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Norman L. Biggs

Norman L. Biggs 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 Norman L. Biggs rather than just read about it. In short: Norman Linstead Biggs (born 2 January 1941) is a British mathematician focusing on discrete mathematics and in particular algebraic combinatorics. Education Biggs was educated at Harrow County Grammar School and then studied mathematics at Selwyn College, Cambridge.

Key takeaways

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

Reference excerpt

Norman Linstead Biggs (born 2 January 1941) is a British mathematician focusing on discrete mathematics and in particular algebraic combinatorics.

Education Biggs was educated at Harrow County Grammar School and then studied mathematics at Selwyn College, Cambridge. In 1962, Biggs gained first-class honours in his third year of the university's undergraduate degree in mathematics.

1946–1952: Uxendon Manor Primary School, Kenton, Middlesex 1952–1959: Harrow County Grammar School 1959–1963: Selwyn College, Cambridge (Entrance Exhibition 1959, Scholarship 1961) 1960: First Class, Mathematical Tripos Pt. I 1962: Wrangler, Mathematical Tripos Pt. II; B.A. (Cantab.) 1963: Distinction, Mathematical Tripos Pt. III 1988: D.Sc. (London); M.A. (Cantab.)

Career He was a lecturer at University of Southampton, lecturer then reader at Royal Holloway, University of London, and Professor of Mathematics at the London School of Economics. He has been on the editorial board of a number of journals, including the Journal of Algebraic Combinatorics. He has been a member of the Council of the London Mathematical Society. He has written 12 books and over 100 papers on mathematical topics, many of them in algebraic combinatorics and its applications. He became Emeritus Professor in 2006 and continues to teach History of Mathematics in Finance and Economics for undergraduates. He is also vice-president of the British Society for the History of Mathematics.

Family Biggs married Christine Mary Farmer in 1975 and has one daughter Clare Juliet born in 1980.

Interests and Hobbies Biggs' interests include computational learning theory, the history of mathematics and historical metrology. Since 2006, he has been an emeritus professor at the London School of Economics. Biggs hobbies consist of writing about the history of weights and scales. He currently holds the position of Chair of the International Society of Antique Scale Collectors (Europe), and a member of the British Numismatic Society.

Work

Mathematics In 2002, Biggs wrote the second edition of Discrete Mathematics breaking down a wide range of topics into a clear and organised style. Biggs organised the book into four major sections; The Language of Mathematics, Techniques, Algorithms and Graphs, and Algebraic Methods. This book was an accumulation of Discrete Mathematics, first edition, textbook published in 1985 which dealt with calculations involving a finite number of steps rather than limiting processes. The second edition added nine new introductory chapters; Fundamental language of mathematicians, statements and proofs, the logical framework, sets and functions, and number system. This book stresses the significance of simple logical reasoning, shown by the exercises and examples given in the book. Each chapter contains modelled solutions, examples, exercises including hints and answers.

Algebraic Graph Theory In 1974, Biggs published Algebraic Graph Theory which articulates properties of graphs in algebraic terms, then works out theorems regarding them. In the first section, he tackles the applications of linear algebra and matrix theory; algebraic constructions such as adjacency matrix and the incidence matrix and their applications are discussed in depth. Next, there is a wide-ranging description of the theory of chromatic polynomials. The last section discusses symmetry and regularity properties. Biggs makes important connections with other branches of algebraic combinatorics and group theory.

Computational Learning Theory In 1997, N. Biggs and M. Anthony wrote a book titled Computational Learning Theory: an Introduction. Both Biggs and Anthony focused on the necessary background material from logic, probability, and complex theory. This book is an introduction to computational learning.

History of Mathematics Biggs contributed to thirteen journals and books developing topics such as the four-colour conjecture, the roots/history of combinatorics, calculus, Topology on the 19th century, and mathematicians. In addition, Biggs examined the ideas of William Ludlam, Thomas Harriot, John Arbuthnot, and Leonhard Euler.

Chip-Firing Game

The chip-firing game has been around for less than 20 years. It has become an important part of the study of structural combinatorics. The set of configurations that are stable and recurrent for this game can be given the structure of an abelian group. In addition, the order of the group is equal to the tree number of the graph.

Publications

Summary of Biggs' published Books on Mathematics Finite Groups of Automorphisms, Cambridge University Press (1971) Algebraic Graph Theory, Cambridge University Press (1974) Graph Theory, 1736–1936 (with E.K. Lloyd and R.J. Wilson), Oxford University Press (1976) (Japanese edition 1986) Interaction Models, Cambridge University Press (1977) Permutation Groups and Combinatorial Structures (with A.T. White), Cambridge University Press, (1979), (Chinese edition 1988) Discrete Mathematics, Oxford University Press (1989) (Spanish edition 1994) Introduction to Computing with Pascal, Oxford University Press (1989) Computational Learning Theory: an Introduction (with M. Anthony) (1997) Algebraic Graph Theory (Second Edition), Cambridge University Press (1993) Mathematics for Economics and Finance (with M. Anthony), Cambridge University Press (1996) (Chinese edition 1998; Japanese edition 2000) Discrete Mathematics, (Second Edition), Oxford University Press (2002) Codes: An Introduction to Information Communication and Cryptography, Springer Verlag (2008)

Summary of Biggs' latest published Papers on Mathematics 2000

'A matrix method for chromatic polynomials – II', CDAM Research Report Series, LSE-CDAM 2000–04, April 2000. (with P.Reinfeld), 'The chromatic roots of generalised dodecahedra', CDAM Research Report Series, LSE-CDAM 2000–07, June 2000. 2001

'Equimodular curves for reducible matrices', CDAM Research Report Series, LSE-CDAM 2001–01, January 2001. 'A matrix method for chromatic polynomials', Journal of Combinatorial Theory, Series B, 82 (2001) 19–29. 2002

'Chromatic polynomials for twisted bracelets', Bull. London Math. Soc. 34 (2002) 129–139. 'Chromatic polynomials and representations of the symmetric group', Linear Algebra and its Applications 356 (2002) 3–26. 'Equimodular curves', Discrete Mathematics 259 (2002) 37–57. 2004

… excerpt ends here. Continue reading the full article.

Worked examples

Example 1 — a first encounter with Norman L. Biggs

Start with the simplest possible case. Write down what Norman L. Biggs 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 Norman L. Biggs 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 Norman L. Biggs 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 Norman L. Biggs

In research
Norman L. Biggs 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 Norman L. Biggs 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
Norman L. Biggs is common in secondary-school and first-year university syllabi. It links to neighbouring topics 1941 births, 20th-century English mathematicians, 21st-century English mathematicians, so understanding it makes those chapters shorter.
In everyday life
Look for Norman L. Biggs 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 Norman L. Biggs in 20 minutes

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

Frequently asked questions

What is Norman L. Biggs in simple terms?

Norman Linstead Biggs (born 2 January 1941) is a British mathematician focusing on discrete mathematics and in particular algebraic combinatorics. Education Biggs was educated at Harrow County Grammar School and then studied mathematics at Selwyn College, Cambridge.

Why does Norman L. Biggs 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 Norman L. Biggs?

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 Norman L. Biggs.

Tags

  • 1941 births
  • 20th-century English mathematicians
  • 21st-century English mathematicians
  • Academics of Royal Holloway, University of London
  • Academics of the London School of Economics
  • Academics of the University of Southampton
  • Algebraists
  • Alumni of Selwyn College, Cambridge
  • Alumni of the University of London
  • British historians of mathematics
  • British theoretical computer scientists
  • Living people

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