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DIFFERENTIATION, IMPLICIT DIFFERENTIATION, DERIVATIVES OF HIGHER ORDER, INFLECTION POINTS, CRITICAL POINTS, MAXIMA AND MINIMA


The process of differentiation involves applying the various differentiation rules and formulas (the main ones having been memorized) to the function for which we want the derivative.


Differentiation examples.


Problem 1. Find the derivative of y = 8x4 + 5x2 - 9x


Solution.


ole.gif


             ole1.gif


            = 8(4x3) + 5(2x) - 9(1)                   (by Rule 10)


            = 32x3 + 10x - 9



Problem 2. Find the derivative of y = sin 3x + cos 2x.


Solution.


ole2.gif


            = 3 cos 3x - 2 sin 2x




Problem 3. Find the derivative of


             ole3.gif


Solution.


ole4.gif


             ole5.gif




Problem 4. Find the derivative of e-x ln x.


Solution.


ole6.gif

 

             ole7.gif


             ole8.gif




Implicit differentiation. An equation of the form y = f(x) is said to define y as an explicit function of x. When y is given as an explicit function of x there is no difficulty in obtaining dy/dx using our rules and formulas for differentiating functions. If, however, y is given as an implicit function of x through an equation of the form f(x, y) = 0 it may be inconvenient or impossible to solve the equation for y in terms of x. There is, nonetheless, a method of finding dy/dx without solving the equation for y. The method is called implicit differentiation. In general, for implicit functions, the method of implicit differentiation is the most convenient and practical method to use for differentiating.


The method consists in 1. Differentiating the equation as it stands with respect to x, regarding y as an unknown function of x having a derivative dy/dx, and 2. Solving the resulting equation for dy/dx. We illustrate with an example.


Problem. Given equation


1)        x3 + 5x2 + xy2 - 5y2 = 0.


Find dy/dx.


Solution.


Step 1. Differentiate each term of the equation with respect to x regarding, y as an unknown function of x:


             ole9.gif



             ole10.gif


ole11.gif

Step 2. Regard dy/dx as the unknown and solve the equation by the usual methods.


             ole12.gif


             ole13.gif


ole14.gif

                                                                                    

A graph of equation 1) is shown in Fig. 1. At any point that we choose on the locus of the equation the value of dy/dx will be given by 2).





Derivatives of Higher Order. The derivative dy/dx of a function y = f(x) is itself a function of x. Thus its derivative can be found in turn. It is called the second derivative of the function. Similarly the derivative of the second derivative is called the third derivative, and so on for still higher derivatives.


Notations for higher order derivatives.


Second derivative:


             ole15.gif




Third derivative:


             ole16.gif


N-th derivative:


 

             ole17.gif

 



Note. The derivative of a given order at a point can exist only when the function and all derivatives of lower order are differentiable at the point.


Example.


             ole18.gif


             ole19.gif

 

             ole20.gif





Successive differentiation of implicit functions. Suppose y is defined implicitly as a function of x in an equation of the form f(x, y) = 0 where y cannot be solved for x and one wishes to compute higher order derivatives of y with respect to x. We can do so using the method of implicit differentiation. The following example illustrates the technique.


Problem. Given the equation x2 - y2 = a2. Find


             ole21.gif


Solution.


ole22.gif


             ole23.gif


ole24.gif


Now take the derivative of 2):


             ole25.gif


Substituting in the value of dy/dx = x/y from 2) we get

 

             ole26.gif


                         ole27.gif


All admissible values of x and y must satisfy the original equation x2 - y2 = a2. Consequently we can replace y2 - x2 by -a2 and write the result in the simpler form


ole28.gif


Taking the third derivative with respect to x we get


  ole29.gif

 

 

 

              ole30.gif

 

             ole31.gif

ole32.gif

 

Then using the fact that dy/dx = x/y, we get

 

ole33.gif

 

 

 

 

 

 

 

Signs of the first and second derivatives. We now consider the meanings of positive and negative values for dy/dx and d2y/dx2.

 

ole34.gif

dy/dx is positive. The curve rises with increasing x. The tangent line has a positive slope. See Fig. 2. The inclination angle θ is positive.

                                                                        

dy/dx is negative. The curve drops with increasing x. The tangent line has a negative slope. See Fig. 3. The inclination angle θ is negative.

 

 

 

ole35.gif

d2y/dx2 is positive. The slope is increasing as x increases. The tangent line turns in a counterclockwise manner as it traverses the curve from left to right. The arc is concave upwards. The tangent line lies below the curve. See Fig. 4.

