mathematics

Imre Csiszár

Imre Csiszár 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 Imre Csiszár rather than just read about it. In short: Imre Csiszár (born 7 February 1938) is a Hungarian mathematician known for his contributions to information theory and probability theory. In 1996, he received the Claude E.

Key takeaways

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

Reference excerpt

Imre Csiszár (born 7 February 1938) is a Hungarian mathematician known for his contributions to information theory and probability theory. In 1996, he received the Claude E. Shannon Award, one of the highest honours in information theory.

Early life and education Csiszár was born in Miskolc, Hungary. He developed an interest in mathematics during middle school, influenced in part by his father, a forest engineer who applied mathematical methods in his work. He studied mathematics at Eötvös Loránd University in Budapest, receiving his diploma in 1961. He earned his PhD in 1967 and the Doctor of Mathematical Sciences degree in 1977.

Career and research Csiszár was influenced by mathematician Alfréd Rényi, particularly in the field of probability theory. He has been associated with the Alfréd Rényi Institute of Mathematics of the Hungarian Academy of Sciences since 1961, where he has held several positions, including head of the Information Theory Group and head of the Stochastics Department. He has also served as a professor of mathematics at Eötvös Loránd University. Throughout his career, he has held visiting positions at institutions including Bielefeld University, the University of Maryland, College Park, Stanford University, the University of Virginia, the University of Tokyo, and Nippon Telegraph and Telephone.

Honours and awards Csiszár is a Fellow of the IEEE and a member of several scientific societies, including the Bernoulli Society for Mathematical Statistics and Probability. His awards include:

Claude E. Shannon Award (1996) IEEE Richard W. Hamming Medal (2015) IEEE Information Theory Society Paper Award (1988) Academy Award for Interdisciplinary Research of the Hungarian Academy of Sciences (1989)

Publications With János Körner: Information Theory: Coding Theorems for Discrete Memoryless Systems. Academic Press, 1981; 2nd edition, Cambridge University Press, 2011. With Paul C. Shields: Information Theory and Statistics: A Tutorial. Now Publishers, 2004.

Personal life Csiszár is married and has four children.

External links Imre Csiszár at the Mathematics Genealogy Project IEEE Hamming Medal announcement

Illustrations

Imre Csiszár: Imre Csiszár in 1976 — Imre Csiszár in 1976

Worked examples

Example 1 — a first encounter with Imre Csiszár

Start with the simplest possible case. Write down what Imre Csiszár 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 Imre Csiszár 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 Imre Csiszár 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 Imre Csiszár

In research: Imre Csiszár 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 Imre Csiszár 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: Imre Csiszár is common in secondary-school and first-year university syllabi. It links to neighbouring topics 1938 births, Fellows of the IEEE, Hungarian mathematicians, so understanding it makes those chapters shorter.
In everyday life: Look for Imre Csiszár 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 Imre Csiszár in 20 minutes

Read the reference excerpt below once, without taking notes.
Close the page and write down what Imre Csiszár means in your own words.
Compare your version with the excerpt and mark what you missed.
Work through the three examples above with pen and paper.
Explain Imre Csiszár out loud to somebody else — or to Teacher Smith in the lgStudy chat.

Frequently asked questions

What is Imre Csiszár in simple terms?

Imre Csiszár (born 7 February 1938) is a Hungarian mathematician known for his contributions to information theory and probability theory. In 1996, he received the Claude E.

Why does Imre Csiszár 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 Imre Csiszár?

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 Imre Csiszár.