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Pierre François Verhulst

Pierre François Verhulst 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 Pierre François Verhulst rather than just read about it. In short: Pierre François Verhulst (28 October 1804, in Brussels – 15 February 1849, in Brussels) was a Belgian mathematician and a doctor in number theory from the University of Ghent in 1825. He is best known for the logistic growth model.

Pierre François Verhulst — main illustration
Pierre François Verhulst — illustration

Key takeaways

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

Reference excerpt

Pierre François Verhulst (28 October 1804, in Brussels – 15 February 1849, in Brussels) was a Belgian mathematician and a doctor in number theory from the University of Ghent in 1825. He is best known for the logistic growth model.

Biography Pierre François Verhulst was born in the French Empire, now Brussels. His family was a wealthy family, being able to give him a high-quality education and promoting his later career. He could obtain his doctorate on August 3rd in 1825.

Logistic equation

Verhulst developed the logistic function in a series of three papers between 1838 and 1847, based on research on modeling population growth that he conducted in the mid-1830s, under the guidance of Adolphe Quetelet; see Logistic function § History for details. Verhulst published in Verhulst (1838) the equation:

d N d t = r N − α N 2 {\displaystyle {\frac {dN}{dt}}=rN-\alpha N^{2}}

where N(t) represents number of individuals at time t, r the intrinsic growth rate, and α {\displaystyle \alpha } is the density-dependent crowding effect (also known as intraspecific competition). In this equation, the population equilibrium (sometimes referred to as the carrying capacity, K), N ∗ {\displaystyle N^{*}} , is

N ∗ = r α {\displaystyle N^{*}={\frac {r}{\alpha }}} . In Verhulst (1845) he named the solution the logistic curve. Later, Raymond Pearl and Lowell Reed popularized the equation, but with a presumed equilibrium, K, as

d N d t = r N ( 1 − N K ) {\displaystyle {\frac {dN}{dt}}=rN\left(1-{\frac {N}{K}}\right)}

where K sometimes represents the maximum number of individuals that the environment can support. In relation to the density-dependent crowding effect, α = r K {\displaystyle \alpha ={\frac {r}{K}}} . The Pearl-Reed logistic equation can be integrated exactly, and has solution

N ( t ) = K 1 + C K e − r t {\displaystyle N(t)={\frac {K}{1+CKe^{-rt}}}}

where C = 1/N(0) − 1/K is determined by the initial condition N(0). The solution can also be written as a weighted harmonic mean of the initial condition and the carrying capacity,

1 N ( t ) = 1 − e − r t K + e − r t N ( 0 ) . {\displaystyle {\frac {1}{N(t)}}={\frac {1-e^{-rt}}{K}}+{\frac {e^{-rt}}{N(0)}}.}

Although the continuous-time logistic equation is often compared to the logistic map because of similarity of form, it is actually more closely related to the Beverton–Holt model of fisheries recruitment. The concept of R/K selection theory derives its name from the competing dynamics of exponential growth and carrying capacity introduced by the equations above.

See also Population dynamics Logistic map Logistic distribution

Works Verhulst, Pierre-François (1838). "Notice sur la loi que la population suit dans son accroissement". Correspondance mathématique et physique. 10: 113–121. Retrieved 18 February 2013. Verhulst, Pierre-François (1841). Traité élémentaire des fonctions elliptiques : ouvrage destiné à faire suite aux traités élémentaires de calcul intégral. Bruxelles: Hayez. Retrieved 18 February 2013. Verhulst, Pierre-François (1845). "Recherches mathématiques sur la loi d'accroissement de la population" [Mathematical Researches into the Law of Population Growth Increase]. Nouveaux Mémoires de l'Académie Royale des Sciences et Belles-Lettres de Bruxelles. 18: 1–42. doi:10.3406/marb.1845.3438. Retrieved 18 February 2013. Verhulst, Pierre-François (1847). "Deuxième mémoire sur la loi d'accroissement de la population". Mémoires de l'Académie Royale des Sciences, des Lettres et des Beaux-Arts de Belgique. 20: 1–32. doi:10.3406/marb.1847.3457. Retrieved 18 February 2013.

References

External links O'Connor, John J.; Robertson, Edmund F., "Pierre François Verhulst", MacTutor History of Mathematics Archive, University of St Andrews

Illustrations

Pierre François Verhulst: Pierre François Verhulst
Pierre François Verhulst

Worked examples

Example 1 — a first encounter with Pierre François Verhulst

Start with the simplest possible case. Write down what Pierre François Verhulst 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 Pierre François Verhulst 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 Pierre François Verhulst 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 Pierre François Verhulst

In research
Pierre François Verhulst 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 Pierre François Verhulst 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
Pierre François Verhulst is common in secondary-school and first-year university syllabi. It links to neighbouring topics 1804 births, 1849 deaths, 19th-century Belgian male writers, so understanding it makes those chapters shorter.
In everyday life
Look for Pierre François Verhulst 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 Pierre François Verhulst in 20 minutes

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

Frequently asked questions

What is Pierre François Verhulst in simple terms?

Pierre François Verhulst (28 October 1804, in Brussels – 15 February 1849, in Brussels) was a Belgian mathematician and a doctor in number theory from the University of Ghent in 1825. He is best known for the logistic growth model.

Why does Pierre François Verhulst 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 Pierre François Verhulst?

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 Pierre François Verhulst.

Tags

  • 1804 births
  • 1849 deaths
  • 19th-century Belgian male writers
  • Belgian mathematicians

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