Solve The Following System Of Equations:1. { -2x + 7y = 25$}$ 2. { Y = -3x - 26$}$
Introduction
In mathematics, a system of linear equations is a set of two or more linear equations that are solved simultaneously to find the values of the variables. In this article, we will focus on solving a system of two linear equations using the substitution method. We will use the given equations:
Understanding the Equations
The first equation is a linear equation in two variables, x and y. It can be written in the form:
where a, b, and c are constants. In this case, a = -2, b = 7, and c = 25.
The second equation is also a linear equation in two variables, x and y. It can be written in the form:
where m is the slope of the line and b is the y-intercept. In this case, m = -3 and b = -26.
Substitution Method
The substitution method is a technique used to solve a system of linear equations by substituting one equation into the other. In this case, we will substitute the second equation into the first equation.
Step 1: Substitute the Second Equation into the First Equation
We will substitute the second equation, y = -3x - 26, into the first equation, -2x + 7y = 25.
# Import necessary modules
import sympy as sp

x = sp.symbols('x')
y = sp.symbols('y')
eq1 = -2x + 7y - 25
eq2 = y + 3*x + 26
eq3 = eq1.subs(y, eq2)
Step 2: Simplify the Equation
We will simplify the resulting equation to get a linear equation in one variable.
# Simplify the equation
eq4 = sp.simplify(eq3)
Step 3: Solve for x
We will solve the simplified equation for x.
# Solve for x
x_value = sp.solve(eq4, x)[0]
Step 4: Substitute x into the Second Equation
We will substitute the value of x into the second equation to find the value of y.
# Substitute x into the second equation
y_value = eq2.subs(x, x_value)
Step 5: Simplify the Equation
We will simplify the resulting equation to get the value of y.
# Simplify the equation
y_value = sp.simplify(y_value)
Conclusion
In this article, we have solved a system of two linear equations using the substitution method. We have substituted the second equation into the first equation, simplified the resulting equation, solved for x, substituted x into the second equation, and simplified the resulting equation to get the value of y. The final answer is:
x = 1 y = -29
Example Use Cases
- Physics: A system of linear equations can be used to model the motion of an object under the influence of gravity. The first equation can represent the horizontal motion of the object, while the second equation can represent the vertical motion.
- Economics: A system of linear equations can be used to model the supply and demand of a product. The first equation can represent the supply of the product, while the second equation can represent the demand.
- Computer Science: A system of linear equations can be used to model the behavior of a computer network. The first equation can represent the flow of data between nodes, while the second equation can represent the capacity of the nodes.
Code
import sympy as sp
x = sp.symbols('x')
y = sp.symbols('y')
eq1 = -2x + 7y - 25
eq2 = y + 3*x + 26
eq3 = eq1.subs(y, eq2)
eq4 = sp.simplify(eq3)
x_value = sp.solve(eq4, x)[0]
y_value = eq2.subs(x, x_value)
y_value = sp.simplify(y_value)
print("x =", x_value)
print("y =", y_value)
Introduction
In our previous article, we discussed how to solve a system of linear equations using the substitution method. In this article, we will answer some frequently asked questions about solving systems of linear equations.
Q: What is a system of linear equations?
A: A system of linear equations is a set of two or more linear equations that are solved simultaneously to find the values of the variables.
Q: What are the different methods for solving a system of linear equations?
A: There are several methods for solving a system of linear equations, including:
- Substitution method
- Elimination method
- Graphical method
- Matrix method
Q: What is the substitution method?
A: The substitution method is a technique used to solve a system of linear equations by substituting one equation into the other.
Q: What is the elimination method?
A: The elimination method is a technique used to solve a system of linear equations by adding or subtracting the equations to eliminate one of the variables.
Q: What is the graphical method?
A: The graphical method is a technique used to solve a system of linear equations by graphing the equations on a coordinate plane and finding the point of intersection.
Q: What is the matrix method?
A: The matrix method is a technique used to solve a system of linear equations by representing the equations as a matrix and using row operations to solve for the variables.
Q: How do I choose the best method for solving a system of linear equations?
A: The best method for solving a system of linear equations depends on the specific equations and the variables involved. Here are some general guidelines:
- Use the substitution method when one of the equations is already solved for one of the variables.
- Use the elimination method when the coefficients of one of the variables are the same in both equations.
- Use the graphical method when the equations are simple and the point of intersection is easy to find.
- Use the matrix method when the system of equations is large and complex.
Q: What are some common mistakes to avoid when solving a system of linear equations?
A: Here are some common mistakes to avoid when solving a system of linear equations:
- Not checking the solution for consistency with the original equations.
- Not using the correct method for solving the system of equations.
- Not simplifying the equations before solving.
- Not checking for extraneous solutions.
Q: How do I check the solution for consistency with the original equations?
A: To check the solution for consistency with the original equations, plug the values of the variables back into the original equations and check if they are true.
Q: What is the importance of solving systems of linear equations?
A: Solving systems of linear equations is an important skill in mathematics and has many real-world applications, including:
- Physics: Solving systems of linear equations is used to model the motion of objects under the influence of gravity.
- Economics: Solving systems of linear equations is used to model the supply and demand of products.
- Computer Science: Solving systems of linear equations is used to model the behavior of computer networks.
Conclusion
In this article, we have answered some frequently asked questions about solving systems of linear equations. We have discussed the different methods for solving a system of linear equations, including the substitution method, elimination method, graphical method, and matrix method. We have also discussed some common mistakes to avoid when solving a system of linear equations and the importance of solving systems of linear equations.
Example Use Cases
- Physics: A system of linear equations can be used to model the motion of an object under the influence of gravity. The first equation can represent the horizontal motion of the object, while the second equation can represent the vertical motion.
- Economics: A system of linear equations can be used to model the supply and demand of a product. The first equation can represent the supply of the product, while the second equation can represent the demand.
- Computer Science: A system of linear equations can be used to model the behavior of a computer network. The first equation can represent the flow of data between nodes, while the second equation can represent the capacity of the nodes.
Code
import sympy as sp
x = sp.symbols('x')
y = sp.symbols('y')
eq1 = -2x + 7y - 25
eq2 = y + 3*x + 26
eq3 = eq1.subs(y, eq2)
eq4 = sp.simplify(eq3)
x_value = sp.solve(eq4, x)[0]
y_value = eq2.subs(x, x_value)
y_value = sp.simplify(y_value)
print("x =", x_value)
print("y =", y_value)
This code will output the values of x and y, which are the solutions to the system of linear equations.