The document discusses solving systems of linear equations. It provides examples of solving systems graphically and algebraically. Example 1 shows solving the system x + y = 3 and -2x + y = -6 by graphing the lines defined by each equation on the same xy-plane and finding their point of intersection, which is the solution to the system.
This document provides an example of solving a system of 3 linear equations in 3 variables. It shows setting the equations equal to each other to eliminate variables, resulting in a single variable that can be solved for. Plugging this solution back into the original equations finds the solutions for the other 2 variables, providing the ordered triple solution. The example solves for x = -2, y = 6, z = 4.
The document discusses solving systems of inequalities by graphing. It provides examples of drawing the graphs of two or more inequalities on the same coordinate plane and identifying the region that satisfies all inequalities. This region represents the solution to the system of inequalities. The examples illustrate solving systems with lines, finding the vertices of a triangle defined by inequalities, and representing a real-world situation with a system of inequalities.
This document discusses linear programming and optimization. It begins with essential questions about finding maximum and minimum values of functions over regions. Key vocabulary is defined, including linear programming, feasible region, bounded, unbounded, and optimize. Two examples are provided to demonstrate how to graph inequality systems, identify feasible regions, and find the maximum and minimum values of an objective function over those regions using linear programming techniques.
This document provides examples for solving systems of linear equations in three variables. It begins with an example using elimination to solve the system 5x - 2y - 3z = -7, etc. step-by-step, reducing it to a 2x2 system and solving for x, y, and z. The next example uses substitution to solve a word problem about ticket sales. It shows setting up and solving a 3x3 system. The document concludes with an example of a system having an infinite number of solutions.
This document provides examples of finding Taylor and Maclaurin series expansions for various functions. It gives the step-by-step workings for finding the first few terms of series expansions centered at different points for functions like ln(x), 1/x, sin(x), x^4 + x^2, (x-1)e^x, and others. It also discusses using these expansions to approximate integrals and find sums of infinite series.
This document discusses solving linear systems by elimination. It provides 4 steps: 1) look for like terms with opposite coefficients, 2) if none, multiply an equation by a constant, 3) add equations to eliminate a variable, 4) plug the solution back into one equation to solve for the other variable. It includes 3 examples of solving systems using this elimination method and prompts the reader to solve additional systems on their own.
This document discusses solving nonlinear systems of equations. It provides 6 examples of solving nonlinear systems using various methods like substitution, elimination, and a combination of methods. It also discusses how to visualize the graphs of nonlinear systems and how complex solutions may arise. The final example uses a nonlinear system to find the dimensions of a box given the volume and surface area. Key methods taught are substitution, elimination, factoring, and using the quadratic formula.
The document describes how to solve simultaneous equations using three steps: 1) eliminate a variable from the equations, 2) solve for the remaining variable, and 3) substitute back to find the eliminated variable. It provides an example showing these steps to solve two simultaneous equations for x and y. It then shows another example involving eliminating variables to create two new equations that can be solved simultaneously for y and z. The key points are eliminating variables to reduce the equations, then solving the reduced equations to find the values of the variables.
This document provides an example of solving a system of 3 linear equations in 3 variables. It shows setting the equations equal to each other to eliminate variables, resulting in a single variable that can be solved for. Plugging this solution back into the original equations finds the solutions for the other 2 variables, providing the ordered triple solution. The example solves for x = -2, y = 6, z = 4.
The document discusses solving systems of inequalities by graphing. It provides examples of drawing the graphs of two or more inequalities on the same coordinate plane and identifying the region that satisfies all inequalities. This region represents the solution to the system of inequalities. The examples illustrate solving systems with lines, finding the vertices of a triangle defined by inequalities, and representing a real-world situation with a system of inequalities.
This document discusses linear programming and optimization. It begins with essential questions about finding maximum and minimum values of functions over regions. Key vocabulary is defined, including linear programming, feasible region, bounded, unbounded, and optimize. Two examples are provided to demonstrate how to graph inequality systems, identify feasible regions, and find the maximum and minimum values of an objective function over those regions using linear programming techniques.
This document provides examples for solving systems of linear equations in three variables. It begins with an example using elimination to solve the system 5x - 2y - 3z = -7, etc. step-by-step, reducing it to a 2x2 system and solving for x, y, and z. The next example uses substitution to solve a word problem about ticket sales. It shows setting up and solving a 3x3 system. The document concludes with an example of a system having an infinite number of solutions.
This document provides examples of finding Taylor and Maclaurin series expansions for various functions. It gives the step-by-step workings for finding the first few terms of series expansions centered at different points for functions like ln(x), 1/x, sin(x), x^4 + x^2, (x-1)e^x, and others. It also discusses using these expansions to approximate integrals and find sums of infinite series.
This document discusses solving linear systems by elimination. It provides 4 steps: 1) look for like terms with opposite coefficients, 2) if none, multiply an equation by a constant, 3) add equations to eliminate a variable, 4) plug the solution back into one equation to solve for the other variable. It includes 3 examples of solving systems using this elimination method and prompts the reader to solve additional systems on their own.
This document discusses solving nonlinear systems of equations. It provides 6 examples of solving nonlinear systems using various methods like substitution, elimination, and a combination of methods. It also discusses how to visualize the graphs of nonlinear systems and how complex solutions may arise. The final example uses a nonlinear system to find the dimensions of a box given the volume and surface area. Key methods taught are substitution, elimination, factoring, and using the quadratic formula.
The document describes how to solve simultaneous equations using three steps: 1) eliminate a variable from the equations, 2) solve for the remaining variable, and 3) substitute back to find the eliminated variable. It provides an example showing these steps to solve two simultaneous equations for x and y. It then shows another example involving eliminating variables to create two new equations that can be solved simultaneously for y and z. The key points are eliminating variables to reduce the equations, then solving the reduced equations to find the values of the variables.
The document discusses the elimination method for solving systems of equations. It explains that the elimination method involves choosing a variable to eliminate, adding or subtracting the equations to cancel out the variable, solving the resulting equation for the remaining variable, and then back-substituting to solve for the other variable. Examples are provided demonstrating how to use both addition and multiplication when eliminating variables to solve systems of two equations.
The document discusses solving systems of linear equations with two or three variables. There are three possible cases for the solution: 1) a unique solution, 2) infinitely many solutions (a dependent system), or 3) no solution. The document demonstrates solving systems using substitution and elimination methods, and provides examples of each case. Graphically, case 1 corresponds to intersecting lines or planes, case 2 to coinciding lines or intersecting planes, and case 3 to parallel lines or non-intersecting planes.
The document discusses solving systems of 3 linear equations with 3 unknowns. It provides examples of using the elimination method, which involves rewriting the system as two smaller systems, eliminating the same variable from each, solving the resulting system of 2 equations for the remaining 2 variables, then substituting back into one of the original equations to find the third variable. The solution is written as an ordered triple (x, y, z). It demonstrates this process on examples and encourages practicing this method.
The document discusses using matrices to represent systems of linear equations. It introduces the concept of an augmented matrix, which writes the coefficients of the variables and constants of a linear system as a matrix. The document also covers row operations that can be performed on matrices, such as adding a multiple of one row to another. It defines what makes a matrix be in row-echelon form and provides an example. Finally, it works through using Gaussian elimination with an augmented matrix to solve a sample system of three linear equations.
This document describes Picard's method for solving simultaneous first order differential equations numerically. It presents the iterative formula used in Picard's method and applies it to solve four example problems of simultaneous differential equations. The problems are solved over multiple iterations to obtain successive approximations of the solutions at increasing values of x, with the approximations being carried to three or four decimal places.
