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Leonid Levin

Leonid Levin 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 Leonid Levin rather than just read about it. In short: Leonid Anatolievich Levin ( LAY-oh-NEED LEV-in; Russian: Леони́д Анато́льевич Ле́вин [lʲɪɐˈnʲit ɐnɐˈtolʲjɪvʲɪtɕ ˈlʲevʲɪn]; Ukrainian: Леоні́д Анато́лійович Ле́він [leoˈn⁽ʲ⁾id ɐnɐˈtɔl⁽ʲ⁾ijowɪtʃ ˈlɛwin]; born November 2, 1948) is a Soviet-American mathematician and computer scientist. He is known for his work in randomness in computing, algorithmic complexity and intractability, average-case complexity, foundations of…

Leonid Levin — main illustration
Leonid Levin — illustration

Key takeaways

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

Reference excerpt

Leonid Anatolievich Levin ( LAY-oh-NEED LEV-in; Russian: Леони́д Анато́льевич Ле́вин [lʲɪɐˈnʲit ɐnɐˈtolʲjɪvʲɪtɕ ˈlʲevʲɪn]; Ukrainian: Леоні́д Анато́лійович Ле́він [leoˈn⁽ʲ⁾id ɐnɐˈtɔl⁽ʲ⁾ijowɪtʃ ˈlɛwin]; born November 2, 1948) is a Soviet-American mathematician and computer scientist. He is known for his work in randomness in computing, algorithmic complexity and intractability, average-case complexity, foundations of mathematics and computer science, algorithmic probability, theory of computation, and information theory. He obtained his master's degree at Moscow University in 1970 where he studied under Andrey Kolmogorov and completed the Candidate Degree academic requirements in 1972. He and Stephen Cook independently discovered the existence of NP-complete problems. This NP-completeness theorem, often called the Cook–Levin theorem, was a basis for one of the seven Millennium Prize Problems declared by the Clay Mathematics Institute with a $1,000,000 prize offered. The Cook–Levin theorem was a breakthrough in computer science and an important step in the development of the theory of computational complexity. Levin was awarded the Knuth Prize in 2012 for his discovery of NP-completeness and the development of average-case complexity. He is a member of the US National Academy of Sciences and a fellow of the American Academy of Arts and Sciences.

Biography He obtained his master's degree at Moscow University in 1970 where he studied under Andrey Kolmogorov and completed the Candidate Degree academic requirements in 1972. After researching algorithmic problems of information theory at the Moscow Institute of Information Transmission of the National Academy of Sciences in 1972–1973, and a position as senior research scientist at the Moscow National Research Institute of Integrated Automation for the Oil/Gas Industry in 1973–1977, he emigrated to the U.S. in 1978 and also earned a Ph.D. at the Massachusetts Institute of Technology (MIT) in 1979. His advisor at MIT was Albert R. Meyer. He is well known for his work in randomness in computing, algorithmic complexity and intractability, average-case complexity, foundations of mathematics and computer science, algorithmic probability, theory of computation, and information theory. His life is described in a chapter of the book Out of Their Minds: The Lives and Discoveries of 15 Great Computer Scientists. Levin and Stephen Cook independently discovered the existence of NP-complete problems. This NP-completeness theorem, often called the Cook–Levin theorem, was a basis for one of the seven Millennium Prize Problems declared by the Clay Mathematics Institute with a $1,000,000 prize offered. The Cook–Levin theorem was a breakthrough in computer science and an important step in the development of the theory of computational complexity. Levin's journal article on this theorem was published in 1973; he had lectured on the ideas in it for some years before that time (see Trakhtenbrot's survey), though complete formal writing of the results took place after Cook's publication. Levin was awarded the Knuth Prize in 2012 for his discovery of NP-completeness and the development of average-case complexity. He is currently a professor of computer science at Boston University, where he began teaching in 1980.

Notes

References "Leonid A. Levin". Mathematics Genealogy Project.

External links

Levin's home page at Boston University. 2012 Knuth Prize to Leonid Levin

Illustrations

Leonid Levin illustration

Worked examples

Example 1 — a first encounter with Leonid Levin

Start with the simplest possible case. Write down what Leonid Levin 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 Leonid Levin 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 Leonid Levin 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 Leonid Levin

In research
Leonid Levin 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 Leonid Levin 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
Leonid Levin is common in secondary-school and first-year university syllabi. It links to neighbouring topics 1948 births, 20th-century American mathematicians, 21st-century American mathematicians, so understanding it makes those chapters shorter.
In everyday life
Look for Leonid Levin 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 Leonid Levin in 20 minutes

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

Frequently asked questions

What is Leonid Levin in simple terms?

Leonid Anatolievich Levin ( LAY-oh-NEED LEV-in; Russian: Леони́д Анато́льевич Ле́вин [lʲɪɐˈnʲit ɐnɐˈtolʲjɪvʲɪtɕ ˈlʲevʲɪn]; Ukrainian: Леоні́д Анато́лійович Ле́він [leoˈn⁽ʲ⁾id ɐnɐˈtɔl⁽ʲ⁾ijowɪtʃ ˈlɛwin]; born November 2, 1948) is a Soviet-American mathematician and computer scientist. He is known for…

Why does Leonid Levin 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 Leonid Levin?

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 Leonid Levin.

Tags

  • 1948 births
  • 20th-century American mathematicians
  • 21st-century American mathematicians
  • 21st-century Russian politicians
  • 21st-century Ukrainian mathematicians
  • American computer scientists
  • American information theorists
  • American people of Ukrainian-Jewish descent
  • Boston University faculty
  • Humboldt Research Award recipients
  • Knuth Prize laureates
  • Living people

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