Higher_Mathematics_Part_1
.pdfConclusion. If a function has the relative extremum at the point, then this point is critical. But not every critical point is a point of extremum.
Theorem 3.18 |
(first sufficient condition of relative extremum). Let x0 be |
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critical point of the function f (x) . Suppose there exists neigh- |
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bourhood (x0 − δ; x0 + δ) |
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point x0 , in which |
a function has a |
derivative |
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f ′(x) except, probably, point |
x0 . Then: |
f ′(x) > 0 and on the interval |
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1) if on the interval (x0 − δ; x0 ) the derivative |
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(x0 ; x0 + δ) the derivative f ′(x) < 0 then the point x0 is the point of relative |
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maximum of the function |
f (x) ; |
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2) if on the interval (x0 − δ; x0 ) the derivative |
f ′(x) < 0 and on the interval |
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(x0 ; x0 + δ) the |
derivative f ′(x) > 0 , then the point x0 is the point |
of relative |
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minimum of function f (x) ; |
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3) if on both intervals |
(x0 − δ; x0 ) and (x0 ; x0 + δ) the derivative |
f ′(x) has |
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the same sign, then the point |
x0 is not the extreme point of function f (x) . |
In other words, if when passing the critical point x0 from right to left the sing of the derivative f ′(x) has changed from plus to minus, then x0 is the
point of relative maximum, if the sing of the derivative changes from minus to plus, then point x0 is point of relative minimum, if the derivative does not
change the sing, then in point x0 extremum is absent.
The rule for investigation of extremum of the function
For finding relative extremum of function f (x) it is needed:
1) to find the critical points of the function f (x) . For this it is necessary to solve the equation f ′(x) = 0 and from its solutions we must to select that,
which belongs to the domain of existence of function; find points in which the derivative does not exist;
2)if the critical point exists, it is needed to investigate the sing of derivative at all intervals, on which the domain of existence is divided by these critical points. For this purpose it is enough to determine the sign at any point of this interval, because the derivative can change its sign only when passing the critical point;
3)after changing the sign f ′(x) when passing the critical points from left
to right to define the points of maximum and minimum. When it is necessary to define the meaning of the function f (x) in these points.
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Theorem 3.19 |
(the second sufficient condition for relative extremum). Let |
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x0 be fixed point of the function f (x) , so f ′(x0 ) = 0 and in |
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neighbourhood of point x0 there exists second derivative, so that f ′′(x0 ) ≠ 0 . If f ′′(x0 ) > 0 , then x0 is the point of relative minimum, if f ′′(x0 ) < 0 , then x0 is the point of relative maximum.
22.2 The greatest and the least values of the function
The most important is not to confuse the local maximum (minimum) with the greatest (least) value of the function, which reaches on a definite segment. The function may have several local maximum and minimum , when the greatest value (it can also be named as absolute maximum), if it exists, unique. The same is true about the least value (absolute minimum) of the function.
To find the greatest and the least values of the function y = f (x) on the interval [a; b] it is necessary:
1)to find the derivative f ′(x) and determine the critical points of the given function;
2)to calculate the value of the function on those critical points, which belong to the interval (a; b) , and also in points a and b ;
3)to select between the obtained values the greatest and the least values.
22.3. The concavity of the curve. The inflection points
Definition 3.27. Curve y = f (x) is called concave down on the interval (a; b) , if all its points, besides the tangent point, lie below its any tangent lines on the interval (Fig.3.25).
Definition 3.28. The curve y = f (x) is called concave up on the interval (a; b) , if all its points, besides the tangent point, lie above its any tangent lines
on the interval (Fig.3.26).
The inflection point is such a point of the curve, which marks out its parts of concavity (Fig.3.27).
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Fig. 3.26 |
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Fig. 3.27 |
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For investigation of the graph of a function on the intervals for concavity the second derivative of a function is used.
