Quadratic Function
A quadratic function is a type of polynomial function that can be written in the form:
f(x) = ax^2 + bx + c
Where a, b, and c are constants, and x is the input variable
A quadratic function is a type of polynomial function that can be written in the form:
f(x) = ax^2 + bx + c
Where a, b, and c are constants, and x is the input variable. The highest power of the variable x is 2, hence the name quadratic. The graph of a quadratic function is a parabola.
The value of the constant a determines the shape of the parabola. If a > 0, the parabola opens upwards (concave up), and if a < 0, the parabola opens downwards (concave down). The constant term c represents the y-intercept, which is the point where the graph of the quadratic function intersects the y-axis. In other words, it is the value of the function when x is 0. The coefficient b controls the line of symmetry of the parabola, which is a vertical line that divides the parabola into two equal halves. The line of symmetry is given by x = -b/(2a). The vertex of the parabola, which is the highest or lowest point on the curve, lies on this line of symmetry. To graph a quadratic function, you can follow these steps: 1. Find the vertex: Use the formula x = -b/(2a) to find the x-coordinate of the vertex. Substitute this value back into the function to find the corresponding y-coordinate. 2. Find the y-intercept: Set x = 0 and evaluate the function to find the y-intercept. 3. Find additional points: Choose other values for x and find the corresponding y-values by substituting them into the function. You can choose x-values on either side of the vertex to determine the shape of the parabola. 4. Plot the points: Plot the vertex, y-intercept, and any additional points you found on a coordinate plane. 5. Draw the curve: Connect the points with a smooth curve. Remember that the parabola is symmetric, so the other half of the curve will be a reflection of the first half. 6. Label the axes and any key points or values. Quadratic functions are used to model various real-world situations, such as projectile motion, profit maximization, and finding the optimum solution for a problem.
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