The document discusses the elimination method for solving systems of equations. It provides examples of using addition or multiplication to eliminate a variable and obtain a solution. Key steps include adding or multiplying the equations appropriately, substituting values back to solve for the remaining variable, and obtaining the solution point (x,y).
3 2 solving systems of equations (elimination method)Hazel Joy Chong
The document describes the elimination method for solving systems of equations. The key steps are:
1) Write both equations in standard form Ax + By = C
2) Determine which variable to eliminate using addition or subtraction
3) Solve the resulting equation for one variable
4) Substitute back into the original equation to solve for the other variable
5) Check that the solution satisfies both original equations
It provides examples showing how to set up and solve systems of equations using elimination, including word problems about supplementary angles and finding two numbers based on their sum and difference.
The document discusses systems of non-linear equations and their properties. It covers different types of non-linear equations like absolute value, quadratic, and their graph shapes. It provides tips for graphing systems of non-linear equations on a calculator, such as making sure the view captures all intersections and using trace to locate the intersections when there are multiple. Examples of specific non-linear equation systems are also given.
Dirty quant-shortcut-workshop-handout-inequalities-functions-graphs-coordinat...Nish Kala Devi
The document contains a collection of quantitative reasoning questions from various topics such as sets, averages, exponents, inequalities, functions, and maximum-minimum problems. The questions range in difficulty from easy to moderate. Solutions or explanations are provided for some questions to illustrate the thought processes. The overall document serves as a practice resource for the Quantitative Ability section of certain exams.
The document discusses solving simultaneous equations. It provides examples of simultaneous equations involving two variables (x and y) and two equations, including one linear and one non-linear equation. Methods for solving the simultaneous equations include expressing one variable in terms of the other, substituting one equation into the other, and solving for the variables. Solutions may have multiple answer pairs for x and y.
This document discusses systems of linear and quadratic equations. It begins by introducing systems of two linear equations in two variables and methods for solving them, like substitution and elimination. It then covers systems of linear equations in three variables, whose solution sets are intersections of planes. An example demonstrates the substitution method for a 3-variable system. Later sections discuss systems involving quadratic equations, providing an example that solves a linear-quadratic system by substituting one variable in terms of the other. Exercises provide additional examples of solving various systems of equations.
Substitution Method of Systems of Linear EquationsSonarin Cruz
This document provides examples of solving systems of linear equations by substitution. The method involves choosing one equation to isolate a variable, substituting that expression into the other equation, then solving the resulting equation for the remaining variable and back-substituting to find the solution set. The examples demonstrate these steps clearly, showing the process of identifying which equation to transform, performing the substitutions, solving for variables, and checking the solutions.
Solving Systems of Equations using Substitution
Step 1) Solve one equation for one variable.
Step 2) Substitute the expression from Step 1 into the other equation.
Step 3) Solve the resulting equation to find the value of the variable. Step 4) Plug this value back into either original equation to find the value of the other variable. Step 5) Check that the solution satisfies both original equations.
The document discusses numerical methods for solving ordinary differential equations (ODEs), including Taylor's series method and Picard's method. It provides examples of applying Taylor's series method to approximate solutions of first order ODEs at different values of x to 4-5 decimal places of accuracy. The examples given include solving ODEs with initial conditions and computing solutions at multiple x values by taking terms from the Taylor series expansion.
Elimination of Systems of Linear EquationSonarin Cruz
The document discusses solving systems of linear equations by elimination. It involves eliminating one variable at a time through addition or subtraction of equations. This leaves an equation with one variable that can be solved for its value, which is then substituted back into the original equations to solve for the other variable. Two examples are provided showing the full process of setting up equations, eliminating variables, solving for values, and checking solutions.
Graphical Solution of Systems of Linear EquationsSonarin Cruz
This document demonstrates solving systems of linear equations graphically by:
1) Writing each equation in the system as an equation for y in terms of x or vice versa.
2) Plotting the points obtained from each equation on a coordinate plane.
3) Finding the point of intersection, which represents the solution to the original system of equations.
4) Verifying that the point satisfies both original equations.
The document discusses methods for solving simultaneous linear equations, including elimination and substitution.
It provides examples of using elimination by adding or subtracting equations to remove a variable, and substitution by making one variable the subject of an equation and substituting it into the other equation. Fractions are converted to simple linear equations by finding a common denominator. The document also covers solving simultaneous equations when one equation is quadratic using substitution after making one variable the subject of the linear equation.
This document provides instruction on solving systems of linear equations by graphing. It begins with examples of identifying whether an ordered pair is a solution to a given system by substituting the values into each equation. Next, it shows how to solve systems by graphing the lines and finding their point of intersection. An example problem is then presented where two girls are reading the same book at different rates, requiring setting up and solving a system to determine when they will have read the same number of pages. The document concludes with a lesson quiz to assess understanding.
The document provides information about solving systems of linear equations through three main methods: graphing, elimination by addition, and elimination by multiplication. It includes examples of using each method to solve systems with steps shown for substitution and verification of solutions. Practice problems are presented for students to determine the number of solutions from graphs of systems and to solve systems using the elimination methods.
This learner's module discusses and help the students about the topic Systems of Linear Inequalities. It includes definition, examples, applications of Systems of Linear Inequalities.
1) The document describes different geometric figures based on systems of equations in one, two, and three dimensions.
2) It provides examples of solving systems of equations in two and three variables, eliminating variables to solve the systems.
3) The solutions provided are the point (-2, 6, -3) for a system in three variables, and that some systems have infinite solutions or no solution.
The document discusses the elimination method for solving systems of equations. It explains that the elimination method involves choosing a variable to eliminate, adding or subtracting the equations to cancel out the variable, solving the resulting equation for the remaining variable, and then back-substituting to solve for the other variable. Examples are provided demonstrating how to use both addition and multiplication when eliminating variables to solve systems of two equations.
The document discusses solving systems of linear equations with two or three variables. There are three possible cases for the solution: 1) a unique solution, 2) infinitely many solutions (a dependent system), or 3) no solution. The document demonstrates solving systems using substitution and elimination methods, and provides examples of each case. Graphically, case 1 corresponds to intersecting lines or planes, case 2 to coinciding lines or intersecting planes, and case 3 to parallel lines or non-intersecting planes.
The document discusses solving systems of 3 linear equations with 3 unknowns. It provides examples of using the elimination method, which involves rewriting the system as two smaller systems, eliminating the same variable from each, solving the resulting system of 2 equations for the remaining 2 variables, then substituting back into one of the original equations to find the third variable. The solution is written as an ordered triple (x, y, z). It demonstrates this process on examples and encourages practicing this method.
The document discusses using matrices to represent systems of linear equations. It introduces the concept of an augmented matrix, which writes the coefficients of the variables and constants of a linear system as a matrix. The document also covers row operations that can be performed on matrices, such as adding a multiple of one row to another. It defines what makes a matrix be in row-echelon form and provides an example. Finally, it works through using Gaussian elimination with an augmented matrix to solve a sample system of three linear equations.
This document describes Picard's method for solving simultaneous first order differential equations numerically. It presents the iterative formula used in Picard's method and applies it to solve four example problems of simultaneous differential equations. The problems are solved over multiple iterations to obtain successive approximations of the solutions at increasing values of x, with the approximations being carried to three or four decimal places.
The document discusses the elimination method for solving systems of equations. It provides examples of using addition or multiplication to eliminate a variable and obtain a solution. Key steps include adding or multiplying the equations appropriately, substituting values back to solve for the remaining variable, and obtaining the solution point (x,y).
