ProofComplete

Integration - Key Proof

We present a detailed proof of the Fundamental Theorem of Calculus Part 1, demonstrating how differentiation and integration are inverse operations. This proof is central to understanding the theoretical foundation of calculus.

ProofFundamental Theorem of Calculus (Part 1)

Theorem: If ff is continuous on [a,b][a, b] and F(x)=axf(t)dtF(x) = \int_a^x f(t)\,dt, then F(x)=f(x)F'(x) = f(x) for all x(a,b)x \in (a, b).

Proof: We must show that limh0F(x+h)F(x)h=f(x)\lim_{h \to 0} \frac{F(x+h) - F(x)}{h} = f(x)

By definition of FF: F(x+h)F(x)=ax+hf(t)dtaxf(t)dtF(x+h) - F(x) = \int_a^{x+h} f(t)\,dt - \int_a^x f(t)\,dt

Using the additivity property of integrals: F(x+h)F(x)=xx+hf(t)dtF(x+h) - F(x) = \int_x^{x+h} f(t)\,dt

Therefore: F(x+h)F(x)h=1hxx+hf(t)dt\frac{F(x+h) - F(x)}{h} = \frac{1}{h}\int_x^{x+h} f(t)\,dt

Since ff is continuous at xx, for any ϵ>0\epsilon > 0, there exists δ>0\delta > 0 such that tx<δ    f(t)f(x)<ϵ|t - x| < \delta \implies |f(t) - f(x)| < \epsilon

For h<δ|h| < \delta and t[x,x+h]t \in [x, x+h] (assuming h>0h > 0; the case h<0h < 0 is similar): f(x)ϵ<f(t)<f(x)+ϵf(x) - \epsilon < f(t) < f(x) + \epsilon

Integrating these inequalities: xx+h[f(x)ϵ]dt<xx+hf(t)dt<xx+h[f(x)+ϵ]dt\int_x^{x+h} [f(x) - \epsilon]\,dt < \int_x^{x+h} f(t)\,dt < \int_x^{x+h} [f(x) + \epsilon]\,dt h(f(x)ϵ)<xx+hf(t)dt<h(f(x)+ϵ)h(f(x) - \epsilon) < \int_x^{x+h} f(t)\,dt < h(f(x) + \epsilon)

Dividing by h>0h > 0: f(x)ϵ<1hxx+hf(t)dt<f(x)+ϵf(x) - \epsilon < \frac{1}{h}\int_x^{x+h} f(t)\,dt < f(x) + \epsilon

This shows: F(x+h)F(x)hf(x)<ϵ\left|\frac{F(x+h) - F(x)}{h} - f(x)\right| < \epsilon

Since ϵ\epsilon was arbitrary, we conclude: limh0F(x+h)F(x)h=f(x)\lim_{h \to 0} \frac{F(x+h) - F(x)}{h} = f(x)

Therefore F(x)=f(x)F'(x) = f(x). \square

Remark

The proof relies critically on the continuity of ff. For discontinuous functions, the result may fail. The key insight is that over a small interval [x,x+h][x, x+h], a continuous function is approximately constant, so the integral is approximately hf(x)hf(x).

ProofFundamental Theorem of Calculus (Part 2) - Sketch

Theorem: If ff is continuous on [a,b][a, b] and FF is any antiderivative of ff, then abf(x)dx=F(b)F(a)\int_a^b f(x)\,dx = F(b) - F(a).

Proof Sketch: By Part 1, we know G(x)=axf(t)dtG(x) = \int_a^x f(t)\,dt is an antiderivative of ff.

Since FF is also an antiderivative of ff, we have F(x)=G(x)=f(x)F'(x) = G'(x) = f(x) for all x(a,b)x \in (a, b).

By the theorem on uniqueness of antiderivatives, F(x)=G(x)+CF(x) = G(x) + C for some constant CC.

Evaluating at x=ax = a: F(a)=G(a)+C=aaf(t)dt+C=0+C=CF(a) = G(a) + C = \int_a^a f(t)\,dt + C = 0 + C = C

Therefore C=F(a)C = F(a), so F(x)=G(x)+F(a)F(x) = G(x) + F(a).

Evaluating at x=bx = b: F(b)=G(b)+F(a)=abf(t)dt+F(a)F(b) = G(b) + F(a) = \int_a^b f(t)\,dt + F(a)

Rearranging: abf(t)dt=F(b)F(a)\int_a^b f(t)\,dt = F(b) - F(a) \quad \square

Remark

Part 2 follows from Part 1 combined with the fact that antiderivatives are unique up to a constant. This elegant connection shows that any method of finding antiderivatives (algebraic, by substitution, by parts, etc.) immediately gives us a way to evaluate definite integrals.

These proofs reveal the deep structure underlying calculus: the local operation of differentiation and the global operation of integration are perfect inverses when applied to continuous functions.