Theorem 3.20 |
Let function y = f (x) be twice |
differentiable on |
interval |
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(a; b) . Then: |
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1) if |
f ′′(x) < 0 , x (a; b) , then the graph of function y = f (x) is concave |
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down on interval (a; b) ; |
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2) if |
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> 0 , x (a; b) , then the curve y |
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up on |
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interval (a; b) .
From the theorem it comes, that at the inflection point the second derivative is equal to zero, if it exists. But the inflection points of the curve y = f (x) may
be the points, in which the second derivative f ′(x) does not exist (for example point x = 0 of the curve f (x) = 5 x ).
Points in which the second derivative f ′(x) is equal to zero or does not exist, are called the critical points of the second type of the function y = f (x) . So, if x0 is abscissa of inflection point, then x0 is critical point of the second
type of this function. The opposite statement is incorrect.
Let’s formulate sufficient conditions of existence of inflection point.
Theorem 3.21 Let x0 be the critical point of the second type of function f (x) . If passing the point x0 f ′′(x) changes its sign, then
point (x0 ; f (x0 )) is the inflection point of the curve f (x) .
22.4. Asymptotes of the curve
There exist three types of asymptotes: vertical, inclined, horizontal. The straight line x = c is vertical asymptote (Fig. 3.28), if
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x → c + 0 |
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x → c − 0 |
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The straight line |
y = kx +b is inclined asymptote (fig.3.29), if the following |
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finite limits exist |
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lim |
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lim ( f (x) − kx) = b . |
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x → ∞ |
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Remember, if it |
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the case as x → +∞ so and |
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When lim |
f (x) = b ( lim f (x) = b) , then straight line y = b is called |
x → +∞ |
x → −∞ |
a horizontal asymptote of graph of a function y = f (x) (Fig.3.30).
It is clear, that horizontal asymptote is separate case of inclined asymptote ( k = 0 ).
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Fig.3.28 |
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Fig.3.29 |
Fig.3.30 |
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22.5. Scheme of investigation of the graph. Constructing the graphs of functions
For investigation of the function and constructing the graph it is necessary:
1)to find the domain of existence of a function;
2)to find (if it is possible) the points of intersection of a graph with the coordinate axes;
3)to test a function on periodic, odd and even check. It should be noted, that graph of even function is symmetric relatively to axis of ordinates, and graph of odd function is symmetric relatively to the origin;
4)to find the points of discontinuity and set there characteristics;
5)to find the monotony intervals, the local extremum points and the value of a function at these points;
6)to find the intervals of convexity and concavity, and the inflection points;
7)to find the asymptote of the curve;
8)to investigate the behavior of a function in infinite remote points;
9)to calculate if it is necessary the value of a function in several control
points;
10)to sketch the graph of a function.
Micromodule 22
EXAMPLES OF PROBLEMS SOLUTION
Example 1. Find intervals of increasing and decreasing of the function
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+1 |
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Solution. The domain is (−∞;1) (1;+∞) . Find the derivative
f ′(x) = |
2x(x − 1)2 − 2(x − 1)(x 2 + 1) |
= − |
2(x +1) |
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(x − 1)4 |
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The derivative f ′(x) is equal to zero at the point |
x = −1and it doesn’t exist |
if x =1 . So, x =−1; 1 are critical points of a given function.
Let’s denote these points at the numerical axis (and we should remember about the domain of a function) and define the sign of derivative at each interval (Fig. 3.31):
f ′( x) : |
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f ( x) : |
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Fig. 3.31
In such case, the function decreases, if x (−∞;1) (1;+∞) , and increases at the interval (−1; 1) .
Example 2. Find the local extremums of the function f (x) = x −x5 / 5 .
