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John's equation

John's 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 John's equation rather than just read about it. In short: John's equation is an ultrahyperbolic partial differential equation satisfied by the X-ray transform of a function. It is named after German-American mathematician Fritz John.

Key takeaways

  • John's 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 John's equation to a quantity you can measure, compute or draw — that is where exam questions come from.
  • Reproduce the core statement of John's equation from memory before moving on to harder problems.

Reference excerpt

John's equation is an ultrahyperbolic partial differential equation satisfied by the X-ray transform of a function. It is named after German-American mathematician Fritz John. Given a function f : R n → R {\displaystyle f\colon \mathbb {R} ^{n}\rightarrow \mathbb {R} } with compact support the X-ray transform is the integral over all lines in R n . {\displaystyle \mathbb {R} ^{n}.} We will parameterise the lines by pairs of points x , y ∈ R n , {\displaystyle x,y\in \mathbb {R} ^{n},} x ≠ y {\displaystyle x\neq y} on each line and define u {\displaystyle u} as the ray transform where

u ( x , y ) = ∫ − ∞ ∞ f ( x + t ( y − x ) ) d t . {\displaystyle u(x,y)=\int \limits _{-\infty }^{\infty }f(x+t(y-x))dt.}

Such functions u {\displaystyle u} are characterized by John's equations

∂ 2 u ∂ x i ∂ y j − ∂ 2 u ∂ y i ∂ x j = 0 {\displaystyle {\frac {\partial ^{2}u}{\partial x_{i}\partial y_{j}}}-{\frac {\partial ^{2}u}{\partial y_{i}\partial x_{j}}}=0}

which is proved by Fritz John for dimension three and by Kurusa for higher dimensions. In three-dimensional x-ray computerized tomography John's equation can be solved to fill in missing data, for example where the data is obtained from a point source traversing a curve, typically a helix. More generally an ultrahyperbolic partial differential equation (a term coined by Richard Courant) is a second order partial differential equation of the form

∑ i , j = 1 2 n a i j ∂ 2 u ∂ x i ∂ x j + ∑ i = 1 2 n b i ∂ u ∂ x i + c u = 0 {\displaystyle \sum \limits _{i,j=1}^{2n}a_{ij}{\frac {\partial ^{2}u}{\partial x_{i}\partial x_{j}}}+\sum \limits _{i=1}^{2n}b_{i}{\frac {\partial u}{\partial x_{i}}}+cu=0}

where n ≥ 2 {\displaystyle n\geq 2} , such that the quadratic form

∑ i , j = 1 2 n a i j ξ i ξ j {\displaystyle \sum \limits _{i,j=1}^{2n}a_{ij}\xi _{i}\xi _{j}}

can be reduced by a linear change of variables to the form

∑ i = 1 n ξ i 2 − ∑ i = n + 1 2 n ξ i 2 . {\displaystyle \sum \limits _{i=1}^{n}\xi _{i}^{2}-\sum \limits _{i=n+1}^{2n}\xi _{i}^{2}.}

It is not possible to arbitrarily specify the value of the solution on a non-characteristic hypersurface. John's paper however does give examples of manifolds on which an arbitrary specification of u can be extended to a solution.

… excerpt ends here. Continue reading the full article.

Worked examples

Example 1 — a first encounter with John's equation

Start with the simplest possible case. Write down what John's 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 John's 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 John's 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 John's equation

In research
John's 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 John's 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
John's equation is common in secondary-school and first-year university syllabi. It links to neighbouring topics Partial differential equations, X-ray computed tomography, so understanding it makes those chapters shorter.
In everyday life
Look for John's 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 John's equation in 20 minutes

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

Frequently asked questions

What is John's equation in simple terms?

John's equation is an ultrahyperbolic partial differential equation satisfied by the X-ray transform of a function. It is named after German-American mathematician Fritz John.

Why does John's 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 John's 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 John's equation.

Tags

  • Partial differential equations
  • X-ray computed tomography

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