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haL96885 ch12 001-049.qxd10/14/095:45 PMPage 1A Preview of College Algebra12CHAPTERChapter Outline12.1 Solving Systems of Linear Equations by Using AugmentedMatrices12.2 Systems of Linear Equations in Three Variables12.3 Horizontal and Vertical Translations of the Graphs of Functions12.4 Reflecting, Stretching, and Shrinking Graphs of Functions12.5 Algebra of Functions12.6 Sequences, Series, and Summation Notation12.7 Conic SectionsTrain Wheel DesignThe axle of a train is solid so that the wheels must turn together. Onthe arc of a circular curve in the tracks, the wheels must traveldifferent distances while turning the same number of times. This isaccomplished by using a slightly slanted wheel. This allows thewheels to slide on the rails so that the point of contact with the railvaries the turning radius of each wheel. In the figure, which wheel isthe inside wheel on a curve and which is the outside wheel? Thisquestion is examined in Exercise 61 of Exercises 12.1.r1r21

haL96885 ch12 001-049.qxd2(12-2)10/14/095:45 PMPage 2Chapter 12 A Preview of College AlgebraSection 12.1Solving Systems of Linear Equations by UsingAugmented MatricesThe laws of mathematics can be arrived at by the principle of looking for the simplestconcepts and the link between them.PHILOSOPHER,A Mathematical NoteJames Joseph Sylvester(1814–1897) wrote a paperformulating many of theproperties of matrices in 1850and introduced the termmatrix.–RENÉ DESCARTES (FRENCHMATHEMATICIAN AND1596–1650)Objective:1. Use augmented matrices to solve systems of two linear equations with two variables.In Chapter 3, we covered two algebraic methods for solving systems of linear equations:the substitution method and the addition method.Why Do We Need Another Algebraic Method for SolvingSystems of Linear Equations?The answer to this question is that the substitution method and the addition method workfine for relatively simple systems, but these methods become increasingly complicated toexecute for messy coefficients or for larger systems of equations. Graphs and tables arealso limited to linear systems with only two variables.Thus to handle larger systems of linear equations, we will develop over the next twosections the augmented matrix method. This method is very systematic and simplifies thesolution of larger systems of linear equations. This method is also well suited to implementation by computer or calculator. After we have developed the augmented matrixmethod in this section, we illustrate in Section 12.2 how to use the TI-84 Plus calculator toimplement this method.1. Use Augmented Matrices to Solve Systems of Two LinearEquations with Two VariablesWe now develop the augmented matrix method, a method that has many similarities to theaddition method. A matrix is a rectangular array of numbers arranged into rows andcolumns. Each row consists of entries arranged horizontally. Each column consists ofentries arranged vertically. The dimension of a matrix is given by stating first the numberof rows and then the number of columns. The dimension of the following matrix is 2 3,read “two by three,” because it has two rows and three columns.Matrixc5463 1d1Dimension2 32 rows by 3 columnsThe entries in an augmented matrix for a system of linear equations consist of thecoefficients and constants in the equations. To form the augmented matrix for a system,first we align the similar variables on the left side of each equation and the constants onthe right side. Then we form each row in the matrix from the coefficients and the constantof the corresponding equation. A 0 should be written in any position that corresponds to amissing variable in an equation.System of Linear Equations4x y 3ef3x 2y 16Augmented Matrix冤41冷 冥33 2 16Brackets enclose the matrix.Coefficients of xConstantsCoefficients of yOptional vertical bar toseparate coefficients fromthe constant terms