Solution. The domain is (−∞; ∞) . Let’s find the critical points:
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− x |
4 |
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if |
(1 + x)(1 − x)(1 + x |
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f (x) = 1 |
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, f (x) = 0 |
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So, points |
x = ±1 are the |
critical (stationary) |
points. Define signs of a |
derivative at the intervals (Fig. 3.32):
f ′( x) : |
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f ( x) : |
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Fig. 3.32
As we can see on Fig. 3.32 within the intervals (−∞;−1) , (1;+∞) the function decreases but at the interval (−1; 1) it increases. By the theorem 3.18 we can make a conclusion that x =−1is a point of relative minimum; x =1 is a point of relative maximum, and ymin = y(−1) = −4 / 5 , ymax = y(1) = 4 / 5 .
Example 3. Find the relative extremums of the function f (x) = |
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x2 |
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Solution. The domain is (−∞;−2) (−2;+∞) . Let’s find the critical points:
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−1/ 3 |
(x + |
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2 / 3 |
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f ′(x) = |
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3(x + 2)2 |
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2x + 4 − 3x |
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x − 4 |
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33 x (x + 2)2 |
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33 x (x + 2)2 |
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Equation f ′(x) = 0 has a unique root x = 4 . The derivative doesn’t exist at
the points x = −2 and |
x = 0. |
Thus, |
at the |
point |
x = −2 the function is |
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undefined, but at the point |
x = 0 it is defined. Let’s define signs of derivative at |
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each interval (Fig. 3.33): |
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f ′( x) : |
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f ( x) : |
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Fig. 3.33 |
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With conversion through the point |
x = 0 |
from the left to the right, the |
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derivative changes the sign from minus to plus. On the interval (−2; 0) the |
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function decreases, but on the interval |
(0; 4) the function increases. Therefore |
x = 0 is the point of relative minimum. By analogy we are sure, that x = 4 is the
point of relative maximum. The point |
x = −2 isn’t the critical point (at this |
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point the function isn’t defined). |
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Example 4. Investigate the function |
y = 3x4 −4x3 −12x2 +2 on extremum. |
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Solution. The domain is (−∞;+∞) . The derivative of the given function |
is |
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y′ = 12x3 − 12x 2 − 24x. Solve the equation f ′(x) = 0 : |
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12x3 −12x2 −24x = 0 ; 12x(x2 −x −2) = 0 ; |
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x1 = −1 , x2 = 0 , x3 = 2 are stationary points. |
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The second derivative is y′′ = 36x 2 − 24x − 24 = 12(3x 2 − 2x − 2). |
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define the sing y′′ at the stationary points: |
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y′′(−1) = 12(2 + 2 − 2) = 36 > 0 , y′′(0) = −24 < 0, y′′(2) = 72 > 0. |
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By the theorem 3.19 we can make a conclusion that x1 = −1 and x3 = 2 are points of relative minimum and x2 = 0 is the point of relative maximum.
Example 5. Investigate the function f (x) = sin2 x −x2 +1 on extremum at the point x = 0 .
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Solution. We have:
f ′(x) = sin 2x − 2x, |
f ′(x) = 0 ; |
f ′′(x) = 2 cos 2x − 2, |
f ′(x) = 0 ; |
f ′′′(x) = −4 sin 2x, |
f ′(x) = 0 ; |
f (4) (x) = −8cos 2x, |
f (4) (0) = −8 < 0 . |
So, the given function at the point x = 0 has the relative maximum. Example 6. Find the greatest and the least values of the function y = x2 ln x
on the interval [1; e] .
Solution. Let’s find the derivative
y′ = 2x ln x + x = x(2 ln x + 1).
As far as the function is defined when x > 0 , so the critical point we find
from the condition 2 ln x +1= 0 , so x = e−0.5 = 1 e
to the interval [1; e] . So let’s evaluate only the values of the function at the ends
of interval. We have: |
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y(1) = 0, |
y(e) = e2 . |
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Therefore, |
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f (x) = f (e) = e2 , min |
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f (x) = f (1) = 0. |
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Example 7. Find the greatest and the least values of the function y = |
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Solution. Let’s find the critical points: |
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x 2 + 3 − 2x(x + 1) |
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− x 2 − 2x + 3 |
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The point |
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f (x ) = f (1) |
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f (3) = |
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Example 8. Find intervals of convexity and concavity and inflection points of the curve f (x) = 3x4 −4x3 +1 .
