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.
This document provides examples of solving systems of nonlinear equations in two variables. It begins with definitions, including that a nonlinear system contains at least one equation that is not of the form Ax + By = C. Methods for solving nonlinear systems include substitution and addition. Examples walk through both methods step-by-step for various systems. Key steps are rewriting equations in terms of variables, substituting values, solving resulting equations, back-substituting, and checking solutions satisfy both original 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.
1. The document discusses ordinary differential equations and provides definitions and examples of separable, homogeneous, exact, linear, and Bernoulli equations.
2. Methods for solving first order differential equations are presented, including finding acceptable solutions in terms of p, y, or x. Lagrange's and Clairaut's equations are also discussed.
3. Higher order and degree differential equations can be solved using methods like Lagrange's equation, Clairaut's equation, or solving the linear homogeneous and non-homogeneous forms with constant coefficients.
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.
Introduction to Numerical Methods for Differential Equationsmatthew_henderson
The document introduces the Euler method for numerically approximating solutions to initial value problems (IVPs). It defines IVPs and shows an example. The Euler method uses the derivative approximation y(x+h) ≈ y(x) + hf(x,y) to march forward in small steps h to construct a table of approximate y-values. For the example IVP, the Euler method produces values that begin to resemble the exact solution. While not exact, the errors are small. The method is derived from the definition of the derivative and works because it approximates the tangent line at each step.
The document discusses solving ordinary differential equations using Taylor's series method. It presents the Taylor's series for the first order differential equation dy/dx = f(x,y) and gives an example of solving the equation y = x + y, y(0) = 1 using this method. The solution is obtained by taking the Taylor's series expansion and determining the derivatives of y evaluated at x0 = 0. The values of y are computed at x = 0.1 and x = 0.2. A second example solves the differential equation dy/dx = 3x + y^2 using the same approach.
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.
The document defines and discusses differential equations and their solutions. It begins by classifying differential equations as ordinary or partial based on whether they involve one or more independent variables. Ordinary differential equations are then classified as linear or nonlinear based on their form. The order and degree of a differential equation are also defined.
Solutions to differential equations can be either explicit functions that directly satisfy the equation or implicit relations that define functions satisfying the equation. Picard's theorem guarantees a unique solution through each point for first-order equations. The general solution to a first-order equation is a one-parameter family of curves, with a particular solution corresponding to a specific value of the parameter. An initial value problem specifies both a differential equation and
This document provides examples of solving systems of nonlinear equations in two variables. It begins with definitions, including that a nonlinear system contains at least one equation that is not of the form Ax + By = C. Methods for solving nonlinear systems include substitution and addition. Examples walk through both methods step-by-step for various systems. Key steps are rewriting equations in terms of variables, substituting values, solving resulting equations, back-substituting, and checking solutions satisfy both original 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.
1. The document discusses ordinary differential equations and provides definitions and examples of separable, homogeneous, exact, linear, and Bernoulli equations.
2. Methods for solving first order differential equations are presented, including finding acceptable solutions in terms of p, y, or x. Lagrange's and Clairaut's equations are also discussed.
3. Higher order and degree differential equations can be solved using methods like Lagrange's equation, Clairaut's equation, or solving the linear homogeneous and non-homogeneous forms with constant coefficients.
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.
Introduction to Numerical Methods for Differential Equationsmatthew_henderson
The document introduces the Euler method for numerically approximating solutions to initial value problems (IVPs). It defines IVPs and shows an example. The Euler method uses the derivative approximation y(x+h) ≈ y(x) + hf(x,y) to march forward in small steps h to construct a table of approximate y-values. For the example IVP, the Euler method produces values that begin to resemble the exact solution. While not exact, the errors are small. The method is derived from the definition of the derivative and works because it approximates the tangent line at each step.
The document discusses solving ordinary differential equations using Taylor's series method. It presents the Taylor's series for the first order differential equation dy/dx = f(x,y) and gives an example of solving the equation y = x + y, y(0) = 1 using this method. The solution is obtained by taking the Taylor's series expansion and determining the derivatives of y evaluated at x0 = 0. The values of y are computed at x = 0.1 and x = 0.2. A second example solves the differential equation dy/dx = 3x + y^2 using the same approach.
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.
The document defines and discusses differential equations and their solutions. It begins by classifying differential equations as ordinary or partial based on whether they involve one or more independent variables. Ordinary differential equations are then classified as linear or nonlinear based on their form. The order and degree of a differential equation are also defined.
Solutions to differential equations can be either explicit functions that directly satisfy the equation or implicit relations that define functions satisfying the equation. Picard's theorem guarantees a unique solution through each point for first-order equations. The general solution to a first-order equation is a one-parameter family of curves, with a particular solution corresponding to a specific value of the parameter. An initial value problem specifies both a differential equation and
This document discusses differential equations. It begins by explaining that differential equations are used to model many physical phenomena in areas like economics, engineering, and more. It then provides examples of ordinary and partial differential equations. The rest of the document defines key terms related to differential equations like order, degree, families of curves, and how to derive the differential equation of a family of curves by eliminating parameters. Several examples are provided to illustrate these concepts.
This document discusses second order differential equations. It defines a second order differential equation as a relationship involving the second derivative of an dependent variable y with respect to an independent variable x. It explains that the characteristic or auxiliary equation is obtained by substituting trial solutions into the original differential equation. The general solution to a second order differential equation is the combination of the complementary function (solution when right hand side is zero) and particular integral (makes right hand side zero). Non-homogeneous second order differential equations can be solved by finding the complementary function and particular integral separately and combining them.
The document provides examples of solving systems of linear equations using various methods:
1) Addition - Adding corresponding terms of equations to eliminate a variable.
2) Substitution - Solving one equation for a variable in terms of the other and substituting into the second equation.
3) Comparison - Setting corresponding terms of equations equal to each other to solve for variables.
It works through 30 examples demonstrating these methods step-by-step to solve systems with two unknown variables.
The document provides an overview of first order differential equations and methods for solving them. It discusses linear equations and introduces the method of variation of parameters for finding the general solution to a linear ODE. It also covers exact equations and defines an exact differential equation as one that can be written as M(x,y)dx + N(x,y)dy = 0, where M and N are functions of both x and y and satisfy ∂M/∂y = ∂N/∂x. Examples are provided to demonstrate solving techniques.
(1) This document discusses ordinary differential equations of first order and first degree. Examples of differential equations are given and defined.
(2) Methods for solving first order differential equations are discussed, including variable separable, homogeneous, and linear methods. Examples of solving differential equations using these methods are provided.
