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Hadamard space

Hadamard space 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 Hadamard space rather than just read about it. In short: In geometry, an Hadamard space, named after Jacques Hadamard, is a non-linear generalization of a Hilbert space. In the literature they are also equivalently defined as complete CAT(0) spaces.

Hadamard space — main illustration
Hadamard space — illustration

Key takeaways

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

Reference excerpt

In geometry, an Hadamard space, named after Jacques Hadamard, is a non-linear generalization of a Hilbert space. In the literature they are also equivalently defined as complete CAT(0) spaces. An Hadamard space is defined to be a nonempty complete metric space such that, given any points x {\displaystyle x} and y , {\displaystyle y,} there exists a point m {\displaystyle m} such that for every point z , {\displaystyle z,}

d ( z , m ) 2 + d ( x , y ) 2 4 ≤ d ( z , x ) 2 + d ( z , y ) 2 2 . {\displaystyle d(z,m)^{2}+{d(x,y)^{2} \over 4}\leq {d(z,x)^{2}+d(z,y)^{2} \over 2}.}

The point m {\displaystyle m} is then the midpoint of x {\displaystyle x} and y : {\displaystyle y:} d ( x , m ) = d ( y , m ) = d ( x , y ) / 2. {\displaystyle d(x,m)=d(y,m)=d(x,y)/2.}

In a Hilbert space, the above inequality is equality (with m = ( x + y ) / 2 {\displaystyle m=(x+y)/2} ), and in general an Hadamard space is said to be flat if the above inequality is equality. A flat Hadamard space is isomorphic to a closed convex subset of a Hilbert space. In particular, a normed space is an Hadamard space if and only if it is a Hilbert space. The geometry of Hadamard spaces resembles that of Hilbert spaces, making it a natural setting for the study of rigidity theorems. In a Hadamard space, any two points can be joined by a unique geodesic between them; in particular, it is contractible. Quite generally, if B {\displaystyle B} is a bounded subset of a metric space, then the center of the closed ball of the minimum radius containing it is called the circumcenter of B . {\displaystyle B.} Every bounded subset of a Hadamard space is contained in the smallest closed ball (which is the same as the closure of its convex hull). If Γ {\displaystyle \Gamma } is the group of isometries of a Hadamard space leaving invariant B , {\displaystyle B,} then Γ {\displaystyle \Gamma } fixes the circumcenter of B {\displaystyle B} (Bruhat–Tits fixed point theorem). The basic result for a non-positively curved manifold is the Cartan–Hadamard theorem. The analog holds for a Hadamard space: a complete, connected metric space which is locally isometric to a Hadamard space has an Hadamard space as its universal cover. Its variant applies for non-positively curved orbifolds. (cf. Lurie.) Examples of Hadamard spaces are Hilbert spaces, the Poincaré disc, complete real trees (for example, complete Bruhat–Tits building), ( p , q ) {\displaystyle (p,q)} -space with p , q ≥ 3 {\displaystyle p,q\geq 3} and 2 p q ≥ p + q , {\displaystyle 2pq\geq p+q,} and Hadamard manifolds, that is, complete simply-connected Riemannian manifolds of nonpositive sectional curvature. Important examples of Hadamard manifolds are simply connected nonpositively curved symmetric spaces. Applications of Hadamard spaces are not restricted to geometry. In 1998, Dmitri Burago and Serge Ferleger used CAT(0) geometry to solve a problem in dynamical billiards: in a gas of hard balls, is there a uniform bound on the number of collisions? The solution begins by constructing a configuration space for the dynamical system, obtained by joining together copies of corresponding billiard table, which turns out to be a Hadamard space.

See also CAT(k) – a type of metric space in mathematics Hadamard manifold

References

Bridson, Martin R.; Haefliger, André (1999), Metric spaces of non-positive curvature, Springer Papadopoulos, Athanase (2014), Metric spaces, convexity and non-positive curvature, IRMA Lectures in Mathematics and Theoretical Physics, vol. 6 (Second ed.), European Mathematical Society, ISBN 978-3-03719-132-3 Dmitri Burago; Yuri Burago, and Sergei Ivanov. A Course in Metric Geometry. American Mathematical Society. (1984) Jacob Lurie: Notes on the Theory of Hadamard Spaces Alexander S., Kapovich V., Petrunin A. Notes on Alexandrov Geometry

Illustrations

Hadamard space: In an Hadamard space, a triangle is hyperbolic; that is, the middle one in the picture. In fact, any complete metric space where a triangle is hyperbolic is an Hadamard space.
In an Hadamard space, a triangle is hyperbolic; that is, the middle one in the picture. In fact, any complete metric space where a triangle is hyperbolic is an Hadamard space.

Worked examples

Example 1 — a first encounter with Hadamard space

Start with the simplest possible case. Write down what Hadamard space 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 Hadamard space 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 Hadamard space 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 Hadamard space

In research
Hadamard space 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 Hadamard space 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
Hadamard space is common in secondary-school and first-year university syllabi. It links to neighbouring topics Functional analysis, Geometric topology, Hilbert spaces, so understanding it makes those chapters shorter.
In everyday life
Look for Hadamard space 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.
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How to study Hadamard space in 20 minutes

  1. Read the reference excerpt below once, without taking notes.
  2. Close the page and write down what Hadamard space 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 Hadamard space out loud to somebody else — or to Teacher Smith in the lgStudy chat.

Frequently asked questions

What is Hadamard space in simple terms?

In geometry, an Hadamard space, named after Jacques Hadamard, is a non-linear generalization of a Hilbert space. In the literature they are also equivalently defined as complete CAT(0) spaces.

Why does Hadamard space 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 Hadamard space?

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 Hadamard space.

Tags

  • Functional analysis
  • Geometric topology
  • Hilbert spaces
  • Metric spaces

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