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Gromov's systolic inequality for essential manifolds

Gromov's systolic inequality for essential manifolds 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 Gromov's systolic inequality for essential manifolds rather than just read about it. In short: In the mathematical field of Riemannian geometry, M. Gromov's systolic inequality bounds the length of the shortest non-contractible loop on a Riemannian manifold in terms of the volume of the manifold.

Key takeaways

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

Reference excerpt

In the mathematical field of Riemannian geometry, M. Gromov's systolic inequality bounds the length of the shortest non-contractible loop on a Riemannian manifold in terms of the volume of the manifold. Gromov's systolic inequality was proved in 1983; it can be viewed as a generalisation, albeit non-optimal, of Loewner's torus inequality and Pu's inequality for the real projective plane. Technically, let M be an essential Riemannian manifold of dimension n; denote by sysπ1(M) the homotopy 1-systole of M, that is, the least length of a non-contractible loop on M. Then Gromov's inequality takes the form

( s y s π 1 ⁡ ( M ) ) n ≤ C n vol ⁡ ( M ) , {\displaystyle \left(\operatorname {sys\pi } _{1}(M)\right)^{n}\leq C_{n}\operatorname {vol} (M),}

where Cn is a universal constant only depending on the dimension of M.

Essential manifolds

A closed manifold is called essential if its fundamental class defines a nonzero element in the homology of its fundamental group, or more precisely in the homology of the corresponding Eilenberg–MacLane space. Here the fundamental class is taken in homology with integer coefficients if the manifold is orientable, and in coefficients modulo 2, otherwise. Examples of essential manifolds include aspherical manifolds, real projective spaces, and lens spaces.

Proofs of Gromov's inequality Gromov's original 1983 proof is about 35 pages long. It relies on a number of techniques and inequalities of global Riemannian geometry. The starting point of the proof is the imbedding of X into the Banach space of Borel functions on X, equipped with the sup norm. The imbedding is defined by mapping a point p of X, to the real function on X given by the distance from the point p. The proof utilizes the coarea inequality, the isoperimetric inequality, the cone inequality, and the deformation theorem of Herbert Federer.

Filling invariants and recent work One of the key ideas of the proof is the introduction of filling invariants, namely the filling radius and the filling volume of X. Namely, Gromov proved a sharp inequality relating the systole and the filling radius,

s y s π 1 ≤ 6 F i l l R a d ( X ) , {\displaystyle \mathrm {sys\pi } _{1}\leq 6\;\mathrm {FillRad} (X),}

valid for all essential manifolds X; as well as an inequality

F i l l R a d ( X ) ≤ C n v o l n

1 n ( X ) , {\displaystyle \mathrm {FillRad} (X)\leq C_{n}\mathrm {vol} _{n}{}^{\tfrac {1}{n}}(X),}

valid for all closed manifolds X. It was shown by Brunnbauer (2008) that the filling invariants, unlike the systolic invariants, are independent of the topology of the manifold in a suitable sense. Guth (2011) and Ambrosio & Katz (2011) developed approaches to the proof of Gromov's systolic inequality for essential manifolds.

Inequalities for surfaces and polyhedra Stronger results are available for surfaces, where the asymptotics when the genus tends to infinity are by now well understood, see systoles of surfaces. A uniform inequality for arbitrary 2-complexes with non-free fundamental groups is available, whose proof relies on the Grushko decomposition theorem.

Notes

See also Filling area conjecture Gromov's inequality (disambiguation) Gromov's inequality for complex projective space Loewner's torus inequality Pu's inequality Systolic geometry

References Ambrosio, Luigi; Katz, Mikhail (2011), "Flat currents modulo p in metric spaces and filling radius inequalities", Commentarii Mathematici Helvetici, 86 (3): 557–592, arXiv:1004.1374, doi:10.4171/CMH/234, MR 2803853. Brunnbauer, M. (2008), "Filling inequalities do not depend on topology", J. Reine Angew. Math., 624: 217–231 Gromov, M. (1983), "Filling Riemannian manifolds", J. Diff. Geom., 18: 1–147, MR 0697984, Zbl 0515.53037, PE euclid.jdg/1214509283 Guth, Larry (2011), "Volumes of balls in large Riemannian manifolds", Annals of Mathematics, 173 (1): 51–76, arXiv:math/0610212, doi:10.4007/annals.2011.173.1.2, MR 2753599 Katz, Mikhail G. (2007), Systolic geometry and topology, Mathematical Surveys and Monographs, vol. 137, Providence, R.I.: American Mathematical Society, p. 19, ISBN 978-0-8218-4177-8

Worked examples

Example 1 — a first encounter with Gromov's systolic inequality for essential manifolds

Start with the simplest possible case. Write down what Gromov's systolic inequality for essential manifolds 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 Gromov's systolic inequality for essential manifolds 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 Gromov's systolic inequality for essential manifolds 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 Gromov's systolic inequality for essential manifolds

In research
Gromov's systolic inequality for essential manifolds 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 Gromov's systolic inequality for essential manifolds 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
Gromov's systolic inequality for essential manifolds is common in secondary-school and first-year university syllabi. It links to neighbouring topics Geometric inequalities, Riemannian geometry, Systolic geometry, so understanding it makes those chapters shorter.
In everyday life
Look for Gromov's systolic inequality for essential manifolds 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 Gromov's systolic inequality for essential manifolds in 20 minutes

  1. Read the reference excerpt below once, without taking notes.
  2. Close the page and write down what Gromov's systolic inequality for essential manifolds 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 Gromov's systolic inequality for essential manifolds out loud to somebody else — or to Teacher Smith in the lgStudy chat.

Frequently asked questions

What is Gromov's systolic inequality for essential manifolds in simple terms?

In the mathematical field of Riemannian geometry, M. Gromov's systolic inequality bounds the length of the shortest non-contractible loop on a Riemannian manifold in terms of the volume of the manifold.

Why does Gromov's systolic inequality for essential manifolds 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 Gromov's systolic inequality for essential manifolds?

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 Gromov's systolic inequality for essential manifolds.

Tags

  • Geometric inequalities
  • Riemannian geometry
  • Systolic geometry
  • Theorems in Riemannian geometry

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