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Maxwell–Jüttner distribution

Maxwell–Jüttner distribution is a physics 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 Maxwell–Jüttner distribution rather than just read about it. In short: In physics, the Maxwell–Jüttner distribution, sometimes called Jüttner–Synge distribution, is the distribution of speeds of particles in a hypothetical gas of relativistic particles. Similar to the Maxwell–Boltzmann distribution, the Maxwell–Jüttner distribution considers a classical ideal gas where the particles are dilute and do not significantly interact with each other.

Maxwell–Jüttner distribution — main illustration
Maxwell–Jüttner distribution — illustration

Key takeaways

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

Reference excerpt

In physics, the Maxwell–Jüttner distribution, sometimes called Jüttner–Synge distribution, is the distribution of speeds of particles in a hypothetical gas of relativistic particles. Similar to the Maxwell–Boltzmann distribution, the Maxwell–Jüttner distribution considers a classical ideal gas where the particles are dilute and do not significantly interact with each other. The distinction from Maxwell–Boltzmann's case is that effects of special relativity are taken into account. In the limit of low temperatures T {\displaystyle T} much less than m c 2 / k B {\displaystyle mc^{2}/k_{\text{B}}} (where m {\displaystyle m} is the mass of the kind of particle making up the gas, c {\displaystyle c} is the speed of light and k B {\displaystyle k_{\text{B}}} is Boltzmann constant), this distribution becomes identical to the Maxwell–Boltzmann distribution. The distribution can be attributed to Ferencz Jüttner, who derived it in 1911. It has become known as the Maxwell–Jüttner distribution by analogy to the name Maxwell–Boltzmann distribution that is commonly used to refer to Maxwell's or Maxwellian distribution.

Definition

As the gas becomes hotter and k B T {\displaystyle k_{\text{B}}T} approaches or exceeds m c 2 {\displaystyle mc^{2}} , the probability distribution for γ = 1 / 1 − v 2 / c 2 {\textstyle \gamma =1/{\sqrt {1-v^{2}/c^{2}}}} in this relativistic Maxwellian gas is given by the Maxwell–Jüttner distribution:

f ( γ ) d γ = γ 2 β ( γ ) θ K 2 ( 1 θ ) e − γ / θ d γ {\displaystyle f(\gamma )\,\mathrm {d} \gamma ={\frac {\gamma ^{2}\,\beta (\gamma )}{\theta \operatorname {K} _{2}\!\left({\frac {1}{\theta }}\right)}}e^{-{\gamma }/{\theta }}\,\mathrm {d} \gamma }

where β = v c = 1 − 1 / γ 2 {\textstyle \beta ={\frac {v}{c}}={\sqrt {1-1/\gamma ^{2}}}} , θ = k B T m c 2 {\textstyle \theta ={\frac {k_{\text{B}}T}{mc^{2}}}} , and K 2 {\displaystyle \operatorname {K} _{2}} is the modified Bessel function of the second kind. Alternatively, this can be written in terms of the momentum as

f ( p ) d 3 p = 1 4 π θ K 2 ( 1 θ ) e − γ ( p ) / θ d 3 p ( m c ) 3 {\displaystyle f(\mathbf {p} )\,\mathrm {d} ^{3}\mathbf {p} ={\frac {1}{4\pi \theta \operatorname {K} _{2}\!\left({\frac {1}{\theta }}\right)}}e^{-\gamma (p)/\theta }\,{\frac {\mathrm {d} ^{3}\mathbf {p} }{(mc)^{3}}}}

… excerpt ends here. Continue reading the full article.

Worked examples

Example 1 — a first encounter with Maxwell–Jüttner distribution

Start with the simplest possible case. Write down what Maxwell–Jüttner distribution claims or describes in one sentence, then invent the smallest concrete situation in which that sentence is true. In physics, 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 Maxwell–Jüttner distribution 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 Maxwell–Jüttner distribution 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 Maxwell–Jüttner distribution

In research
Maxwell–Jüttner distribution appears in physics 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 Maxwell–Jüttner distribution 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
Maxwell–Jüttner distribution is common in secondary-school and first-year university syllabi. It links to neighbouring topics Gases, Particle statistics, Special relativity, so understanding it makes those chapters shorter.
In everyday life
Look for Maxwell–Jüttner distribution 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 Maxwell–Jüttner distribution in 20 minutes

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

Frequently asked questions

What is Maxwell–Jüttner distribution in simple terms?

In physics, the Maxwell–Jüttner distribution, sometimes called Jüttner–Synge distribution, is the distribution of speeds of particles in a hypothetical gas of relativistic particles. Similar to the Maxwell–Boltzmann distribution, the Maxwell–Jüttner distribution considers a classical ideal gas wher…

Why does Maxwell–Jüttner distribution matter?

Because it connects several physics 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 Maxwell–Jüttner distribution?

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 Maxwell–Jüttner distribution.

Tags

  • Gases
  • Particle statistics
  • Special relativity

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