haL96885 ch12 001-049.qxd10/14/095:46 PMPage 312.1 Solving Systems of Linear Equations by Using Augmented MatricesExample 1(12-3)3Writing Augmented Matrices for Systems of Linear EquationsWrite an augmented matrix for each system of linear equations.Solution(a) 2x 5y 113x 4y 52x 3y 29(b)5x 4y 8 0(c) 2x 4 06x y 42 5 11d 3452x 3y 295x 4y 823 29 cd5 4 82x 0y 46x y 42 0 4c d6 1 4cThe x-coefficients 2 and 3 are in the first column. The y-coefficients 5 and 4 are inthe second column. The constants 11 and 5 are in the third column.First write each equation with the constant on the right side of the equation. Thenform the augmented matrix.Write each equation in the form Ax By C, using zero coefficients as needed. Thenform the augmented matrix.Self-Check 1Write the augmented matrix for the system e5x y 3f.3x 2y 8To solve systems of linear equations by using augmented matrices, we need to be ableto represent these systems by using matrices and also be able to write the system of linearequations represented by a given augmented matrix.Example 2Writing Systems of Linear Equations Representedby Augmented MatricesUsing the variables x and y, write a system of linear equations that is represented byeach augmented matrix.Solution45 17 d5 3 128 3 1 (b) cd0 2 101 07 (c) cd0 1 8(a) c4x 5y 175x 3y 128x 3y 10x 2y 10x 0y 70x y 8Each row of the matrix represents an equation with anx-coefficient, a y-coefficient, and a constant on the rightside of the equation.When the coefficient of a variable is 0, you do not have towrite this variable in the equation. For example,0x 2y 10 can be written as 2y 10.The last pair of equations can be written as x 7, y 8.Thus the solution of this system is the ordered pair (7, 8) .Self-Check 2Using the variables x and y, write the system of linear equations represented by the4 3 1 d.augmented matrix c29 4

haL96885 ch12 001-049.qxd4(12-4)10/14/095:46 PMPage 4Chapter 12 A Preview of College AlgebraIn order to simplify or use matrices with a calculator, we must first learn how to entera matrix into a calculator. Technology Perspective 12.1.1 illustrates how to do this with aTI-84 Plus calculator. Note that the MATRIX feature is the secondary function of thexkey.-1TechnologyPerspective 12.1.1Entering a Matrix into a CalculatorEnter the matrix from Example 2(a) into a calculator.TI-84 Plus KeystrokesTI-84 Plus Screens1. Access the matrix EDIT menuby pressing2ndandMATRIXENTERthen.2. Enter the dimensions of this 2 3ENTERmatrix by pressing2andENTERthen 3.3. Enter each element of the matrix.ENTERPressafter each value. Thenpress 2nd QUIT .4. To display a matrix that has beenentered as Matrix 1,ENTERpress2ndMATRIX1.Technology Self-Check 1Enter the matrix from Example 2(b) into a calculator.1 07 d in Example 2(c) is an excellent example of the0 1 8type of matrices that we want to produce. It follows immediately from this matrix that thesolution of the corresponding system of linear equations has x 7 and y 8. Inordered-pair notation, the answer is (7, 8) .The augmented matrix cWhat Matrix Represents the Solution of a System of Linear Equations?1 0 k1 d represents a system of linear equations whose solution0 1 k2is the ordered pair (k1, k2). The material that follows shows how to produce this form.Equivalent systems of equations have the same solution set. The strategy for solvinga system of linear equations is to transform the system into an equivalent system composed of simpler equations. In Chapter 3, we used the properties of equality to justify thetransformations we used to solve systems of linear equations. We review these transformations and give the corresponding elementary row operations on a matrix.A matrix of the form c

