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Gordon Douglas Slade

Gordon Douglas Slade 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 Gordon Douglas Slade rather than just read about it. In short: Gordon Douglas Slade (born December 14, 1955, in Toronto) is a Canadian mathematician, specializing in probability theory. Education Slade received in 1977 his bachelor's degree from the University of Toronto and in 1984 his PhD for research supervised by Joel Feldman and Lon Rosen at the University of British Columbia.

Gordon Douglas Slade — main illustration
Gordon Douglas Slade — illustration

Key takeaways

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

Reference excerpt

Gordon Douglas Slade (born December 14, 1955, in Toronto) is a Canadian mathematician, specializing in probability theory.

Education Slade received in 1977 his bachelor's degree from the University of Toronto and in 1984 his PhD for research supervised by Joel Feldman and Lon Rosen at the University of British Columbia.

Career and Research As a postdoc he was a lecturer at the University of Virginia. From 1986 he was at McMaster University and since 1999 he is a professor at the University of British Columbia. He developed the technique of lace expansion (originally introduced by David Brydges and Thomas C. Spencer in 1985) with applications to probability theory and statistical mechanics, such as self-avoiding random walks and their enumeration, random graphs, percolation theory, and branched polymers. In 1989 Slade proved with Takashi Hara that the Aizenman–Newman triangle condition at critical percolation is valid in sufficiently high dimension. The Hara–Slade result has important consequences in mean field theory. In 1991 Slade and Hara used the lace expansion to prove that the average distance covered in self-avoiding random walks in 5 or more dimension grows as the square root of the number of steps and that the scaling limit is Brownian motion.

Honours and awards Slade was an invited speaker in 1994 at the ICM in Zürich with lecture The critical behaviour of random systems. Slade received in 1995 the Coxeter–James Prize and in the 2010 the CRM-Fields-PIMS Prize. He was elected a Fellow of the Royal Society of Canada (FRSC) in 2000, in 2010 of the Fields Institute, and in 2012 of the American Mathematical Society and of the Institute of Mathematical Statistics. He was elected a Fellow of the Royal Society in 2017. In 2018 Slade was awarded the Jeffery–Williams Prize.

Selected publications with Neal Madras: Self-avoiding walk, Birkhäuser 1993 The lace expansion and its applications (École d’Eté de Probabilités de Saint-Flour XXXIV, 2004), Springer Verlag 2006

References

Illustrations

Gordon Douglas Slade illustration

Worked examples

Example 1 — a first encounter with Gordon Douglas Slade

Start with the simplest possible case. Write down what Gordon Douglas Slade 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 Gordon Douglas Slade 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 Gordon Douglas Slade 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 Gordon Douglas Slade

In research
Gordon Douglas Slade 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 Gordon Douglas Slade 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
Gordon Douglas Slade is common in secondary-school and first-year university syllabi. It links to neighbouring topics 1955 births, Academic staff of the University of British Columbia, Canadian fellows of the Royal Society, so understanding it makes those chapters shorter.
In everyday life
Look for Gordon Douglas Slade 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 Gordon Douglas Slade in 20 minutes

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

Frequently asked questions

What is Gordon Douglas Slade in simple terms?

Gordon Douglas Slade (born December 14, 1955, in Toronto) is a Canadian mathematician, specializing in probability theory. Education Slade received in 1977 his bachelor's degree from the University of Toronto and in 1984 his PhD for research supervised by Joel Feldman and Lon Rosen at the Universit…

Why does Gordon Douglas Slade 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 Gordon Douglas Slade?

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 Gordon Douglas Slade.

Tags

  • 1955 births
  • Academic staff of the University of British Columbia
  • Canadian fellows of the Royal Society
  • Canadian mathematicians
  • Fellows of the American Mathematical Society
  • Fellows of the Institute of Mathematical Statistics
  • Fellows of the Royal Society of Canada
  • Living people
  • Probability theorists
  • University of British Columbia alumni
  • University of Toronto alumni

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