                                                                        

 

 

 

d2y/dx2 is negative. The slope is decreasing as x increases. The tangent line turns in a clockwise manner as it traverses the curve from left to right. The arc is concave downwards. The tangent line lies above the curve. See Fig. 5.

 

 

In Fig. 6 we see the graph of the function

 

            y = x3 - 3x2 + 6 .

ole36.gif

 

On the arc AMP the value of d2y/dx2 is negative and on the arc PNB it is positive. Point P where it changes form negative to positive is an inflection point.

 

ole37.gif

Inflection point. An inflection point on a curve is a point at which the second derivative d2y/dx2 changes sign (i.e. from negative to positive or positive to negative). Thus it is a point at which the concavity of the curve changes (from upward concavity to downward concavity or vice versa). In general, d2y/dx2 = 0 at inflection points. However, it is possible for a curve to have an inflection point at which d2y/dx2 is not equal to zero. This can only happen, however, if the second derivative fails to exist at such a point. Such points can be discovered by studying the behavior of the curve in the neighborhood of any points at which d2y/dx2 becomes infinite or otherwise fails to exist. An example of a curve with an inflection point where d2y/dx2 is not equal to zero is the curve

 

             ole38.gif

                                                                               

shown in Fig. 7. The derivatives are

 

ole39.gif

             ole40.gif                                      

             ole41.gif

                                                

There is no value of x for which d2y/dx2 = 0, but the derivative fails to exist at x = 0. The point (0, 0) is an inflection point. To the left of the point d2y/dx2 is positive and the curve is concave upward and to the right of the point d2y/dx2 is negative and the arc is concave downward.                        

 

Def. Critical (or stationary) point. A critical (or stationary) point of a function y = f(x) is a point at which dy/dx = 0. It corresponds to a point on the curve at which the tangent to the curve is horizontal.

 

● In general, a critical point represents either a maximum point, a minimum point or an inflection point.

 

Def. Critical value of x. A value of x at which a critical point occurs i.e. a point at which dy/dx = 0. All roots of f '(x) = 0 are critical values of x.

 

Maxima and minima. A function y = f(x) has a maximum at a point x0 if f(x0) ole42.gif f(x) for all points in the neighborhood of x0. Such a function has a minimum at a point x0 if f(x0) ole43.gif f(x) for all points in the neighborhood of x0.

 

Necessary condition for a maxima or minima. Generally speaking, a necessary condition for a function y = f(x) to have a maximum or minimum at a point is that dy/dx = 0 at the point. However, there is an exception. In Fig. 8 point E represents an exception. At point E dy/dx doesn’t exist. Maxima or minima can occur at points at which dy/dx doesn’t exist.

 

Referring to Fig. 8:

ole44.gif

● A, B, C, D are critical (or stationary) points; dy/dx = 0 at each point A, B, C, D

● x1, x2, x3, x4 are critical values of x

● A and C are maximum points

● B and E are minimum points

● F, G, D and H are inflection points

 

 

Procedure for determining maxima and minima. In locating maximum and minimum points we utilize the following fact: The slope is positive immediately before (to the left of) a maximum point and negative immediately after one. For a minimum point, the slope is negative before and positive after.

 

To determine the maximum and minimum points of y = f(x):

 

1. Solve f '(x) = 0 for the critical values of x.

2. Apply either the first derivative test or second derivative test:

 

First derivative test:

 

ole45.gif

 

 

ole46.gif

 

 

If neither (a) nor (b) holds, then the point in question is neither a maximum nor a minimum but a point of inflection with a horizontal tangent.

 

Second derivative test:

 

            f ''(x1) < 0 — Maximum point 

            f ''(x1) > 0 — Minimum point

 

If f ''(x1) = 0, the test fails and the point might or might not be a maximum or minimum. In this case we can proceed as follows. Let

 

            f '(x1) = f ''(x1) = f ''' (x1) = ... = f [n -1](x1) = 0,

            f n(x1) ole47.gif 0.

 

Then

 

(a) n is even. If f n(x1) < 0, point is a maximum

                        If f n(x1) > 0, point is a minimum

 

(b) n is odd. Point is neither a maximum nor a minimum.

 

 

Example. Find the maxima and minima of

 

            y = 2x3 + 3x2 - 12x - 15

 

See Fig. 9.

 

Solution.

            y' = 6x2 + 6x - 12

               = 6(x+2)(x - 1) = 0

 

ole48.gif

Critical values: x = -2, 1

 

First derivative test for x = -2 :                                            

            y' > 0 before, y' < 0 after

 

Thus x = -2 corresponds to a maximum point.

 

First derivative test for x = 1 :

 

            y' < 0 before, y' > 0 after

 

So x = 1 corresponds to a minimum point.

 

 



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