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Pu's inequality

Pu's inequality 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 Pu's inequality rather than just read about it. In short: In differential geometry, Pu's inequality, proved by Pao Ming Pu, relates the area of an arbitrary Riemannian surface homeomorphic to the real projective plane with the lengths of the closed curves contained in it. Statement A student of Charles Loewner, Pu proved in his 1950 thesis (Pu 1952) that every Riemannian surface M {\displaystyle M} homeomorphic to the real projective plane satisfies the inequality Area ⁡ (…

Pu's inequality — main illustration
Pu's inequality — illustration

Key takeaways

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

Reference excerpt

In differential geometry, Pu's inequality, proved by Pao Ming Pu, relates the area of an arbitrary Riemannian surface homeomorphic to the real projective plane with the lengths of the closed curves contained in it.

Statement A student of Charles Loewner, Pu proved in his 1950 thesis (Pu 1952) that every Riemannian surface M {\displaystyle M} homeomorphic to the real projective plane satisfies the inequality

Area ⁡ ( M ) ≥ 2 π Systole ⁡ ( M ) 2 , {\displaystyle \operatorname {Area} (M)\geq {\frac {2}{\pi }}\operatorname {Systole} (M)^{2},}

where Systole ⁡ ( M ) {\displaystyle \operatorname {Systole} (M)} , the systole of M {\displaystyle M} , is the length of the shortest loop in M that cannot be contracted to a point in the ambient space X. The equality is attained precisely when the metric has constant Gaussian curvature. In other words, if all noncontractible loops in M {\displaystyle M} have length at least L {\displaystyle L} , then Area ⁡ ( M ) ≥ 2 π L 2 , {\displaystyle \operatorname {Area} (M)\geq {\frac {2}{\pi }}L^{2},} and the equality holds if and only if M {\displaystyle M} is obtained from a Euclidean sphere of radius r = L / π {\displaystyle r=L/\pi } by identifying each point with its antipodal. Pu's paper also stated for the first time Loewner's inequality, a similar result for Riemannian metrics on the torus.

Proof Pu's original proof relies on the uniformization theorem and employs an averaging argument, as follows. By uniformization, the Riemannian surface ( M , g ) {\displaystyle (M,g)} is conformally diffeomorphic to a round projective plane. This means that we may assume that the surface M {\displaystyle M} is obtained from the Euclidean unit sphere S 2 {\displaystyle S^{2}} by identifying antipodal points, and the Riemannian length element at each point x {\displaystyle x} is

d L e n g t h = f ( x ) d L e n g t h Euclidean , {\displaystyle \mathrm {dLength} =f(x)\mathrm {dLength} _{\text{Euclidean}},}

where d L e n g t h Euclidean {\displaystyle \mathrm {dLength} _{\text{Euclidean}}} is the Euclidean length element and the function f : S 2 → ( 0 , + ∞ ) {\displaystyle f:S^{2}\to (0,+\infty )} , called the conformal factor, satisfies f ( − x ) = f ( x ) {\displaystyle f(-x)=f(x)} . More precisely, the universal cover of M {\displaystyle M} is S 2 {\displaystyle S^{2}} , a loop γ ⊆ M {\displaystyle \gamma \subseteq M} is noncontractible if and only if its lift γ ~ ⊆ S 2 {\displaystyle {\widetilde {\gamma }}\subseteq S^{2}} goes from one point to its opposite, and the length of each curve γ {\displaystyle \gamma } is

Length ⁡ ( γ ) = ∫ γ ~ f d L e n g t h Euclidean . {\displaystyle \operatorname {Length} (\gamma )=\int _{\widetilde {\gamma }}f\,\mathrm {dLength} _{\text{Euclidean}}.}

Subject to the restriction that each of these lengths is at least L {\displaystyle L} , we want to find an f {\displaystyle f} that minimizes the

Area ⁡ ( M , g ) = ∫ S + 2 f ( x ) 2 d A r e a Euclidean ( x ) , {\displaystyle \operatorname {Area} (M,g)=\int _{S_{+}^{2}}f(x)^{2}\,\mathrm {dArea} _{\text{Euclidean}}(x),}

… excerpt ends here. Continue reading the full article.

Illustrations

Pu's inequality: An animation of the Roman surface representing RP2 in R3
An animation of the Roman surface representing RP2 in R3

Worked examples

Example 1 — a first encounter with Pu's inequality

Start with the simplest possible case. Write down what Pu's inequality 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 Pu's inequality 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 Pu's inequality 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 Pu's inequality

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

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

Frequently asked questions

What is Pu's inequality in simple terms?

In differential geometry, Pu's inequality, proved by Pao Ming Pu, relates the area of an arbitrary Riemannian surface homeomorphic to the real projective plane with the lengths of the closed curves contained in it. Statement A student of Charles Loewner, Pu proved in his 1950 thesis (Pu 1952) that…

Why does Pu's inequality 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 Pu's inequality?

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 Pu's inequality.

Tags

  • Differential geometry of surfaces
  • Geometric inequalities
  • Riemannian geometry
  • Systolic geometry

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