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Mueller calculus

Mueller calculus 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 Mueller calculus rather than just read about it. In short: Mueller calculus is a matrix method for manipulating Stokes vectors, which represent the polarization of light. It was developed in 1943 by Hans Mueller.

Key takeaways

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

Reference excerpt

Mueller calculus is a matrix method for manipulating Stokes vectors, which represent the polarization of light. It was developed in 1943 by Hans Mueller. In this technique, the effect of a particular optical element is represented by a Mueller matrix—a 4×4 matrix that is an overlapping generalization of the Jones matrix.

Introduction Disregarding coherent wave superposition, any fully polarized, partially polarized, or unpolarized state of light can be represented by a Stokes vector ( S → {\displaystyle {\vec {S}}} ); and any optical element can be represented by a Mueller matrix (M). If a beam of light is initially in the state S → i {\displaystyle {\vec {S}}_{i}} and then passes through an optical element M and comes out in a state S → o {\displaystyle {\vec {S}}_{o}} , then it is written

S → o = M S → i . {\displaystyle {\vec {S}}_{o}=\mathrm {M} {\vec {S}}_{i}\ .}

If a beam of light passes through optical element M1 followed by M2 then M3 it is written

S → o = M 3 ( M 2 ( M 1 S → i ) ) {\displaystyle {\vec {S}}_{o}=\mathrm {M} _{3}\left(\mathrm {M} _{2}\left(\mathrm {M} _{1}{\vec {S}}_{i}\right)\right)}

given that matrix multiplication is associative it can be written

S → o = M 3 M 2 M 1 S → i . {\displaystyle {\vec {S}}_{o}=\mathrm {M} _{3}\mathrm {M} _{2}\mathrm {M} _{1}{\vec {S}}_{i}\ .}

Matrix multiplication is not commutative, so in general

M 3 M 2 M 1 S → i ≠ M 1 M 2 M 3 S → i . {\displaystyle \mathrm {M} _{3}\mathrm {M} _{2}\mathrm {M} _{1}{\vec {S}}_{i}\neq \mathrm {M} _{1}\mathrm {M} _{2}\mathrm {M} _{3}{\vec {S}}_{i}\ .}

Mueller vs. Jones calculi With disregard for coherence, light which is unpolarized or partially polarized must be treated using the Mueller calculus, while fully polarized light can be treated with either the Mueller calculus or the simpler Jones calculus. Many problems involving coherent light (such as from a laser) must be treated with Jones calculus, however, because it works directly with the electric field of the light rather than with its intensity or power, and thereby retains information about the phase of the waves. More specifically, the following can be said about Mueller matrices and Jones matrices:

Stokes vectors and Mueller matrices operate on intensities and their differences, i.e. incoherent superpositions of light; they are not adequate to describe either interference or diffraction effects. (...) Any Jones matrix [J] can be transformed into the corresponding Mueller–Jones matrix, M, using the following relation:

M = A ( J ⊗ J ∗ ) A − 1 {\displaystyle \mathrm {M=A(J\otimes J^{*})A^{-1}} } , where * indicates the complex conjugate [sic], [A is:]

… excerpt ends here. Continue reading the full article.

Worked examples

Example 1 — a first encounter with Mueller calculus

Start with the simplest possible case. Write down what Mueller calculus 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 Mueller calculus 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 Mueller calculus 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 Mueller calculus

In research
Mueller calculus 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 Mueller calculus 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
Mueller calculus is common in secondary-school and first-year university syllabi. It links to neighbouring topics Matrices (mathematics), Polarization (waves), so understanding it makes those chapters shorter.
In everyday life
Look for Mueller calculus 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 Mueller calculus in 20 minutes

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

Frequently asked questions

What is Mueller calculus in simple terms?

Mueller calculus is a matrix method for manipulating Stokes vectors, which represent the polarization of light. It was developed in 1943 by Hans Mueller.

Why does Mueller calculus 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 Mueller calculus?

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 Mueller calculus.

Tags

  • Matrices (mathematics)
  • Polarization (waves)

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