Mean Value Theorem for integrals

In summary, to prove the Mean Value Theorem for integrals, we can apply the Mean Value Theorem for derivatives to the function F(x) = ∫a^x f(t) dt. This is possible since F(x) is continuous on [a, b] and differentiable on (a, b) by the Fundamental Theorem of Calculus. The MVT for derivatives states that F(b) - F(a) = F'(c) (b-a) for some c in (a, b). By the FTC, F'(c) = f(c), which means that f(c) (b-a) = F(b) - F(a). Therefore, we can conclude that f(c) = (F(b
  • #1
bigplanet401
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Homework Statement



Prove the Mean Value Theorem for integrals by applying the Mean Value Theorem for derivatives to the function

[tex]
F(x) = \int_a^x \, f(t) \, dt
[/tex]

Homework Equations


[/B]
Mean Value Theorem for integrals: If f is continuous on [a, b], then there exists a number c in [a, b] such that

[tex]
\int_a^b \, f(x) \, dx = f(c) (b - a) \, .
[/tex]

Mean Value Theorem for derivatives, Fundamental Theorem of Calculus.

The Attempt at a Solution



Since the function f is continuous on [a, b], F(x) is continuous on [a, b] and differentiable on (a, b) by the FTC. The MVT for derivatives says

[tex]
F(b) - F(a) = F^\prime (c) (b - a) \quad \text{for} \, c \in (a, b) \, .
[/tex]

By FTC, F'(c) = f(c). Then f(c) (b - a) = F(b) - F(a). So

[tex]
f(c) = \frac{F(b) - F(a)}{b - a} = \frac{1}{b - a} \int_a^b \, f(x) \, dx
[/tex]

again by FTC.

What I don't understand is why the book says c can be equal to a or b...F is differentiable on the open interval (a, b), not [a, b]. But the book says the MVT for integrals permits c to lie anywhere in the closed interval [a, b].
 
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  • #2
You derived a slightly stronger result - there has to be a "c" in (a,b). That implies the weaker result of the existence of a "c" in [a,b].
 

What is the Mean Value Theorem for integrals?

The Mean Value Theorem for integrals is a fundamental theorem in calculus that states that for a continuous function f on a closed interval [a,b], there exists at least one point c in the interval where the average value of the function is equal to the value of the function at c. In other words, there exists a point where the slope of the secant line connecting the endpoints of the interval is equal to the slope of the tangent line at that point.

What is the significance of the Mean Value Theorem for integrals?

The Mean Value Theorem for integrals is significant because it allows us to make connections between the average value of a function and its instantaneous rate of change. This theorem also has important applications in physics and engineering, where it is used to find the average value of a quantity over a given interval.

How is the Mean Value Theorem for integrals related to the Mean Value Theorem for derivatives?

The Mean Value Theorem for integrals and the Mean Value Theorem for derivatives are both fundamental theorems in calculus that are closely related. The Mean Value Theorem for integrals states that there exists a point where the slope of the secant line is equal to the slope of the tangent line, while the Mean Value Theorem for derivatives states that there exists a point where the slope of the tangent line is equal to the slope of the secant line. In essence, these theorems are inverse versions of each other.

What are the conditions for the Mean Value Theorem for integrals to hold?

The Mean Value Theorem for integrals holds if the function is continuous on the closed interval [a,b] and differentiable on the open interval (a,b). Additionally, the function must also be integrable on the closed interval [a,b]. If these conditions are met, then the theorem guarantees the existence of a point c in the interval where the average value of the function is equal to the value of the function at c.

How can the Mean Value Theorem for integrals be applied in real-world situations?

The Mean Value Theorem for integrals has various real-world applications, particularly in physics and engineering. For example, it can be used to find the average velocity of an object over a given time interval, or the average rate of change of a chemical reaction over a certain period of time. It can also be used to calculate the average power output of a machine or the average flow rate of a fluid. In general, this theorem allows us to make connections between the average behavior of a system and its instantaneous behavior at a specific point.

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