haL96885 ch12 001-049.qxd10/14/095:46 PMPage 512.1 Solving Systems of Linear Equations by Using Augmented MatricesTransformations Resultingin Equivalent Systems1. Any two equations in a system maybe interchanged.2. Both sides of any equation in asystem may be multiplied by anonzero constant.3. Any equation in a system may bereplaced by the sum of itself and aconstant multiple of another equationin the system.Elementary Row Operationson Augmented Matrices1. Any two rows in the matrix may beinterchanged.2. Any row in the matrix may bemultiplied by a nonzero constant.3. Any row in the matrix may bereplaced by the sum of itself and aconstant multiple of another row.We use the elementary row operations on an augmented matrix just as if the rows werethe equations they represent. This is illustrated by the parallel development in Example 3.Example 3Solving a System by Using the Addition Methodand the Augmented Matrix MethodSolve the system e3x 2y 2f.x 3y 14SolutionAddition MethodAugmented Matrix Method3x 2y 2fx 3y 14 x 3y 14ef3x 2y 2 2 2 d 314 r1 r21 314 cd32 2 r2¿ r2 3r1eex 3y 14f11y 44cc 10 314 d11 44 r2¿ x 3y 14fy 4 x 2efy 4eAnswer:31(2, 4)1r11 21 314 d01 4 r1¿ r1 3r21 02 cd0 1 4This notation means that the first row is interchangedwith the second row.Replace the second row with itself minus 3 times thefirst row.3x 2y 2 3x 9y 420x 11y 441Multiply the second row by .11cReplace the first row with itself plus 3 times thesecond row. x 3y 143y 12x 0y 2This form gives the answer.Does this answer check?Self-Check 3What is the solution of the system of linear equations represented by1 0 5 d?c0 1 6(12-5) 5

haL96885 ch12 001-049.qxd6(12-6)11/17/0911:13 AMPage 6Chapter 12 A Preview of College AlgebraWhy Do We Use Arrows, Not Equal Symbols, to Denote the Flow from OneMatrix to the Next?The matrices are not equal because entries in them have been changed. However, if we usethe elementary row operations, they do represent equivalent systems of equations and willhelp us to determine the solution of the system of linear equations.The recommended first step in transforming an augmented matrix to the reduced1 0 k1 d is to get a 1 to occur in the row 1, column 1 position.form c0 1 k2Example 4 illustrates three ways to accomplish this. We suggest that you master thenotation that is used to describe each step. This will help you better understand this topicand also prepare you to use calculator and computer commands to perform these elementary row operations.Example 4Using the Notation for Elementary Row OperationsUse the elementary row operations to transform c311 21 d into the form c2 9 d.Solution(a) By interchanging rows 1 and 2(b) By multiplying row 1 by13(c) By replacing row 1 with the sumof row 1 and 2 times row 2.311 2 d2 93c11 2 d2 9c1 21r1 r1 2r2 d c2 91c31r r12 r1 r13 c13 112 9 d1 2The notation r1 4 r2 denotes thatrows 1 and 2 have beeninterchanged.1 23 † 3§2 9r1¿ denotes the new row 1 obtained1by multiplying r1 by .3 3 16 d29r1¿ denotes the new row 1 obtained byadding row 1 and 2 times row 2.Self-Check 4Perform the indicated elementary row operations to produce new matrices.a. c431b. c21c. c01 11 dd r1 r1 r2 c2 12 3 2 121911 9r2 r2 2r1 d dc 3 23r23 713 7r2 dc d2 2 6The method used in Example 4(a) may be the easiest to apply, but it works only whenthere is a coefficient of 1 in another row to shift to this first row. The method used in part(c) is often used to avoid the fractions that can result from the method in part (b).Example 5 uses the elementary row operations to solve a system of linear equations.

