ArticleslgStudy

mathematics

Riemannian manifold

Riemannian manifold is a mathematics topic covered in the lgStudy science library. This page brings together a partial reference excerpt, illustrations, worked examples, real-world applications and a short study plan, so you can understand Riemannian manifold rather than just read about it. In short: In differential geometry, a Riemannian manifold (or Riemann space) is a geometric space on which many geometric notions such as distance, angles, length, volume, and curvature are defined. Euclidean space, the n {\displaystyle n} -sphere, hyperbolic space, and smooth surfaces in three-dimensional space, such as ellipsoids and paraboloids, are all examples of Riemannian manifolds.

Riemannian manifold — main illustration
Riemannian manifold — illustration

Key takeaways

  • Riemannian manifold belongs to mathematics; place it in that map before memorising details.
  • Learn the definition first, then one example that makes the definition concrete.
  • Connect Riemannian manifold to a quantity you can measure, compute or draw — that is where exam questions come from.
  • Reproduce the core statement of Riemannian manifold from memory before moving on to harder problems.

Reference excerpt

In differential geometry, a Riemannian manifold (or Riemann space) is a geometric space on which many geometric notions such as distance, angles, length, volume, and curvature are defined. Euclidean space, the n {\displaystyle n} -sphere, hyperbolic space, and smooth surfaces in three-dimensional space, such as ellipsoids and paraboloids, are all examples of Riemannian manifolds. Riemannian manifolds take their name from German mathematician Bernhard Riemann, who first conceptualized them in 1854. Formally, a Riemannian metric (or just a metric) on a smooth manifold is a smoothly varying choice of inner product for each tangent space of the manifold. A Riemannian manifold is a smooth manifold together with a Riemannian metric. The techniques of differential and integral calculus are used to pull geometric data out of the Riemannian metric. For example, integration leads to the Riemannian distance function, whereas differentiation is used to define curvature and parallel transport. Any smooth surface in three-dimensional Euclidean space is a Riemannian manifold with a Riemannian metric coming from the way it sits inside the ambient space. The same is true for any submanifold of Euclidean space of any dimension. Although John Nash proved that every Riemannian manifold arises as a submanifold of Euclidean space, and although some Riemannian manifolds are naturally exhibited or defined in that way, the idea of a Riemannian manifold emphasizes the intrinsic point of view, which defines geometric notions directly on the abstract space itself without referencing an ambient space. In many instances, such as for hyperbolic space and projective space, Riemannian metrics are more naturally defined or constructed using the intrinsic point of view. Additionally, many metrics on Lie groups and homogeneous spaces are defined intrinsically by using group actions to transport an inner product on a single tangent space to the entire manifold, and many special metrics such as constant scalar curvature metrics and Kähler–Einstein metrics are constructed intrinsically using tools from partial differential equations. Riemannian geometry, the study of Riemannian manifolds, has deep connections to other areas of mathematics, including geometric topology, complex geometry, and algebraic geometry. Applications include physics (especially general relativity and gauge theory), computer graphics, machine learning, and cartography. Generalizations of Riemannian manifolds include pseudo-Riemannian manifolds, Finsler manifolds, and sub-Riemannian manifolds.

History

In 1827, Carl Friedrich Gauss discovered that the Gaussian curvature of a surface embedded in 3-dimensional space only depends on local measurements made within the surface (the first fundamental form). This result is known as the Theorema Egregium ("remarkable theorem" in Latin). A map that preserves the local measurements of a surface is called a local isometry. A property of a surface is called an intrinsic property if it is preserved by local isometries and it is called an extrinsic property if it is not. In this language, the Theorema Egregium says that the Gaussian curvature is an intrinsic property of surfaces. Riemannian manifolds and their curvature were first introduced non-rigorously by Bernhard Riemann in 1854. However, they would not be formalized until much later. In fact, the more primitive concept of a smooth manifold was first explicitly defined only in 1913 in a book by Hermann Weyl. Élie Cartan introduced the Cartan connection, one of the first concepts of a connection. Levi-Civita defined the Levi-Civita connection, a special connection on a Riemannian manifold. Albert Einstein used the theory of pseudo-Riemannian manifolds (a generalization of Riemannian manifolds) to develop general relativity. Specifically, the Einstein field equations are constraints on the curvature of spacetime, which is a 4-dimensional pseudo-Riemannian manifold.

Definition

Riemannian metrics and Riemannian manifolds

… excerpt ends here. Continue reading the full article.