(3) The order and degree of differential equations are defined. The process of forming differential equations from given functions is demonstrated through several examples.
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 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.
Integrating factors found by inspectionShin Kaname
1. The document discusses using exact differentials to solve integration problems.
2. It provides examples of using exact differentials and integrating terms to find solutions.
3. The solutions found are particular solutions for the given values of x and y in each problem.
This document discusses solving simultaneous linear and quadratic equations. It explains that for a linear equation and a non-linear equation, an unknown can be expressed in terms of the other unknown from the linear equation. This forms a quadratic equation that can then be solved using factorisation or the quadratic formula to obtain the values for both unknowns. As an example, it shows choosing x as the easier unknown from the linear equation x+2y=4 to get x=4-2y, then substituting this into the quadratic equation x^2+xy+y^2=7. This results in a quadratic equation that can be factorised to solve for y and back substitute to find x.
The document is an introduction to ordinary differential equations prepared by Ahmed Haider Ahmed. It defines key terms like differential equation, ordinary differential equation, partial differential equation, order, degree, and particular and general solutions. It then provides methods for solving various types of first order differential equations, including separable, homogeneous, exact, linear, and Bernoulli equations. Specific examples are given to illustrate each method.
This document summarizes methods for solving ordinary differential equations (ODEs). It discusses:
1) Types of ODEs including order, degree, linear/nonlinear.
2) Four methods for solving 1st order ODEs: separable variables, homogeneous equations, exact equations, and integrating factors.
3) Solutions to higher order linear ODEs using complementary functions and particular integrals.
4) Finding complementary functions and particular integrals for ODEs with constant coefficients.
The document discusses methods for solving first order ordinary differential equations (ODEs). It covers:
1) Finding the integrating factor for exact differential equations.
2) Solving homogeneous first order linear ODEs by making a substitution to reduce it to a separable equation.
3) Solving inhomogeneous first order linear ODEs using an integrating factor.
Examples are provided to demonstrate each method step-by-step.
1. Differential equations are equations involving derivatives of an unknown function and can be of different orders. Separable differential equations can be expressed as the product of a function of x and a function of y.
2. The general solution or family of solutions to a differential equation represents all possible solutions as determined by initial or boundary conditions. Initial value problems find a particular solution satisfying given initial conditions.
3. Models of natural growth and decay can be represented by differential equations where the rate of change is proportional to the amount present, with solutions in the form of exponential functions. The logistic growth model accounts for limiting factors with a carrying capacity.
This document discusses solving a differential equation using the Frobenius method. It presents the equation xy'' + (1 - 2x)y' + (x - 1)y = 0 and provides steps to find the indicial equation and power series solutions. These include determining coefficients, setting coefficients of like powers of x equal to 0, and solving the resulting equations to obtain the solutions as a power series expansion in terms of x.
The document discusses solving systems of linear equations graphically. It defines a system of equations as two or more equations with the same two variables that are solved simultaneously. The solution of a system is the intersection point of the two lines graphed from the equations. An example problem checks if an ordered pair (3,4) is a solution to a two equation system by graphing the lines and substituting the values into the equations. Both methods show it is not a solution.
This document discusses differential equations. It defines differential equations as equations relating an unknown function and one or more of its derivatives. It describes the order and degree of differential equations. Several examples of first order differential equations are given and solved using techniques like direct integration, variable separation, and solving homogeneous equations. The key steps for solving first order differential equations are outlined.
The document provides steps to solve exponential and logarithmic equations:
1. Isolate the exponential expression.
2. Take the log of both sides.
3. Solve and verify all solutions by substitution.
It then works through examples of solving exponential equations, isolating the exponential term, taking logs of both sides, and solving for the variable. Solutions are verified with substitution.
This document provides an overview of engineering mathematics II with a focus on first order ordinary differential equations (ODEs). It explains what first order ODEs are, how to solve separable and reducible first order ODEs, and provides examples of applying first order ODEs to model real-world scenarios like population growth, decay, and radioactive decay. The objectives are to explain first order ODEs, separable equations, and apply the concepts to real life applications.
The document discusses exact and non-exact differential equations. It defines an exact differential equation as one where the partial derivatives of M and N with respect to y and x respectively are equal. The solution to an exact differential equation involves finding a constant such that the integral of Mdx + terms of N not containing x dy is equal to that constant. A non-exact differential equation has unequal partial derivatives, requiring an integrating factor to make the equation exact. Several methods for finding an integrating factor are presented, including cases where it is a function of x or y alone or where the equation is homogeneous. Examples are provided to illustrate these concepts.
This document discusses partial differential equations (PDEs). It provides examples of how PDEs can be formed by eliminating constants or functions from relations involving multiple variables. It also discusses different types of first-order PDEs and methods for solving them. Several example problems are presented with step-by-step solutions showing how to derive and solve PDEs that model different physical situations. Standard forms and techniques for reducing PDEs to simpler forms are also outlined.
The document discusses sample spaces and theoretical probability. It defines key terms like event, sample space, tree diagram, and theoretical vs experimental probability. It provides examples of determining sample spaces using tree diagrams and the fundamental counting principle. Examples also show calculating theoretical probabilities of events by comparing favorable outcomes to total possible outcomes. The problem set provides additional practice with these concepts.
The document discusses calculating probabilities for the genders of children in a family with 3 children. It provides the probability that a boy is born as 49% and asks what the probability is that the oldest two children are boys (24.01%) and that the youngest child is a girl (51%).
This document discusses differential equations. It begins by explaining that differential equations are used to model many physical phenomena in areas like economics, engineering, and more. It then provides examples of ordinary and partial differential equations. The rest of the document defines key terms related to differential equations like order, degree, families of curves, and how to derive the differential equation of a family of curves by eliminating parameters. Several examples are provided to illustrate these concepts.
This document discusses second order differential equations. It defines a second order differential equation as a relationship involving the second derivative of an dependent variable y with respect to an independent variable x. It explains that the characteristic or auxiliary equation is obtained by substituting trial solutions into the original differential equation. The general solution to a second order differential equation is the combination of the complementary function (solution when right hand side is zero) and particular integral (makes right hand side zero). Non-homogeneous second order differential equations can be solved by finding the complementary function and particular integral separately and combining them.
The document provides examples of solving systems of linear equations using various methods:
1) Addition - Adding corresponding terms of equations to eliminate a variable.
2) Substitution - Solving one equation for a variable in terms of the other and substituting into the second equation.
3) Comparison - Setting corresponding terms of equations equal to each other to solve for variables.