haL96885 ch12 001-049.qxd10/14/095:46 PMPage 7(12-7) 712.1 Solving Systems of Linear Equations by Using Augmented MatricesExample 5Solving a System of Linear Equations by Using an Augmented MatrixUse an augmented matrix and elementary row operations to solve e2x 3y 4f.x 4y 3Solutione2x 3y 4fx 4y 32 34 d1 4 31 4 3c d2 3414 3 dc0 5101 4 3 cd0 1 21 05 cd0 1 2x 0y 50x y 2cr r12 r r 2r221 r2 r2 5 r r 4r112 Answer:(5, 2)First form the augmented matrix.1 0 k1 d , interchange rows0 1 k21 and 2 to place a 1 in row 1, column 1.To work toward the reduced form cNext add 2r1 to r2 to produce a 0 in row 2, column 1.Then divide row 2 by 5 to produce a 1 in row 2, column 2.To complete the transformation to the form c10a 0 in row 1, column 2 by adding 4r2 to r1.0 k1 d , produce1 k2Write the equivalent system of equations for the reduced form.Does this answer check?Self-Check 5Use an augmented matrix and elementary row operations to solve e2x 9y 7f.x 5y 3Note that in Example 5, we first worked on column 1 and then on column 2. Thiscolumn-by-column strategy is recommended for transforming all augmented matrices toreduced form. This strategy also is used in Example 6.Example 6Solving a System of Linear Equations by Using an Augmented MatrixUse an augmented matrix and elementary row operations to solve e4x 3y 3f.2x 9y 4Solutione4x 3y 3f2x 9y 4r1 r14 r r 2r221 r2 2r215 c42 1 210103 3 d9 43 34 † 4§9 43 34 4 15 52 23 34 4 113First form the augmented matrix.1Then work on putting column 1 in the form c0r11means to multiply row 1 by .44 d.r2 2r1 means to subtract twice row 1 from row 2.Next work on column 2 to put the matrix in the reduced form c22r means to multiply row 2 by .15 215100 k1 d.1 k2

haL96885 ch12 001-049.qxd8(12-8)11/17/0911:16 AMChapter 12 A Preview of College Algebra3r1 r1 r24 Answer:Page 812 10 131x 0y 210x y 3101 1a , b2 333r1 r2 means to subtract r2 from row 1.44Write the equivalent system of equations for the reduced form.Does this answer check?Self-Check 6Use an augmented matrix and elementary row operations to solve e4x 3y 9f.2x 3y 01 0 k1 d always yields a unique solution for a consistent system0 1 k2of independent equations. For an inconsistent system with no solution or a consistent system of dependent equations with an infinite number of solutions, the reduced form is different. We now examine these two possibilities. Solving an inconsistent system by theaddition method produces an equation that is a contradiction. Note the matrix equivalentof this in Example 7.The reduced form cExample 7Solving an Inconsistent System by Using an Augmented MatrixUse an augmented matrix and elementary row operations to solve ex 2y 3f.5x 10y 11Solutionex 2y 3f5x 10y 11cr r 5r221 Answer:123 d5 10 1131 2 cd0 0 4x 2y 30 0 4First form the augmented matrix.1 d.0There is no need to proceed further because the last row in the matrixcorresponds to an equation that is a contradiction. Thus the originalsystem of equations is inconsistent and has no solution.Then work on putting column 1 in the form cThere is no solution.Self-Check 7Write the solution of the system of linear equations represented by c100 7 d.0 6We encourage you to compare this Example 7 to the Example 7 in Section 3.5 wherethe same problem was worked by the addition method. Example 8 examines a consistentsystem of dependent equations.

haL96885 ch12 001-049.qxd10/14/095:46 PMPage 912.1 Solving Systems of Linear Equations by Using Augmented MatricesExample 8(12-9) 9Solving a Consistent System of Dependent Equations by Usingan Augmented MatrixUse an augmented matrix and elementary row operations to solve e 4x 10y 2f.6x 15y 3Solutione 4x 10y 2f6x 15y 310 2d 1535 11 2 † 2§ 6 15 35 11 2† 2§ 00 051x y 220x 0y 015x y 22c1r1 r14 r2 r2 6r1 46Answer: There are infinitely many solutions,15all having the form a y , yb.22First form the augmented matrix.Then work on putting column 1 in the form c10 d.The last row corresponds to an equation that is an identity. Itcannot be used to simplify column 2 further.These two equations form a dependent system of equations withan infinite number of solutions.Because the coefficient of x in the first equation is 1, solve thisequation for x in terms of y. You can also solve this equation for12y in terms of x and express the answer in the form ax, x b.55You may wish to confirm that both of these represent the sameset of points. All the solutions are points on the same line,points that can be written in this form.Self-Check 8Write the solution of the system of linear equations represented by c10 1 4 d.0 0The general solution of a system of dependent linear equations describes all solutionsof the system and is given by indicating the relationship between the coordinates of thesolutions. The particular solutions obtained from the general solution contain only constant coordinates.51The general solution in Example 8 is a y , yb. By arbitrarily selecting y-values,22we can produce as many particular solutions as we wish. For y 0 and y 1, we obtain1two particular solutions a , 0b and (3, 1).2Self-Check Answers5 1 3 d3 284x 3y 12. ef2x 9y 43. (5, 6)1. c1 1 1 d32 121 1 9b. c d0 1 51 3 7c. c d0 1 34. a. c5. ( 8, 1)6. (1.5, 1)7. There is no solution; it is aninconsistent system.8. A dependent system with ageneral solution (y 4, y) ;three particular solutions are(4, 0), (5, 1), and (6, 2).

