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KPP–Fisher equation

KPP–Fisher equation 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 KPP–Fisher equation rather than just read about it. In short: In mathematics, Fisher-KPP equation (named after Ronald Fisher , Andrey Kolmogorov, Ivan Petrovsky, and Nikolai Piskunov) also known as the Fisher equation, Fisher–KPP equation, or KPP equation is the partial differential equation:It is a kind of reaction–diffusion system that can be used to model population growth and wave propagation. Details Fisher-KPP equation belongs to the class of reaction–diffusion equations…

KPP–Fisher equation — main illustration
KPP–Fisher equation — illustration

Key takeaways

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

Reference excerpt

In mathematics, Fisher-KPP equation (named after Ronald Fisher , Andrey Kolmogorov, Ivan Petrovsky, and Nikolai Piskunov) also known as the Fisher equation, Fisher–KPP equation, or KPP equation is the partial differential equation:It is a kind of reaction–diffusion system that can be used to model population growth and wave propagation.

Details Fisher-KPP equation belongs to the class of reaction–diffusion equations: in fact, it is one of the simplest semilinear reaction-diffusion equations, the one which has the inhomogeneous term

f ( u , x , t ) = r u ( 1 − u ) , {\displaystyle f(u,x,t)=ru(1-u),\,}

which can exhibit traveling wave solutions that switch between equilibrium states given by f ( u ) = 0 {\displaystyle f(u)=0} . Such equations occur, e.g., in ecology, physiology, combustion, crystallization, plasma physics, and in general phase transition problems. Fisher proposed this equation in his 1937 paper The wave of advance of advantageous genes in the context of population dynamics to describe the spatial spread of an advantageous allele and explored its travelling wave solutions. For every wave speed c ≥ 2 r D {\displaystyle c\geq 2{\sqrt {rD}}} ( c ≥ 2 {\displaystyle c\geq 2} in dimensionless form) it admits travelling wave solutions of the form

u ( x , t ) = v ( x ± c t ) ≡ v ( z ) , {\displaystyle u(x,t)=v(x\pm ct)\equiv v(z),\,}

where v {\displaystyle \textstyle v} is increasing and

lim z → − ∞ v ( z ) = 0 , lim z → ∞ v ( z ) = 1. {\displaystyle \lim _{z\rightarrow -\infty }v\left(z\right)=0,\quad \lim _{z\rightarrow \infty }v\left(z\right)=1.}

That is, the solution switches from the equilibrium state u = 0 to the equilibrium state u = 1. No such solution exists for c < 2. The wave shape for a given wave speed is unique. The travelling-wave solutions are stable against near-field perturbations, but not to far-field perturbations which can thicken the tail. One can prove using the comparison principle and super-solution theory that all solutions with compact initial data converge to waves with the minimum speed. For the special wave speed c = ± 5 / 6 {\displaystyle c=\pm 5/{\sqrt {6}}} , all solutions can be found in a closed form, with

v ( z ) = ( 1 + C e x p ( ∓ z / 6 ) ) − 2 {\displaystyle v(z)=\left(1+C\mathrm {exp} \left(\mp {z}/{\sqrt {6}}\right)\right)^{-2}}

where C {\displaystyle C} is arbitrary, and the above limit conditions are satisfied for C > 0 {\displaystyle C>0} . Proof of the existence of travelling wave solutions and analysis of their properties is often done by the phase space method.

KPP equation In the same year (1937) as Fisher, Kolmogorov, Petrovsky and Piskunov introduced the more general reaction-diffusion equation

∂ u ∂ t − ∂ 2 u ∂ x 2 = F ( u ) {\displaystyle {\frac {\partial u}{\partial t}}-{\frac {\partial ^{2}u}{\partial x^{2}}}=F(u)}

where F {\displaystyle F} is a sufficiently smooth function with the properties that

… excerpt ends here. Continue reading the full article.

Illustrations

KPP–Fisher equation: Numerical simulation of the Fisher–KPP equation. In colors: the solution u(t,x); in dots : slope corresponding to the theoretical velocity of the traveling wave.
Numerical simulation of the Fisher–KPP equation. In colors: the solution u(t,x); in dots : slope corresponding to the theoretical velocity of the traveling wave.

Worked examples

Example 1 — a first encounter with KPP–Fisher equation

Start with the simplest possible case. Write down what KPP–Fisher equation 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 KPP–Fisher equation 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 KPP–Fisher equation 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 KPP–Fisher equation

In research
KPP–Fisher equation 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 KPP–Fisher equation 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
KPP–Fisher equation is common in secondary-school and first-year university syllabi. It links to neighbouring topics Partial differential equations, Population ecology, Ronald Fisher, so understanding it makes those chapters shorter.
In everyday life
Look for KPP–Fisher equation 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 KPP–Fisher equation in 20 minutes

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

Frequently asked questions

What is KPP–Fisher equation in simple terms?

In mathematics, Fisher-KPP equation (named after Ronald Fisher , Andrey Kolmogorov, Ivan Petrovsky, and Nikolai Piskunov) also known as the Fisher equation, Fisher–KPP equation, or KPP equation is the partial differential equation:It is a kind of reaction–diffusion system that can be used to model…

Why does KPP–Fisher equation 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 KPP–Fisher equation?

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 KPP–Fisher equation.

Tags

  • Partial differential equations
  • Population ecology
  • Ronald Fisher

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