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Maxime Bôcher

Maxime Bôcher 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 Maxime Bôcher rather than just read about it. In short: Maxime Bôcher (August 28, 1867 – September 12, 1918) was an American mathematician who published about 100 papers on differential equations, series, and algebra. He also wrote elementary texts such as Trigonometry and Analytic Geometry.

Maxime Bôcher — main illustration
Maxime Bôcher — illustration

Key takeaways

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

Reference excerpt

Maxime Bôcher (August 28, 1867 – September 12, 1918) was an American mathematician who published about 100 papers on differential equations, series, and algebra. He also wrote elementary texts such as Trigonometry and Analytic Geometry. Bôcher's theorem, Bôcher's equation, and the Bôcher Memorial Prize are named after him.

Life Bôcher was born in Boston, Massachusetts. His parents were Caroline Little and Ferdinand Bôcher]. Maxime's father was professor of modern languages at the Massachusetts Institute of Technology when Maxime was born, and became professor of French at Harvard University in 1872. Bôcher graduated from the Cambridge Latin School in 1883. He received his first degree from Harvard in 1888. At Harvard, he studied topics including mathematics, Latin, chemistry, philosophy, zoology, geography, geology, meteorology, Roman art, and music. Bôcher was awarded academic prizes, which allowed him to travel to Europe to do research. The University of Göttingen was then the leading mathematics university, and he attended there lectures by Felix Klein, Arthur Moritz Schoenflies, Hermann Schwarz, Issai Schur and Woldemar Voigt. He was awarded a doctorate in 1891 for his dissertation Über die Reihenentwicklungen der Potentialtheorie (German for "On the Development of the Potential Function into Series"); he was encouraged to study this topic by Klein. He received a Göttingen university prize for this work. Bocher was elected to the American Academy of Arts and Sciences in 1899, the United States National Academy of Sciences in 1909, and the American Philosophical Society in 1916. In Göttingen he met Marie Niemann, and they were married in July 1891. They had three children. He returned with his wife to Harvard where he was appointed as an instructor. In 1894 he was promoted to assistant professor. He became a full professor of mathematics in 1904. He was president of the American Mathematical Society from 1908 to 1910. He died at his Cambridge home aged 51 after suffering a prolonged illness.

Bôcher's theorem Bôcher's theorem states that the finite zeros of the derivative r ′ ( z ) {\displaystyle r'(z)} of a non-constant rational function r ( z ) {\displaystyle r(z)} that are not multiple zeros of r ( z ) {\displaystyle r(z)} are the positions of equilibrium in the field of force due to particles of positive mass at the zeros of r ( z ) {\displaystyle r(z)} and particles of negative mass at the poles of r ( z ) {\displaystyle r(z)} , with masses numerically equal to the respective multiplicities, where each particle repels with a force equal to the mass times the inverse distance.

Bôcher's equation Bôcher's equation is a second-order ordinary differential equation of the form:

y ″ + 1 2 [ m 1 x − a 1 + ⋯ + m n − 1 x − a n − 1 ] y ′ + 1 4 [ A 0 + A 1 x + ⋯ + A ℓ x ℓ ( x − a 1 ) 1 m ( x − a 2 ) 2 m ⋯ ( x − a n − 1 ) n − 1 m ] y = 0. {\displaystyle y''+{\frac {1}{2}}\left[{\frac {m_{1}}{x-a_{1}}}+\cdots +{\frac {m_{n-1}}{x-a_{n-1}}}\right]y'+{\frac {1}{4}}\left[{\frac {A_{0}+A_{1}x+\cdots +A_{\ell }x^{\ell }}{(x-a_{1})_{1}^{m}(x-a_{2})_{2}^{m}\cdots (x-a_{n-1})_{n-1}^{m}}}\right]y=0.}

… excerpt ends here. Continue reading the full article.

Worked examples

Example 1 — a first encounter with Maxime Bôcher

Start with the simplest possible case. Write down what Maxime Bôcher 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 Maxime Bôcher 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 Maxime Bôcher 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 Maxime Bôcher

In research
Maxime Bôcher 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 Maxime Bôcher 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
Maxime Bôcher is common in secondary-school and first-year university syllabi. It links to neighbouring topics 1867 births, 1918 deaths, 19th-century American mathematicians, so understanding it makes those chapters shorter.
In everyday life
Look for Maxime Bôcher 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 Maxime Bôcher in 20 minutes

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

Frequently asked questions

What is Maxime Bôcher in simple terms?

Maxime Bôcher (August 28, 1867 – September 12, 1918) was an American mathematician who published about 100 papers on differential equations, series, and algebra. He also wrote elementary texts such as Trigonometry and Analytic Geometry.

Why does Maxime Bôcher 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 Maxime Bôcher?

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 Maxime Bôcher.

Tags

  • 1867 births
  • 1918 deaths
  • 19th-century American mathematicians
  • 20th-century American mathematicians
  • American mathematical analysts
  • Cambridge Rindge and Latin School alumni
  • Harvard University Department of Mathematics faculty
  • Harvard University alumni
  • Mathematicians from Boston
  • Members of the American Philosophical Society
  • Members of the United States National Academy of Sciences
  • Presidents of the American Mathematical Society

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