Determine Whether The Quadratic Function Has A Minimum

Determine Whether The Given Quadratic Function Has A Minimum Value Or

Determine whether the given quadratic function has a minimum value or maximum value. Then find the coordinates of the minimum or maximum point.

- f(x) = x^2 + 2x – 9

- f(x) = -x^2 - 2x – 6

- F(x) = -3x^2 + 6x

Paper For Above instruction

Quadratic functions play a significant role in mathematics, particularly in algebra and calculus, due to their distinctive parabolic shape and the information they provide about maximum and minimum values. These extrema are crucial in optimization problems across various real-world applications, including physics, economics, engineering, and more. This paper discusses how to determine whether a quadratic function has a minimum or maximum value and how to find the coordinates of these points for given quadratic functions.

Understanding Quadratic Functions and Extrema

A quadratic function generally has the form f(x) = ax^2 + bx + c, where a, b, and c are real numbers, and a ≠ 0. The parabola opens upward when a > 0, indicating that the function has a minimum point, whereas it opens downward when a

The vertex of the parabola gives the maximum or minimum point. The x-coordinate of the vertex, x_v, can be determined using the formula:

\[ x_v = -\frac{b}{2a} \]

The y-coordinate (or the function value at the vertex) is obtained by substituting x_v back into the function:

\[ f(x_v) = a x_v^2 + b x_v + c \]

Analyzing Specific Quadratic Functions

1. f(x) = x^2 + 2x – 9

This is a quadratic function where a = 1, b = 2, and c = -9. Since the coefficient of x^2, which is 1, is positive, the parabola opens upward and has a minimum point.

- Find the x-coordinate of the vertex:

\[

x_v = -\frac{b}{2a} = -\frac{2}{2 \times 1} = -\frac{2}{2} = -1

\]

- Find the y-coordinate (function value at x = -1):

\[

f(-1) = (-1)^2 + 2(-1) - 9 = 1 - 2 - 9 = -10

\]

- Conclusion: The quadratic function has a minimum value at (-1, -10).

2. f(x) = -x^2 - 2x – 6

Here, a = -1, b = -2, c = -6. Since a = -1, which is negative, the parabola opens downward, implying the function has a maximum point.

- Find the x-coordinate of the vertex:

\[

x_v = -\frac{b}{2a} = -\frac{-2}{2 \times -1} = \frac{2}{-2} = -1

\]

- Find the y-coordinate:

\[

f(-1) = -(-1)^2 - 2(-1) - 6 = -1 + 2 - 6 = -5

\]

- Conclusion: The quadratic function has a maximum value at (-1, -5).

3. F(x) = -3x^2 + 6x

This quadratic function has a = -3, b = 6, c = 0. Since a is negative, the parabola opens downward, and the function has a maximum point.

- Find the x-coordinate of the vertex:

\[

x_v = -\frac{6}{2 \times -3} = -\frac{6}{-6} = 1

\]

- Find the y-coordinate:

\[

F(1) = -3(1)^2 + 6(1) = -3 + 6 = 3

\]

- Conclusion: The maximum point is at (1, 3).

Summary of Findings

| Function | Parabola Opening | Extrema | Coordinates of Extrema |

|--------------|------------------------|--------------|----------------------------|

| f(x) = x^2 + 2x – 9 | Upward (a > 0) | Minimum | (-1, -10) |

| f(x) = -x^2 - 2x – 6 | Downward (a

| F(x) = -3x^2 + 6x | Downward (a

Implications and Applications

Identifying whether a quadratic function has a maximum or minimum is fundamental in optimization scenarios. For example, in economics, profit functions modeled as quadratics can indicate optimal pricing points; in physics, parabolic trajectories determine maximum heights or minimum energy paths; and in engineering, structural designs depend heavily on such calculations to ensure stability and efficiency.

Furthermore, the method of finding the vertex via the formula for x_v simplifies the process dramatically, avoiding unnecessary calculus for basic quadratic functions. This approach underscores the importance of fundamental algebraic methods in solving real-world problems efficiently.

Conclusion

In summary, the nature of a quadratic function—whether it has a maximum or a minimum—is determined by the sign of its leading coefficient. The vertex formula provides a straightforward way to locate the extremum point, allowing for precise identification of the maximum or minimum value along with its coordinates. These methods are invaluable tools across various disciplines where optimization and parabola analysis are relevant.

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