It works through 30 examples demonstrating these methods step-by-step to solve systems with two unknown variables.
The document provides an overview of first order differential equations and methods for solving them. It discusses linear equations and introduces the method of variation of parameters for finding the general solution to a linear ODE. It also covers exact equations and defines an exact differential equation as one that can be written as M(x,y)dx + N(x,y)dy = 0, where M and N are functions of both x and y and satisfy ∂M/∂y = ∂N/∂x. Examples are provided to demonstrate solving techniques.
(1) This document discusses ordinary differential equations of first order and first degree. Examples of differential equations are given and defined.
(2) Methods for solving first order differential equations are discussed, including variable separable, homogeneous, and linear methods. Examples of solving differential equations using these methods are provided.
(3) The order and degree of differential equations are defined. The process of forming differential equations from given functions is demonstrated through several examples.
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 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.
Integrating factors found by inspectionShin Kaname
1. The document discusses using exact differentials to solve integration problems.
2. It provides examples of using exact differentials and integrating terms to find solutions.
3. The solutions found are particular solutions for the given values of x and y in each problem.
This document discusses solving simultaneous linear and quadratic equations. It explains that for a linear equation and a non-linear equation, an unknown can be expressed in terms of the other unknown from the linear equation. This forms a quadratic equation that can then be solved using factorisation or the quadratic formula to obtain the values for both unknowns. As an example, it shows choosing x as the easier unknown from the linear equation x+2y=4 to get x=4-2y, then substituting this into the quadratic equation x^2+xy+y^2=7. This results in a quadratic equation that can be factorised to solve for y and back substitute to find x.
The document is an introduction to ordinary differential equations prepared by Ahmed Haider Ahmed. It defines key terms like differential equation, ordinary differential equation, partial differential equation, order, degree, and particular and general solutions. It then provides methods for solving various types of first order differential equations, including separable, homogeneous, exact, linear, and Bernoulli equations. Specific examples are given to illustrate each method.
This document summarizes methods for solving ordinary differential equations (ODEs). It discusses:
1) Types of ODEs including order, degree, linear/nonlinear.
2) Four methods for solving 1st order ODEs: separable variables, homogeneous equations, exact equations, and integrating factors.
3) Solutions to higher order linear ODEs using complementary functions and particular integrals.
4) Finding complementary functions and particular integrals for ODEs with constant coefficients.
The document discusses methods for solving first order ordinary differential equations (ODEs). It covers:
1) Finding the integrating factor for exact differential equations.
2) Solving homogeneous first order linear ODEs by making a substitution to reduce it to a separable equation.
3) Solving inhomogeneous first order linear ODEs using an integrating factor.
Examples are provided to demonstrate each method step-by-step.
1. Differential equations are equations involving derivatives of an unknown function and can be of different orders. Separable differential equations can be expressed as the product of a function of x and a function of y.
2. The general solution or family of solutions to a differential equation represents all possible solutions as determined by initial or boundary conditions. Initial value problems find a particular solution satisfying given initial conditions.
3. Models of natural growth and decay can be represented by differential equations where the rate of change is proportional to the amount present, with solutions in the form of exponential functions. The logistic growth model accounts for limiting factors with a carrying capacity.
This document discusses solving a differential equation using the Frobenius method. It presents the equation xy'' + (1 - 2x)y' + (x - 1)y = 0 and provides steps to find the indicial equation and power series solutions. These include determining coefficients, setting coefficients of like powers of x equal to 0, and solving the resulting equations to obtain the solutions as a power series expansion in terms of x.
The document discusses solving systems of linear equations graphically. It defines a system of equations as two or more equations with the same two variables that are solved simultaneously. The solution of a system is the intersection point of the two lines graphed from the equations. An example problem checks if an ordered pair (3,4) is a solution to a two equation system by graphing the lines and substituting the values into the equations. Both methods show it is not a solution.
This document discusses differential equations. It defines differential equations as equations relating an unknown function and one or more of its derivatives. It describes the order and degree of differential equations. Several examples of first order differential equations are given and solved using techniques like direct integration, variable separation, and solving homogeneous equations. The key steps for solving first order differential equations are outlined.
The document provides steps to solve exponential and logarithmic equations:
1. Isolate the exponential expression.
2. Take the log of both sides.
3. Solve and verify all solutions by substitution.
It then works through examples of solving exponential equations, isolating the exponential term, taking logs of both sides, and solving for the variable. Solutions are verified with substitution.
This document provides an overview of engineering mathematics II with a focus on first order ordinary differential equations (ODEs). It explains what first order ODEs are, how to solve separable and reducible first order ODEs, and provides examples of applying first order ODEs to model real-world scenarios like population growth, decay, and radioactive decay. The objectives are to explain first order ODEs, separable equations, and apply the concepts to real life applications.
The document discusses exact and non-exact differential equations. It defines an exact differential equation as one where the partial derivatives of M and N with respect to y and x respectively are equal. The solution to an exact differential equation involves finding a constant such that the integral of Mdx + terms of N not containing x dy is equal to that constant. A non-exact differential equation has unequal partial derivatives, requiring an integrating factor to make the equation exact. Several methods for finding an integrating factor are presented, including cases where it is a function of x or y alone or where the equation is homogeneous. Examples are provided to illustrate these concepts.
This document discusses partial differential equations (PDEs). It provides examples of how PDEs can be formed by eliminating constants or functions from relations involving multiple variables. It also discusses different types of first-order PDEs and methods for solving them. Several example problems are presented with step-by-step solutions showing how to derive and solve PDEs that model different physical situations. Standard forms and techniques for reducing PDEs to simpler forms are also outlined.
The document discusses sample spaces and theoretical probability. It defines key terms like event, sample space, tree diagram, and theoretical vs experimental probability. It provides examples of determining sample spaces using tree diagrams and the fundamental counting principle. Examples also show calculating theoretical probabilities of events by comparing favorable outcomes to total possible outcomes. The problem set provides additional practice with these concepts.
The document discusses calculating probabilities for the genders of children in a family with 3 children. It provides the probability that a boy is born as 49% and asks what the probability is that the oldest two children are boys (24.01%) and that the youngest child is a girl (51%).
The document provides examples of factoring sums and differences of powers of polynomials with real and complex coefficients. It demonstrates factoring polynomials using the sums and differences of cubes theorem and sums and differences of odd powers theorem. Examples factor polynomials of the form x^n - y^n, x^n + y^n, t^7 - w^7, x - y^10, and more.