3 2 solving systems of equations (elimination method)Hazel Joy Chong
The document describes the elimination method for solving systems of equations. The key steps are:
1) Write both equations in standard form Ax + By = C
2) Determine which variable to eliminate using addition or subtraction
3) Solve the resulting equation for one variable
4) Substitute back into the original equation to solve for the other variable
5) Check that the solution satisfies both original equations
It provides examples showing how to set up and solve systems of equations using elimination, including word problems about supplementary angles and finding two numbers based on their sum and difference.
The document discusses systems of non-linear equations and their properties. It covers different types of non-linear equations like absolute value, quadratic, and their graph shapes. It provides tips for graphing systems of non-linear equations on a calculator, such as making sure the view captures all intersections and using trace to locate the intersections when there are multiple. Examples of specific non-linear equation systems are also given.
Dirty quant-shortcut-workshop-handout-inequalities-functions-graphs-coordinat...Nish Kala Devi
The document contains a collection of quantitative reasoning questions from various topics such as sets, averages, exponents, inequalities, functions, and maximum-minimum problems. The questions range in difficulty from easy to moderate. Solutions or explanations are provided for some questions to illustrate the thought processes. The overall document serves as a practice resource for the Quantitative Ability section of certain exams.
The document discusses solving simultaneous equations. It provides examples of simultaneous equations involving two variables (x and y) and two equations, including one linear and one non-linear equation. Methods for solving the simultaneous equations include expressing one variable in terms of the other, substituting one equation into the other, and solving for the variables. Solutions may have multiple answer pairs for x and y.
This document discusses systems of linear and quadratic equations. It begins by introducing systems of two linear equations in two variables and methods for solving them, like substitution and elimination. It then covers systems of linear equations in three variables, whose solution sets are intersections of planes. An example demonstrates the substitution method for a 3-variable system. Later sections discuss systems involving quadratic equations, providing an example that solves a linear-quadratic system by substituting one variable in terms of the other. Exercises provide additional examples of solving various systems of equations.
Substitution Method of Systems of Linear EquationsSonarin Cruz
This document provides examples of solving systems of linear equations by substitution. The method involves choosing one equation to isolate a variable, substituting that expression into the other equation, then solving the resulting equation for the remaining variable and back-substituting to find the solution set. The examples demonstrate these steps clearly, showing the process of identifying which equation to transform, performing the substitutions, solving for variables, and checking the solutions.
Solving Systems of Equations using Substitution
Step 1) Solve one equation for one variable.
Step 2) Substitute the expression from Step 1 into the other equation.
Step 3) Solve the resulting equation to find the value of the variable. Step 4) Plug this value back into either original equation to find the value of the other variable. Step 5) Check that the solution satisfies both original equations.
The document discusses numerical methods for solving ordinary differential equations (ODEs), including Taylor's series method and Picard's method. It provides examples of applying Taylor's series method to approximate solutions of first order ODEs at different values of x to 4-5 decimal places of accuracy. The examples given include solving ODEs with initial conditions and computing solutions at multiple x values by taking terms from the Taylor series expansion.
Elimination of Systems of Linear EquationSonarin Cruz
The document discusses solving systems of linear equations by elimination. It involves eliminating one variable at a time through addition or subtraction of equations. This leaves an equation with one variable that can be solved for its value, which is then substituted back into the original equations to solve for the other variable. Two examples are provided showing the full process of setting up equations, eliminating variables, solving for values, and checking solutions.
Graphical Solution of Systems of Linear EquationsSonarin Cruz
This document demonstrates solving systems of linear equations graphically by:
1) Writing each equation in the system as an equation for y in terms of x or vice versa.
2) Plotting the points obtained from each equation on a coordinate plane.
3) Finding the point of intersection, which represents the solution to the original system of equations.
4) Verifying that the point satisfies both original equations.
The document discusses methods for solving simultaneous linear equations, including elimination and substitution.
It provides examples of using elimination by adding or subtracting equations to remove a variable, and substitution by making one variable the subject of an equation and substituting it into the other equation. Fractions are converted to simple linear equations by finding a common denominator. The document also covers solving simultaneous equations when one equation is quadratic using substitution after making one variable the subject of the linear equation.
This document provides instruction on solving systems of linear equations by graphing. It begins with examples of identifying whether an ordered pair is a solution to a given system by substituting the values into each equation. Next, it shows how to solve systems by graphing the lines and finding their point of intersection. An example problem is then presented where two girls are reading the same book at different rates, requiring setting up and solving a system to determine when they will have read the same number of pages. The document concludes with a lesson quiz to assess understanding.
The document provides information about solving systems of linear equations through three main methods: graphing, elimination by addition, and elimination by multiplication. It includes examples of using each method to solve systems with steps shown for substitution and verification of solutions. Practice problems are presented for students to determine the number of solutions from graphs of systems and to solve systems using the elimination methods.
This learner's module discusses and help the students about the topic Systems of Linear Inequalities. It includes definition, examples, applications of Systems of Linear Inequalities.
1) The document describes different geometric figures based on systems of equations in one, two, and three dimensions.
2) It provides examples of solving systems of equations in two and three variables, eliminating variables to solve the systems.
3) The solutions provided are the point (-2, 6, -3) for a system in three variables, and that some systems have infinite solutions or no solution.
The document discusses solving systems of nonlinear equations in two variables. It provides examples of nonlinear systems that contain equations that are not in the form Ax + By = C, such as x^2 = 2y + 10. Methods for solving nonlinear systems include substitution and addition. The substitution method involves solving one equation for one variable and substituting into the other equation. The addition method involves rewriting the equations and adding them to eliminate variables. Examples demonstrate both methods and finding the solution set that satisfies both equations.
The document discusses solving systems of linear equations using substitution and elimination methods. It provides 4 examples of solving systems of 2 equations with 2 unknowns. The substitution method involves solving one equation for one variable in terms of the other and substituting it into the second equation. The elimination method involves multiplying equations by constants and adding/subtracting them to eliminate one variable. Both methods are shown to yield the solution point that satisfies both equations.
Elimination Method Mathematics 8 Linear Equation In 2 variables .pptxgenopaolog
The document provides steps for solving systems of linear equations using the elimination method. It begins with an example of a system and shows the steps of choosing a variable to eliminate, multiplying an equation by a constant to create additive inverses, adding the equations to eliminate the variable, solving the resulting equation for the remaining variable, substituting back into the original equation to find the other variable, and checking the solution. It then provides additional examples demonstrating this process.
The document provides examples of using substitution and elimination methods to solve systems of equations. It shows setting one equation equal to the other and solving for one variable in terms of the other to use substitution. It also demonstrates setting corresponding terms of equations equal and combining to solve for one variable and back substitute to find the other variable when using elimination.
1. Which of the following is the correct matrix representation .docxjackiewalcutt
1.
Which of the following is the correct matrix representation of the October Inventory of small and large t-shirts and pants?
Inventory for August
Inventory for September
Inventory for October
Small
Large
Small
Large
Small
Large
T-Shirts
2
3
4
6
7
8
Pants
1
4
3
5
5
6
Answer
1.
If find -2A.
Answer
1.
If and find A - B.
Answer
1.
If find 2A.
Answer
1.
Matrix A has dimensions 2 x 3. Matrix B has dimensions 3 x 6. These two matrices can be multiplied to find the product AB.
Answer True False
1.
Evaluate
Answer
Does not exist.
1.
Evaluate
Answer
Does not exist
1.
Evaluate
Answer
Does not exist.
1.
Find the determinant of
Answer
14
-14
1
-1
1.
Find the determinant of
Answer
-48
-56
56
48
1.
