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Graph the polynomial and determine how many local maxima and minima it has. $$y=\frac{1}{3} x^{7}-17 x^{2}+7$$

Short Answer

Expert verified
The polynomial has one local maximum and one local minimum.

Step by step solution

01

Find the Derivative

To find the local maxima and minima, first compute the first derivative of the function, which is necessary to locate critical points. The polynomial function is \( y = \frac{1}{3} x^7 - 17x^2 + 7 \). The first derivative is \( y' = \frac{d}{dx}(\frac{1}{3} x^7 - 17x^2 + 7) = \frac{7}{3}x^6 - 34x \).
02

Find Critical Points

Set the first derivative equal to zero to find the critical points: \( \frac{7}{3}x^6 - 34x = 0 \). Factor the equation to solve for \( x \): \( x(\frac{7}{3}x^5 - 34) = 0 \). The solutions are \( x = 0 \) and \( x = \sqrt[5]{\frac{34}{\frac{7}{3}}} \).
03

Determine the Nature of Critical Points

Find the second derivative to determine if each critical point is a maximum, minimum, or neither. The second derivative is \( y'' = \frac{d^2}{dx^2}(\frac{1}{3} x^7 - 17x^2 + 7) = 14x^5 - 34 \). Substitute critical points into the second derivative: for \( x = 0 \), \( y''(0) = -34 \) (local maximum); for \( x = \sqrt[5]{\frac{102}{7}} \), \( y'' \) is positive (local minimum).
04

Conclude the Number of Local Maxima and Minima

Based on the second derivative test, the function has one local maximum at \( x = 0 \) and one local minimum at \( x = \sqrt[5]{\frac{34}{\frac{7}{3}}} \).

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Key Concepts

These are the key concepts you need to understand to accurately answer the question.

First Derivative
When graphing a polynomial and seeking to find its local maxima and minima, the first derivative is your go-to tool. The first derivative of a function, denoted as \( y' \), provides the rate at which the function's value is changing. For our polynomial function \( y = \frac{1}{3} x^7 - 17x^2 + 7 \), the first derivative is calculated as follows:
  • Differentiate the polynomial: \( y' = \frac{7}{3}x^6 - 34x \).
  • This derivative tells us how steep or flat the function is at any point \( x \).
  • A critical step in finding local maxima and minima involves setting this first derivative to zero and solving for \( x \): \( \frac{7}{3} x^6 - 34x = 0 \).
Breaking this down, the solutions to this equation provide the critical points, which are potential locations for local maxima or minima. These points are vital to understanding where the graph changes from increasing to decreasing, or vice versa.
Critical Points
Critical points occur where the first derivative is equal to zero or is undefined, signaling possible peaks and troughs in the graph of a polynomial. These points are where the slope of the curve is neither increasing nor decreasing. For the function given, the critical points are derived by solving:
  • Set the first derivative to zero: \( \frac{7}{3} x^6 - 34x = 0 \).
  • Factor the equation: \( x(\frac{7}{3} x^5 - 34) = 0 \).
  • This gives us potential critical points at \( x = 0 \) and \( x = \sqrt[5]{\frac{34}{\frac{7}{3}}} \).
Critical points are essential in the sketching and understanding of the function's graph as they denote regions where the function can change directions. However, not all critical points are maxima or minima; their nature needs further examination which involves the second derivative.
Second Derivative
The second derivative of a function, denoted as \( y'' \), gives further insight into the curvature of the graph and helps determine the nature of each critical point. It tells us whether a critical point is a local maximum, minimum, or neither.
  • The second derivative is calculated as \( y'' = 14x^5 - 34 \) for our polynomial.
  • By substituting the critical points into this derivative, we can apply the second derivative test.
    • If \( y''(x) > 0 \), the function is concave up at \( x \) and the critical point is a local minimum.
    • If \( y''(x) < 0 \), the function is concave down, indicating a local maximum.
For \( x = 0 \), \( y''(0) = -34 \), showing a local maximum. For \( x = \sqrt[5]{\frac{34}{\frac{7}{3}}} \), since \( y'' \) is positive, this critical point is a local minimum. This second derivative test thus confirms the types of extremas at the identified critical points.

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Most popular questions from this chapter

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