Function analysis using derivatives.

Increasing and Decreasing Functions. Extremum.

A function y=f(x) is called increasing (decreasing) on the interval (a,b) if from the inequality $x_1f(x_2)$).

If the function f(x) is differentiable on the interval (a,b) and f(x)>0 for all x(a,b), then the function f(x) increases on (a,b); if f(x)<0 for all x(a,b), then f(x) decreases on this interval.

In simple cases, the domain of definition of the function y=f(x) can be divided into a finite number of monotonicity intervals. Each of the monotonicity intervals is bounded by critical points where f(x)=0 or f(x) does not exist.

If there exists a neighborhood U0(x0) of the point x0 such that for every point xx0 in this neighborhood, the inequality f(x)>f(x0) (or $f(x)

Necessary condition for an extremum.

If x0 is a point of extremum of the function f(x), then f(x0)=0 or f(x0) does not exist, i.e., x0 is a critical point of this function.

Sufficient conditions for an extremum of a continuous function.

1. Let the function f(x) be differentiable in some neighborhood (x0δ,,,x0+δ) of the critical point x0, except perhaps at this point itself. If in this case, the derivative f(x) has opposite signs in the intervals (x0δ,,x0) and (x0,,x0+δ), then x0 is an extremum point. Moreover, if f(x)>0 for x(x0δ,x0) and f(x)<0 for x(x0,x0+δ), then x0 is a maximum point, and if f(x)<0 for x(x0δ,x0) and f(x)>0 for x(x0,,x0+δ), then x0 is a minimum point. If f(x) maintains its sign for x(x0δ,x0+δ), xx0, then the point x0 is not an extremum point.

2. Let the function f(x) be twice differentiable at the critical point x0 and in some neighborhood of it. If f(x0)<0, then x0 is a maximum point of the function f(x), if f(x0)>0, then x0 is a minimum point. If f(x0)=0, additional investigations are required.

The greatest (smallest) value of a continuous function f(x) on a given interval [a,b] is achieved either at critical points or at the ends of the interval.

Examples:

For the specified functions, find the intervals of increase and decrease and the extremum points.

1. y=x1x2

Solution.

Let's find the domain of valid values of the function:

1x20x21x[1,1]

To find the intervals of increase and decrease of the function, let's calculate its derivative and find the intervals where it is of constant sign.

y=x1x2+x(1x2)=1x2+x(1x2)21x2= =1x22x221x2=1x2x21x2=12x21x2.

y=012x21x2=012x2=0x2=12 x1=12;x2=12.

y>012x21x2>012x2>0x2<12 $$\Rightarrow -\frac{1}{\sqrt 2}

y<012x21x2<012x2<0x2>12 x(;12)(12,).

Given the domain of validity x[1,12)(12,1].

At the point x1=12, the derivative y changes sign from "" to "+", therefore, at this point, the function has a minimum.. ymin(12)=12112=12. At the point x2=12, the derivative y changes sign from "+" to "", therefore, at this point, the function has a maximum. ymax(12)=12112=12.

Answer: On x[1,12)(12,1], the function decreases; on x(12,12), it increases; ymin(12)=12; ymax(12)=12.

2.y=x2sinx.

Solution.

Let's find the domain of valid values of the function:

x(,,)

To find the intervals of increase and decrease of the function, let's calculate its derivative and find the intervals where it is of constant sign.

y=x2(sinx)=12cosx

y=012cosx=0cosx=12x=±π3+2πk,kZ.

y>012cosx>0cosx<12 x(π3+2πk,5π3+2πk)kZ.

y<012cosx<0cosx>12 x(π3+2πk,π3+2πk)kZ.

At the points x=π3+2πk, where k is an integer, the derivative y changes sign from "" to "+", therefore, at these points, the function has a minimum.

ymin(π3+2πk)=π3+2πk232. At the points x=π3+2πk, where k is an integer, the derivative y changes sign from "+" to "", therefore, at these points, the function has a maximum.. ymax(π3+2πk)=π3+2πk+232.

