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Geoffrey Grimmett

Geoffrey Grimmett 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 Geoffrey Grimmett rather than just read about it. In short: Geoffrey Richard Grimmett (born 20 December 1950) is an English mathematician known for his work on the mathematics of random systems arising in probability theory and statistical mechanics, especially percolation theory and the contact process. He is the Professor of Mathematical Statistics in the Statistical Laboratory, University of Cambridge, and was the Master of Downing College, Cambridge, from 2013 to 2018.

Geoffrey Grimmett — main illustration
Geoffrey Grimmett — illustration

Key takeaways

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

Reference excerpt

Geoffrey Richard Grimmett (born 20 December 1950) is an English mathematician known for his work on the mathematics of random systems arising in probability theory and statistical mechanics, especially percolation theory and the contact process. He is the Professor of Mathematical Statistics in the Statistical Laboratory, University of Cambridge, and was the Master of Downing College, Cambridge, from 2013 to 2018.

Education Grimmett was educated at King Edward's School, Birmingham and Merton College, Oxford. He graduated in 1971, and completed his DPhil in 1974 under the supervision of John Hammersley and Dominic Welsh.

Career and research Grimmett served as the IBM Research Fellow at New College, Oxford, from 1974 to 1976 before moving to the University of Bristol. He was appointed Professor of Mathematical Statistics at the University of Cambridge in 1992, becoming a fellow of Churchill College, Cambridge. He was Director of the Statistical Laboratory from 1994 to 2000, Head of the Department of Pure Mathematics and Mathematical Statistics (DPMMS) from 2002 to 2007, and is a trustee of the Rollo Davidson Prize. Grimmett is particularly recognised for his achievements in the rigorous theory of disordered physical systems. Especially influential is his work on and around percolation theory, the contact model for stochastic spatial epidemics, and the random-cluster model, a class that includes the Ising/Potts models of ferromagnetism. His monograph on percolation is a standard work in a core area of probability, and is widely cited. His breadth within probability is emphasized by his important contributions to probabilistic combinatorics and probabilistic number theory. In October 2013 he was appointed Master of Downing College, Cambridge, succeeding Barry Everitt. He ended his term as Master on 30 September 2018, being replaced by Alan Bookbinder. He was appointed Chair of the Heilbronn Institute for Mathematical Research in September 2020. He was succeeded by Catherine Hobbs on September 1 2023.

Awards and honours Grimmett was awarded the Rollo Davidson Prize in 1989 and elected a Fellow of the Royal Society (FRS) in 2014.

Personal life Grimmett is the son of Benjamin J Grimmett and Patricia W (Lewis) Grimmett. He competed at the 1976 Summer Olympics in Montreal as a member of the Great Britain Men's Foil Team, finishing 6th.

References

This article incorporates text available under the CC BY 4.0 license.

Illustrations

Geoffrey Grimmett illustration

Worked examples

Example 1 — a first encounter with Geoffrey Grimmett

Start with the simplest possible case. Write down what Geoffrey Grimmett 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 Geoffrey Grimmett 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 Geoffrey Grimmett 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 Geoffrey Grimmett

In research
Geoffrey Grimmett 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 Geoffrey Grimmett 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
Geoffrey Grimmett is common in secondary-school and first-year university syllabi. It links to neighbouring topics 1950 births, 20th-century British statisticians, 20th-century English mathematicians, so understanding it makes those chapters shorter.
In everyday life
Look for Geoffrey Grimmett 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 Geoffrey Grimmett in 20 minutes

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

Frequently asked questions

What is Geoffrey Grimmett in simple terms?

Geoffrey Richard Grimmett (born 20 December 1950) is an English mathematician known for his work on the mathematics of random systems arising in probability theory and statistical mechanics, especially percolation theory and the contact process. He is the Professor of Mathematical Statistics in the…

Why does Geoffrey Grimmett 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 Geoffrey Grimmett?

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 Geoffrey Grimmett.

Tags

  • 1950 births
  • 20th-century British statisticians
  • 20th-century English mathematicians
  • 21st-century English mathematicians
  • 21st-century statisticians
  • Alumni of Merton College, Oxford
  • British fellows of the Royal Society
  • British male fencers
  • British mathematical statisticians
  • Cambridge mathematicians
  • English statisticians
  • Fellows of Churchill College, Cambridge

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