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This module covers two important theorems, including the fundamental theorem of calculus.

We begin this section with a result that is certainly not a surprise, but we will need it at various places in later proofs, so it's good to state it precisely now.

Suppose f I ( [ a , b ] ) , and suppose a < c < b . Then f I ( [ a , c ] ) , f I ( [ c , b ] ) , and

a b f = a c f + c b f .

Suppose first that h is a step function on [ a , b ] , and let P = { x 0 < x 1 < ... < x n } be a partition of [ a , b ] such that h ( x ) = a i on the subinterval ( x i - 1 , x i ) of P . Of course, we may assume without loss of generality that c is one of the points of P , say c = x k . Clearly h is a step function on both intervals [ a , c ] and [ c , b ] .

Now, let Q 1 = { a = x 0 < x 1 < ... < c = x k } be the partition of [ a , c ] obtained by intersecting P with [ a , c ] , and let Q 2 = { c = x k < x k + 1 < ... < x n = b } be the partition of [ c , b ] obtained by intersecting P with [ c , b ] . We have that

a b h = S P ( h ) = i = 1 n a i ( x i - x i - 1 ) = i = 1 k a i ( x i - x i - 1 ) + i = k + 1 n a i ( x i - x i - 1 ) = S Q 1 ( h ) + S Q 2 ( h ) = a c h + c b h ,

which proves the theorem for step functions.

Now, write f = lim h n , where each h n is a step function on [ a , b ] . Then clearly f = lim h n on [ a , c ] , which shows that f I ( [ a , c ] ) , and

a c f = lim a c h n .

Similarly, f = lim h n on [ c , b ] , showing that f I ( [ c , b ] ) , and

c b f = lim c b h n .

Finally,

a b f = lim a b h n = lim ( a c h n + c b h n ) = lim a c h n + lim c b h n = a c f + c b f ,

as desired.

I's time for the trumpets again! What we call the Fundamental Theorem of Calculuswas discovered by Newton and Leibniz more or less simultaneously in the seventeenth century, and it is without doubt the cornerstone of all we call mathematical analysis today.Perhaps the main theoretical consequence of this theorem is that it provides a procedure for inventing “new” functions. Polynomials are rather naturalfunctions, power series are a simple generalization of polynomials, and then what? It all came down to thinking of a function of a variable x as being the area beneath a curve between a fixed point a and the varying point x . By now, we have polished and massaged these ideas into a careful, detailed development of the subject, which has substantially obscured the originalingenious insights of Newton and Leibniz. On the other hand, our development and proofs are complete, while theirs were based heavily on their intuition.So, here it is.

Fundamental theorem of calculus

Suppose f is an arbitrary element of I ( [ a , b ] ) . Define a function F on [ a , b ] by F ( x ) = a x f . Then:

  1.   F is continuous on [ a , b ] , and F ( a ) = 0 .
  2. If f is continuous at a point c ( a , b ) , then F is differentiable at c and F ' ( c ) = f ( c ) .
  3. Suppose that f is continuous on [ a , b ] . If G is any continuous function on [ a , b ] that is differentiable on ( a , b ) and satisfies G ' ( x ) = f ( x ) for all x ( a , b ) , then
    a b f ( t ) d t = G ( b ) - G ( a ) .

REMARK Part (2) of this theorem is the heart of it, the great discovery of Newton and Leibniz,although most beginning calculus students often think of part (3) as the main statement. Of course it is that third part that enables us to actually compute integrals.

Because f I ( [ a , b ] ) , we know that f I ( [ a , x ] ) for every x [ a , b ] , so that F ( x ) at least is defined.

Also, we know that f is bounded; i.e., there exists an M such that | f ( t ) | M for all t [ a , b ] . Then, if x , y [ a , b ] with x y , we have that

| F ( x ) - F ( y ) | = | a x f - a y f | = | a y f + y x f - a y f | = | y x f | y x | f | y x M = M ( x - y ) ,

so that | F ( x ) - F ( y ) | M | x - y | < ϵ if | x - y | < δ = ϵ / M . This shows that F is (uniformly) continuous on [ a , b ] . Obviously, F ( a ) = a a f = 0 , and part (1) is proved.

Next, suppose that f is continuous at c ( a , b ) , and write L = f ( c ) . Let ϵ > 0 be given. To show that F is differentiable at c and that F ' ( c ) = f ( c ) , we must find a δ > 0 such that if 0 < | h | < δ then

| F ( c + h ) - F ( c ) h - L | < ϵ .

Since f is continuous at c , choose δ > 0 so that | f ( t ) - f ( c ) | < ϵ if | t - c | < δ . Now, assuming that h > 0 for the moment, we have that

F ( c + h ) - F ( c ) = a c + h f - a c f = a c f + c c + h f - a c f = c c + h f ,

and

L = c c + h L h .

