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Calculus I / The Integral

The Fundamental Theorem of Calculus

The Fundamental Theorem of Calculus (FTC) is the result that makes calculus a unified discipline. Without it, computing definite integrals requires evaluating limits of Riemann sums — tedious for every new function. With it, computing ∫abf(x) dx\int_a^b f(x)\,dx reduces to evaluating any antiderivative FF at two points: F(b)−F(a)F(b) - F(a). This one theorem is the bridge between differentiation (Topic 3) and integration (Topics 5–7).

In finance, the FTC is at work whenever you move from a continuous rate to a total: the total log-return ∫0Tr(t) dt\int_0^T r(t)\,dt, the total discounted cash flow ∫0TC(t)e−rt dt\int_0^T C(t)e^{-rt}\,dt, the accumulated variance ∫0Tσ2(t) dt\int_0^T \sigma^2(t)\,dt in stochastic volatility models. Every such computation is an application of FTC Part II.

Learning objectives. By the end of this note you should be able to:
  • state FTC Part I: ddx∫axf(t) dt=f(x)\frac{d}{dx}\int_a^x f(t)\,dt = f(x), and apply it to differentiate area functions;
  • state FTC Part II: ∫abf(x) dx=F(b)−F(a)\int_a^b f(x)\,dx = F(b) - F(a), and use it to evaluate definite integrals;
  • explain in words why Part I holds (via the increment-over-hh argument);
  • apply the chain rule when the upper limit is a composite function (e.g. ddx∫ax2f(t) dt\frac{d}{dx}\int_a^{x^2} f(t)\,dt);
  • distinguish FTC Part I (a derivative) from FTC Part II (an evaluation).

In this lesson

  1. FTC Part I: differentiating an area function
  2. FTC Part II: the evaluation theorem
  3. Evaluating definite integrals with FTC Part II
  4. The symmetry of the FTC
  5. Common errors

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