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Ivar Ekeland

Ivar Ekeland 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 Ivar Ekeland rather than just read about it. In short: Ivar I. Ekeland (born 2 July 1944, Paris) is a French mathematician of Norwegian descent.

Ivar Ekeland — main illustration
Ivar Ekeland — illustration

Key takeaways

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

Reference excerpt

Ivar I. Ekeland (born 2 July 1944, Paris) is a French mathematician of Norwegian descent. Ekeland has written influential monographs and textbooks on nonlinear functional analysis, the calculus of variations, and mathematical economics, as well as popular books on mathematics, which have been published in French, English, and other languages. Ekeland is known as the author of Ekeland's variational principle and for his use of the Shapley–Folkman lemma in optimization theory. He has contributed to the periodic solutions of Hamiltonian systems and particularly to the theory of Kreĭn indices for linear systems (Floquet theory). Ekeland is cited in the credits of Steven Spielberg's 1993 movie Jurassic Park as an inspiration of the fictional chaos theory specialist Ian Malcolm appearing in Michael Crichton's 1990 novel Jurassic Park.

Biography Ekeland studied at the École Normale Supérieure (1963–1967). He is a senior research fellow at the French National Centre for Scientific Research (CNRS). He obtained his doctorate in 1970. He teaches mathematics and economics at the Paris Dauphine University, the École Polytechnique, the École Spéciale Militaire de Saint-Cyr, and the University of British Columbia in Vancouver. He was the chairman of Paris-Dauphine University from 1989 to 1994. Ekeland is a recipient of the D'Alembert Prize and the Jean Rostand prize. He is also a member of the Norwegian Academy of Science and Letters.

Popular science: Jurassic Park by Crichton and Spielberg

Ekeland has written several books on popular science, in which he has explained parts of dynamical systems, chaos theory, and probability theory. These books were first written in French and then translated into English and other languages, where they received praise for their mathematical accuracy as well as their value as literature and as entertainment. Through these writings, Ekeland had an influence on Jurassic Park, on both the novel and film. Ekeland's Mathematics and the unexpected and James Gleick's Chaos inspired the discussions of chaos theory in the novel Jurassic Park by Michael Crichton. When the novel was adapted for the film Jurassic Park by Steven Spielberg, Ekeland and Gleick were consulted by the actor Jeff Goldblum as he prepared to play the mathematician specializing in chaos theory.

Research Ekeland has contributed to mathematical analysis, particularly to variational calculus and mathematical optimization.

Variational principle In mathematical analysis, Ekeland's variational principle, discovered by Ivar Ekeland, is a theorem that asserts that there exists a nearly optimal solution to a class of optimization problems. Ekeland's variational principle can be used when the lower level set of a minimization problem is not compact, so that the Bolzano–Weierstrass theorem can not be applied. Ekeland's principle relies on the completeness of the metric space. Ekeland's principle leads to a quick proof of the Caristi fixed point theorem. Ekeland was associated with the University of Paris when he proposed this theorem.

Variational theory of Hamiltonian systems Ivar Ekeland is an expert on variational analysis, which studies mathematical optimization of spaces of functions. His research on periodic solutions of Hamiltonian systems and particularly to the theory of Kreĭn indices for linear systems (Floquet theory) was described in his monograph.

Additive optimization problems

Ekeland explained the success of methods of convex minimization on large problems that appeared to be non-convex. In many optimization problems, the objective function f are separable, that is, the sum of many summand-functions each with its own argument:

f ( x ) = f ( x 1 , … , x N ) = ∑ n f n ( x n ) . {\displaystyle f(x)=f(x_{1},\dots ,x_{N})=\sum _{n}f_{n}(x_{n}).}

For example, problems of linear optimization are separable. For a separable problem, we consider an optimal solution

x min = ( x 1 , … , x N ) min {\displaystyle x_{\min }=(x_{1},\dots ,x_{N})_{\min }}

with the minimum value f(xmin). For a separable problem, we consider an optimal solution (xmin, f(xmin)) to the "convexified problem", where convex hulls are taken of the graphs of the summand functions. Such an optimal solution is the limit of a sequence of points in the convexified problem

