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József Beck

József Beck 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 József Beck rather than just read about it. In short: József Beck (Budapest, Hungary, February 14, 1952) is a Harold H. Martin Professor of Mathematics at Rutgers University.

József Beck — main illustration
József Beck — illustration

Key takeaways

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

Reference excerpt

József Beck (Budapest, Hungary, February 14, 1952) is a Harold H. Martin Professor of Mathematics at Rutgers University. His contributions to combinatorics include the partial colouring lemma and the Beck–Fiala theorem in discrepancy theory, the algorithmic version of the Lovász local lemma, the two extremes theorem in combinatorial geometry and the second moment method in the theory of positional games, among others. Beck was awarded the Fulkerson Prize in 1985 for a paper titled "Roth's estimate of the discrepancy of integer sequences is nearly sharp", which introduced the notion of discrepancy on hypergraphs and established an upper bound on the discrepancy of the family of arithmetic progressions contained in {1,2,...,n}, matching the classical lower bound up to a polylogarithmic factor. Jiří Matoušek and Joel Spencer later succeeded in getting rid of this factor, showing that the bound was really sharp. Beck gave an invited talk at the 1986 International Congress of Mathematicians. He is an external member of the Hungarian Academy of Sciences (2004).

Books Irregularities of Distribution (with William W. L. Chen, Cambridge Tracts in Mathematics 89, Cambridge University Press, 1987) Combinatorial Games: Tic-Tac-Toe Theory (Encyclopedia of Mathematics and its Applications 114, Cambridge University Press, 2008) Inevitable Randomness in Discrete Mathematics (University Lecture Series 49, American Mathematical Society, 2009) Probabilistic Diophantine Approximation: Randomness in Lattice Point Counting (Springer Monographs in Mathematics. Springer-Verlag, 2014) Strong Uniformity and Large Dynamical Systems (World Scientific Publishing, 2018)

References

External links József Beck, personal webpage, Department of Mathematics, Rutgers University József Beck, Mathematics Genealogy Project

Illustrations

József Beck: Jozsef Beck in 2004
Jozsef Beck in 2004

Worked examples

Example 1 — a first encounter with József Beck

Start with the simplest possible case. Write down what József Beck 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 József Beck 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 József Beck 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 József Beck

In research
József Beck 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 József Beck 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
József Beck is common in secondary-school and first-year university syllabi. It links to neighbouring topics 1952 births, European mathematician stubs, Hungarian emigrants to the United States, so understanding it makes those chapters shorter.
In everyday life
Look for József Beck 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 József Beck in 20 minutes

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

Frequently asked questions

What is József Beck in simple terms?

József Beck (Budapest, Hungary, February 14, 1952) is a Harold H. Martin Professor of Mathematics at Rutgers University.

Why does József Beck 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 József Beck?

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 József Beck.

Tags

  • 1952 births
  • European mathematician stubs
  • Hungarian emigrants to the United States
  • Hungarian scientist stubs
  • Living people
  • Mathematicians from Budapest
  • Members of the Hungarian Academy of Sciences
  • Positional games
  • Rutgers University faculty

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