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John McKay (mathematician)

John McKay (mathematician) 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 John McKay (mathematician) rather than just read about it. In short: John K. S.

Key takeaways

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

Reference excerpt

John K. S. McKay ( mə-KYE; 18 November 1939 – 19 April 2022) was a British-Canadian mathematician and academic who worked at Concordia University, known for his discovery of monstrous moonshine, his joint construction of some sporadic simple groups, for the McKay conjecture in representation theory, and for the McKay correspondence relating certain finite groups to Lie groups.

Biography McKay was educated at Dulwich College, earned his Bachelor and Diploma in 1961 and 1962 at the University of Manchester, and his PhD in 1971 from the University of Edinburgh. Since 1974 he worked at Concordia University, since 1979 as a professor in computer science. He was elected a fellow of the Royal Society of Canada in 2000, and won the 2003 CRM-Fields-PIMS prize. In April 2007 a Joint Conference was organised by the Université de Montréal and Concordia University honouring four decades of McKay's work.

See also ADE classification Centre de Recherches Mathématiques

References

External links John McKay web page at CRM Archived 17 July 2017 at the Wayback Machine CRM-Fields prize John McKay on INSPIRE-HEP

Worked examples

Example 1 — a first encounter with John McKay (mathematician)

Start with the simplest possible case. Write down what John McKay (mathematician) 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 John McKay (mathematician) 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 John McKay (mathematician) 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 John McKay (mathematician)

In research
John McKay (mathematician) 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 John McKay (mathematician) 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
John McKay (mathematician) is common in secondary-school and first-year university syllabi. It links to neighbouring topics 1939 births, 2022 deaths, 20th-century Canadian mathematicians, so understanding it makes those chapters shorter.
In everyday life
Look for John McKay (mathematician) 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 John McKay (mathematician) in 20 minutes

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

Frequently asked questions

What is John McKay (mathematician) in simple terms?

John K. S.

Why does John McKay (mathematician) 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 John McKay (mathematician)?

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 John McKay (mathematician).

Tags

  • 1939 births
  • 2022 deaths
  • 20th-century Canadian mathematicians
  • 20th-century English mathematicians
  • 21st-century Canadian mathematicians
  • 21st-century English mathematicians
  • Academic staff of Concordia University
  • Alumni of the University of Edinburgh
  • Alumni of the University of Manchester
  • British mathematicians
  • English emigrants to Canada
  • Fellows of the Royal Society of Canada

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