haL96885 ch12 001-049.qxd10(12-10)10/14/095:46 PMPage 10Chapter 12 A Preview of College AlgebraTechnology Self-Check Answer1.12.1Using the Language and Symbolism of Mathematics1. A matrix is aarray of numbers.2. The entries in an augmented matrix for a system oflinear equations consist of theandin the equations.3.systems of equations have the samesolution set.4. The notation r1 4 r2 denotes that rows 1 and 2 for amatrix are.15. The notation r1¿ r1 denotes that row2being replaced by multiplying the current rowby.12.16. The notation to represent that row 2 is being replacedby the sum of the current row 2 plus twice row 1 is.7. Thesolution of a system of dependentlinear equations describes all solutions of the systemand is given by indicating the relationship between thecoordinates of the solutions.8. Thesolutions obtained from a generalsolution contain only constant coordinates.isQuick Review1. Determine whether ( 2, 5) is a solution of the system4x 3y 7ef.5x 2y 12x 3y 42. If the x-coordinate of the solution of ef3x 2y 11is 5, determine the y-coordinate.12.1yx 1 are multiplied23by 6, the resulting equivalent equation is.3. If both sides of the equation3x 4y 8f by the substitution method.x 2y 22x 5y 15. Solve ef by the addition method.3x 4y 134. Solve eExercisesObjective 1 Use Augmented Matrices to Solve Systemsof Two Linear Equations with Two VariablesIn Exercises 1–6, write an augmented matrix for eachsystem of linear equations.1. 3x y 02. 5x y 32x y 54x 3y 293.4. 2x 7y 34x 123x 2y 1 3y 35. x 56. x 4y 6y 11In Exercises 7–12, write a system of linear equations in xand y that is represented by each augmented matrix.23 25 1 0 7. c8. cd d4 3 132 132 1 123 5 d9. c d10. c1 3 06 4 211. c1007 d1 812. 1023 41 50

