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The Fundamental Theorem of Calculus in Analysis 📂Analysis

The Fundamental Theorem of Calculus in Analysis

Theorem1

Given that function ff is Riemann integrable on the interval [a,b][a,b], and there exists a function FF that is differentiable on [a,b][a,b], satisfying F=fF^{\prime}=f. Then, the following holds true.

abf(x)dx=F(b)F(a) \int_{a}^{b} f(x) dx= F(b)-F(a)

Explanation

This theorem is famously known as the Fundamental Theorem of Calculus Part 2, often abbreviated as FTC2[^Funcamental Theorem of Calculus1]. It implies that the definite integral of ff is represented by the difference of the values of the antiderivative FF at the endpoints.

Proof

Assuming ε>0\varepsilon >0 is given. Since ff is integrable on [a,b][a,b], by the necessary and sufficient condition, there exists a partition P={a=x0,,xn=b}P=\left\{a= x_{0}, \cdots, x_{n}=b \right\} of interval [a,b][a,b] that satisfies the following.

U(P,f)L(P,f)<ε U(P,f)-L(P,f) < \varepsilon

Since FF is assumed to be differentiable, hence continuous, by the Mean Value Theorem, there exists a ti[xi1,xi]t_{i}\in [x_{i-1},x_{i}] that satisfies the following.

F(xi)F(xi1)=f(ti)Δxi,(i=1,,n) F(x_{i})-F(x_{i-1})=f(t_{i})\Delta x_{i},\quad (i=1,\dots,n)

Adding the above equation for all ii, we get:

i=1nf(ti)Δxi=(F(b)F(xn1))++(F(x1)F(a))=F(b)F(a) \begin{align*} \sum \limits _{i=1} ^{n} f(t_{i})\Delta x_{i}&=\left( F(b)-F(x_{n-1}) \right)+\cdots+\left( F(x_{1})-F(a) \right) \\ &= F(b) -F(a) \end{align*}

Auxiliary Lemma

i=1nf(ti)Δαiabf(x)dα(x)<ε \left| \sum \limits_{i=1} ^{n} f(t_{i})\Delta \alpha_{i} - \int _{a} ^{b}f (x)d\alpha (x) \right| < \varepsilon

By the above auxiliary lemma, the following is true.

i=1nf(ti)Δαiabf(x)dα(x)=(F(b)F(a))abf(x)dα(x)<ε \begin{align*} \left| \sum \limits _{i=1} ^{n} f(t_{i})\Delta \alpha_{i} - \int _{a} ^{b}f (x)d\alpha (x) \right| &= \left|\big( F(b)-F(a) \big) - \int _{a} ^{b}f (x)d\alpha (x) \right| \\ &< \varepsilon \end{align*}

Here, since ε\varepsilon is arbitrary positive number, we obtain:

abf(x)dα(x)=F(b)F(a) \int _{a} ^{b}f (x)d\alpha (x)=F(b)-F(a)

See Also


  1. Walter Rudin, Principles of Mathmatical Analysis (3rd Edition, 1976), p134 ↩︎