This document appears to be notes from a math class covering topics related to complex numbers. It includes definitions of complex numbers and their parts, examples of simplifying complex number expressions using arithmetic operations, the concept of the complex conjugate, and an example problem working through simplifying a complex number expression step-by-step. The document concludes with a question about why complex conjugates are needed and assigning homework problems related to complex numbers.
This document summarizes key concepts from a chapter on probability, including experimental probability, relative frequency, and examples. It defines an experiment as an activity that produces observed and recorded data. Relative frequency is comparing the number of times an outcome occurs to the total number of observations. Experimental probability is the likelihood an event will occur, calculated by the number of favorable outcomes over the total possible outcomes. Examples are provided to demonstrate calculating experimental probability from survey results and finding the probability of an event based on relative areas. The homework assignment is to complete problems 1 through 20 on page 152.
This document provides examples and explanations of transformations of trigonometric functions including phase shifts and vertical/horizontal shifts. It discusses how to write alternative equations for shifted trig functions by following patterns of + and - signs. Examples are provided comparing graphs of original and transformed trig functions to illustrate various shifts. The document also discusses concepts of phase relationships between voltage and current in AC circuits including being in phase, out of phase, and maximum inductance occurring when voltage leads current by a phase of π/2 radians. Homework problems from p. 282 #1-20 are assigned.
The document provides instructions on graphing parabolas using vertex form and translations. It defines the vertex form of a parabola as y = a(x - h)2 + k, where (h, k) are the coordinates of the vertex. Examples show how to find the image of a parabola under a translation Th,k and graph parabolas by hand by determining the vertex and symmetrical y-values. Steps are given to graph a parabola as finding the vertex, symmetrical values, and filling in the graph.
This document defines key vocabulary terms related to parallel lines and transversals, including parallel lines, transversals, interior angles, exterior angles, alternate interior angles, same-side interior angles, alternate exterior angles, and corresponding angles. It provides examples of how these terms apply when two parallel lines are intersected by a transversal, and lists the parallel line postulates that corresponding angles and alternate interior angles are congruent if lines are parallel.
1. The document discusses polynomials, including adding and subtracting polynomials. It defines important terms used in working with polynomials like monomial, binomial, trinomial, coefficient, constant, and like terms.
2. Examples are provided for writing polynomials in standard form, adding polynomials, subtracting polynomials, and simplifying polynomials.
3. Homework assigned is problems 1-39 odd on page 378.
The document defines key terms related to order of operations and evaluating numerical expressions, including numerical expression, value, simplify, exponent, variable expression, and evaluate. It provides the mnemonic "Please Excuse My Dear Aunt Sally" to remember the order of operations: Parentheses, Exponents, Multiplication, Division, Addition, Subtraction. Examples are provided to demonstrate simplifying expressions using order of operations and evaluating variable expressions.
This document provides instruction on factoring polynomials using the greatest common factor (GCF) method. It begins with an essential question and vocabulary definitions. It then walks through examples of factoring different polynomials step-by-step. The examples demonstrate finding the common factors of terms and variables and leaving the GCF outside parentheses. The document concludes with assigning homework problems involving factoring multiples of 3.
This document provides examples and explanations of key concepts related to graphing functions in the coordinate plane, including the distance and midpoint formulas. It begins by defining important vocabulary like coordinate plane, quadrants, axes and ordered pairs. It then works through two examples calculating the distance between points using the distance formula and finding the midpoint of a quadrilateral using the midpoint formula. The document explains that the distance formula is the Pythagorean theorem solved for the hypotenuse and the midpoint formula averages the x and y coordinates of two points.
The document defines various angle and line relationships through examples and diagrams. It defines ray, angle, vertex, degrees, complementary angles, supplementary angles, adjacent angles, congruent angles, perpendicular lines, vertical angles, and bisector of an angle. It then provides two example problems to demonstrate using these concepts to find the measures of unknown angles. The first example finds the measures of two supplementary angles given information about their relationship. The second example draws a figure and uses properties of vertical angles and angle bisectors to determine the measure of an unknown angle.
This document provides examples for multiplying polynomials by monomials. It begins with an essential question about multiplying polynomials by monomials and where this concept is applied. It then provides 4 examples of simplifying polynomial multiplication, showing the step-by-step work. It concludes with an example problem involving writing and simplifying expressions for the areas of different figures.
Simulations are used to relate probabilities by modeling complex situations as simple experiments. The document discusses using simulations on calculators and smartphones to model probabilities. It provides an example of simulating a baseball player's batting average over 10 at-bats. The simulation is run 25 times to determine the probability of getting exactly 3 hits is 8/25. The document also discusses using coins, cards, dice, and spinners to simulate different probability ratios like 1:2, 1:4, and 1:6. It concludes with assigning problem set questions from the textbook.
The document discusses linear combination situations involving buying items with a fixed amount of money. It provides an example where bread costs $2 per loaf and cakes cost $3 each, and the goal is to buy some combination of bread and cake for $20. It is found that there are 3 combinations that satisfy this: 7 loaves of bread and 2 cakes; 4 loaves of bread and 4 cakes; or 1 loaf of bread and 6 cakes. The document then defines a linear combination and provides two examples involving ticket sales and mixing weed killer solutions.
1. The document discusses direct variation and direct square variation functions through examples and definitions of key terms.
2. Direct variation problems can be modeled by the equation y = kx, where k is the constant of variation.
3. Direct square variation problems can be modeled by the equation y = kx^2, forming a parabolic relationship between variables.
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.
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.
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.
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.
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 describes the substitution method for solving systems of linear equations. It provides examples of using the substitution method to solve systems of two equations with two unknowns. The steps are: (1) solve one equation for one variable, (2) substitute this expression into the other equation and solve, (3) substitute the solution back to find the other variable, (4) write the solution as an ordered pair. Video clips demonstrate the method and examples provide the full working of the substitution method to find the point of intersection for systems of equations. Practice problems are given for readers to try applying the substitution method on their own.
The document discusses methods for solving systems of linear equations in two variables:
1) Graphical method involves plotting the lines defined by each equation on a graph and finding their point of intersection.
2) Algebraic methods include substitution, elimination by equating coefficients, and cross-multiplication. Elimination involves manipulating the equations to eliminate one variable and solve for the other.
3) Examples demonstrate solving a system using substitution and elimination to find the solution values for x and y.
The document provides a review of the three methods to solve systems of equations: graphing, substitution, and elimination. It includes examples of systems of equations to solve using each method. Checkpoint questions are provided to have the student practice solving systems of equations by graphing, substitution, and elimination.
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.
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.