What is the determinant of the following matrix?
Answer
-10
-14
-20
-25
1.
What is the determinant of the following matrix? Does the matrix have an inverse?
Answer
5; no
5; yes
1; no
1; yes
1.
Is the following system consistent or inconsistent?
8x + y + 4 = 0
y = -8x - 4
Answer
consistent
inconsistent
1.
Is the following system consistent or inconsistent?
7x + 6 = -2y
-14x -4y + 2 = 0
Answer
consistent
inconsistent
1.
Is the following system consistent or inconsistent?
-2x - 2y = 6
10x + 10y = -30
Answer
consistent
inconsistent
1.
Is the following system consistent or inconsistent?
2y = x - 7
-2x - 6y = -14
Answer
consistent
inconsistent
1.
Is the following system consistent or inconsistent?
y = 2x + 5
-2x + y = -2
Answer
consistent
inconsistent
If a system has exactly one solution it is called _______________.
Answer
consistent
inconsistent
independent
dependent
1.
Does the following system of equations have a solution?
Answer
Yes
No
1.
What is the approximate solution of the following system of equations?
Answer
(2, -7)
(-7, 2)
(7, 2)
(-7, -2)
1.
Solve the following system of equations by using the substitution method.
3y – 2x = 11
y + 2x = 9
Answer
(2, 5)
(-2, -5)
(4, 5)
Inconsistent
1.
Solve the following system of equations by using the substitution method.
y = -3x + 5
5x – 4y = -3
Answer
(-1, -2)
(2, 1)
(3, 4)
(1, 2)
1.
Solve the following system of equations by using the elimination method.
x – y = 11
2x + y = 19
Answer
(1, 10)
(-1, -1)
(12, 2)
(10, -1)
1.
Solve the following system of equations by using the elimination method.
-4x – 2y = -12
4x + 8y = -24
Answer
(5, 3)
(-6, -6)
(3, 1)
(6, -6)
1.
Solve the following system of equations using matrices.
3x – 2y = 31
3x + 2y = -1
Answer
(5, -8)
(3, 5)
(-3, 9)
(2, 8)
1.
Solve the following system of equations using matrices.
4x + 5y = -7
3x – 6y = 24
Answer
(1, 4)
(2, -3)
(5, 6)
(3, 4)
1.
The sum of two numbers is 7. Four times the first number is one more than 5 times the second. Find the two numbe ...
The document covers systems of linear equations, including how to solve them using substitution and elimination methods. It provides examples of solving systems of equations with one solution, no solution, and infinitely many solutions. Quadratic equations are also discussed, including how to solve them by factoring, using the quadratic formula, and identifying the nature of solutions based on the discriminant.
This document discusses solving systems of three linear equations in three variables using the elimination method. It provides an example of using elimination to solve the system of equations x - 3y + 6z = 21, 3x + 2y - 5z = -30, and 2x - 5y + 2z = -6. The steps are: 1) rewrite the system as two smaller systems with two equations each, 2) eliminate the same variable from each smaller system, 3) solve the resulting system of two equations for the two remaining variables, 4) substitute back into one of the original equations to find the third variable, and 5) check that the solution satisfies all three original equations. The solution to the example system is (-
3.5 solving systems of equations in three variablesmorrobea
This document discusses solving systems of three linear equations in three variables using the elimination method. It provides examples of setting up systems of equations, eliminating a variable to create a system of two equations with two variables, solving the reduced system, back-substituting to find the third variable, and checking that the solution satisfies all three original equations. The solution is written as an ordered triple (x, y, z). Graphing is not recommended due to difficulty accurately graphing three-dimensional planes. Examples are worked through to demonstrate the full elimination method.
This document discusses solving systems of three linear equations in three variables using the elimination method. It provides an example of using elimination to solve the system of equations x - 3y + 6z = 21, 3x + 2y - 5z = -30, and 2x - 5y + 2z = -6. The steps are: 1) rewrite the system as two smaller systems with two equations each, 2) eliminate the same variable from each smaller system, 3) solve the resulting system of two equations for the two remaining variables, 4) substitute back into one of the original equations to find the third variable, and 5) check that the solution satisfies all three original equations. The solution to the example system is (-
The document provides examples for solving systems of equations using substitution. It explains the substitution method in 3 steps: 1) solve one equation for one variable, 2) substitute the expression into the other equation, and 3) solve for the variable and substitute back into the original equation. An example solves the system 4x + 3y = 27 and 2x - y = 1 by first solving the second equation for y, then substituting y = 2x - 1 into the first equation and solving for x. The solution is verified by substituting x = 3 and y = 5 back into the original equations. Another example finds the two-digit number whose digits sum to 9 and is 12 times the tens digit.
The document explains how to use coordinate planes and axes to plot points and graphs of linear equations. It provides examples of plotting individual lines defined by equations like y=x, y=2x, and y=x+3. It also shows how to plot multiple graphs on the same set of axes. Several practice problems are included asking the reader to plot systems of linear equations on a single coordinate plane.
The document discusses using coordinate planes and axes to plot points and graphs. It explains that every point on a coordinate plane has an x-coordinate and y-coordinate. Various examples are given of plotting lines defined by equations on the same set of axes, such as lines where x + y = a constant or y = mx + b. A series of questions are also provided asking to plot multiple graphs defined by equations on the same set of axes.
1) The document discusses solving quadratic equations by factoring, including using the zero factor property.
2) It provides examples of solving quadratic equations by factoring them into two binomial factors and setting each factor equal to zero.
3) The document also shows how to solve word problems by setting up and solving quadratic equations derived from the problem information.
This document contains solutions to exercises from an intermediate algebra textbook chapter on equations and inequalities in two variables and functions. It provides worked out solutions showing the step-by-step process for solving various types of problems involving linear equations, finding slopes of lines, parallel and perpendicular lines, and word problems involving rates of change. The document demonstrates how to graph linear equations by finding intercepts and plotting points.
The document provides examples of solving simultaneous equations graphically. It shows:
1) Solving the simultaneous equations x + y = 3 and x - y = 1 by finding the intersection points of the lines on a graph, getting the solutions (2,1), (0,3), and (6,-3).
2) Solving the simultaneous equations 2x + y = 6 and 3x + 4y = 4 by substituting one equation into the other and finding the x and y values, getting the solutions (2,2), (1,4), and (4,-2).
7.2 Systems of Linear Equations - Three Variablessmiller5
This document discusses solving systems of three linear equations with three variables. It introduces Gaussian elimination as a method for solving such systems. Gaussian elimination involves eliminating variables one at a time to solve for the remaining variables in reverse order. The document provides an example of using Gaussian elimination to solve a 3x3 system. It also discusses the different outcomes possible for 3x3 systems, such as a single solution, infinitely many solutions, or no solution if the system is inconsistent or dependent.
This document summarizes key exercises from Chapter 1 of a textbook on systems of linear equations and matrices. It provides examples of determining whether equations are linear or nonlinear, constructing augmented matrices to represent systems of linear equations, row reducing matrices to solve systems, and checking solutions. Matrix row echelon form and reduced row echelon form are discussed. Solutions are provided for sample systems of linear equations.
The document defines and provides examples of angle relationships including adjacent angles, linear pairs, vertical angles, complementary angles, and supplementary angles. It defines each term and provides examples of identifying angle pairs that satisfy each relationship. It also includes examples of using properties of these angle relationships to solve problems, such as finding missing angle measures.
The document defines various terms related to angle measure including ray, angle, vertex, acute angle, obtuse angle, and angle bisector. It then provides examples measuring angles in a figure and solving an equation involving angle measures.
