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Kirszbraun theorem

Kirszbraun theorem 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 Kirszbraun theorem rather than just read about it. In short: In mathematics, specifically real analysis and functional analysis, the Kirszbraun theorem states that if U is a subset of some Hilbert space H1, and H2 is another Hilbert space, and f : U → H 2 {\displaystyle f:U\rightarrow H_{2}} is a Lipschitz-continuous map, then there is a Lipschitz-continuous map F : H 1 → H 2 {\displaystyle F:H_{1}\rightarrow H_{2}} that extends f and has the same Lipschitz constant as f. Not…

Key takeaways

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

Reference excerpt

In mathematics, specifically real analysis and functional analysis, the Kirszbraun theorem states that if U is a subset of some Hilbert space H1, and H2 is another Hilbert space, and

f : U → H 2 {\displaystyle f:U\rightarrow H_{2}}

is a Lipschitz-continuous map, then there is a Lipschitz-continuous map

F : H 1 → H 2 {\displaystyle F:H_{1}\rightarrow H_{2}}

that extends f and has the same Lipschitz constant as f. Note that this result in particular applies to Euclidean spaces En and Em, and it was in this form that Kirszbraun originally formulated and proved the theorem. The version for Hilbert spaces can for example be found in (Schwartz 1969, p. 21). If H1 is a separable space (in particular, if it is a Euclidean space) the result is true in Zermelo–Fraenkel set theory; for the fully general case, it appears to need some form of the axiom of choice; the Boolean prime ideal theorem is known to be sufficient. The proof of the theorem uses geometric features of Hilbert spaces; the corresponding statement for Banach spaces is not true in general, not even for finite-dimensional Banach spaces. It is for instance possible to construct counterexamples where the domain is a subset of R n {\displaystyle \mathbb {R} ^{n}} with the maximum norm and R m {\displaystyle \mathbb {R} ^{m}} carries the Euclidean norm. More generally, the theorem fails for R m {\displaystyle \mathbb {R} ^{m}} equipped with any ℓ p {\displaystyle \ell _{p}} norm ( p ≠ 2 {\displaystyle p\neq 2} ) (Schwartz 1969, p. 20).

Explicit formulas For an R {\displaystyle \mathbb {R} } -valued function the extension is provided by f ~ ( x ) := inf u ∈ U ( f ( u ) + Lip ( f ) ⋅ d ( x , u ) ) , {\displaystyle {\tilde {f}}(x):=\inf _{u\in U}{\big (}f(u)+{\text{Lip}}(f)\cdot d(x,u){\big )},} where Lip ( f ) {\displaystyle {\text{Lip}}(f)} is the Lipschitz constant of f {\displaystyle f} on U. In general, an extension can also be written for R m {\displaystyle \mathbb {R} ^{m}} -valued functions as f ~ ( x ) := ∇ y ( conv ( g ( x , y ) ) ( x , 0 ) {\displaystyle {\tilde {f}}(x):=\nabla _{y}({\textrm {conv}}(g(x,y))(x,0)} where g ( x , y ) := inf u ∈ U { ⟨ f ( u ) , y ⟩ + Lip ( f ) 2 ‖ x − u ‖ 2 } + Lip ( f ) 2 ‖ x ‖ 2 + Lip ( f ) ‖ y ‖ 2 {\displaystyle g(x,y):=\inf _{u\in U}\left\{\langle f(u),y\rangle +{\frac {{\text{Lip}}(f)}{2}}\|x-u\|^{2}\right\}+{\frac {{\text{Lip}}(f)}{2}}\|x\|^{2}+{\text{Lip}}(f)\|y\|^{2}} and conv(g) is the lower convex envelope of g.

History The theorem was proved by Mojżesz David Kirszbraun, and later it was reproved by Frederick Valentine, who first proved it for the Euclidean plane. Sometimes this theorem is also called Kirszbraun–Valentine theorem.

References

External links Kirszbraun theorem at Encyclopedia of Mathematics.

Worked examples

Example 1 — a first encounter with Kirszbraun theorem

Start with the simplest possible case. Write down what Kirszbraun theorem 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 Kirszbraun theorem 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 Kirszbraun theorem 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 Kirszbraun theorem

In research
Kirszbraun theorem 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 Kirszbraun theorem 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
Kirszbraun theorem is common in secondary-school and first-year university syllabi. It links to neighbouring topics Hilbert spaces, Lipschitz maps, Metric geometry, so understanding it makes those chapters shorter.
In everyday life
Look for Kirszbraun theorem 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 Kirszbraun theorem in 20 minutes

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

Frequently asked questions

What is Kirszbraun theorem in simple terms?

In mathematics, specifically real analysis and functional analysis, the Kirszbraun theorem states that if U is a subset of some Hilbert space H1, and H2 is another Hilbert space, and f : U → H 2 {\displaystyle f:U\rightarrow H_{2}} is a Lipschitz-continuous map, then there is a Lipschitz-continuous…

Why does Kirszbraun theorem 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 Kirszbraun theorem?

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 Kirszbraun theorem.

Tags

  • Hilbert spaces
  • Lipschitz maps
  • Metric geometry
  • Theorems in functional analysis
  • Theorems in real analysis

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