haL96885 ch12 001-049.qxd11/17/0911:18 AMPage 1112.1 Solving Systems of Linear Equations by Using Augmented MatricesIn Exercises 13–20, use the given elementary rowoperations to complete each matrix.213. c11 1 d3 0 6 3 414. c d1 2 11 3 2 15. cd2 541 1 1 16. cd2 3 217. c36 dc r1 r2 dcr2 r2 2r11 3 2 c dr2 r2 2r11 1 1 c dr1 r21r1 r13 13 d4 6 c6 d4 61r1 r12312 d18. cdc 3 3 213 3 21r1 r1 5r21 5 16 d19. cdc0 1301 3r1 r1 4r21 4 10 d20. cd c01 201 2In Exercises 21–26, write the solution for the system of linearequations represented by each augmented matrix. If thematrix represents a consistent system of dependent equations,write the general solution and three particular solutions.1 0 51 0 4 21. c22. cd d0 190 1 61 4 31 35 d 23. c24. cd0 0 700 21 3 51 2 3 d d25. c26. c0 0 000 0In Exercises 27–34, label the elementary row operationused to transform the first matrix to the second. Use thenotation developed in this section.27. c236 81r1 ? d c7 10328. c235 9 d2 8129. c358 d2 230. c12131. c03 3 23132. c06 2 d3 133. c2 6 d1 110 8d78 d 934 d7 105 91?2 † 2 § 3 2 81 c0?58 d 13 26138 d0 9 91 28? d c01 31 6 2? † 1§ 0 131 0 4? d c0 1 1 c?34. 132† 1§130 ?10(12-11) 1101† 1§13In Exercises 35–50, use an augmented matrix andelementary row operations to solve each system of linearequations.35. x 3y 536. x 2y 92x y 53x 4y 737. x 3y 138. x 2y 73x 7y 74x 3y 339. 2x 5y 440. 2x 3y 174x 3y 64x y 1341. 4x 9y 542. 8x 3y 393x 12y 107x 2y 1143. 3x y 244. 3x 4y 02x y 62x 3y 1645. 6x 4y 1146. 5x y 710x 6y 172x 4y 547. 3x 4y 748. 4x 3y 26x 8y 1016x 12y 749. 2x y 550. 3x 6y 124x 2y 104x 8y 16Connecting Concepts to ApplicationsIn Exercises 51–60, write a system of linear equationsusing the variables x and y, and use this system to solve theproblem.51. Numeric Word Problem Find two numbers whosesum is 160 and whose difference is 4.52. Numeric Word Problem Find two numbers whosesum is 260 if one number is 3 times the other number.53. Complementary Angles The two angles shown arecomplementary, and one angle is 32 larger than theother. Determine the number of degrees in eachangle.xy54. Supplementary Angles The two angles shown aresupplementary, and one angle is 74 larger than theother. Determine the number of degrees in eachangle.xy

haL96885 ch12 001-049.qxd12(12-12)11/17/0911:19 AMPage 12Chapter 12 A Preview of College Algebra55. Fixed and Variable Costs A seamstress makes customcostumes for operas. One month the total of fixed andvariable costs for making 20 costumes was 3,200. Thenext month the total of the fixed and variable costs formaking 30 costumes was 4,300. Determine the fixedcost and the variable cost per costume.56. Rates of Two Bicyclists Two bicyclists depart at thesame time from a common location, traveling inopposite directions. One averages 5 km/h more than theother. After 2 hours, they are 130 km apart. Determinethe speed of each bicyclist.57. Rate of a River Current A small boat can go 30 kmdownstream in 1 hour, but only 14 km upstream in1 hour. Determine the rate of the boat and the rate ofthe current.58. Mixture of Two Disinfectants A hospital needs 100 Lof a 15% solution of disinfectant. How many liters of a40% solution and a 5% solution should be mixed toobtain this 15% solution?59. Mixture of a Fruit Drink A fruit concentrate is 15%water. How many liters of pure water and how manyliters of concentrate should be mixed to produce 100 Lof mixture that is 83% water?60. Basketball Scores During one game for the PhoenixSuns, Steve Nash scored 39 points on 17 field goals.How many of these field goals were 2-pointers and howmany were 3-pointers?61. Radius of a Train Wheel On a curve, the radius r1 ofthe inside train wheel is less than the radius r2 of theoutside wheel. This allows the outside wheel to travel agreater distance as the train goes around the curve. Onone curve, both radii are measured in inches, and theresult is r2 r1 0.25. The inside wheel covers12.1111.5 inches per revolution. Determine the radius of theinside wheel and the radius of the outside wheel.r1r2Group discussion questionsa1x b1y c1f for (x, y)a2x b2y c2in terms of a1, a2, b1, b2, c1, and c2. Assume thata1b2 a2b1 0.63. Discovery Questiona. Extend the augmented matrix notation given forsystems of two linear equations with two variablesto write an augmented matrix for this system.x 2y 3z 5 2x y z 1 ¶3x y z 4b. Write a system of linear equations that is representedby this augmented matrix. Use the variables x, y, and z.2 332 402 † 1 § 24 3 2c. Write a system of linear equations that is representedby this augmented matrix. Use the variables w, x, y,and z.3 41 111 4 24 1 2 45372 1 147Cumulative62. Challenge Question Solve eCumulative Review1. Write the first five terms of the arithmetic sequencedefined by an 2n 1.2. Write the 50th term of the arithmetic sequence definedby an 2n 1.3. Write the first five terms of the geometric sequencedefined by an 2n 1.4. Simplify(12a 3b) 0 (12a) 0 (3b) 0 12a0 3b0assuming all bases are nonzero.5. Simplify ( 1) 4 4 1 (1) 1/4.