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 an overview of solving systems of linear equations through three methods: graphing, substitution, and elimination. It defines systems of linear equations as two or more linear equations with the same variables, where the point of intersection is the solution. Examples are worked through for each solving method. Graphing involves putting the equations in y-intercept form and finding the point where the lines intersect on a graph. Substitution involves solving one equation for a variable and substituting it into the other equation. Elimination involves adding or subtracting the equations to eliminate a variable and then solving for the remaining variable.
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.
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.
1. The document outlines the day's math lesson which includes reviewing systems of equations solutions, solving 3x3 systems, and completing yesterday's class work.
2. It provides examples and steps for solving systems of equations by graphing, elimination, and substitution. Equations are presented in standard form and slope-intercept form.
3. Solving 3x3 systems is discussed, noting they cannot be graphed since they exist in three dimensions. The substitution method is demonstrated through an example.
This document discusses solving systems of equations and inequalities through three main methods: graphing, substitution, and elimination. It provides examples of each method. For graphing systems, it explains the three possibilities for the graphs: consistent systems with one solution where the lines intersect, inconsistent systems with no solution where the lines are parallel, and dependent systems with infinite solutions where the lines coincide. It then works through examples of using substitution and elimination to solve systems algebraically. [/SUMMARY]
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.
Solving System of Equations by SubstitutionTwinkiebear7
1) The document discusses solving systems of equations using substitution. It provides 5 steps for solving a system by substitution: 1) solve one equation for a variable, 2) substitute into the other equation, 3) solve the new equation, 4) plug back in to find the other variable, and 5) check the solution.
2) It then works through examples, showing that substitution is easiest when one equation is already solved for a variable. It also notes that if the final step results in a false statement, there are no solutions, and if true, there are infinitely many solutions.
This document discusses solving linear systems by adding or subtracting equations (elimination or combination). It provides steps to solve linear systems: 1) arrange like terms in columns, 2) add or subtract equations to eliminate one variable, 3) substitute and solve for the eliminated variable, 4) substitute back into an original equation and solve for the other variable. Examples demonstrate these steps, showing solutions verified by checking in the original equations. Practice problems are assigned.
The document provides information on properties of straight lines and methods to write equations of straight lines given different conditions. It also discusses solving systems of linear equations using different methods like graphing, substitution, elimination and Cramer's rule. Key points covered include writing equations in slope-intercept and standard form, finding slopes of parallel and perpendicular lines, and properties of consistent, inconsistent and dependent 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.
This presentation includes basic of PCOS their pathology and treatment and also Ayurveda correlation of PCOS and Ayurvedic line of treatment mentioned in classics.
ISO/IEC 27001, ISO/IEC 42001, and GDPR: Best Practices for Implementation and...PECB
Denis is a dynamic and results-driven Chief Information Officer (CIO) with a distinguished career spanning information systems analysis and technical project management. With a proven track record of spearheading the design and delivery of cutting-edge Information Management solutions, he has consistently elevated business operations, streamlined reporting functions, and maximized process efficiency.
Certified as an ISO/IEC 27001: Information Security Management Systems (ISMS) Lead Implementer, Data Protection Officer, and Cyber Risks Analyst, Denis brings a heightened focus on data security, privacy, and cyber resilience to every endeavor.
His expertise extends across a diverse spectrum of reporting, database, and web development applications, underpinned by an exceptional grasp of data storage and virtualization technologies. His proficiency in application testing, database administration, and data cleansing ensures seamless execution of complex projects.
What sets Denis apart is his comprehensive understanding of Business and Systems Analysis technologies, honed through involvement in all phases of the Software Development Lifecycle (SDLC). From meticulous requirements gathering to precise analysis, innovative design, rigorous development, thorough testing, and successful implementation, he has consistently delivered exceptional results.
Throughout his career, he has taken on multifaceted roles, from leading technical project management teams to owning solutions that drive operational excellence. His conscientious and proactive approach is unwavering, whether he is working independently or collaboratively within a team. His ability to connect with colleagues on a personal level underscores his commitment to fostering a harmonious and productive workplace environment.
Date: May 29, 2024
Tags: Information Security, ISO/IEC 27001, ISO/IEC 42001, Artificial Intelligence, GDPR
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Find out more about ISO training and certification services
Training: ISO/IEC 27001 Information Security Management System - EN | PECB
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This slide is special for master students (MIBS & MIFB) in UUM. Also useful for readers who are interested in the topic of contemporary Islamic banking.
How to Add Chatter in the odoo 17 ERP ModuleCeline George
In Odoo, the chatter is like a chat tool that helps you work together on records. You can leave notes and track things, making it easier to talk with your team and partners. Inside chatter, all communication history, activity, and changes will be displayed.
Reimagining Your Library Space: How to Increase the Vibes in Your Library No ...Diana Rendina
Librarians are leading the way in creating future-ready citizens – now we need to update our spaces to match. In this session, attendees will get inspiration for transforming their library spaces. You’ll learn how to survey students and patrons, create a focus group, and use design thinking to brainstorm ideas for your space. We’ll discuss budget friendly ways to change your space as well as how to find funding. No matter where you’re at, you’ll find ideas for reimagining your space in this session.
বাংলাদেশের অর্থনৈতিক সমীক্ষা ২০২৪ [Bangladesh Economic Review 2024 Bangla.pdf] কম্পিউটার , ট্যাব ও স্মার্ট ফোন ভার্সন সহ সম্পূর্ণ বাংলা ই-বুক বা pdf বই " সুচিপত্র ...বুকমার্ক মেনু 🔖 ও হাইপার লিংক মেনু 📝👆 যুক্ত ..
আমাদের সবার জন্য খুব খুব গুরুত্বপূর্ণ একটি বই ..বিসিএস, ব্যাংক, ইউনিভার্সিটি ভর্তি ও যে কোন প্রতিযোগিতা মূলক পরীক্ষার জন্য এর খুব ইম্পরট্যান্ট একটি বিষয় ...তাছাড়া বাংলাদেশের সাম্প্রতিক যে কোন ডাটা বা তথ্য এই বইতে পাবেন ...
তাই একজন নাগরিক হিসাবে এই তথ্য গুলো আপনার জানা প্রয়োজন ...।
বিসিএস ও ব্যাংক এর লিখিত পরীক্ষা ...+এছাড়া মাধ্যমিক ও উচ্চমাধ্যমিকের স্টুডেন্টদের জন্য অনেক কাজে আসবে ...