This document discusses finding points and midpoints on line segments. It defines midpoint as the point halfway between two endpoints and provides the formula to calculate it. Several examples are given to demonstrate how to find the midpoint of a segment, locate a point at a fractional distance from one endpoint, and find a point where the ratio of distances from the endpoints is a given ratio. The key concepts covered are calculating midpoints using averages of x- and y-coordinates, and setting up and solving equations to locate interior points using fractional or ratio distances along a segment.
This document defines key vocabulary terms related to line segments and distance. It defines a line segment as a portion of a line distinguished by endpoints, and defines betweenness of points and the term "between." It also defines congruent segments, constructions, distance, and irrational numbers. Several examples are provided to demonstrate calculating distances between points on a number line, using a ruler to measure segments, and applying the Pythagorean theorem.
This document defines key vocabulary terms related to line segments and distance, including line segment, betweenness of points, congruent segments, and distance formula. It provides examples of calculating distances between points on number lines and using the Pythagorean theorem to find distances between points graphed on a coordinate plane. Examples include measuring line segments with a ruler, finding distances by adding or subtracting measures, and applying the distance formula and Pythagorean theorem to solve for unknown distances.
This document introduces basic geometry concepts such as points, lines, planes, and their intersections. It defines a point as having no size or shape, a line as an infinite set of collinear points, and a plane as a flat surface extending indefinitely. Examples demonstrate identifying geometric shapes from real-world objects and graphing points and lines on a coordinate plane. The summary defines key terms and provides examples of geometric concepts and relationships.
The document discusses inverse functions and relations. It defines an inverse relation as one where the coordinates of a relation are switched, and an inverse function as one where the domain and range of a function are switched. It provides examples of finding the inverse of specific relations and functions by switching their coordinates or domain and range. It also discusses how to determine if two functions are inverses using their graphs and the horizontal line test.
The document discusses composition of functions. It defines composition of functions as using the output of one function as the input of another. It provides an example of composing two functions f and g, showing the steps of evaluating f(g(x)) and g(f(x)) at different values of x. Another example is given with two functions defined by sets of ordered pairs, finding the compositions f∘g and g∘f by evaluating them at different inputs and stating their domains and ranges.
The document discusses operations that can be performed on functions, including addition, subtraction, multiplication, and division. Definitions of each operation are provided, along with examples of applying the operations to specific functions. Addition of functions involves adding the outputs of each function, subtraction involves subtracting the outputs, multiplication involves multiplying the outputs, and division involves dividing the outputs given the denominator function is not equal to 0. Several examples are worked through applying the different operations to functions like f(x)=2x and g(x)=-x+5. The examples also demonstrate evaluating composite functions and restricting domains as needed.
The document discusses determining the number and type of roots of polynomial equations. It states that every polynomial with degree greater than zero has at least one root in the set of complex numbers according to the Fundamental Theorem of Algebra. Descartes' Rule of Signs is introduced, which relates the number of changes in sign of a polynomial's terms to its possible positive and negative real roots. An example problem is worked through applying these concepts to determine the possible number of positive, negative, and imaginary roots.
This document discusses synthetic division and the remainder and factor theorems. It provides examples of using synthetic division to evaluate functions, determine the number of terms in a sequence, and factor polynomials. The key steps of synthetic division are shown, along with checking the remainder and determining common factors. Three examples are worked through to demonstrate these concepts.
This document discusses solving polynomial equations by factoring polynomials. It begins with essential questions and vocabulary about factoring polynomials and solving polynomial equations by factoring. It then provides the number of terms in a polynomial and the corresponding factoring technique that can be used. Examples of factoring various polynomials are also provided. The document aims to teach students how to factor polynomials and solve polynomial equations by factoring.
The document defines key terms and theorems related to trapezoids and kites. It provides definitions for trapezoid, bases, legs of a trapezoid, base angles, isosceles trapezoid, midsegment of a trapezoid, and kite. It also lists theorems about properties of isosceles trapezoids and kites. Two examples problems are included, one finding measures of an isosceles trapezoid and another showing a quadrilateral is a trapezoid.
The document discusses rhombi and squares. It defines a rhombus as a parallelogram with four congruent sides and gives its properties. A square is defined as a parallelogram with four right angles and four congruent sides. The document provides theorems for identifying rhombi and squares. It then gives examples of using the properties and theorems to determine if a shape is a rhombus, rectangle, or square.
The document discusses properties of rectangles. A rectangle is defined as a parallelogram with four right angles. The key properties are that opposite sides are parallel and congruent, opposite angles are congruent, and consecutive angles are supplementary. The diagonals of a rectangle bisect each other and are congruent. Theorems are presented regarding the diagonals of rectangles. Examples apply the properties of rectangles to find missing side lengths, angles, and diagonals. One example uses the distance formula and slope to determine if a quadrilateral is a rectangle.
The document discusses properties of parallelograms and provides examples of determining if a quadrilateral is a parallelogram. It defines four theorems for identifying parallelograms based on opposite sides, opposite angles, bisecting diagonals, and parallel/congruent sides. Examples solve systems of equations to find values of variables such that the quadrilaterals satisfy parallelogram properties. One example uses slopes of side segments to show a quadrilateral is a parallelogram due to parallel opposite sides.
The document discusses properties of parallelograms. It defines a parallelogram as a quadrilateral with two pairs of parallel sides. It then lists several properties of parallelograms: opposite sides are congruent, opposite angles are congruent, consecutive angles are supplementary, and if one angle is a right angle all angles are right angles. It also discusses properties of diagonals in parallelograms, including that diagonals bisect each other and divide the parallelogram into two congruent triangles. Several examples demonstrate using these properties to solve problems about parallelograms.
The document summarizes key concepts about polygons, including:
- The sum of the interior angles of a polygon with n sides is (n-2)180 degrees.
- The sum of the exterior angles of a polygon is 360 degrees.
- Examples are provided to demonstrate calculating sums of interior/exterior angles and finding missing angle measures using angle sums.
- Regular polygons are defined by their number of sides.
The document discusses analyzing graphs of polynomial functions. It provides examples of locating real zeros of polynomials using the location principle and estimating relative maxima and minima. Example 1 analyzes the polynomial f(x) = x^4 - x^3 - 4x^2 + 1 and locates its real zeros between consecutive integer values. Example 2 graphs the polynomial f(x) = x^3 - 3x^2 + 5 and estimates the x-coordinates of relative maxima and minima.
This document discusses polynomial functions. It defines key terms like polynomial in one variable, leading coefficient, and polynomial function. It provides examples of power functions of varying degrees like quadratic, cubic, quartic and quintic functions. The document also includes examples of evaluating polynomial functions, finding degrees and leading coefficients, graphing polynomial functions from tables of values, and describing properties of graphs.
Beyond Degrees - Empowering the Workforce in the Context of Skills-First.pptxEduSkills OECD
Iván Bornacelly, Policy Analyst at the OECD Centre for Skills, OECD, presents at the webinar 'Tackling job market gaps with a skills-first approach' on 12 June 2024
Leveraging Generative AI to Drive Nonprofit InnovationTechSoup
In this webinar, participants learned how to utilize Generative AI to streamline operations and elevate member engagement. Amazon Web Service experts provided a customer specific use cases and dived into low/no-code tools that are quick and easy to deploy through Amazon Web Service (AWS.)
A Visual Guide to 1 Samuel | A Tale of Two HeartsSteve Thomason
These slides walk through the story of 1 Samuel. Samuel is the last judge of Israel. The people reject God and want a king. Saul is anointed as the first king, but he is not a good king. David, the shepherd boy is anointed and Saul is envious of him. David shows honor while Saul continues to self destruct.
