Skip to content
Free public beta until December 4, 2026: every course is open, no card needed. After that, the first chapter of each course stays free and full access is a one-time $39 ($19 for up to 100 founding members chosen for helpful feedback). Your progress is kept. How the beta works

Inner product space

A vector space equipped with an inner product, generalizing the dot product.

A vector space V becomes an inner product space once it carries an inner product -- an operation generalizing the dot product that assigns a number to every pair of vectors and satisfies the same handful of axioms (linearity, symmetry, positivity). The space of piecewise-continuous functions on an interval, with \langle f,g\rangle=\int_a^b f(x)g(x)\,dx, is the running example this course builds its entire geometric picture of Fourier series from.

Examples

  • \mathbb R^n with the ordinary dot product is the simplest inner product space; L^2(-\pi,\pi) with the integral inner product is another.

Read the full section →
Graph settings

Calculator