( x j , f ( x j ) ) ∈ C o n v ( G r a p h ( f n ) ) . {\displaystyle (x_{j},f(x_{j}))\in \mathrm {Conv} (\mathrm {Graph} (f_{n})).\,} An application of the Shapley–Folkman lemma represents the given optimal-point as a sum of points in the graphs of the original summands and of a small number of convexified summands. This analysis was published by Ivar Ekeland in 1974 to explain the apparent convexity of separable problems with many summands, despite the non-convexity of the summand problems. In 1973, the young mathematician Claude Lemaréchal was surprised by his success with convex minimization methods on problems that were known to be non-convex. Ekeland's analysis explained the success of methods of convex minimization on large and separable problems, despite the non-convexities of the summand functions. The Shapley–Folkman lemma has encouraged the use of methods of convex minimization on other applications with sums of many functions.

Bibliography

… excerpt ends here. Continue reading the full article.

Illustrations

Ivar Ekeland: Ivar Ekeland has written popular  books about chaos theory and about fractals,[1][2] such as the Julia set (animated).  Ekeland's exposition provided mathematical inspiration to Michael Crichton's discussion of chaos in Jurassic Park.[3]
Ivar Ekeland has written popular books about chaos theory and about fractals,[1][2] such as the Julia set (animated). Ekeland's exposition provided mathematical inspiration to Michael Crichton's discussion of chaos in Jurassic Park.[3]
Ivar Ekeland: Actor Jeff Goldblum consulted Ekeland while preparing to play a  mathematician specializing in chaos theory in Spielberg's Jurassic Park.[6]
Actor Jeff Goldblum consulted Ekeland while preparing to play a mathematician specializing in chaos theory in Spielberg's Jurassic Park.[6]
Ivar Ekeland: Ivar Ekeland applied the Shapley–Folkman lemma to explain Claude Lemarechal's success with Lagrangian relaxation on non-convex minimization problems. This lemma concerns the Minkowski addition of four sets. The point (+) in the convex hull of the Minkowski sum of the four non-convex sets (right) is the sum of four points (+) from the (left-hand) sets—two points in two non-convex sets plus two points in the convex hulls of two sets.  The convex hulls are shaded pink. The original sets each have exactly two points (shown in red).
Ivar Ekeland applied the Shapley–Folkman lemma to explain Claude Lemarechal's success with Lagrangian relaxation on non-convex minimization problems. This lemma concerns the Minkowski addition of four sets. The point (+) in the convex hull of the Minkowski sum of the four non-convex sets (right) is the sum of four points (+) from the (left-hand) sets—two points in two non-convex sets plus two points in the convex hulls of two sets. The convex hulls are shaded pink. The original sets each have exactly two points (shown in red).
Ivar Ekeland: The Feigenbaum bifurcation of the iterated logistic function system was described as an example of chaos theory in Ekeland's Mathematics and the unexpected.[1]
The Feigenbaum bifurcation of the iterated logistic function system was described as an example of chaos theory in Ekeland's Mathematics and the unexpected.[1]

Worked examples

Example 1 — a first encounter with Ivar Ekeland

Start with the simplest possible case. Write down what Ivar Ekeland 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 Ivar Ekeland 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 Ivar Ekeland 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 Ivar Ekeland

In research
Ivar Ekeland 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 Ivar Ekeland 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
Ivar Ekeland is common in secondary-school and first-year university syllabi. It links to neighbouring topics 1944 births, 20th-century French mathematicians, 21st-century French mathematicians, so understanding it makes those chapters shorter.
In everyday life
Look for Ivar Ekeland 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 Ivar Ekeland in 20 minutes

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

Frequently asked questions

What is Ivar Ekeland in simple terms?

Ivar I. Ekeland (born 2 July 1944, Paris) is a French mathematician of Norwegian descent.

Why does Ivar Ekeland 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 Ivar Ekeland?

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 Ivar Ekeland.

Tags

  • 1944 births
  • 20th-century French mathematicians
  • 21st-century French mathematicians
  • Academic staff of Paris Dauphine University
  • Academic staff of the University of British Columbia
  • Canada Research Chairs
  • Canadian mathematicians
  • Canadian people of French descent
  • Canadian people of Norwegian descent
  • Expatriate academics in Canada
  • French people of Norwegian descent
  • French textbook writers

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