LAND USE LAND COVER AND NDVI OF MIRZAPUR DISTRICT, UPRAHUL
This Dissertation explores the particular circumstances of Mirzapur, a region located in the
core of India. Mirzapur, with its varied terrains and abundant biodiversity, offers an optimal
environment for investigating the changes in vegetation cover dynamics. Our study utilizes
advanced technologies such as GIS (Geographic Information Systems) and Remote sensing to
analyze the transformations that have taken place over the course of a decade.
The complex relationship between human activities and the environment has been the focus
of extensive research and worry. As the global community grapples with swift urbanization,
population expansion, and economic progress, the effects on natural ecosystems are becoming
more evident. A crucial element of this impact is the alteration of vegetation cover, which plays a
significant role in maintaining the ecological equilibrium of our planet.Land serves as the foundation for all human activities and provides the necessary materials for
these activities. As the most crucial natural resource, its utilization by humans results in different
'Land uses,' which are determined by both human activities and the physical characteristics of the
land.
The utilization of land is impacted by human needs and environmental factors. In countries
like India, rapid population growth and the emphasis on extensive resource exploitation can lead
to significant land degradation, adversely affecting the region's land cover.
Therefore, human intervention has significantly influenced land use patterns over many
centuries, evolving its structure over time and space. In the present era, these changes have
accelerated due to factors such as agriculture and urbanization. Information regarding land use and
cover is essential for various planning and management tasks related to the Earth's surface,
providing crucial environmental data for scientific, resource management, policy purposes, and
diverse human activities.
Accurate understanding of land use and cover is imperative for the development planning
of any area. Consequently, a wide range of professionals, including earth system scientists, land
and water managers, and urban planners, are interested in obtaining data on land use and cover
changes, conversion trends, and other related patterns. The spatial dimensions of land use and
cover support policymakers and scientists in making well-informed decisions, as alterations in
these patterns indicate shifts in economic and social conditions. Monitoring such changes with the
help of Advanced technologies like Remote Sensing and Geographic Information Systems is
crucial for coordinated efforts across different administrative levels. Advanced technologies like
Remote Sensing and Geographic Information Systems
9
Changes in vegetation cover refer to variations in the distribution, composition, and overall
structure of plant communities across different temporal and spatial scales. These changes can
occur natural.
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How to Manage Your Lost Opportunities in Odoo 17 CRMCeline George
Odoo 17 CRM allows us to track why we lose sales opportunities with "Lost Reasons." This helps analyze our sales process and identify areas for improvement. Here's how to configure lost reasons in Odoo 17 CRM
A workshop hosted by the South African Journal of Science aimed at postgraduate students and early career researchers with little or no experience in writing and publishing journal articles.
Exploiting Artificial Intelligence for Empowering Researchers and Faculty, In...Dr. Vinod Kumar Kanvaria
Exploiting Artificial Intelligence for Empowering Researchers and Faculty,
International FDP on Fundamentals of Research in Social Sciences
at Integral University, Lucknow, 06.06.2024
By Dr. Vinod Kumar Kanvaria
2. Essential Question
How do you solve systems of equations using substitution?
Where you’ll see this:
Transportation, construction, sports, recreation
9. Solve for y
When substituting, we might need to rewrite an equation. To do
this, we need to decide which equations to rewrite.
10. Solve for y
When substituting, we might need to rewrite an equation. To do
this, we need to decide which equations to rewrite.
Which equation requires the fewest steps to solve for y?
3x −7 y = 21 8x − y =16
4x + y = 3
2 2 x+y
x +5 y = 9x −3 y =3
3 2
12. Solve a System of Equations by
Substitution
1. Solve one equation for one variable (your choice)
13. Solve a System of Equations by
Substitution
1. Solve one equation for one variable (your choice)
2. Substitute the expression from the equation into the other
equation
14. Solve a System of Equations by
Substitution
1. Solve one equation for one variable (your choice)
2. Substitute the expression from the equation into the other
equation
3. Solve for the variable and substitute back into the original
equation to find the other variable
15. Solve a System of Equations by
Substitution
1. Solve one equation for one variable (your choice)
2. Substitute the expression from the equation into the other
equation
3. Solve for the variable and substitute back into the original
equation to find the other variable
4. Rewrite your answer as an ordered pair and check it!
16. Example 2
Solve the system of equations and check.
4x +3 y = 27
2x − y =1
17. Example 2
Solve the system of equations and check.
4x +3 y = 27
2x − y =1
2x − y =1
18. Example 2
Solve the system of equations and check.
4x +3 y = 27
2x − y =1
2x − y =1
−2x −2x
19. Example 2
Solve the system of equations and check.
4x +3 y = 27
2x − y =1
2x − y =1
−2x −2x
− y = −2x +1
20. Example 2
Solve the system of equations and check.
4x +3 y = 27
2x − y =1
2x − y =1
−2x −2x
− y = −2x +1
y = 2x −1
21. Example 2
Solve the system of equations and check.
4x +3 y = 27
2x − y =1
2x − y =1
−2x −2x
− y = −2x +1
y = 2x −1
4x +3(2x −1) = 27
22. Example 2
Solve the system of equations and check.
4x +3 y = 27
2x − y =1
2x − y =1
−2x −2x
− y = −2x +1
y = 2x −1
4x +3(2x −1) = 27
4x + 6x −3 = 27
23. Example 2
Solve the system of equations and check.
4x +3 y = 27
2x − y =1
2x − y =1
−2x −2x 10x −3 = 27
− y = −2x +1
y = 2x −1
4x +3(2x −1) = 27
4x + 6x −3 = 27
24. Example 2
Solve the system of equations and check.
4x +3 y = 27
2x − y =1
2x − y =1
−2x −2x 10x −3 = 27
− y = −2x +1 +3 +3
y = 2x −1
4x +3(2x −1) = 27
4x + 6x −3 = 27
25. Example 2
Solve the system of equations and check.
4x +3 y = 27
2x − y =1
2x − y =1
−2x −2x 10x −3 = 27
− y = −2x +1 +3 +3
y = 2x −1 10x = 30
4x +3(2x −1) = 27
4x + 6x −3 = 27
26. Example 2
Solve the system of equations and check.
4x +3 y = 27
2x − y =1
2x − y =1
−2x −2x 10x −3 = 27
− y = −2x +1 +3 +3
y = 2x −1 10x = 30
10 10
4x +3(2x −1) = 27
4x + 6x −3 = 27
27. Example 2
Solve the system of equations and check.
4x +3 y = 27
2x − y =1
2x − y =1
−2x −2x 10x −3 = 27
− y = −2x +1 +3 +3
y = 2x −1 10x = 30
10 10
4x +3(2x −1) = 27 x =3
4x + 6x −3 = 27
28. Example 2
Solve the system of equations and check.
