35.
    Order of Operations Operationsin mathematical expressions must be evaluated in a systematic order, which can be simplified using the acronym PEMDAS: P(arentheses) E(xponents) M(ultiplication) and D(ivision) A(ddition) and S(ubtraction) Operations with Numbers
  • 36.
    Given a mathematicalexpression, simplify it using the order of operations. 1. Simplify any expressions within grouping symbols. 2. Simplify any expressions containing exponents or radicals. 3. Perform any multiplication and division in order, from left to right. 4. Perform any addition and subtraction in order, from left to right. Operations with Numbers
  • 37.
  • 38.
  • 39.
  • 40.
    The Product Ruleof Exponents For any real number a and natural numbers m and n, the product rule of exponents states that Integral Exponents
  • 41.
  • 42.
    The Quotient Ruleof Exponents For any real number a and natural numbers m and n, such that m > n, the quotient rule of exponents states that Integral Exponents
  • 43.
  • 44.
    The Power Ruleof Exponents For any real number a and positive integers m and n, the power rule of exponents states that Integral Exponents
  • 45.
  • 46.
    The Zero ExponentRule of Exponents For any nonzero real number a, the zero exponent rule of exponents states that Integral Exponents
  • 47.
  • 48.
  • 49.
  • 50.
    The Negative Ruleof Exponents For any nonzero real number a and natural number n, the negative rule of exponents states that Write each of the following products with a single base. Do not simplify further. Write answers with positive exponents. Integral Exponents
  • 51.
  • 52.
    The Power ofa Product Rule of Exponents For any real numbers a and b and any integer n, the power of a product rule of exponents states that Integral Exponents
  • 53.
  • 54.
    The Power ofa Quotient Rule of Exponents For any real numbers a and b and any integer n, the power of a quotient rule of exponents states that Integral Exponents
  • 55.
  • 56.
  • 57.
    Lesson 5: Operationswith polynomials
  • 58.
    Polynomials A polynomial isan expression that can be written in the form Each real number is called a coefficient. The number that is not multiplied by a variable is called a constant. Each product is a term of a polynomial. The highest power of the variable that occurs in the polynomial is called the degree of a polynomial. The leading term is the term with the highest power, and its coefficient is called the leading coefficient. Operations with polynomials
  • 59.
    leading coefficient degree leadingterm constant Operations with polynomials
  • 60.
  • 61.
    4.1 Adding andSubtracting Polynomials We can add and subtract polynomials by combining like terms, which are terms that contain the same variables raised to the same exponents. For example, and are like terms, and can be added to get , but 3x and are not like terms, and therefore cannot be added. Operations with polynomials
  • 62.
    4.2 Multiplying Polynomials Multiplyingpolynomials is a bit more challenging than adding and subtracting polynomials. We must use the distributive property to multiply each term in the first polynomial by each term in the second polynomial. We then combine like terms. We can also use a shortcut called the FOIL method when multiplying binomials. Operations with polynomials
  • 63.
    4.2.1 Multiplying PolynomialsUsing the Distributive Property When multiplying polynomials, the distributive property allows us to multiply each term of the first polynomial by each term of the second. We then add the products together and combine like terms to simplify. Operations with polynomials
  • 64.
    4.2.2 Using FOILto Multiply Binomials A shortcut called FOIL is sometimes used to find the product of two binomials. It is called FOIL because we multiply the first terms, the outer terms, the inner terms, and then the last terms of each binomial. First terms Last Terms Inner Terms Operations with polynomials
  • 65.
    Use FOIL tofind the product. (2x - 10)(3x + 3) Operations with polynomials
  • 66.
  • 67.
    4.3 Perfect SquareTrinomials When a binomial is squared, the result is the first term squared added to double the product of both terms and the last term squared. Operations with polynomials
  • 68.
    Difference of SquaresWhen a binomial is multiplied by a binomial with the same terms separated by the opposite sign, the result is the square of the first term minus the square of the last term. Operations with polynomials
  • 69.
    Difference of SquaresWhen a binomial is multiplied by a binomial with the same terms separated by the opposite sign, the result is the square of the first term minus the square of the last term. Operations with polynomials
  • 70.
  • 71.
    Greatest Common Factor Thegreatest common factor (GCF) of polynomials is the largest polynomial that divides evenly into the polynomials. Factoring Polynomials
  • 72.
  • 73.
    Factoring a Trinomialwith Leading Coefficient 1 A trinomial of the form can be written in factored form as where pq = c and p + q = b. Factoring Polynomials
  • 74.
  • 75.
    Factor by Grouping Tofactor a trinomial in the form by grouping, we find two numbers with a product of ac and a sum of b. We use these numbers to divide the x term into the sum of two terms and factor each portion of the expression separately, then factor out the GCF of the entire expression. 1. List factors of ac. 2. Find p and q, a pair of factors of ac with a sum of b. 3. Rewrite the original expression as . 4. Pull out the GCF of . 5. Pull out the GCF of . Factoring Polynomials
  • 76.
    Factoring Polynomials We havea trinomial with a = 5, b = 7, and c = 6. First, determine ac = − 30. We need to find two numbers − with a product of 30 and a sum − of 7. In Table 1.4, we list factors until we find a pair with the desired sum.
  • 77.
  • 78.
    Perfect Square Trinomials Aperfect square trinomial can be written as the square of a binomial: Factoring Polynomials
  • 79.
    Differences of Squares Adifference of squares can be rewritten as two factors containing the same terms but opposite signs. Factoring Polynomials
  • 80.
    Sum and Differenceof Cubes We can factor the sum of two cubes as a . We can factor the difference of two cubes as Factoring Polynomials
  • 81.
    Sum and Differenceof Cubes We can factor the sum of two cubes as a . We can factor the difference of two cubes as Factoring Polynomials
  • 82.