haL96885 ch12 001-049.qxd10/23/098:50 PMPage 13(12-13) 1312.2 Systems of Linear Equations in Three VariablesSection 12.2Systems of Linear Equations in Three VariablesObjective:1. Solve a system of three linear equations in three variables.A first-degree equation in two variables of the form Ax By C is called a linear equation because its graph is a straight line if A and B are not both 0. Similarly, a first-degreeequation in three variables of the form Ax By Cz D also is called a linear equation.However, this name is misleading because if A, B, and C are not all 0, the graph ofAx By Cz D is not a line but a plane in three-dimensional space.The graph of a three-dimensional space on two-dimensional paper is limited in itsportrayal of the third dimension. Nonetheless, we can give the viewer a feeling for planesin a three-dimensional space by orienting the x-, y-, and z-axes as shown in the figure. Thisgraph illustrates the plane 2x 3y 4z 12, whose x-intercept is (6, 0, 0), whosey-intercept is (0, 4, 0), and whose z-intercept is (0, 0, 3). Drawing lines to connect theseintercepts gives the view of the plane in the region where all coordinates are positive.The plane defined by2x 3y 4z 12z543 5 4 31 2 1 5 4 3 2 112 136x5y1 2 3 4 5 3 4 51. Solve a System of Three Linear Equations in Three VariablesA system of three linear equations in three variables is referred to as a 3 3 (three-bythree) system. A solution of a system of equations with the three variables x, y, and z is anordered triple (x, y, z) that is a solution of each equation in the system.Example 1Determining Whether an Ordered Triple Is a Solution of a Systemof Linear Equationsx y z 6Determine whether (2, 3, 5) is a solution of 2x y z 12 ¶ .3x 2y 2z 3SolutionFirst EquationSecond EquationThird Equationx y z 62 ( 3) 5 ? 6 6 ? 6 is true.2x y z 122(2) ( 3) 5 ? 124 3 5 ? 1212 ? 12 is true.3x 2y 2z 33(2) 2( 3) 2(5) ?36 6 10 ?32 ? 3 is false.Answer:(2, 3, 5) is not a solution of this system.To be a solution of this system, the point must satisfy all three equations.Self-Check 1Determine whether (2, 3.25, 4.75) is a solution of the system in Example 1.The graph of each linear equation Ax By Cz D is a plane in three-dimensionalspace unless A, B, and C are all 0. A system of three linear equations in three variables canbe viewed geometrically as the intersection of a set of three planes. These planes mayintersect in one point, no points, or an infinite number of points. The illustrations in thefollowing box show some of the ways we can obtain these solutions. Can you sketch otherways of obtaining these solution sets?

