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Patrick Michael Grundy

Patrick Michael Grundy 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 Patrick Michael Grundy rather than just read about it. In short: Patrick Michael Grundy (16 November 1917, Yarmouth, Isle of Wight – 4 November 1959) was an English mathematician and statistician. He was one of the eponymous co-discoverers of the Sprague–Grundy function and its application to the analysis of a wide class of combinatorial games.

Key takeaways

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

Reference excerpt

Patrick Michael Grundy (16 November 1917, Yarmouth, Isle of Wight – 4 November 1959) was an English mathematician and statistician. He was one of the eponymous co-discoverers of the Sprague–Grundy function and its application to the analysis of a wide class of combinatorial games.

Biography Grundy received his secondary education from Malvern College, to which he had obtained a Major Scholarship in 1931, and from which he graduated in 1935. While there, he demonstrated his aptitude for mathematics by winning three prizes in that subject. After leaving school he entered Clare College, Cambridge, on a Foundation Scholarship, where he read for the Mathematical Tripos from 1936 to 1939, earning first class honours in Part II and a distinction in Part III. The work for which he is best known appeared in his first paper, Mathematics and Games, first published in the Cambridge University Mathematical Society's magazine, Eureka in 1939, and reprinted by the same magazine in 1964. The main results of this paper were discovered independently by Grundy and by Roland Sprague, and had already been published by the latter in 1935. The key idea is that of a function that assigns a non-negative integer to each position of a class of combinatorial games, now called impartial games, and which greatly assists in the identification of winning and losing positions, and of the winning moves from the former. The number assigned to a position by this function is called its Grundy value (or Grundy number), and the function itself is called the Sprague–Grundy function, in honour of its co-discoverers. The procedures developed by Sprague and Grundy for using their function to analyse impartial games are collectively called Sprague–Grundy theory, and at least two different theorems concerning these procedures have been called Sprague–Grundy theorems. The maximum number of colors used by a greedy coloring algorithm is called the Grundy number, also after this work on games, as its definition has some formal similarities with the Sprague–Grundy theory. In 1939 Grundy began research in algebraic geometry as a research student at the University of Cambridge, eventually specialising in the theory of ideals. In 1941 he won a Smith's Prize for an essay entitled On the theory of R-modules, and his first research paper in the area, A generalisation of additive ideal theory, was published in the following year. In 1943 he was appointed to an assistant lectureship at the University College of Hull, which he left in 1944. He was awarded a Ph.D. from the University of Cambridge in 1945. Shortly after the end of World War II, Grundy moved away from the field of algebra to take up work in statistics. In 1947 he began formal training in the latter discipline at the Rothamsted Experimental Station under a Ministry of Agriculture scholarship, graduating in 1949, when he then joined the permanent staff of the former organisation as an Experimental Officer. In 1951 he was promoted to Senior Experimental Officer. During his time at Rothamsted he performed most of his published statistical research, which included investigations of problems in the design and analysis of experiments, sampling, composition of animal populations, and fitting truncated distributions. From 1954 to 1958 Grundy worked as a statistician at the National Institute for Educational Research. During this period, he collaborated with Michael Healy and D.H. Rees to extend Frank Yates's work on cost–benefit analysis of experimentation. The results of this collaboration were reported in an influential paper, Economic choice of the amount of experimentation, published in series B of the Journal of the Royal Statistical Society in 1956. In 1958 Grundy moved to a position in the Biometry Unit at Oxford. However, he retired from this position after only one term, due to ill health. Early in 1959 Grundy married Hilary Taylor, a former colleague from the National Institute of Educational Research. Although his health then greatly improved throughout 1959, he was unfortunately killed in an accident in November of that year.

List of Grundy's papers With the exception of the final item, this list is taken from Smith's obituary (1960). The first item is missing from Goddard's (1960) list, which is otherwise the same as Smith's.

… excerpt ends here. Continue reading the full article.

Worked examples

Example 1 — a first encounter with Patrick Michael Grundy

Start with the simplest possible case. Write down what Patrick Michael Grundy 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 Patrick Michael Grundy 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 Patrick Michael Grundy 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 Patrick Michael Grundy

In research
Patrick Michael Grundy 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 Patrick Michael Grundy 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
Patrick Michael Grundy is common in secondary-school and first-year university syllabi. It links to neighbouring topics 1917 births, 1959 deaths, 20th-century British statisticians, so understanding it makes those chapters shorter.
In everyday life
Look for Patrick Michael Grundy 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 Patrick Michael Grundy in 20 minutes

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

Frequently asked questions

What is Patrick Michael Grundy in simple terms?

Patrick Michael Grundy (16 November 1917, Yarmouth, Isle of Wight – 4 November 1959) was an English mathematician and statistician. He was one of the eponymous co-discoverers of the Sprague–Grundy function and its application to the analysis of a wide class of combinatorial games.

Why does Patrick Michael Grundy 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 Patrick Michael Grundy?

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 Patrick Michael Grundy.

Tags

  • 1917 births
  • 1959 deaths
  • 20th-century British statisticians
  • 20th-century English mathematicians
  • Algebraists
  • Alumni of Clare College, Cambridge
  • Combinatorial game theorists
  • English statisticians
  • Recreational mathematicians

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