mathematics

Norair Arakelian

Norair Arakelian 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 Norair Arakelian rather than just read about it. In short: Norair Hunani Arakelian, often cited as Arakelyan, (Armenian: Նորայր Հունանի Առաքելյան; 17 July 1936 – December 2023) was an Armenian and Soviet mathematician, specializing in approximation theory and complex analysis. He was known for Arakelian's approximation theorem.

Key takeaways

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

Reference excerpt

Norair Hunani Arakelian, often cited as Arakelyan, (Armenian: Նորայր Հունանի Առաքելյան; 17 July 1936 – December 2023) was an Armenian and Soviet mathematician, specializing in approximation theory and complex analysis. He was known for Arakelian's approximation theorem. Also, on the basis of his approximation theory results, Arakelian disproved an old conjecture of Rolf Nevanlinna from the value distribution theory. This and his other results Arakelian presented at the International Congress of Mathematicians at Nice in 1970. He died in December 2023, at the age of 87.

Education and career Born in the village of Megrashen, Arakelian enrolled at Yerevan State University (YSU) in 1953 and graduated there in 1958. In 1962 he received his Ph.D. (Russian candidate degree) from YSU with the thesis Uniform and tangential approximations by entire functions in the complex domain. From 1959 to 1980 he was Docent of the Chair of Function Theory of YSU. In 1970 he received his doctorate of science (Russian doctorate beyond the Ph.D.) with the thesis Some questions of approximation theory and the theory of entire functions). At the Institute of Mathematics of the Academy of Sciences of the Armenian Soviet Socialist Republic (and later of the Republic of Armenia), he was from 1971 to 1978 a Senior Scientific Researcher and later Head of the Department of Approximation Theory from 1978 to 1991 and from 1997 to 2004. He was the Rector of YSU from 1991 to 1993 and Head of Chair of Function Theory of YSU from 1992 to 2000. After 2005 he was Head of the Department of Complex Analysis at the Institute of Mathematics of the National Academy Sciences of Armenia. Arakelian supervised 10 Ph.D. theses on approximation theory and complex analysis. He was a visiting professor at the Université de Montréal and several western European universities. In 1970 he was an invited speaker at the International Congress of Mathematicians at Nice.

Awards Mesrop Mashtots Medal (14 October 14, 2013) – in connection with the 70th anniversary of the NAS Honored Scientist of the Republic of Armenia (2003) Lenin Komsomol Prize (1970) – "for a series of studies on the theory of functions."

References

Links Persons in Armenia (Russian)

Worked examples

Example 1 — a first encounter with Norair Arakelian

Start with the simplest possible case. Write down what Norair Arakelian 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 Norair Arakelian 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 Norair Arakelian 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 Norair Arakelian

In research: Norair Arakelian 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 Norair Arakelian 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: Norair Arakelian is common in secondary-school and first-year university syllabi. It links to neighbouring topics 1936 births, 2023 deaths, 20th-century Armenian mathematicians, so understanding it makes those chapters shorter.
In everyday life: Look for Norair Arakelian 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 Norair Arakelian in 20 minutes

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

Frequently asked questions

What is Norair Arakelian in simple terms?

Why does Norair Arakelian 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 Norair Arakelian?

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 Norair Arakelian.