To compare the functions
-
Function
:- This is a quadratic function (a parabola) with the standard form
. - It opens upwards because the coefficient of the
term is positive. - The vertex of this parabola can be found at
. - The axis of symmetry is
. - The y-intercept can be found by setting
: .
- This is a quadratic function (a parabola) with the standard form
-
Function
:- This is a linear function with a slope of 2 and a y-intercept of 4.
- The equation can be rewritten in slope-intercept form as
(where and ). - The graph of this function will be a straight line.
Comparison:
- Similarities: Both functions can be evaluated at any real number
and have y-intercepts, though they are different. Both functions can be transformed into their respective graph forms. - Differences: The function
is nonlinear (quadratic) and has a unique minimum point (the vertex), while is linear with no curvature, continually increasing without bound. Additionally, is symmetric around its vertex, whereas has no symmetry.
Graphs: To visualize the functions, you can plot them:
-
For
:- The vertex at (-2, 0)
- The y-intercept at (0, 4)
-
For
:- The y-intercept at (0, 4)
- A slope of 2 indicates a steep increase.
Plotting the Functions
import matplotlib.pyplot as plt
import numpy as np
# Define the range of x values
x = np.linspace(-6, 2, 400)
# Define the functions
f = (x + 2)**2
g = 2*x + 4
# Create the plot
plt.figure(figsize=(10, 6))
plt.plot(x, f, label='f(x) = (x + 2)^2', color='blue')
plt.plot(x, g, label='g(x) = 2x + 4', color='red')
# Add key features
plt.scatter([-2, 0], [0, 4], color='blue') # f(x) features
plt.scatter([0], [4], color='red') # g(x) feature
# Annotations
plt.text(-2, 0, 'Vertex (-2, 0)', fontsize=10, verticalalignment='bottom')
plt.text(0, 4, 'Y-Intercept (0, 4)', fontsize=10, verticalalignment='bottom')
plt.axhline(0, color='black',linewidth=0.5, ls='--')
plt.axvline(0, color='black',linewidth=0.5, ls='--')
# Set title and labels
plt.title('Comparison of f(x) and g(x)')
plt.xlabel('x')
plt.ylabel('y')
plt.legend()
plt.grid()
plt.ylim(-5, 10)
plt.xlim(-6, 2)
# Show the plot
plt.show()
This graph illustrates the differences and similarities effectively!