Solution. Let’s find derivatives:
f ′(x) = 12x3 − 12x 2 ,
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f ′′(x) = 36x |
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− 24x = 36x x − |
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Solve the equation f ′′(x) = 0, |
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critical points of the second type. We define the sign of the second derivative: if
x < 0 , then f ′(x) > 0 and the curve is concave up; |
if x is within the interval |
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2/3), |
then f ′(x) < 0 and the curve is concave |
down; if x > 2 / 3 , |
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f ′(x) > 0 and the curve is concave up. At transition through points x1 = 0 |
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the second derivative changes its sign. It follows that points (0; f (0)) |
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and (2 / 3; f (2 / 3)) ,( so (0;1) and (2 / 3;11/ 27) ) are the inflection points of the given curve.
Example 9. Find the asymptotes of the curve y = x3 + x2 +1 . x2
Solution. Let’s write the equation of the given curve as following:
y = x +1+ 1 . x2
We find the equation of inclined asymptote in such a form y = kx +b . We receive
k = lim |
f (x) |
= lim |
x + 1+ 1 x2 |
= lim (1 |
+ 1 |
+ |
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x→∞ |
x→∞ |
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b = lim ( f (x) − kx) = lim (x + 1+ 1 x2 |
− x) = lim (x + 1 x2 ) = 1. |
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x→∞ |
x→∞ |
x→∞ |
So, y = x +1is the equation of inclined asymptote. Further, as the function
y = x +1+ |
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at the point x = 0 has the discontinuity of the second type, then |
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the straight line x = 0 is the vertical asymptote of the given curve. The curve |
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x→∞ |
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Example 10. Investigate the function y = |
x2 |
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and construct its graph. |
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−1 |
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Solution. 1) The domain of existence is the whole numerical axis, except the point x =1 , so
2) The graph of the function y = f (x) intersects the axis of ordinates (if it’s possible) at the point (0; f (0)) . We find y(0) = −1 , so A(0;−1) is the point of
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intersection of the curve with the axis Oy . To find points of intersection of the
graph with the axis Ox , it is necessary to solve the equation y = 0 , |
x2 |
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This equation doesn’t have real roots, so given function doesn’t intersect the
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3) The function |
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f (−x) = |
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function is neither even nor odd. |
x =1 has discontinuity of the second type, and |
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4) The function at the point |
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lim |
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lim = |
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5) We find the derivative |
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x2 − 2x − 1 |
and solve |
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the equation |
y′ = 0 , or x2 −2x −1 = 0 . We get stationary points |
x = 1− |
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x2 = 1+ |
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Besides, |
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derivative |
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undefined when |
x =1 . |
So, |
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x1 = 1− |
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x2 = 1+ |
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x3 =1are critical |
points |
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or |
points of probable |
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extremum. These points dissect a numerical axis on four intervals (−∞; 1− |
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(1− 2; 1) , |
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(1; 1+ |
2) , |
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2; ∞) . |
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each of |
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intervals |
the |
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derivative y′ |
has particular sign, which we can put by the method of intervals or |
calculation of values of the derivative in different points (in one point from each interval). On intervals (−∞; 1− 2) , (1+ 2; ∞) the derivative is positive, so
the function increases; if x (1− 2; 1) (1; 1+ 2), then the function decreases, because on these intervals the derivative is negative. At transition through the point x1 = 1− 2 (from the left to the right) the derivative changes
the sign from plus to minus, so, at this point the function has the relative maximum. Then
ymax = y(1− |
2) = |
(1− |
2)2 + 1 |
= 2 |
− 2 2 . |
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At transition through the point x2 = |
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from minus to plus, so, at this point there |
is relative minimum, and |
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259 |