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Per Enflo

Per Enflo 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 Per Enflo rather than just read about it. In short: Per H. Enflo (Swedish: [ˈpæːr ˈěːnfluː]; born 20 May 1944) is a Swedish mathematician working primarily in functional analysis, a field in which he solved problems that had been considered fundamental.

Per Enflo — main illustration
Per Enflo — illustration

Key takeaways

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

Reference excerpt

Per H. Enflo (Swedish: [ˈpæːr ˈěːnfluː]; born 20 May 1944) is a Swedish mathematician working primarily in functional analysis, a field in which he solved problems that had been considered fundamental. Three of these problems had been open for more than forty years:

The basis problem and the approximation problem and later the invariant subspace problem for Banach spaces. In solving these problems, Enflo developed new techniques which were then used by other researchers in functional analysis and operator theory for years. Some of Enflo's research has been important also in other mathematical fields, such as number theory, and in computer science, especially computer algebra and approximation algorithms. Enflo works at Kent State University, where he holds the title of University Professor. Enflo has earlier held positions at the Miller Institute for Basic Research in Science at the University of California, Berkeley, Stanford University, École Polytechnique, (Paris) and The Royal Institute of Technology, Stockholm. Enflo is also a concert pianist.

Enflo's contributions to functional analysis and operator theory In mathematics, functional analysis is concerned with the study of vector spaces and operators acting upon them. It has its historical roots in the study of functional spaces, in particular transformations of functions, such as the Fourier transform, as well as in the study of differential and integral equations. In functional analysis, an important class of vector spaces consists of the complete normed vector spaces over the real or complex numbers, which are called Banach spaces. An important example of a Banach space is a Hilbert space, where the norm arises from an inner product. Hilbert spaces are of fundamental importance in many areas, including the mathematical formulation of quantum mechanics, stochastic processes, and time-series analysis. Besides studying spaces of functions, functional analysis also studies the continuous linear operators on spaces of functions.

Hilbert's fifth problem and embeddings

At Stockholm University, Hans Rådström suggested that Enflo consider Hilbert's fifth problem in the spirit of functional analysis. In two years, 1969–1970, Enflo published five papers on Hilbert's fifth problem; these papers are collected in Enflo (1970), along with a short summary. Some of the results of these papers are described in Enflo (1976) and in the last chapter of Benyamini and Lindenstrauss.

Applications in computer science

Enflo's techniques have found application in computer science. Algorithm theorists derive approximation algorithms that embed finite metric spaces into low-dimensional Euclidean spaces with low "distortion" (in Gromov's terminology for the Lipschitz category; cf. Banach–Mazur distance). Low-dimensional problems have lower computational complexity, of course. More importantly, if the problems embed well in either the Euclidean plane or the three-dimensional Euclidean space, then geometric algorithms become exceptionally fast. However, such embedding techniques have limitations, as shown by Enflo's (1969) theorem:

For every m ≥ 2 {\displaystyle m\geq 2} , the Hamming cube C m {\displaystyle C_{m}} cannot be embedded with "distortion D {\displaystyle D} " (or less) into 2 m {\displaystyle 2^{m}} -dimensional Euclidean space if D < m {\displaystyle D<{\sqrt {m}}} . Consequently, the optimal embedding is the natural embedding, which realizes { 0 , 1 } m {\displaystyle \{0,1\}^{m}} as a subspace of m {\displaystyle m} -dimensional Euclidean space. This theorem, "found by Enflo [1969], is probably the first result showing an unbounded distortion for embeddings into Euclidean spaces. Enflo considered the problem of uniform embeddability among Banach spaces, and the distortion was an auxiliary device in his proof."

Geometry of Banach spaces

A uniformly convex space is a Banach space so that, for every ϵ > 0 {\displaystyle \epsilon >0} there is some δ > 0 {\displaystyle \delta >0} so that for any two vectors with ‖ x ‖ ≤ 1 {\displaystyle \|x\|\leq 1} and ‖ y ‖ ≤ 1 , {\displaystyle \|y\|\leq 1,}

‖ x + y ‖ > 2 − δ {\displaystyle \|x+y\|>2-\delta }

implies that

‖ x − y ‖ < ϵ . {\displaystyle \|x-y\|<\epsilon .}

Intuitively, the center of a line segment inside the unit ball must lie deep inside the unit ball unless the segment is short. In 1972 Enflo proved that "every super-reflexive Banach space admits an equivalent uniformly convex norm".

The basis problem and Mazur's goose

With one paper, which was published in 1973, Per Enflo solved three problems that had stumped functional analysts for decades: The basis problem of Stefan Banach, the "Goose problem" of Stanisław Mazur, and the approximation problem of Alexander Grothendieck. Grothendieck had shown that his approximation problem was the central problem in the theory of Banach spaces and continuous linear operators.

Basis problem of Banach

… excerpt ends here. Continue reading the full article.

Illustrations

Per Enflo illustration
Per Enflo: In 1937, Polish mathematician Stanisław Mazur promised a "live goose" as the prize for solving problem 153 in the Scottish Book. In 1972, Mazur presented the goose to Per Enflo.
In 1937, Polish mathematician Stanisław Mazur promised a "live goose" as the prize for solving problem 153 in the Scottish Book. In 1972, Mazur presented the goose to Per Enflo.
Per Enflo: In 1972 Stanisław Mazur awarded Enflo the promised live goose for solving a problem in the Scottish book.
In 1972 Stanisław Mazur awarded Enflo the promised live goose for solving a problem in the Scottish book.
Per Enflo: A concert pianist, Per Enflo debuted at the Stockholm Concert Hall in 1963.[36]
A concert pianist, Per Enflo debuted at the Stockholm Concert Hall in 1963.[36]

Worked examples

Example 1 — a first encounter with Per Enflo

Start with the simplest possible case. Write down what Per Enflo 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 Per Enflo 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 Per Enflo 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 Per Enflo

In research
Per Enflo 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 Per Enflo 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
Per Enflo is common in secondary-school and first-year university syllabi. It links to neighbouring topics 1944 births, 20th-century American male musicians, 20th-century American mathematicians, so understanding it makes those chapters shorter.
In everyday life
Look for Per Enflo 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 Per Enflo in 20 minutes

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

Frequently asked questions

What is Per Enflo in simple terms?

Per H. Enflo (Swedish: [ˈpæːr ˈěːnfluː]; born 20 May 1944) is a Swedish mathematician working primarily in functional analysis, a field in which he solved problems that had been considered fundamental.

Why does Per Enflo 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 Per Enflo?

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 Per Enflo.

Tags

  • 1944 births
  • 20th-century American male musicians
  • 20th-century American mathematicians
  • 20th-century American pianists
  • 21st-century American mathematicians
  • Academic staff of the KTH Royal Institute of Technology
  • American classical pianists
  • American male pianists
  • Functional analysts
  • Kent State University faculty
  • Living people
  • Mathematical analysts

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