This presentation was provided by Racquel Jemison, Ph.D., Christina MacLaughlin, Ph.D., and Paulomi Majumder. Ph.D., all of the American Chemical Society, for the second session of NISO's 2024 Training Series "DEIA in the Scholarly Landscape." Session Two: 'Expanding Pathways to Publishing Careers,' was held June 13, 2024.
This presentation was provided by Rebecca Benner, Ph.D., of the American Society of Anesthesiologists, for the second session of NISO's 2024 Training Series "DEIA in the Scholarly Landscape." Session Two: 'Expanding Pathways to Publishing Careers,' was held June 13, 2024.
Level 3 NCEA - NZ: A Nation In the Making 1872 - 1900 SML.pptHenry Hollis
The History of NZ 1870-1900.
Making of a Nation.
From the NZ Wars to Liberals,
Richard Seddon, George Grey,
Social Laboratory, New Zealand,
Confiscations, Kotahitanga, Kingitanga, Parliament, Suffrage, Repudiation, Economic Change, Agriculture, Gold Mining, Timber, Flax, Sheep, Dairying,
How to Setup Warehouse & Location in Odoo 17 InventoryCeline George
In this slide, we'll explore how to set up warehouses and locations in Odoo 17 Inventory. This will help us manage our stock effectively, track inventory levels, and streamline warehouse operations.
2. Essential Questions
• How do you solve systems of linear equations
graphically?
• How do you solve systems of linear equations
algebraically?
3. Vocabulary
1. System of Equations:
2. Consistent:
3. Inconsistent:
4. Independent:
5. Dependent:
4. Vocabulary
1. System of Equations:
2. Consistent:
3. Inconsistent:
4. Independent:
5. Dependent:
Two or more equations with
the same variables
5. Vocabulary
1. System of Equations:
2. Consistent:
3. Inconsistent:
4. Independent:
5. Dependent:
Two or more equations with
the same variables
A system with at least one solution
6. Vocabulary
1. System of Equations:
2. Consistent:
3. Inconsistent:
4. Independent:
5. Dependent:
Two or more equations with
the same variables
A system with at least one solution
A system with no solutions
7. Vocabulary
1. System of Equations:
2. Consistent:
3. Inconsistent:
4. Independent:
5. Dependent:
Two or more equations with
the same variables
A system with at least one solution
A system with no solutions
A system with exactly one solution
8. Vocabulary
1. System of Equations:
2. Consistent:
3. Inconsistent:
4. Independent:
5. Dependent:
Two or more equations with
the same variables
A system with at least one solution
A system with no solutions
A system with exactly one solution
A system with infinite solutions
9. Example 1
Solve the system of equations by graphing.
x + y = 3
−2x + y = −6
⎧
⎨
⎩
10. Example 1
Solve the system of equations by graphing.
x + y = 3
−2x + y = −6
⎧
⎨
⎩
x + y = 3
11. Example 1
Solve the system of equations by graphing.
x + y = 3
−2x + y = −6
⎧
⎨
⎩
x + y = 3
−x −x
12. Example 1
Solve the system of equations by graphing.
x + y = 3
−2x + y = −6
⎧
⎨
⎩
x + y = 3
−x −x
y = −x + 3
13. Example 1
Solve the system of equations by graphing.
x + y = 3
−2x + y = −6
⎧
⎨
⎩
x + y = 3
−x −x
y = −x + 3
m = −1
y − int = (0,3)
14. Example 1
Solve the system of equations by graphing.
x + y = 3
−2x + y = −6
⎧
⎨
⎩
x + y = 3
−x −x
y = −x + 3
m = −1
y − int = (0,3)
−2x + y = −6
15. Example 1
Solve the system of equations by graphing.
x + y = 3
−2x + y = −6
⎧
⎨
⎩
x + y = 3
−x −x
y = −x + 3
m = −1
y − int = (0,3)
−2x + y = −6
+2x +2x
16. Example 1
Solve the system of equations by graphing.
x + y = 3
−2x + y = −6
⎧
⎨
⎩
x + y = 3
−x −x
y = −x + 3
m = −1
y − int = (0,3)
−2x + y = −6
+2x +2x
y = 2x − 6
17. Example 1
Solve the system of equations by graphing.
x + y = 3
−2x + y = −6
⎧
⎨
⎩
x + y = 3
−x −x
y = −x + 3
m = −1
y − int = (0,3)
−2x + y = −6
+2x +2x
y = 2x − 6
m = 2
y − int = (0,−6)
18. Example 1
Solve the system of equations by graphing.
x + y = 3
−2x + y = −6
⎧
⎨
⎩
x + y = 3
−x −x
y = −x + 3
m = −1
y − int = (0,3)
−2x + y = −6
+2x +2x
y = 2x − 6
m = 2
y − int = (0,−6)
x
y
19. Example 1
Solve the system of equations by graphing.
x + y = 3
−2x + y = −6
⎧
⎨
⎩
x + y = 3
−x −x
y = −x + 3
m = −1
y − int = (0,3)
−2x + y = −6
+2x +2x
y = 2x − 6
m = 2
y − int = (0,−6)
x
y
20. Example 1
Solve the system of equations by graphing.
x + y = 3
−2x + y = −6
⎧
⎨
⎩
x + y = 3
−x −x
y = −x + 3
m = −1
y − int = (0,3)
−2x + y = −6
+2x +2x
y = 2x − 6
m = 2
y − int = (0,−6)
x
y
21. Example 1
Solve the system of equations by graphing.
x + y = 3
−2x + y = −6
⎧
⎨
⎩
x + y = 3
−x −x
y = −x + 3
m = −1
y − int = (0,3)
−2x + y = −6
+2x +2x
y = 2x − 6
m = 2
y − int = (0,−6)
x
y
22. Example 1
Solve the system of equations by graphing.
x + y = 3
−2x + y = −6
⎧
⎨
⎩
x + y = 3
−x −x
y = −x + 3
m = −1
y − int = (0,3)
−2x + y = −6
+2x +2x
y = 2x − 6
m = 2
y − int = (0,−6)
x
y
23. Example 1
Solve the system of equations by graphing.
x + y = 3
−2x + y = −6
⎧
⎨
⎩
x + y = 3
−x −x
y = −x + 3
m = −1
y − int = (0,3)
−2x + y = −6
+2x +2x
y = 2x − 6
m = 2
y − int = (0,−6)
x
y
24. Example 1
Solve the system of equations by graphing.
x + y = 3
−2x + y = −6
⎧
⎨
⎩
x + y = 3
−x −x
y = −x + 3
m = −1
y − int = (0,3)
−2x + y = −6
+2x +2x
y = 2x − 6
m = 2
y − int = (0,−6)
x
y
25. Example 1
Solve the system of equations by graphing.
x + y = 3
−2x + y = −6
⎧
⎨
⎩
x + y = 3
−x −x
y = −x + 3
m = −1
y − int = (0,3)
−2x + y = −6
+2x +2x
y = 2x − 6
m = 2
y − int = (0,−6)
x
y
26. Example 1
Solve the system of equations by graphing.
x + y = 3
−2x + y = −6
⎧
⎨
⎩
x + y = 3
−x −x
y = −x + 3
m = −1
y − int = (0,3)
−2x + y = −6
+2x +2x
y = 2x − 6
m = 2
y − int = (0,−6)
x
y
27. Example 1
Solve the system of equations by graphing.