Illustrations

Riemannian manifold: The dot product of two vectors tangent to the sphere sitting inside 3-dimensional Euclidean space contains information about the lengths and angle between the vectors. The dot products on every tangent plane, packaged together into one mathematical object, are a Riemannian metric.
The dot product of two vectors tangent to the sphere sitting inside 3-dimensional Euclidean space contains information about the lengths and angle between the vectors. The dot products on every tangent plane, packaged together into one mathematical object, are a Riemannian metric.
Riemannian manifold: Riemannian manifolds were first conceptualized by their namesake, German mathematician Bernhard Riemann.
Riemannian manifolds were first conceptualized by their namesake, German mathematician Bernhard Riemann.
Riemannian manifold: A tangent plane of the sphere with two vectors in it. A Riemannian metric allows one to take the inner product of these vectors.
A tangent plane of the sphere with two vectors in it. A Riemannian metric allows one to take the inner product of these vectors.
Riemannian manifold: The 
  
    
      
        n
      
    
    {\displaystyle n}
  
-sphere 
  
    
      
        
          S
          
            n
          
        
      
    
    {\displaystyle S^{n}}
  
 with the round metric is an embedded Riemannian submanifold of 
  
    
      
        
          
            R
          
          
            n
            +
            1
          
        
      
    
    {\displaystyle \mathbb {R} ^{n+1}}
  
.
The n {\displaystyle n} -sphere S n {\displaystyle S^{n}} with the round metric is an embedded Riemannian submanifold of R n + 1 {\displaystyle \mathbb {R} ^{n+1}} .
Riemannian manifold illustration

Worked examples

Example 1 — a first encounter with Riemannian manifold

Start with the simplest possible case. Write down what Riemannian manifold claims or describes in one sentence, then invent the smallest concrete situation in which that sentence is true. In mathematics, the smallest case is usually a single object, a single equation or a single measurement. Check that every symbol or term in your sentence has a meaning in that case.

Example 2 — changing one variable

Take the situation from Example 1 and change exactly one quantity: double it, halve it, or set it to zero. Predict what should happen to Riemannian manifold before you calculate. Comparing your prediction with the result is the fastest way to find out whether you understand the idea or only the words.

Example 3 — an exam-style question

Typical questions about Riemannian manifold ask you to (a) state it precisely, (b) apply it to given data, and (c) explain a limitation. Practise writing all three answers in under five minutes; the third part is what separates a full-mark answer from an average one.

Applications of Riemannian manifold

In research
Riemannian manifold appears in mathematics research whenever the underlying quantities have to be modelled precisely. Papers usually cite it as a starting assumption and then explore where it breaks down.
In technology and industry
Engineering practice reuses Riemannian manifold in design rules, simulations and safety margins. Knowing the idea lets you read a specification sheet and understand why the numbers look the way they do.
In the classroom
Riemannian manifold is common in secondary-school and first-year university syllabi. It links to neighbouring topics Differential geometry, Riemannian geometry, Riemannian manifolds, so understanding it makes those chapters shorter.
In everyday life
Look for Riemannian manifold outside the textbook — in sport, cooking, traffic, electronics or the sky above you. An example you found yourself is remembered far longer than one you were given.
Ask Teacher Smith questions about this articleOpens your AI tutor with a question about “Riemannian manifold” →

Affiliate

Preply — study more efficiently by working with a personal tutor. 50% off.

How to study Riemannian manifold in 20 minutes

  1. Read the reference excerpt below once, without taking notes.
  2. Close the page and write down what Riemannian manifold means in your own words.
  3. Compare your version with the excerpt and mark what you missed.
  4. Work through the three examples above with pen and paper.
  5. Explain Riemannian manifold out loud to somebody else — or to Teacher Smith in the lgStudy chat.

Frequently asked questions

What is Riemannian manifold in simple terms?

In differential geometry, a Riemannian manifold (or Riemann space) is a geometric space on which many geometric notions such as distance, angles, length, volume, and curvature are defined. Euclidean space, the n {\displaystyle n} -sphere, hyperbolic space, and smooth surfaces in three-dimensional s…

Why does Riemannian manifold matter?

Because it connects several mathematics ideas at once: it gives you a definition you can apply, a quantity you can calculate, and a way to check whether a result is plausible.

How should I study Riemannian manifold?

Read the excerpt, restate it from memory, then work through the examples and applications listed on this page. The five-step study plan above takes about twenty minutes.

What does this page cover?

It gives you a compact reference excerpt plus original lgStudy explanations, examples, applications and study material on Riemannian manifold.

Tags

  • Differential geometry
  • Riemannian geometry
  • Riemannian manifolds

Keep exploring