4x +3 y = 27
2x − y =1
2x − y =1 2(3)− y =1
−2x −2x 10x −3 = 27
− y = −2x +1 +3 +3
y = 2x −1 10x = 30
10 10
4x +3(2x −1) = 27 x =3
4x + 6x −3 = 27
29. Example 2
Solve the system of equations and check.
4x +3 y = 27
2x − y =1
2x − y =1 2(3)− y =1
−2x −2x 10x −3 = 27
+3 +3 6− y =1
− y = −2x +1
y = 2x −1 10x = 30
10 10
4x +3(2x −1) = 27 x =3
4x + 6x −3 = 27
30. Example 2
Solve the system of equations and check.
4x +3 y = 27
2x − y =1
2x − y =1 2(3)− y =1
−2x −2x 10x −3 = 27
+3 +3 6− y =1
− y = −2x +1
y = 2x −1 10x = 30 y =5
10 10
4x +3(2x −1) = 27 x =3
4x + 6x −3 = 27
31. Example 2
Solve the system of equations and check.
4x +3 y = 27
2x − y =1
2x − y =1 2(3)− y =1
−2x −2x 10x −3 = 27
+3 +3 6− y =1
− y = −2x +1
y = 2x −1 10x = 30 y =5
10 10 Check:
4x +3(2x −1) = 27 x =3
4x + 6x −3 = 27
32. Example 2
Solve the system of equations and check.
4x +3 y = 27
2x − y =1
2x − y =1 2(3)− y =1
−2x −2x 10x −3 = 27
+3 +3 6− y =1
− y = −2x +1
y = 2x −1 10x = 30 y =5
10 10 Check:
4x +3(2x −1) = 27 x =3 4(3)+3(5) = 27
4x + 6x −3 = 27
33. Example 2
Solve the system of equations and check.
4x +3 y = 27
2x − y =1
2x − y =1 2(3)− y =1
−2x −2x 10x −3 = 27
+3 +3 6− y =1
− y = −2x +1
y = 2x −1 10x = 30 y =5
10 10 Check:
4x +3(2x −1) = 27 x =3 4(3)+3(5) = 27
4x + 6x −3 = 27 2(3)−5 =1
34. Example 2
Solve the system of equations and check.
4x +3 y = 27
2x − y =1
2x − y =1 2(3)− y =1
−2x −2x 10x −3 = 27
+3 +3 6− y =1
− y = −2x +1
y = 2x −1 10x = 30 y =5
10 10 Check:
4x +3(2x −1) = 27 x =3 4(3)+3(5) = 27
4x + 6x −3 = 27 2(3)−5 =1
(3, 5)
35. Example 3
In a two-digit number, the sum of the digits is 9. The number is 12 times
the tens digit. Find the number using a system of equations.
36. Example 3
In a two-digit number, the sum of the digits is 9. The number is 12 times
the tens digit. Find the number using a system of equations.
Let x = tens digit and y = ones digit.
37. Example 3
In a two-digit number, the sum of the digits is 9. The number is 12 times
the tens digit. Find the number using a system of equations.
Let x = tens digit and y = ones digit.
The number will be 10x + y.
38. Example 3
In a two-digit number, the sum of the digits is 9. The number is 12 times
the tens digit. Find the number using a system of equations.
Let x = tens digit and y = ones digit.
The number will be 10x + y.
Set up the system:
39. Example 3
In a two-digit number, the sum of the digits is 9. The number is 12 times
the tens digit. Find the number using a system of equations.
Let x = tens digit and y = ones digit.
The number will be 10x + y.
Set up the system:
x+ y =9
40. Example 3
In a two-digit number, the sum of the digits is 9. The number is 12 times
the tens digit. Find the number using a system of equations.
Let x = tens digit and y = ones digit.
The number will be 10x + y.
Set up the system:
x+ y =9
10x + y =12x
41. Example 3
In a two-digit number, the sum of the digits is 9. The number is 12 times
the tens digit. Find the number using a system of equations.
Let x = tens digit and y = ones digit.
The number will be 10x + y.
Set up the system:
x+ y =9
{ 10x + y =12x
43. Example 3
x + y = 9
10x + y =12x
y = −x + 9
44. Example 3
x + y = 9
10x + y =12x
y = −x + 9
10x +(−x + 9) =12x
45. Example 3
x + y = 9
10x + y =12x
y = −x + 9
10x +(−x + 9) =12x
9x + 9 =12x
46. Example 3
x + y = 9
10x + y =12x
y = −x + 9
10x +(−x + 9) =12x
9x + 9 =12x
9 = 3x
47. Example 3
x + y = 9
10x + y =12x
y = −x + 9
10x +(−x + 9) =12x
9x + 9 =12x
9 = 3x
x =3
48. Example 3
x + y = 9
10x + y =12x
y = −x + 9 3+ y = 9
10x +(−x + 9) =12x
9x + 9 =12x
9 = 3x
x =3
49. Example 3
x + y = 9
10x + y =12x
y = −x + 9 3+ y = 9
10x +(−x + 9) =12x y =6
9x + 9 =12x
9 = 3x
x =3
50. Example 3
x + y = 9
10x + y =12x
y = −x + 9 3+ y = 9
10x +(−x + 9) =12x y =6
9x + 9 =12x Check:
9 = 3x
x =3
51. Example 3
x + y = 9
10x + y =12x
y = −x + 9 3+ y = 9
10x +(−x + 9) =12x y =6
9x + 9 =12x Check:
9 = 3x 3+ 6 = 9
x =3
52. Example 3
x + y = 9
10x + y =12x
y = −x + 9 3+ y = 9
10x +(−x + 9) =12x y =6
9x + 9 =12x Check:
9 = 3x 3+ 6 = 9
x =3
10(3)+ 6 =12(3)
53. Example 3
x + y = 9
10x + y =12x
y = −x + 9 3+ y = 9
10x +(−x + 9) =12x y =6
9x + 9 =12x Check:
9 = 3x 3+ 6 = 9
x =3
10(3)+ 6 =12(3)
30 + 6 = 36
54. Example 3
x + y = 9
10x + y =12x
y = −x + 9 3+ y = 9
10x +(−x + 9) =12x y =6
9x + 9 =12x Check: (3, 6)
9 = 3x 3+ 6 = 9
x =3
10(3)+ 6 =12(3)
30 + 6 = 36
55. Example 4
Solve each system of equations. Check your solution.
x − 2 y = 7
a.