x + y = 3
−2x + y = −6
⎧
⎨
⎩
x + y = 3
−x −x
y = −x + 3
m = −1
y − int = (0,3)
−2x + y = −6
+2x +2x
y = 2x − 6
m = 2
y − int = (0,−6)
x
y
28. Example 1
Solve the system of equations by graphing.
x + y = 3
−2x + y = −6
⎧
⎨
⎩
x + y = 3
−x −x
y = −x + 3
m = −1
y − int = (0,3)
−2x + y = −6
+2x +2x
y = 2x − 6
m = 2
y − int = (0,−6)
x
y
29. Example 1
Solve the system of equations by graphing.
x + y = 3
−2x + y = −6
⎧
⎨
⎩
x + y = 3
−x −x
y = −x + 3
m = −1
y − int = (0,3)
−2x + y = −6
+2x +2x
y = 2x − 6
m = 2
y − int = (0,−6)
x
y
30. Example 1
Solve the system of equations by graphing.
x + y = 3
−2x + y = −6
⎧
⎨
⎩
x + y = 3
−x −x
y = −x + 3
m = −1
y − int = (0,3)
−2x + y = −6
+2x +2x
y = 2x − 6
m = 2
y − int = (0,−6)
x
y
31. Example 1
Solve the system of equations by graphing.
x + y = 3
−2x + y = −6
⎧
⎨
⎩
x + y = 3
−x −x
y = −x + 3
m = −1
y − int = (0,3)
−2x + y = −6
+2x +2x
y = 2x − 6
m = 2
y − int = (0,−6)
x
y
32. Example 1
Solve the system of equations by graphing.
x + y = 3
−2x + y = −6
⎧
⎨
⎩
x + y = 3
−x −x
y = −x + 3
m = −1
y − int = (0,3)
−2x + y = −6
+2x +2x
y = 2x − 6
m = 2
y − int = (0,−6)
x
y
33. Example 1
Solve the system of equations by graphing.
x + y = 3
−2x + y = −6
⎧
⎨
⎩
x + y = 3
−x −x
y = −x + 3
m = −1
y − int = (0,3)
−2x + y = −6
+2x +2x
y = 2x − 6
m = 2
y − int = (0,−6)
x
y
34. Example 1
Solve the system of equations by graphing.
x + y = 3
−2x + y = −6
⎧
⎨
⎩
x + y = 3
−x −x
y = −x + 3
m = −1
y − int = (0,3)
−2x + y = −6
+2x +2x
y = 2x − 6
m = 2
y − int = (0,−6)
x
y
35. Example 1
Solve the system of equations by graphing.
x + y = 3
−2x + y = −6
⎧
⎨
⎩
x + y = 3
−x −x
y = −x + 3
m = −1
y − int = (0,3)
−2x + y = −6
+2x +2x
y = 2x − 6
m = 2
y − int = (0,−6)
x
y
36. Example 1
Solve the system of equations by graphing.
x + y = 3
−2x + y = −6
⎧
⎨
⎩
x + y = 3
−x −x
y = −x + 3
m = −1
y − int = (0,3)
−2x + y = −6
+2x +2x
y = 2x − 6
m = 2
y − int = (0,−6)
x
y
37. Example 1
Solve the system of equations by graphing.
x + y = 3
−2x + y = −6
⎧
⎨
⎩
x + y = 3
−x −x
y = −x + 3
m = −1
y − int = (0,3)
−2x + y = −6
+2x +2x
y = 2x − 6
m = 2
y − int = (0,−6)
x
y
38. Example 1
Solve the system of equations by graphing.
x + y = 3
−2x + y = −6
⎧
⎨
⎩
x + y = 3
−x −x
y = −x + 3
m = −1
y − int = (0,3)
−2x + y = −6
+2x +2x
y = 2x − 6
m = 2
y − int = (0,−6)
x
y
39. Example 1
Solve the system of equations by graphing.
x + y = 3
−2x + y = −6
⎧
⎨
⎩
x + y = 3
−x −x
y = −x + 3
m = −1
y − int = (0,3)
−2x + y = −6
+2x +2x
y = 2x − 6
m = 2
y − int = (0,−6)
x
y
40. Example 1
Solve the system of equations by graphing.
x + y = 3
−2x + y = −6
⎧
⎨
⎩
x + y = 3
−x −x
y = −x + 3
m = −1
y − int = (0,3)
−2x + y = −6
+2x +2x
y = 2x − 6
m = 2
y − int = (0,−6)
x
y
41. Example 1
Solve the system of equations by graphing.
x + y = 3
−2x + y = −6
⎧
⎨
⎩
x + y = 3
−x −x
y = −x + 3
m = −1
y − int = (0,3)
−2x + y = −6
+2x +2x
y = 2x − 6
m = 2
y − int = (0,−6)
x
y
42. Example 1
Solve the system of equations by graphing.
x + y = 3
−2x + y = −6
⎧
⎨
⎩
x + y = 3
−x −x
y = −x + 3
m = −1
y − int = (0,3)
−2x + y = −6
+2x +2x
y = 2x − 6
m = 2
y − int = (0,−6)
x
y
43. Example 1
Solve the system of equations by graphing.
x + y = 3
−2x + y = −6
⎧
⎨
⎩
x + y = 3
−x −x
y = −x + 3
m = −1
y − int = (0,3)
−2x + y = −6
+2x +2x
y = 2x − 6
m = 2
y − int = (0,−6)
x
y
44. Example 1
Solve the system of equations by graphing.
x + y = 3
−2x + y = −6
⎧
⎨
⎩
x + y = 3
−x −x
y = −x + 3
m = −1
y − int = (0,3)
−2x + y = −6
+2x +2x
y = 2x − 6
m = 2
y − int = (0,−6)
x
y
45. Example 1
Solve the system of equations by graphing.
x + y = 3
−2x + y = −6
⎧
⎨
⎩
x + y = 3
−x −x
y = −x + 3
m = −1
y − int = (0,3)
−2x + y = −6
+2x +2x
y = 2x − 6
m = 2
y − int = (0,−6)
x
y
46. Example 1
Solve the system of equations by graphing.
x + y = 3
−2x + y = −6
⎧
⎨
⎩
x + y = 3
−x −x
y = −x + 3
m = −1
y − int = (0,3)
−2x + y = −6
+2x +2x
y = 2x − 6
m = 2
y − int = (0,−6)
x
y
(3,0)
47. Example 1
Solve the system of equations by graphing.
x + y = 3
−2x + y = −6
⎧
⎨
⎩
x + y = 3
−x −x
y = −x + 3
m = −1
y − int = (0,3)
−2x + y = −6
+2x +2x
y = 2x − 6
m = 2
y − int = (0,−6)
x
y
(3,0)
Check:
48. Example 1
Solve the system of equations by graphing.
x + y = 3
−2x + y = −6
⎧
⎨
⎩
x + y = 3
−x −x
y = −x + 3
m = −1
y − int = (0,3)
−2x + y = −6
+2x +2x
y = 2x − 6
m = 2
y − int = (0,−6)
x
y
(3,0)
Check: 3 + 0 = 3
49. Example 1
Solve the system of equations by graphing.
x + y = 3
−2x + y = −6
⎧
⎨
⎩
x + y = 3
−x −x
y = −x + 3
m = −1
y − int = (0,3)
−2x + y = −6
+2x +2x
y = 2x − 6
m = 2
y − int = (0,−6)
x
y
(3,0)
Check: 3 + 0 = 3 −2(3)+ 0 = −6
50. Example 2
Solve the system of equations by substitution.
x − 2y = 0
y = −x + 6
⎧
⎨
⎩
51. Example 2
Solve the system of equations by substitution.