Answer: On x(π3+2πk,,π3+2πk), where kZ, the function decreases; on x(π3+2πk,,5π3+2πk), where kZ, it increases; ymin(π3+2πk)=π3+2πk3; ymax(π3+2πk)=π3+2πk+3.

Determine the maximum and minimum values of the following functions on the specified intervals:

5.413. y=3x4+6x2;[2,,2].

Solution.

Let's find the extremum points of the given function on the interval [2,2] and the value of the function at the endpoints of this interval:

y=12x3+12x=12x(x2+1)=12x(x1)(1+x).

y=0x1=1,x2=0,x3=1.

y>0y(1,0)(1,);

y<0y(,1)(0,1).

The derivative y changes sign from "+" to "" at points x1=1 and x3=1; the derivative y changes sign from "" to "+" at point x2=0. Thus, at points x1=1 and x3=1, the function has a maximum, and at point x2=0, it has a minimum. Let's find the values of the function at all the found extremum points and at the endpoints of the given interval.

y(2)=316+64=24;

y(1)=31+61=3;

y(0)=0;

y(1)=31+61=3;

y(2)=316+64=24.

Choosing the maximum and minimum values, we get the answer.

Answer: m=ymin=24;,,M=ymax=3.

3. y=x1x+1;[0,4].

Solution.

Let's write down the domain of validity (ODZ) of the given function:

x+10x1.

Let's find the extremum points of the given function on the interval [0,4] and the value of the function at the endpoints of this interval:

y=(x1)(x+1)(x+1)(x1)(x+1)2=x+1(x1)(x+1)2=2(x+1)2.

It's obvious that 2(x+1)2>0 for all x[0,4]. Therefore, on the entire given interval, y>0.

Thus, on the interval [0,4], the function y(x) strictly increases and, therefore, has no extremum points. Let's find the values of the function at the endpoints of the given interval.

y(0)=11=1;

y(4)=414+1=35=0.6.

Choosing the maximum and minimum values, we get the answer.

Answer: m=ymin=1;,,M=ymax=0.6.

To prove the inequalities:

4. ex>1+x,x0.

Solution.

Let's examine the function y(x)=ex1x for monotonicity:

y(x)=ex1>0 when ex>1x>0;

y(x)<0 when ex<1x<0.

So, the function y(x)=ex1x increases when x>0 and decreases when x<0. Therefore, x=0 is a minimum point. Since at x=0 we have y(0)=e010=0, for all other values y(x)=ex1x>0,,ex>1+x.

Which proves the statement.

5. sinx+tanx>2x,x(0,π2).

Solution.

Let's examine the function y(x)=sinx+tanx2x for monotonicity:

y(x)=cosx+1cos2x2=cos3x2cos2x+1cos2x=cos2x(cosx2)+1cos2x= =cos2(2sin2x21)+cos2x+sin2xcos2x= =cos2x(2sin2x2)+sin2xcos2x=2cos2xsin2x2+4sin2x2cos2x2cos2x= =2sin2x2cos2x2(cos2x+2cos2x2)= =2sin2x2cos2x2((2cos2x21)+2cos2x2)=2sin2x2cos2x2>0.

So, the function y(x)=sinx+tanx2x increases over its entire domain, particularly when x(0,π2). Since at x=0, y(0)=sin0+tan020=0, and the function is continuous for x(0,π2), then y(x)=sinx+tanx2x>0sinx+tanx>2x for x(0,π2).

Which proves the statement.

6. Determine the largest area of a rectangle inscribed in a circle of radius r.

Solution.

Let the angles between the diagonals of the rectangle be 2φ and π2φ (φ(0,π2)). Then the lengths of the sides are rsinφ and rcosφ. Accordingly, the area of the rectangle is

S=S(φ)=rsinφrcosφ=12r2sin2φ.

Let's find the maximum area, we will determine the maximum of the function S(φ): S(φ)=12r22cos2φ=r2cos2φ. S(φ)=0r2cos2φ=02φ=π/2φ=π/4.

