How to solve the critical point of a function Local minimum local maximum

Computer Science

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Step-by-step solution

3 steps

To find the critical points, local minima, and local maxima of a function f(x)f(x):

  1. Find the first derivative of the function, f′(x)f'(x).

    f′(x)=ddxf(x)f'(x) = \frac{d}{dx} f(x)
  2. Find the critical points by setting the first derivative equal to zero and solving for xx, or by finding where the first derivative is undefined.

    f′(x)=0orf′(x) is undefinedf'(x) = 0 \quad \text{or} \quad f'(x) \text{ is undefined}

    The xx-values obtained are the critical points.

  3. Use either the First Derivative Test or the Second Derivative Test to classify these critical points as local minima, local maxima, or neither.

    • First Derivative Test:

      • Choose test values in intervals around each critical point.
      • If f′(x)f'(x) changes from positive to negative at a critical point, it's a local maximum.
      • If f′(x)f'(x) changes from negative to positive at a critical point, it's a local minimum.
      • If f′(x)f'(x) does not change sign, it's neither (often an inflection point).
    • Second Derivative Test:

      • Find the second derivative of the function, f′′(x)f''(x).
      • Substitute each critical point xcx_c into f′′(x)f''(x).
      • If f′′(xc)>0f''(x_c) > 0, the critical point is a local minimum.
      • If f′′(xc)<0f''(x_c) < 0, the critical point is a local maximum.
      • If f′′(xc)=0f''(x_c) = 0, the test is inconclusive, and you should use the First Derivative Test.
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