x − 2y = 0
y = −x + 6
⎧
⎨
⎩
x − 2(−x + 6)= 0
52. Example 2
Solve the system of equations by substitution.
x − 2y = 0
y = −x + 6
⎧
⎨
⎩
x − 2(−x + 6)= 0
x + 2x −12 = 0
53. Example 2
Solve the system of equations by substitution.
x − 2y = 0
y = −x + 6
⎧
⎨
⎩
x − 2(−x + 6)= 0
x + 2x −12 = 0
3x −12 = 0
54. Example 2
Solve the system of equations by substitution.
x − 2y = 0
y = −x + 6
⎧
⎨
⎩
x − 2(−x + 6)= 0
x + 2x −12 = 0
3x −12 = 0
+12+12
55. Example 2
Solve the system of equations by substitution.
x − 2y = 0
y = −x + 6
⎧
⎨
⎩
x − 2(−x + 6)= 0
x + 2x −12 = 0
3x −12 = 0
+12+12
3x = 12
56. Example 2
Solve the system of equations by substitution.
x − 2y = 0
y = −x + 6
⎧
⎨
⎩
x − 2(−x + 6)= 0
x + 2x −12 = 0
3x −12 = 0
+12+12
3x = 12
3 3
57. Example 2
Solve the system of equations by substitution.
x − 2y = 0
y = −x + 6
⎧
⎨
⎩
x − 2(−x + 6)= 0
x + 2x −12 = 0
3x −12 = 0
+12+12
3x = 12
3 3
x = 4
58. Example 2
Solve the system of equations by substitution.
x − 2y = 0
y = −x + 6
⎧
⎨
⎩
x − 2(−x + 6)= 0
x + 2x −12 = 0
3x −12 = 0
+12+12
3x = 12
3 3
x = 4
y = −4 + 6
59. Example 2
Solve the system of equations by substitution.
x − 2y = 0
y = −x + 6
⎧
⎨
⎩
x − 2(−x + 6)= 0
x + 2x −12 = 0
3x −12 = 0
+12+12
3x = 12
3 3
x = 4
y = −4 + 6
y = 2
60. Example 2
Solve the system of equations by substitution.
x − 2y = 0
y = −x + 6
⎧
⎨
⎩
x − 2(−x + 6)= 0
x + 2x −12 = 0
3x −12 = 0
+12+12
3x = 12
3 3
x = 4
y = −4 + 6
y = 2 (4,2)
61. Example 2
Solve the system of equations by substitution.
x − 2y = 0
y = −x + 6
⎧
⎨
⎩
x − 2(−x + 6)= 0
Check:
x + 2x −12 = 0
3x −12 = 0
+12+12
3x = 12
3 3
x = 4
y = −4 + 6
y = 2 (4,2)
62. Example 2
Solve the system of equations by substitution.
x − 2y = 0
y = −x + 6
⎧
⎨
⎩
x − 2(−x + 6)= 0
Check:
4 − 2(2) = 0x + 2x −12 = 0
3x −12 = 0
+12+12
3x = 12
3 3
x = 4
y = −4 + 6
y = 2 (4,2)
63. Example 2
Solve the system of equations by substitution.
x − 2y = 0
y = −x + 6
⎧
⎨
⎩
x − 2(−x + 6)= 0
Check:
4 − 2(2) = 0 2 = −4 + 6x + 2x −12 = 0
3x −12 = 0
+12+12
3x = 12
3 3
x = 4
y = −4 + 6
y = 2 (4,2)
64. Example 3
Solve the system of equations by elimination.
x + 2y = 10
x + y = 6
⎧
⎨
⎩
65. Example 3
Solve the system of equations by elimination.
x + 2y = 10
x + y = 6
⎧
⎨
⎩
x + 2y = 10
(−1)(x + y = 6)
66. Example 3
Solve the system of equations by elimination.
x + 2y = 10
x + y = 6
⎧
⎨
⎩
x + 2y = 10
(−1)(x + y = 6)
x + 2y = 10
−x − y = −6
67. Example 3
Solve the system of equations by elimination.
x + 2y = 10
x + y = 6
⎧
⎨
⎩
x + 2y = 10
(−1)(x + y = 6)
x + 2y = 10
−x − y = −6
y = 4
68. Example 3
Solve the system of equations by elimination.
x + 2y = 10
x + y = 6
⎧
⎨
⎩
x + 4 = 6
x + 2y = 10
(−1)(x + y = 6)
x + 2y = 10
−x − y = −6
y = 4
69. Example 3
Solve the system of equations by elimination.
x + 2y = 10
x + y = 6
⎧
⎨
⎩
x + 4 = 6
x + 2y = 10
(−1)(x + y = 6)
x + 2y = 10
−x − y = −6
y = 4
−4 −4
70. Example 3
Solve the system of equations by elimination.
x + 2y = 10
x + y = 6
⎧
⎨
⎩
x + 4 = 6
x = 2
x + 2y = 10
(−1)(x + y = 6)
x + 2y = 10
−x − y = −6
y = 4
−4 −4
71. Example 3
Solve the system of equations by elimination.
x + 2y = 10
x + y = 6
⎧
⎨
⎩
x + 4 = 6
x = 2
(2,4)
x + 2y = 10
(−1)(x + y = 6)
x + 2y = 10
−x − y = −6
y = 4
−4 −4
72. Example 3
Solve the system of equations by elimination.
x + 2y = 10
x + y = 6
⎧
⎨
⎩
Check:
x + 4 = 6
x = 2
(2,4)
x + 2y = 10
(−1)(x + y = 6)
x + 2y = 10
−x − y = −6
y = 4
−4 −4
73. Example 3
Solve the system of equations by elimination.
x + 2y = 10
x + y = 6
⎧
⎨
⎩
Check:
2+ 2(4) = 10
x + 4 = 6
x = 2
(2,4)
x + 2y = 10
(−1)(x + y = 6)
x + 2y = 10
−x − y = −6
y = 4
−4 −4
74. Example 3
Solve the system of equations by elimination.
x + 2y = 10
x + y = 6
⎧
⎨
⎩
Check:
2+ 2(4) = 10 2+ 4 = 6
x + 4 = 6
x = 2
(2,4)
x + 2y = 10
(−1)(x + y = 6)
x + 2y = 10
−x − y = −6
y = 4
−4 −4
75. Example 4
Shecky’s Furniture Works builds two types of
wooden outdoor chairs. A rocking chair sells for
$265, and an Adirondack chair with a footstool
sells for $320. The books show that last month, the
business earned $13,930 for the 48 outdoor chairs
sold. How many rocking chairs were sold?
76. Example 4
Shecky’s Furniture Works builds two types of
wooden outdoor chairs. A rocking chair sells for
$265, and an Adirondack chair with a footstool
sells for $320. The books show that last month, the
business earned $13,930 for the 48 outdoor chairs
sold. How many rocking chairs were sold?
x = rocking chair
77. Example 4
Shecky’s Furniture Works builds two types of
wooden outdoor chairs. A rocking chair sells for
$265, and an Adirondack chair with a footstool
sells for $320. The books show that last month, the
business earned $13,930 for the 48 outdoor chairs
sold. How many rocking chairs were sold?
x = rocking chair
y = Adirondack chair
78. Example 4
Shecky’s Furniture Works builds two types of
wooden outdoor chairs. A rocking chair sells for
$265, and an Adirondack chair with a footstool
sells for $320. The books show that last month, the
business earned $13,930 for the 48 outdoor chairs
sold. How many rocking chairs were sold?
x = rocking chair
y = Adirondack chair
x + y = 48
265x + 320y = 13,930
⎧
⎨
⎩