In this case S(φ)<0r2cos2φ<02φ=∈(π/2;π)φ(π/4;π/2) S(φ)>0r2cos2φ>⇒2φ(0,π/2)φ(0,π/4).

Therefore, when φ=π4, the function S(φ) reaches its maximum.

S(π/4)=12r2sin(2π4)=12r2sinπ2=r22.

Answer: r22.

Convexity Direction. Points of Inflection.

The graph of a differentiable function y=f(x) is said to be concave downward (or convex upward) on the interval (a,b) if the curve on this interval lies above the tangent drawn to the graph of the function y=f(x) at any point x(a,b).

If, on the interval (a,b), every tangent lies above the curve of the function, then the graph of the differentiable function on this interval is called concave upward (or convex downward) (on Fig. 1, the graph of the function y=f(x) is concave downward on the interval (a,x0) and convex upward on the interval (x0,b)).

Image

If a function is twice differentiable on (a,b) and f(x)>0 (f(x)<0), then its graph is concave downward (upward) on this interval.

In simple cases, the domain of the function f(x) can be divided into a finite number of intervals with a constant direction of concavity. Each of these intervals is bounded by points where f(x)=0 or f(x) does not exist. The point (x0,f(x0)) where the direction of concavity of the graph of the function changes to the opposite is called an inflection point (see Fig. 1).

Sufficient condition for an inflection point:

Let the function f(x) be twice differentiable in some neighborhood U0(x0) of the point x0 where f(x0)=0 or f(x0) does not exist. If, in the intervals (x0δ,x0) and (x0,x0+δ), the derivative f(x) has opposite signs, then x0 is an inflection point.

Examples:

Find the intervals of concavity of the graph of the function, inflection points, and the slopes of the tangents at the inflection points:

7 y=x7+7x+1.

Solution.

To find the intervals of concavity of the function, let's find its second derivative and investigate its sign:

y=(x7+7x+1)=(7x6+7)=42x5.

y=0x=0;

y>0x>0;

y<0x<0.

Thus, for x(0,+), the function y(x) is concave downward, for x(,0), the function y(x) is concave upward, and the point with coordinates x=0 is an inflection point.

y(0)=1. Therefore, the inflection point is (0,1).

Let's find the slope of the tangent at the inflection point:

k=y(0)=7.

Answer: For x(0,+), the function y(x) is concave downward, for x(,0), the function y(x) is concave upward, (0,1) is the inflection point; k=y(0)=7.

8. y=(x+1)23+(x1)23.

Solution.

Let's find the second derivative of the function y(x) and investigate its sign:

y=((x+1)23+(x1)23)=(23(x+1)13+23(x1)13)= =29(x+1)4329(x1)43=29((x+1)4/3+(x1)4/3).

y<0 for the entire domain. Therefore, the graph is concave upward everywhere.

Answer: The graph is concave upward everywhere.

9. y=x3lnx+1.

Solution.

Let's find the second derivative of the function y(x) and investigate its sign:

y=(3x2lnx+x2)=6xlnx+3x+2x=6xlnx+5x=x(6lnx+5).

y=0x1=0;x2=e5/6

y>0x>e5/6;

y<0x(0,e5/6).

Thus, for x(e5/6,+), the function y(x) is concave downward, for x(0,e5/6), the function y(x) is concave upward, and the point with coordinates x=e5/6 is an inflection point.

y(e5/6)=e15/6lne5/6+1=56e5/2+1. Therefore, the inflection point is (e5/6,56e15/6+1).

Let's find the slope of the tangent at the inflection point:

k=y(e5/6)=3e10/6lne5/6+e10/6=1563e5/3+e5/3=1.5e5/3.

Answer: For x(e5/6,+), the function y(x) is concave downward, for x(0,e5/6), the function y(x) is concave upward, the inflection point is at (e5/6,156e15/6); k=y(0)=1.5e5/3.

Tags: Convexity Direction, Extremum, Function analysis, Increasing and Decreasing Functions, Points of Inflection, Sufficient conditions for extremum, calculus, derivative, derivative table, mathematical analysis