engineering

Hans Witsenhausen

Hans Witsenhausen is a engineering 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 Hans Witsenhausen rather than just read about it. In short: Hans Sylvain Witsenhausen (6 May 1930 – 19 November 2016) is notable for his work in the fields of control theory and information theory, and their intersection. He has many foundational results including the intrinsic model in stochastic decentralized control, the Witsenhausen counterexample. his work on Turán graph, and the various notions of common information in information theory.

Key takeaways

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

Reference excerpt

Hans Sylvain Witsenhausen (6 May 1930 – 19 November 2016) is notable for his work in the fields of control theory and information theory, and their intersection. He has many foundational results including the intrinsic model in stochastic decentralized control, the Witsenhausen counterexample. his work on Turán graph, and the various notions of common information in information theory.

Education and career Witsenhausen received the I.C.M.E. degree in electrical engineering in 1953 and the degree of Licence en Sciences in mathematical physics in 1956, both from the Université libre de Bruxelles in Brussels, Belgium. He received the S.M. and Ph.D. degrees in electrical engineering from the Massachusetts Institute of Technology in 1964 and 1966, respectively. His doctoral thesis advisor was Michael Athans. From 1957 to 1959, Witsenhausen was engaged in problem analysis and programming at the European Computation Center in Brussels. From 1960 to 1963, he was a Senior Engineer at the Research and Computation Division of Electronic Associates, inc. in Princeton, New Jersey, where he worked on analog and hybrid computer techniques and on systems analysis problems. From 1963 to 1965, he was associated with the Electronic Systems Laboratory and the Lincoln Laboratory at MIT. From 1965 to 1966, he was a fellow of the Fannie and John Hertz Foundation. In 1966, Witsenhausen joined the AT&T Bell Labs, where he spent most of the remaining time of his career. In 1972, he was a senior fellow at the Imperial College London. From 1975 to 1976, he was also a Vinton Hayes Senior Fellow at Harvard University.

References

External links Hans S. Witsenhausen at the Mathematics Genealogy Project

Worked examples

Example 1 — a first encounter with Hans Witsenhausen

Start with the simplest possible case. Write down what Hans Witsenhausen claims or describes in one sentence, then invent the smallest concrete situation in which that sentence is true. In engineering, 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 Hans Witsenhausen 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 Hans Witsenhausen 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 Hans Witsenhausen

In research: Hans Witsenhausen appears in engineering 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 Hans Witsenhausen 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: Hans Witsenhausen is common in secondary-school and first-year university syllabi. It links to neighbouring topics 1930 births, 2016 deaths, 20th-century German Jews, so understanding it makes those chapters shorter.
In everyday life: Look for Hans Witsenhausen 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 Hans Witsenhausen in 20 minutes

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

Frequently asked questions

What is Hans Witsenhausen in simple terms?

Why does Hans Witsenhausen matter?

Because it connects several engineering 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 Hans Witsenhausen?

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 Hans Witsenhausen.