So, if 0 < h < δ , then

| F ( c + h ) - F ( c ) h - L | = | c c + h f ( t ) d t h - c c + h L h | = | c c + h ( f ( t ) - L ) d t h | c c + h | f ( t ) - L | d t h = c c + h | f ( t ) - f ( c ) | d t h c c + h ϵ h = ϵ ,

where the last inequality follows because for t [ c , c + h ] , we have that | t - c | h < δ . A similar argument holds if h < 0 . (See the following exercise.) This proves part (2).

Suppose finally that G is continuous on [ a , b ] , differentiable on ( a , b ) , and that G ' ( x ) = f ( x ) for all x ( a , b ) . Then, F - G is continuous on [ a , b ] , differentiable on ( a , b ) , and by part (2) ( F - G ) ' ( x ) = F ' ( x ) - G ' ( x ) = f ( x ) - f ( x ) = 0 for all x ( a , b ) . It then follows from [link] that F - G is a constant function C , whence,

G ( b ) - G ( a ) = F ( b ) + C - F ( a ) - C = F ( b ) = a b f ( t ) d t ,

and the theorem is proved.

  1. Complete the proof of part (2) of the preceding theorem; i.e., take care of the case when h < 0 . HINT: In this case, a < c + h < c . Then, write a c f = a c + h f + c + h c f .
  2. Suppose f is a continuous function on the closed interval [ a , b ] , and that f ' exists and is continuous on the open interval ( a , b ) . Assume further that f ' is integrable on the closed interval [ a , b ] . Prove that f ( x ) - f ( a ) = a x f ' for all x [ a , b ] . Be careful to understand how this is different from the Fundamental Theorem.
  3. Use the Fundamental Theorem to prove that for x 1 we have
    ln ( x ) = F ( x ) 1 x 1 t d t ,
    and for 0 < x < 1 we have
    ln ( x ) = F ( x ) - x 1 1 t d t .
    HINT: Show that these two functions have the same derivative and agree at x = 1 .

Questions & Answers

Three charges q_{1}=+3\mu C, q_{2}=+6\mu C and q_{3}=+8\mu C are located at (2,0)m (0,0)m and (0,3) coordinates respectively. Find the magnitude and direction acted upon q_{2} by the two other charges.Draw the correct graphical illustration of the problem above showing the direction of all forces.
Kate Reply
To solve this problem, we need to first find the net force acting on charge q_{2}. The magnitude of the force exerted by q_{1} on q_{2} is given by F=\frac{kq_{1}q_{2}}{r^{2}} where k is the Coulomb constant, q_{1} and q_{2} are the charges of the particles, and r is the distance between them.
Muhammed
What is the direction and net electric force on q_{1}= 5µC located at (0,4)r due to charges q_{2}=7mu located at (0,0)m and q_{3}=3\mu C located at (4,0)m?
Kate Reply
what is the change in momentum of a body?
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Capacitor is a separation of opposite charges using an insulator of very small dimension between them. Capacitor is used for allowing an AC (alternating current) to pass while a DC (direct current) is blocked.
Gautam
A motor travelling at 72km/m on sighting a stop sign applying the breaks such that under constant deaccelerate in the meters of 50 metres what is the magnitude of the accelerate
Maria Reply
please solve
Sharon
8m/s²
Aishat
What is Thermodynamics
Muordit
velocity can be 72 km/h in question. 72 km/h=20 m/s, v^2=2.a.x , 20^2=2.a.50, a=4 m/s^2.
Mehmet
A boat travels due east at a speed of 40meter per seconds across a river flowing due south at 30meter per seconds. what is the resultant speed of the boat
Saheed Reply
50 m/s due south east
Someone
which has a higher temperature, 1cup of boiling water or 1teapot of boiling water which can transfer more heat 1cup of boiling water or 1 teapot of boiling water explain your . answer
Ramon Reply
I believe temperature being an intensive property does not change for any amount of boiling water whereas heat being an extensive property changes with amount/size of the system.
Someone
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Someone
temperature for any amount of water to boil at ntp is 100⁰C (it is a state function and and intensive property) and it depends both will give same amount of heat because the surface available for heat transfer is greater in case of the kettle as well as the heat stored in it but if you talk.....
Someone
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ALIYU
field is a region of space under the influence of some physical properties
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WISDOM
Another formula for Acceleration
Belty Reply
a=v/t. a=f/m a
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Two bodies attract each other electrically. Do they both have to be charged? Answer the same question if the bodies repel one another.
JALLAH Reply
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Dlovan
Are you really asking if two bodies have to be charged to be influenced by Coulombs Law?
Robert
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Raymond
What is specific heat capacity
Destiny Reply
Specific heat capacity is a measure of the amount of energy required to raise the temperature of a substance by one degree Celsius (or Kelvin). It is measured in Joules per kilogram per degree Celsius (J/kg°C).
AI-Robot
specific heat capacity is the amount of energy needed to raise the temperature of a substance by one degree Celsius or kelvin
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Source:  OpenStax, Analysis of functions of a single variable. OpenStax CNX. Dec 11, 2010 Download for free at http://cnx.org/content/col11249/1.1
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