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    • Second derivative

      • Fortunately, the second derivative can be used to determine the concavity of a function without a graph or the need to check every single x-value.
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  2. There are a number of ways to determine the concavity of a function. If given a graph of f (x) or f' (x), determining concavity is relatively simple. Otherwise, the most reliable way to determine concavity is to use the second derivative of the function; the steps for doing so as well as an example are located at the bottom of the page.

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  3. State the first derivative test for critical points. Use concavity and inflection points to explain how the sign of the second derivative affects the shape of a function’s graph. Explain the concavity test for a function over an open interval.

  4. Dec 21, 2020 · Find the inflection points of \(f\) and the intervals on which it is concave up/down. Solution. We start by finding \(f'(x)=3x^2-3\) and \(f''(x)=6x\). To find the inflection points, we use Theorem \(\PageIndex{2}\) and find where \(f''(x)=0\) or where \(f''\) is undefined. We find \(f''\) is always defined, and is 0 only when \(x=0\).

  5. 1. I am given a function f(x) f ( x). I determined that f(x)′′ = 0 f ( x) ″ = 0 precisely when x x is 4 4 or −3 − 3. I am asked to find the interval for which the function is concave down. How can I do it by knowing the values x = 4 x = 4 and x = −3 x = − 3 and without having to plot the function? calculus. Share. Cite. edited Dec 9, 2013 at 5:15.

  6. If f ′ (x) is negative on an interval, the graph of y = f(x) is decreasing on that interval. The second derivative tells us if a function is concave up or concave down. If f ″ (x) is positive on an interval, the graph of y = f(x) is concave up on that interval.

  7. If a function changes from concave upward to concave downward or vice versa around a point, it is called a point of inflection of the function. In determining intervals where a function is concave upward or concave downward, you first find domain values where f″ (x) = 0 or f″ (x) does not exist.

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