−2x + 4 y = −14
56. Example 4
Solve each system of equations. Check your solution.
x − 2 y = 7
a.
−2x + 4 y = −14
x = 2 y +7
57. Example 4
Solve each system of equations. Check your solution.
x − 2 y = 7
a.
−2x + 4 y = −14
x = 2 y +7
−2(2 y +7)+ 4 y = −14
58. Example 4
Solve each system of equations. Check your solution.
x − 2 y = 7
a.
−2x + 4 y = −14
x = 2 y +7
−2(2 y +7)+ 4 y = −14
−4 y −14 + 4 y = −14
59. Example 4
Solve each system of equations. Check your solution.
x − 2 y = 7
a.
−2x + 4 y = −14
x = 2 y +7
−2(2 y +7)+ 4 y = −14
−4 y −14 + 4 y = −14
−14 = −14
60. Example 4
Solve each system of equations. Check your solution.
x − 2 y = 7
a.
−2x + 4 y = −14
x = 2 y +7
−2(2 y +7)+ 4 y = −14
−4 y −14 + 4 y = −14
−14 = −14
What’s going on here?
61. Example 4
Solve each system of equations. Check your solution.
x − 2 y = 7
a.
−2x + 4 y = −14
x = 2 y +7 −2 y = −x +7
−2(2 y +7)+ 4 y = −14
−4 y −14 + 4 y = −14
−14 = −14
What’s going on here?
62. Example 4
Solve each system of equations. Check your solution.
x − 2 y = 7
a.
−2x + 4 y = −14
x = 2 y +7 −2 y = −x +7
−2(2 y +7)+ 4 y = −14 1 7
y= x−
−4 y −14 + 4 y = −14 2 2
−14 = −14
What’s going on here?
63. Example 4
Solve each system of equations. Check your solution.
x − 2 y = 7
a.
−2x + 4 y = −14
x = 2 y +7 −2 y = −x +7 4 y = 2x −14
−2(2 y +7)+ 4 y = −14 1 7
y= x−
−4 y −14 + 4 y = −14 2 2
−14 = −14
What’s going on here?
64. Example 4
Solve each system of equations. Check your solution.
x − 2 y = 7
a.
−2x + 4 y = −14
x = 2 y +7 −2 y = −x +7 4 y = 2x −14
−2(2 y +7)+ 4 y = −14 1 7 1 7
y= x− y= x−
−4 y −14 + 4 y = −14 2 2 2 2
−14 = −14
What’s going on here?
65. Example 4
Solve each system of equations. Check your solution.
x − 2 y = 7
a.
−2x + 4 y = −14
x = 2 y +7 −2 y = −x +7 4 y = 2x −14
−2(2 y +7)+ 4 y = −14 1 7 1 7
y= x− y= x−
−4 y −14 + 4 y = −14 2 2 2 2
−14 = −14 These are the same lines!
What’s going on here?
66. Example 4
Solve each system of equations. Check your solution.
x − 2 y = 7
a.
−2x + 4 y = −14
x = 2 y +7 −2 y = −x +7 4 y = 2x −14
−2(2 y +7)+ 4 y = −14 1 7 1 7
y= x− y= x−
−4 y −14 + 4 y = −14 2 2 2 2
−14 = −14 These are the same lines!
What’s going on here? Infinitely many solutions
on the line.
67. Example 4
Solve each system of equations. Check your solution.
x − 2 y = 7
a.
−2x + 4 y = −14
x = 2 y +7 −2 y = −x +7 4 y = 2x −14
−2(2 y +7)+ 4 y = −14 1 7 1 7
y= x− y= x−
−4 y −14 + 4 y = −14 2 2 2 2
−14 = −14 These are the same lines!
What’s going on here? Infinitely many solutions
on the line.
68. Example 4
Solve each system of equations. Check your solution.
2x −7 y = −2
b.
−4x +14 y = 3
69. Example 4
Solve each system of equations. Check your solution.
2x −7 y = −2
b.
−4x +14 y = 3
−7 y = −2x − 2
70. Example 4
Solve each system of equations. Check your solution.
2x −7 y = −2
b.
−4x +14 y = 3
−7 y = −2x − 2
2 2
y= x−
7 7
71. Example 4
Solve each system of equations. Check your solution.
2x −7 y = −2
b.
−4x +14 y = 3
−7 y = −2x − 2
2 2
y= x−
7 7
2 2
−4x +14 x − = 3
7 7
72. Example 4
Solve each system of equations. Check your solution.
2x −7 y = −2
b.
−4x +14 y = 3
−7 y = −2x − 2
2 2
y= x−
7 7
2 2
−4x +14 x − = 3
7 7
−4x + 4x − 4 = 3
73. Example 4
Solve each system of equations. Check your solution.
2x −7 y = −2
b.
−4x +14 y = 3
−7 y = −2x − 2
2 2
y= x−
7 7
2 2
−4x +14 x − = 3
7 7
−4x + 4x − 4 = 3
−4 = 3
74. Example 4
Solve each system of equations. Check your solution.
2x −7 y = −2
b.
−4x +14 y = 3
−7 y = −2x − 2
2 2 14 y = 4x +3
y= x−
7 7
2 2
−4x +14 x − = 3
7 7
−4x + 4x − 4 = 3
−4 = 3
75. Example 4
Solve each system of equations. Check your solution.
2x −7 y = −2
b.
−4x +14 y = 3
−7 y = −2x − 2
2 2 14 y = 4x +3
y= x−
7 7 2 3
2 2 y= x+
−4x +14 x − = 3 7 14
7 7
−4x + 4x − 4 = 3
−4 = 3
76. Example 4
Solve each system of equations. Check your solution.
2x −7 y = −2
b.
−4x +14 y = 3
−7 y = −2x − 2
2 2 14 y = 4x +3
y= x−
7 7 2 3
2 2 y= x+
−4x +14 x − = 3 7 14
7 7
These lines are parallel.
−4x + 4x − 4 = 3
−4 = 3
77. Example 4
Solve each system of equations. Check your solution.
2x −7 y = −2
b.
−4x +14 y = 3
−7 y = −2x − 2
2 2 14 y = 4x +3
y= x−
7 7 2 3
2 2 y= x+
−4x +14 x − = 3 7 14
7 7
These lines are parallel.
−4x + 4x − 4 = 3
There are no solutions.
−4 = 3
78. Homework
p. 346 #1-29 odd
“I have high expectations for you, so I will wait a little longer. I know you
can get it if I give you a chance.” - Myra and David Sadker