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Fundamental Theorem of Calculus

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Why This Matters

The Fundamental Theorem of Calculus bridges the concepts of differentiation and integration, forming a cornerstone of modern calculus. Its proof and understanding enable advancements in fields like engineering, physics, and computer science, impacting how we model and analyze continuous systems. For consumers, this theorem underpins many technological innovations, from signal processing to machine learning algorithms.

Key Takeaways

April 22, 2026

Fundamental Theorem of Calculus

Although the notion of area is intuitive, its mathematical treatment requires a rigorous definition. This post introduces the Riemann integral, and proves the fundamental theorem of calculus—a beautiful result that connects integrals and derivatives.

Riemann integral §

Given a bounded1 function \(f:[a,b]\to\mathbb{R}\), we can approximate the area under its graph by rectangles. Choose a partition of its domain

\[ \mathcal{P}=\{x_0,x_1,\ldots,x_n\mid a=x_0<x_1<\cdots<x_n=b\}. \]

For each subinterval \([x_{k-1},x_k]\), define the width \(\Delta x_k=x_k-x_{k-1}\), and let \(m_k\) and \(M_k\) denote the infimum and supremum of \(f\) on that subinterval. The lower and upper sums are

\[ L(f,\mathcal{P})=\sum_{k=1}^{n}m_k\Delta x_k, \qquad U(f,\mathcal{P})=\sum_{k=1}^{n}M_k\Delta x_k. \]

We define \(f\) to be Riemann integrable2 on \([a,b]\) iff for every \(\varepsilon>0\) there exists a partition \(\mathcal{P}\) such that \(U(f,\mathcal{P})-L(f,\mathcal{P})<\varepsilon\), in which case

\[ \int_a^b f =\sup_{\mathcal{P}}L(f,\mathcal{P}) =\inf_{\mathcal{P}}U(f,\mathcal{P}). \]

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