A topic in the Open Knowledge Graph — a free, open map of 15,290 topics and the order to learn them in.

Riemannian Metrics

Research Depth 83 in the knowledge graph ☐ I know this ☆ Set as goal
41topics build on this
478prerequisites beneath it
See this on the map →
Inner Product SpacesSmooth Manifolds+2 more→→Connections and Covariant DerivativeCurved Spacetime and the Metric Tensor+7 more
riemannian-metric inner-product length riemannian-manifold

Core Idea

A Riemannian metric on a smooth manifold assigns a smoothly varying inner product to each tangent space, enabling measurement of lengths, angles, areas, and volumes on curved spaces. In local coordinates, the metric is given by a symmetric positive-definite matrix gij(x) that encodes the geometry. Every smooth manifold admits a Riemannian metric (by partition of unity), but different metrics on the same manifold produce dramatically different geometries — the choice of metric is the central datum of Riemannian geometry.

Explainer

A Riemannian metric g on a smooth manifold M is a smooth assignment of an inner product gp to each tangent space TpM. In local coordinates, the metric is specified by a symmetric, positive-definite matrix of smooth functions gij(x), and the inner product of two tangent vectors v = vⁱ∂/∂xⁱ and w = wʲ∂/∂xʲ is g(v,w) = gij vⁱwʲ. The line element ds² = gij dxⁱ dxʲ encodes the metric in a compact notation that makes transformation properties transparent. Under a coordinate change, gij transforms as a (0,2)-tensor: g'kl = gij (∂xⁱ/∂x'ᵏ)(∂xʲ/∂x'ˡ).

With a metric in hand, you can measure everything geometric. The length of a curve is the integral of the speed |γ'(t)| = √g(γ',γ'). The distance between points is the infimum of curve lengths. The angle between tangent vectors is cos θ = g(v,w)/(|v||w|). The volume of a region is the integral of the Riemannian volume form dVg = √det(gij) dx¹ ∧ ... ∧ dxⁿ. The metric also provides the musical isomorphisms ♭ and ♯ that convert between vectors and covectors — this is how the gradient ∇f (a vector) is obtained from the differential df (a covector).

Every smooth manifold admits a Riemannian metric — this follows from the partition-of-unity argument (averaging local Euclidean metrics with non-negative weights preserves positive definiteness). But the specific choice of metric determines the geometry. The flat metric on ℝⁿ, the round metric on Sⁿ, the hyperbolic metric on the Poincare disk, and the Schwarzschild metric of a black hole are all Riemannian metrics on their respective manifolds, each encoding fundamentally different geometry. The study of which manifolds admit metrics with special curvature properties (constant curvature, Einstein, Ricci-flat) is one of the central programs in modern differential geometry.

The Riemannian metric is the starting point for the rest of Riemannian geometry. From the metric, you derive the Levi-Civita connection (the unique torsion-free connection compatible with the metric), which defines parallel transport and covariant differentiation. From the connection, you derive curvature (measuring the failure of parallel transport to be path-independent). From curvature, you derive geometric and topological consequences via theorems like Gauss-Bonnet, Bonnet-Myers, and the comparison theorems. The metric is the seed from which the entire apparatus grows.

Practice Questions 4 questions

Prerequisite Chain

Understanding Zero → The Number Zero → Counting to Five → Counting to 10 → Counting to 20 → Counting a Set of Objects Up to 20 → Cardinality: The Last Number Counted → Matching Numerals to Quantities → Subitizing Small Quantities → Addition Within 10 → Number Bonds to 10 → Addition Within 20 → Doubles and Near Doubles → Doubles Facts Within 10 → Near Doubles Facts Within 20 → Mental Math Strategies for Addition → Mental Math: Adding and Subtracting Tens → Addition Within 100 → Repeated Addition as Multiplication → Multiplication as Equal Groups → Multiplication: Arrays → Basic Multiplication Facts (0s, 1s, 2s, 5s, 10s) → Multiplication Facts Within 100 → Division as Equal Sharing → Division as Grouping (Measurement Division) → Division: Grouping (Repeated Subtraction) Model → Division: Fair Sharing Model → Division as Equal Sharing → Division as Grouping → Basic Division Facts → Division Facts Within 100 → Multiplication and Division Fact Families → Relationship Between Multiplication and Division → Division Facts as Inverse of Multiplication → Remainders and Quotients in Division → Division Word Problems → Multi-Step Word Problems → Solving Multi-Step Word Problems → Multiplication Word Problems → Division Word Problems → Introduction to Long Division → Factors and Multiples → Prime and Composite Numbers → Equivalent Fractions → Relating Fractions and Decimals → Decimal Place Value → Integers and the Number Line → Comparing and Ordering Integers → Absolute Value → Adding Integers → Subtracting Integers → Multiplying Integers → Introduction to Exponents → Order of Operations → Integer Order of Operations → Variable Expressions → The Distributive Property → Variables and Expressions Review → Introduction to Polynomials → Adding and Subtracting Polynomials → Multiplying Polynomials → Factorial → Permutations → Combinations → Counting Principles: Addition and Multiplication Rules → Introduction to Graph Theory → Propositional Logic Foundations → Logical Equivalences → De Morgan's Laws → Negation of Quantified Statements → Proof by Contradiction → Topological Spaces: Definition and Examples → Open Sets in Topological Spaces → Neighborhoods and Open Sets → Open Sets in Topological Spaces → Basis for a Topology → Neighborhoods and Local Properties → Limit Points and Convergence → Separation Axioms: T₀, T₁, and T₂ (Hausdorff) → Hausdorff Spaces → Introduction to Topological Manifolds → Smooth Manifolds → Partition of Unity → Riemannian Metrics

Longest path: 84 steps · 478 total prerequisite topics

Prerequisites (4)

Leads To (9)