18.01 Single Variable Calculus MIT OpenCourseWare Fall 2006

advertisement
MIT OpenCourseWare
http://ocw.mit.edu
18.01 Single Variable Calculus
Fall 2006
For information about citing these materials or our Terms of Use, visit: http://ocw.mit.edu/terms.
Lecture 19
18.01 Fall 2006
Lecture 19: First Fundamental Theorem of
Calculus
Fundamental Theorem of Calculus (FTC 1)
If f (x) is continuous and F � (x) = f (x), then
� b
f (x)dx = F (b) − F (a)
a
�b
�x=b
�
�
Notation: F (x) � = F (x) �
= F (b) − F (a)
a
x=a
x3
Example 1. F (x) =
, F � (x) = x2 ;
3
�
b
a
�b
x3 ��
b3
a3
x dx =
=
−
3 �a
3
3
2
Example 2. Area under one hump of sin x (See Figure 1.)
� π
�π
�
sin x dx = − cos x � = − cos π − (− cos 0) = −(−1) − (−1) = 2
0
0
1
�
Figure 1: Graph of f (x) = sin x for 0 ≤ x ≤ π.
�
Example 3.
0
1
�1
x6 ��
1
1
x dx =
= −0=
6 �0
6
6
5
1
Lecture 19
18.01 Fall 2006
Intuitive Interpretation of FTC:
v(t) = x� (t) =
x(t) is a position;
dx
is the speed or rate of change of x.
dt
b
�
v(t)dt = x(b) − x(a)
(FTC 1)
a
R.H.S. is how far x(t) went from time t = a to time t = b (difference between two odometer readings).
L.H.S. represents speedometer readings.
n
�
v (ti )Δt
approximates the sum of distances traveled over times Δt
i=1
The approximation above is accurate if v (t) is close to v (ti ) on the ith interval. The interpretation
of x(t) as an odometer reading is no longer valid if v changes sign. Imagine a round trip so that
x(b) − x(a) = 0. Then the positive and negative velocities v(t) cancel each other, whereas an
odometer would measure the total distance not the net distance traveled.
�
Example 4.
0
2π
�2π
�
sin x dx = − cos x � = − cos 2π − (− cos 0) = 0.
0
The integral represents the sum of areas under the curve, above the x-axis minus the areas below
the x-axis. (See Figure 2.)
1
+
2�
-
Figure 2: Graph of f (x) = sin x for 0 ≤ x ≤ 2π.
2
Lecture 19
18.01 Fall 2006
Integrals have an important additive property (See Figure 3.)
�
b
�
f (x)dx +
a
c
�
f (x)dx =
b
c
f (x)dx
a
a
b
c
Figure 3: Illustration of the additive property of integrals
New Definition:
�
a
b
�
f (x)dx = −
b
f (x)dx
a
This definition is used so that the fundamental theorem is valid no matter if a < b or b < a. It also
makes it so that the additive property works for a, b, c in any order, not just the one pictured in
Figure 3.
3
Lecture 19
18.01 Fall 2006
Estimation:
b
�
If f (x) ≤ g(x), then
b
�
f (x)dx ≤
g(x)dx (only if a < b)
a
a
Example 5. Estimation of ex
Since 1 ≤ ex for x ≥ 0,
�
1
1
�
ex dx
1dx ≤
0
1
�
0
�1
�
ex dx = ex � = e1 − e0 = e − 1
0
0
Thus 1 ≤ e − 1, or e ≥ 2.
Example 6. We showed earlier that 1 + x ≤ ex . It follows that
� 1
� 1
(1 + x)dx ≤
ex dx = e − 1
0
�
0
1
�
(1 + x)dx =
0
Hence,
��1
3
x2 ��
x+
=
2 �0
2
3
5
≤ e − 1,or, e ≥ .
2
2
Change of Variable:
If f (x) = g(u(x)), then we write du = u� (x)dx and
�
�
�
�
g(u)du = g(u(x))u (x)dx = f (x)u� (x)dx
For definite integrals:
� x2
f (x)u� (x)dx =
�
x1
�
Example 7.
2
(indefinite integrals)
u2
g(u)du
where u1 = u(x1 ), u2 = u(x2 )
u1
� 3
�4
x + 2 x2 dx
1
Let u = x3 + 2.
Then du = 3x2 dx =⇒ x2 dx =
du
;
3
x1 = 1, x2 = 2 =⇒ u1 = 13 + 2 = 3, u2 = 23 + 2 = 10, and
�10
� 2
� 10
� 3
�4
du
u5 ��
105 − 35
x + 2 x2 dx =
u4
=
=
�
3
15 3
15
1
3
4
Download