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Newtonian potential

Newtonian potential 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 Newtonian potential rather than just read about it. In short: In mathematics, the Newtonian potential, or Newton potential, is an operator in vector calculus that acts as the inverse to the negative Laplacian on functions that are smooth and decay rapidly enough at infinity. As such, it is a fundamental object of study in potential theory.

Key takeaways

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

Reference excerpt

In mathematics, the Newtonian potential, or Newton potential, is an operator in vector calculus that acts as the inverse to the negative Laplacian on functions that are smooth and decay rapidly enough at infinity. As such, it is a fundamental object of study in potential theory. In its general nature, it is a singular integral operator, defined by convolution with a function having a mathematical singularity at the origin, the Newtonian kernel Γ {\displaystyle \Gamma } which is the fundamental solution of the Laplace equation. It is named for Isaac Newton, who first discovered it and proved that it was a harmonic function in the special case of three variables, where it served as the fundamental gravitational potential in Newton's law of universal gravitation. In modern potential theory, the Newtonian potential is instead thought of as an electrostatic potential. The Newtonian potential of a compactly supported integrable function f {\displaystyle f} is defined as the convolution

u ( x ) = Γ ∗ f ( x ) = ∫ R d Γ ( x − y ) f ( y ) d y {\displaystyle u(x)=\Gamma *f(x)=\int _{\mathbb {R} ^{d}}\Gamma (x-y)f(y)\,dy}

where the Newtonian kernel Γ {\displaystyle \Gamma } in dimension d {\displaystyle d} is defined by

Γ ( x ) = { 1 2 π log ⁡ | x | , d = 2 , 1 d ( 2 − d ) ω d | x | 2 − d , d ≠ 2. {\displaystyle \Gamma (x)={\begin{cases}{\frac {1}{2\pi }}\log {|x|},&d=2,\\{\frac {1}{d(2-d)\omega _{d}}}|x|^{2-d},&d\neq 2.\end{cases}}}

Here ω d {\displaystyle \omega _{d}} is the volume of the unit d-ball (sometimes sign conventions may vary; compare (Evans 1998) and (Gilbarg & Trudinger 1983)). For example, for d = 3 {\displaystyle d=3} we have Γ ( x ) = − 1 / ( 4 π | x | ) {\displaystyle \Gamma (x)=-1/(4\pi |x|)} . The Newtonian potential w {\displaystyle w} of f {\displaystyle f} is a solution of the Poisson equation

Δ w = f , {\displaystyle \Delta w=f,}

which is to say that the operation of taking the Newtonian potential of a function is a partial inverse to the Laplace operator. Then w {\displaystyle w} will be a classical solution, that is twice differentiable, if f {\displaystyle f} is bounded and locally Hölder continuous as shown by Otto Hölder. It was an open question whether continuity alone is also sufficient. This was shown to be wrong by Henrik Petrini who gave an example of a continuous f {\displaystyle f} for which w {\displaystyle w} is not twice differentiable. The solution is not unique, since addition of any harmonic function to w {\displaystyle w} will not affect the equation. This fact can be used to prove existence and uniqueness of solutions to the Dirichlet problem for the Poisson equation in suitably regular domains, and for suitably well-behaved functions f {\displaystyle f} : one first applies a Newtonian potential to obtain a solution, and then adjusts by adding a harmonic function to get the correct boundary data. The Newtonian potential is defined more broadly as the convolution

Γ ∗ μ ( x ) = ∫ R d Γ ( x − y ) d μ ( y ) {\displaystyle \Gamma *\mu (x)=\int _{\mathbb {R} ^{d}}\Gamma (x-y)\,d\mu (y)}

… excerpt ends here. Continue reading the full article.

Worked examples

Example 1 — a first encounter with Newtonian potential

Start with the simplest possible case. Write down what Newtonian potential 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 Newtonian potential 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 Newtonian potential 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 Newtonian potential

In research
Newtonian potential 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 Newtonian potential 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
Newtonian potential is common in secondary-school and first-year university syllabi. It links to neighbouring topics Harmonic functions, Isaac Newton, Partial differential equations, so understanding it makes those chapters shorter.
In everyday life
Look for Newtonian potential 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 Newtonian potential in 20 minutes

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

Frequently asked questions

What is Newtonian potential in simple terms?

In mathematics, the Newtonian potential, or Newton potential, is an operator in vector calculus that acts as the inverse to the negative Laplacian on functions that are smooth and decay rapidly enough at infinity. As such, it is a fundamental object of study in potential theory.

Why does Newtonian potential 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 Newtonian potential?

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 Newtonian potential.

Tags

  • Harmonic functions
  • Isaac Newton
  • Partial differential equations
  • Potential theory
  • Singular integrals

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