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The relationship between the concavity of a function and its first and second derivatives using the example of parabolas. It discusses how the behavior of the first derivative, which represents the slope of the curve, and the second derivative, which indicates the rate of change of the first derivative, can help identify critical values and determine the concavity of a function. The document also includes examples and exercises to reinforce the concepts.
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notes by Tim Pilachowski
Last time, we did a visual review of graphs, looking at six items: increasing/decreasing, maximum/minimum (relative and absolute), inflection points and concave up/down, x and y -intercepts, points at which the function is undefined, and asymptotes. This time, we explore how first and second derivatives tell us about some of these attributes. Consider the graph of y = x^2 pictured to the left along with its derivatives y ′= 2 x and y ′′= 2. The parabola, y = x^2 , is decreasing on the interval – ∞ < x < 0, has an absolute minimum at (0, 0), and is increasing on the interval 0 < x < ∞. The values of the first derivative, which tells us the slope of the curve, match this behavior. The first derivative, y ′^ = 2 x , is negative on the interval – ∞ < x < 0, equals 0 at x = 0, and is positive on the interval 0 < x < ∞. The second derivative tells us a the concavity of y = x
bout (^2). The second derivative, y ′ ′= 2 sitive for all values of x , indicating that the parabola is concave up for all values of x in its domain. What is th
, is po
e connection between the concavity of a function and its second
st
derivative? The second derivative is the slope of the first derivative, and tells us how the first derivative is
changing, i.e. how the slope of the function is itself changing. In the graph of y = x^2 above, the slope (fir
derivative) is negative on the interval
In trying to describe or draw a curve, we’ll look for critical values , i.e. values at which something significant happens on the curve, i.e. where the first or second derivative (or both) either equals 0 or is undefined.
Consider 2
1 y = x = x. Since. x
x dx
dy 2
= −^ = is undefined for x = 0 and
positive for all x > 0, we conclude that the graph of x has a vertical tangent at the
origin and is increasing over the whole domain x ≥ 0. Since 2
3 4
2
2 = − x − dx
d y is
negative for all x > 0 we conclude that the graph has no points of inflection and that x is concave down over its whole domain.
For. The only critical value is x = 0, for which f and both its derivatives equal 0. Note however that
f = x^3 , f ′= 3 x^2 ,and f ′′= 6 x f ′^ is positive for all other values of x. Since f is therefore increasing on both sides of (0, 0), it cannot be either a relative maximum or minimum. We conclude that the curve “levels out” at the origin then continues upward and that (0, 0) is a point of inflection. Since f ′′^ < 0 for x < 0 the curve is concave down to the left of the y -axis. Since the curve is concave up to the right of the y -axis.
f ′′^ > 0 for x > 0
the first derivative, and the second derivative can be filled into the table below.
interval f f ′^ f f ′′
x < −
x = −
− < x <
x = 0
0 < x <
x =
< x 3
There are three critical values At 3
x = − the curve has a relative maximum: f ′^ = 0 and f ′′< 0. At x = 0 the
curve has a point of inflection and f ′′= 0. At 3
x = the curve has a relative minimum: f ′^ = 0 and f ′′> 0.
of inflection. We can determine whether f is concave up or down by determining where f ′′is positive or negative.
interval x < –3 x = –3 –3 < x < 0.1 x ≅ 0. 1 0.1 < x < 3 x = 3 3 < x value of f ′′^ > 0 = 0 < 0 = 0 > 0 = 0 < 0
f is concave… up down up down Since the second derivative (indicating concavity) moves from positive to zero to negative at x = –3, from negative to zero to positive at , and from positive to zero to negative at^ x^ = 3, we can conclude that all three are indeed points of inflection on the graph of f.
x ≅ 0. 1
Putting all of the information together, we can draw a possible graph for f , which may look something like this: