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Polylogarithm

Polylogarithm 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 Polylogarithm rather than just read about it. In short: In mathematics, the polylogarithm (also known as Jonquière's function, for Alfred Jonquière) is a special function Lis(z) of order s and argument z. Only for special values of s does the polylogarithm reduce to an elementary function such as the natural logarithm or a rational function.

Polylogarithm — main illustration
Polylogarithm — illustration

Key takeaways

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

Reference excerpt

In mathematics, the polylogarithm (also known as Jonquière's function, for Alfred Jonquière) is a special function Lis(z) of order s and argument z. Only for special values of s does the polylogarithm reduce to an elementary function such as the natural logarithm or a rational function. In quantum statistics, the polylogarithm function appears as the closed form of integrals of the Fermi–Dirac distribution and the Bose–Einstein distribution, and is also known as the Fermi–Dirac integral or the Bose–Einstein integral. In quantum electrodynamics, polylogarithms of positive integer order arise in the calculation of processes represented by higher-order Feynman diagrams. The polylogarithm function is equivalent to the Hurwitz zeta function — either function can be expressed in terms of the other — and both functions are special cases of the Lerch transcendent. Polylogarithms should not be confused with polylogarithmic functions, nor with the offset logarithmic integral Li(z), which has the same notation without the subscript.

The polylogarithm function is defined by a power series in z generalizing the Mercator series, which is also a Dirichlet series in s:

Li s ⁡ ( z ) = ∑ k = 1 ∞ z k k s = z + z 2 2 s + z 3 3 s + ⋯ {\displaystyle \operatorname {Li} _{s}(z)=\sum _{k=1}^{\infty }{z^{k} \over k^{s}}=z+{z^{2} \over 2^{s}}+{z^{3} \over 3^{s}}+\cdots }

This definition is valid for arbitrary complex order s and for all complex arguments z with |z| < 1; it can be extended to |z| ≥ 1 by the process of analytic continuation. (Here the denominator ks is understood as exp(s ln k)). The special case s = 1 involves the ordinary natural logarithm, Li1(z) = −ln(1−z), while the special cases s = 2 and s = 3 are called the dilogarithm (also referred to as Spence's function) and trilogarithm respectively. The name of the function comes from the fact that it may also be defined as the repeated integral of itself:

Li s + 1 ⁡ ( z ) = ∫ 0 z Li s ⁡ ( t ) t d t {\displaystyle \operatorname {Li} _{s+1}(z)=\int _{0}^{z}{\frac {\operatorname {Li} _{s}(t)}{t}}dt}

thus the dilogarithm is an integral of a function involving the logarithm, and so on. For nonpositive integer orders s, the polylogarithm is a rational function.

Properties In the case where the order s {\displaystyle s} is an integer, it will be represented by s = n {\displaystyle s=n} (or s = − n {\displaystyle s=-n} when negative). It is often convenient to define μ = ln ⁡ ( z ) {\displaystyle \mu =\ln(z)} where ln ⁡ ( z ) {\displaystyle \ln(z)} is the principal branch of the complex logarithm Ln ⁡ ( z ) {\displaystyle \operatorname {Ln} (z)} so that − π < Im ⁡ ( μ ) ≤ π . {\displaystyle -\pi <\operatorname {Im} (\mu )\leq \pi .} Also, all exponentiation will be assumed to be single-valued: z s = exp ⁡ ( s ln ⁡ ( z ) ) . {\displaystyle z^{s}=\exp(s\ln(z)).}

… excerpt ends here. Continue reading the full article.

Illustrations

Polylogarithm illustration
Polylogarithm illustration
Polylogarithm illustration
Polylogarithm illustration
Polylogarithm illustration

Worked examples

Example 1 — a first encounter with Polylogarithm

Start with the simplest possible case. Write down what Polylogarithm 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 Polylogarithm 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 Polylogarithm 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 Polylogarithm

In research
Polylogarithm 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 Polylogarithm 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
Polylogarithm is common in secondary-school and first-year university syllabi. It links to neighbouring topics Rational functions, Special functions, Zeta and L-functions, so understanding it makes those chapters shorter.
In everyday life
Look for Polylogarithm 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 Polylogarithm in 20 minutes

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

Frequently asked questions

What is Polylogarithm in simple terms?

In mathematics, the polylogarithm (also known as Jonquière's function, for Alfred Jonquière) is a special function Lis(z) of order s and argument z. Only for special values of s does the polylogarithm reduce to an elementary function such as the natural logarithm or a rational function.

Why does Polylogarithm 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 Polylogarithm?

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 Polylogarithm.

Tags

  • Rational functions
  • Special functions
  • Zeta and L-functions

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