COLLEGE ALGEBRA 10 TH EDITION LIAL HORNSBY SCHNEIDER 1.1-1

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Transcription:

10 TH EDITION COLLEGE ALGEBRA LIAL HORNSBY SCHNEIDER 1.1-1

1.1 Linear Equations Basic Terminology of Equations Solving Linear Equations Identities 1.1-2

Equations An equation is a statement that two expressions are equal. x + 2 =9 11x = 5x + 6x x 2 2x 1 = 0 To solve an equation means to find all numbers that make the equation true. The numbers are called solutions or roots of the equation. A number that is a solution of an equation is said to satisfy the equation, and the solutions of an equation make up its solution set. Equations with the same solution set are equivalent equations. 1.1-3

Addition and Multiplication Properties of Equality For real numbers a, b, and c: If a = b, then a + c = b + c. That is, the same number may be added to both sides of an equation without changing the solution set. 1.1-4

Addition and Multiplication Properties of Equality For real numbers a, b, and c: If a = b and c 0, then ac = bc. That is, both sides of an equation may be multiplied by the same nonzero number without changing the solution set. 1.1-5

Linear Equation in One Variable A linear equation in one variable is an equation that can be written in the form ax + b = 0, where a and b are real numbers with a 0. 1.1-6

Example 1 Solution: SOLVING A LINEAR EQUATION Solve 3(2x 4) 7 ( x 5) 3(2x 4) 7 ( x 5) 6x 12 7 x 5 6x 12 2 x 6x 12 x 2 x x 7x 12 2 7x 12 12 2 12 Divide each side by 7. 7x 14 7x 14 7 7 x Distributive Property Combine terms. Add x to each side. Combine terms. Add 12 to each side. Combine terms. 2 Be careful with signs. 1.1-7

Example 1 SOLVING A LINEAR EQUATION Check: 3(2x 4) 7 ( x 5) Original equation A check of the solution is recommended. 3(2 2 4) 7 (2 5) 3(4 4) 7 (7) 0 0? Let x = 2.? True 1.1-8

Example 2 Solve 2t 4 1 1 7 t t 3 2 4 3 Solution: 2t 4 1 1 7 12 t 12 t 3 2 4 3 CLEARING FRACTIONS BEFORE SOLVING A LINEAR EQUATION Multiply by 12, the LCD of the fractions. 4(2t 4) 6t 3t 28 Distributive property 8t 16 6t 3t 28 Distributive property 14t 16 3t 28 Combine terms. Distribute the 12 to all terms within parentheses! 1.1-9

Example 2 Solve 2t 4 1 1 7 t t 3 2 4 3 Solution: CLEARING FRACTIONS BEFORE SOLVING A LINEAR EQUATION 14t 16 3t 28 Combine terms. 11t 44 Subtract 3t; subtract 16. t 4 Divide by 11. 1.1-10

Identities, Conditional Equations, and Contradictions An equation satisfied by every number that is a meaningful replacement for the variable is called an identity. 3( x 1) 3x 3 1.1-11

Identities, Conditional Equations, and Contradictions An equation satisfied by some numbers but not others, such as 2x =4, is called a conditional equation. 2x 4 1.1-12

Identities, Conditional Equations, and Contradictions An equation that has no solution, such as x = x +1, is called a contradiction. x x 1 1.1-13

Example 3 IDENTIFYING TYPES OF EQUATIONS Decide whether this equation is an identity, a conditional equation, or a contradiction. a. 2( x 4) 3x x 8 Solution: 2( x 4) 3x x 8 2x 8 3x x 8 Distributive property x 8 x 8 Combine terms 0 0 Subtract x and add 8. 1.1-14

Example 3 IDENTIFYING TYPES OF EQUATIONS Decide whether this equation is an identity, a conditional equation, or a contradiction. a. 2( x 4) 3x x 8 Solution: 0 0 Subtract x and add 8. When a true statement such as 0 = 0 results, the equation is an identity, and the solution set is {all real numbers}. 1.1-15

Example 3 IDENTIFYING TYPES OF EQUATIONS Decide whether this equation is an identity, a conditional equation, or a contradiction. b. 5x 4 11 Solution: 5x 4 11 5x 15 Add 4. x 3 Divide by 5. This is a conditional equation, and its solution set is {3}. 1.1-16

Example 3 IDENTIFYING TYPES OF EQUATIONS Decide whether this equation is an identity, a conditional equation, or a contradiction. c. 3(3x 1) 9x 7 Solution: 3(3x 1) 9x 7 9x 3 9x 7 3 7 Distributive property Subtract 9x. When a false statement such as 3 = 7 results, the equation is a contradiction, and the solution set is the empty set or null set, symbolized by. 1.1-17

Identifying Linear Equations as Identities, Conditional Equations, or Contradictions 1. If solving a linear equation leads to a true statement such as 0 = 0, the equation is an identity. Its solution set is {all real numbers}. 2. If solving a linear equation leads to a single solution such as x = 3, the equation is conditional. Its solution set consists of a single element. 3. If solving a linear equation leads to a false statement such as 3 = 7, then the equation is a contradiction. Its solution set is. 1.1-18