haL96885 ch12 001-049.qxd14(12-14)10/14/095:47 PMPage 14Chapter 12 A Preview of College AlgebraTypes of Solution Sets for Linear Systems with Three EquationsA1x B1y C1z D1The linear system A2x B2y C2z D2 ¶ can haveA3x B3y C3z D3One SolutionIAn Infinite Numberof SolutionsNo SolutionIIIIIIIIIIIIIIIIIThe planes intersect at asingle point; the systemis consistent and theequations areindependent.The planes have no pointin common; the system isinconsistent.The planes intersect alonga line and thus have aninfinite number of commonpoints; the system isconsistent and theequations are dependent.Can I Use Graphs to Solve Systems of Three Linear Equationswith Three Variables?No, although the figures in the box can give us an intuitive understanding of the possiblesolutions to these systems it is not practical to actually solve these systems graphically.Thus we rely entirely on algebraic methods.In this section, we illustrate two methods for solving systems of three linear equationsin three variables (3 3 systems). Example 2 extends the substitution and addition methods from Sections 3.4 and 3.5 to solve a 3 3 system. Later in the section, we use augmented matrices, which were introduced in Section 12.1.Equivalent systems of equations have the same solution set. The general goal of eachstep of a solution process is to produce an equivalent system that is simpler than the previous step. By eliminating some of the variables, we can reduce a 3 3 system to a systemwith only two variables, and then we can eliminate another variable to produce an equation with only one variable. We can then back-substitute to obtain the values of the othertwo variables. This strategy is outlined in the following box.Strategy for Solving a 3 3 System of Linear Equations*Step 1. Write each equation in the general form Ax By Cz D.Step 2. Select one pair of equations and use the substitution method or the additionmethod to eliminate one of the variables.Step 3. Repeat step 2 with another pair of equations. Be sure to eliminate the samevariable as in step 2.Step 4. Eliminate another variable from the pair of equations produced in steps 2 and 3,and solve this 2 2 system of equations.Step 5. Back-substitute the values from step 4 into one of the original equations to solvefor the third variable.Step 6. Does this solution check in all three of the original equations?*If a contradiction is obtained in any of these steps, the system is inconsistent and has no solution. If an identity isobtained in any step, the system is either dependent with infinitely many solutions or inconsistent with no solution.

haL96885 ch12 001-049.qxd10/14/095:47 PMPage 1512.2 Systems of Linear Equations in Three VariablesExample 2(12-15) 15Solving a 3 3 System of Linear Equationsx y z 2Solve the system x y 2z 1 ¶ .x y z 0SolutionProduce a 2 2 System of Equations(1)x y z 2(2) x y 2z 1 ¶(3)x y z 0x y z 2(1)(2) x y 2z 12y z 32y z 3f.The 2 2 system of equations is e2y 3z 1(2) x y 2z 1x y z 0(3)2y

A Preview of College Algebra 12 CHAPTER r 1 r 2 haL96885_ch12_001-049.qxd 10/14/09 5:45 PM Page 1. 2 (12-2) Chapter 12 A Preview of College Algebra Section 12.1 Solving Systems of Linear Equations by Using Augmented Matrices The laws of mathematics can b

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DEDICATION PART ONE Chapter 1 Chapter 2 Chapter 3 Chapter 4 Chapter 5 Chapter 6 Chapter 7 Chapter 8 Chapter 9 Chapter 10 Chapter 11 PART TWO Chapter 12 Chapter 13 Chapter 14 Chapter 15 Chapter 16 Chapter 17 Chapter 18 Chapter 19 Chapter 20 Chapter 21 Chapter 22 Chapter 23 .

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By Imran Ali - April 10, 2020 Home / Books / Suno tum sitary ho 700.00 Additional information Reviews (0) You're Reading a Free Preview Pages 12 to 23 are not shown in this preview. You're Reading a Free Preview Pages 28 to 55 are not shown in this preview. You're Reading a Free Preview Pages 62 to 67 are not

About the husband’s secret. Dedication Epigraph Pandora Monday Chapter One Chapter Two Chapter Three Chapter Four Chapter Five Tuesday Chapter Six Chapter Seven. Chapter Eight Chapter Nine Chapter Ten Chapter Eleven Chapter Twelve Chapter Thirteen Chapter Fourteen Chapter Fifteen Chapter Sixteen Chapter Seventeen Chapter Eighteen

18.4 35 18.5 35 I Solutions to Applying the Concepts Questions II Answers to End-of-chapter Conceptual Questions Chapter 1 37 Chapter 2 38 Chapter 3 39 Chapter 4 40 Chapter 5 43 Chapter 6 45 Chapter 7 46 Chapter 8 47 Chapter 9 50 Chapter 10 52 Chapter 11 55 Chapter 12 56 Chapter 13 57 Chapter 14 61 Chapter 15 62 Chapter 16 63 Chapter 17 65 .