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Louis Bachelier

Louis Bachelier 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 Louis Bachelier rather than just read about it. In short: Louis Jean-Baptiste Alphonse Bachelier (French: [baʃəlje]; 11 March 1870 – 28 April 1946) was a French mathematician at the turn of the 20th century. He is credited with being the first person to model the stochastic process now called Brownian motion, as part of his doctoral thesis The Theory of Speculation (Théorie de la spéculation, defended in 1900).

Louis Bachelier — main illustration
Louis Bachelier — illustration

Key takeaways

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

Reference excerpt

Louis Jean-Baptiste Alphonse Bachelier (French: [baʃəlje]; 11 March 1870 – 28 April 1946) was a French mathematician at the turn of the 20th century. He is credited with being the first person to model the stochastic process now called Brownian motion, as part of his doctoral thesis The Theory of Speculation (Théorie de la spéculation, defended in 1900). Bachelier's doctoral thesis, which introduced the first mathematical model of Brownian motion and its use for valuing stock options, was the first paper to use advanced mathematics in the study of finance. His Bachelier model has been influential in the development of other widely used models, including the Black-Scholes model. Bachelier is considered as the forefather of mathematical finance and a pioneer in the study of stochastic processes.

Early years Bachelier was born in Le Havre, in Seine-Maritime. His father was a wine merchant and amateur scientist, and the vice-consul of Venezuela at Le Havre. His mother was the daughter of an important banker (who was also a writer of poetry books). Both of Louis's parents died just after he completed his high school diploma ("baccalauréat" in French), forcing him to take care of his sister and three-year-old brother and to assume the family business, which effectively put his graduate studies on hold. During this time Bachelier gained a practical acquaintance with the financial markets. His studies were further delayed by military service. Bachelier arrived in Paris in 1892 to study at the Sorbonne, where his grades were less than ideal.

The doctoral thesis Defended on 29 March 1900 at the University of Paris, Bachelier's thesis was not well received because it attempted to apply mathematics to an area mathematicians found unfamiliar. "Too much on finance," wrote Paul Lévy. However, his instructor, Henri Poincaré, is recorded as having given some positive feedback (though insufficient to secure Bachelier an immediate teaching position in France at that time). For example, Poincaré called his approach to deriving Gauss's law of errors

very original, and all the more interesting in that Fourier's reasoning can be extended with a few changes to the theory of errors. ... It is regrettable that M. Bachelier did not develop this part of his thesis further. The thesis received a grade of honorable, and was accepted for publication in the prestigious Annales Scientifiques de l’École Normale Supérieure. While it did not receive a mark of très honorable, despite its ultimate importance, the grade assigned is still interpreted as an appreciation for his contribution. Jean-Michel Courtault et al. point out in "On the Centenary of Théorie de la spéculation" that honorable was "the highest note which could be awarded for a thesis that was essentially outside mathematics and that had a number of arguments far from being rigorous".

Academic career For several years following the successful defense of his thesis, Bachelier further developed the theory of diffusion processes, and was published in prestigious journals. In 1909 he became a "free professor" at the Sorbonne. In 1914, he published a book, Le Jeu, la Chance, et le Hasard (Games, Chance, and Randomness), that sold over six thousand copies. With the support of the Council of the University of Paris, Bachelier was given a permanent professorship at the Sorbonne, but World War I intervened and he was drafted into the French army as a private. His army service ended on December 31, 1918. In 1919, he found a position as an assistant professor in Besançon, replacing a regular professor on leave. He married Augustine Jeanne Maillot in September 1920 but was soon widowed. When the professor returned in 1922, Bachelier replaced another professor at Dijon. He moved to Rennes in 1925, but was finally awarded a permanent professorship in 1927 at the University of Besançon, where he worked for 10 years until his retirement. Besides the setback that the war had caused him, Bachelier was blackballed in 1926 when he attempted to receive a permanent position at Dijon. This was due to a "misinterpretation" of one of Bachelier's papers by Professor Paul Lévy, who—to Bachelier's understandable fury—knew nothing of Bachelier's work, nor of the candidate that Lévy recommended above him. Lévy later learned of his error, and reconciled himself with Bachelier. Although Bachelier's work on random walks predated Einstein's celebrated study of Brownian motion by five years, the pioneering nature of his work was recognized only after several decades, first by Andrey Kolmogorov who pointed out his work to Paul Lévy, then by Leonard Jimmie Savage who translated Bachelier's thesis into English and brought the work of Bachelier to the attention of Paul Samuelson. The arguments Bachelier used in his thesis also predate Eugene Fama's efficient-market hypothesis, which is very closely related, as the idea of a random walk is suited to predict the random future in a stock market where everyone has all the available information. His work in finance is recognized as one of the foundations for the Black–Scholes model.

Works Bachelier 1900a, Théorie de la spéculation Also published as a book, Bachelier 1900b Republished in a book of combined works, Bachelier 1995 Translated into English, Cootner 1964, pp. 17–78 Translated into English with additional commentary and background, Bachelier et al. 2006 Translated into English, May 2011 Bachelier 1901, Théorie mathématique du jeu Republished in a book of combined works, Bachelier 1995 Bachelier 1906, Théorie des probabilités continues Bachelier 1908a, Étude sur les probabilités des causes Bachelier 1908b, Le problème général des probabilités dans les épreuves répétées Bachelier 1910a, Les probabilités à plusieurs variables Bachelier 1910b, Mouvement d’un point ou d’un système matériel soumis à l’action de forces dépendant du hasard Bachelier 1912, (Book) Calcul des probabilités Republished, Bachelier 1992 Bachelier 1913a, Les probabilités cinématiques et dynamiques Bachelier 1913b, Les probabilités semi-uniformes Bachelier 1914, (Book) Le Jeu, la Chance et le Hasard Republished, Bachelier 1993 Translated into English, Harding 2017 Bachelier 1915, La périodicité du hasard Bachelier 1920a, Sur la théorie des corrélations Bachelier 1920b, Sur les décimales du nombre π {\displaystyle {\pi }}

… excerpt ends here. Continue reading the full article.

Illustrations

Louis Bachelier illustration

Worked examples

Example 1 — a first encounter with Louis Bachelier

Start with the simplest possible case. Write down what Louis Bachelier 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 Louis Bachelier 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 Louis Bachelier 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 Louis Bachelier

In research
Louis Bachelier 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 Louis Bachelier 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
Louis Bachelier is common in secondary-school and first-year university syllabi. It links to neighbouring topics 1870 births, 1946 deaths, 19th-century French mathematicians, so understanding it makes those chapters shorter.
In everyday life
Look for Louis Bachelier 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 Louis Bachelier in 20 minutes

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

Frequently asked questions

What is Louis Bachelier in simple terms?

Louis Jean-Baptiste Alphonse Bachelier (French: [baʃəlje]; 11 March 1870 – 28 April 1946) was a French mathematician at the turn of the 20th century. He is credited with being the first person to model the stochastic process now called Brownian motion, as part of his doctoral thesis The Theory of S…

Why does Louis Bachelier 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 Louis Bachelier?

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 Louis Bachelier.

Tags

  • 1870 births
  • 1946 deaths
  • 19th-century French mathematicians
  • 20th-century French mathematicians
  • French probability theorists
  • French recipients of the Legion of Honour
  • Knights of the Legion of Honour
  • Scientists from Le Havre
  • University of Burgundy alumni
  • University of Paris alumni

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