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LSZ reduction formula

LSZ reduction formula 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 LSZ reduction formula rather than just read about it. In short: In quantum field theory, the Lehmann–Symanzik–Zimmermann (LSZ) reduction formula is a method to calculate S-matrix elements (the scattering amplitudes) from the time-ordered correlation functions of a quantum field theory. It is a step of the path that starts from the Lagrangian of some quantum field theory and leads to prediction of measurable quantities.

LSZ reduction formula — main illustration
LSZ reduction formula — illustration

Key takeaways

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

Reference excerpt

In quantum field theory, the Lehmann–Symanzik–Zimmermann (LSZ) reduction formula is a method to calculate S-matrix elements (the scattering amplitudes) from the time-ordered correlation functions of a quantum field theory. It is a step of the path that starts from the Lagrangian of some quantum field theory and leads to prediction of measurable quantities. It is named after the three German physicists Harry Lehmann, Kurt Symanzik and Wolfhart Zimmermann. Although the LSZ reduction formula cannot handle bound states, massless particles and topological solitons, it can be generalized to cover bound states, by use of composite fields which are often nonlocal. Furthermore, the method, or variants thereof, have turned out to be also fruitful in other fields of theoretical physics. For example, in statistical physics they can be used to get a particularly general formulation of the fluctuation-dissipation theorem.

In and out fields S-matrix elements are probability amplitudes of transitions between in states and out states. An in state | { p } i n ⟩ {\displaystyle |\{p\}\ \mathrm {in} \rangle } describes the state of a system of particles which, in a far away past, before interacting, were moving freely with definite momenta {p}, and, conversely, an out state | { p } o u t ⟩ {\displaystyle |\{p\}\ \mathrm {out} \rangle } describes the state of a system of particles which, long after interaction, will be moving freely with definite momenta {p}. In and out states are states in Heisenberg picture so they should not be thought to describe particles at a definite time, but rather to describe the system of particles in its entire evolution, so that the S-matrix element:

S f i = ⟨ { q } o u t | { p } i n ⟩ {\displaystyle S_{\rm {fi}}=\langle \{q\}\ \mathrm {out} |\{p\}\ \mathrm {in} \rangle }

is the probability amplitude for a set of particles which were prepared with definite momenta {p} to interact and be measured later as a new set of particles with momenta {q}. The easy way to build in and out states is to seek appropriate field operators that provide the right creation and annihilation operators. These fields are called respectively in and out fields: Just to fix ideas, suppose we deal with a Klein–Gordon field that interacts in some way:

L = 1 2 ∂ μ φ ∂ μ φ − 1 2 m 0 2 φ 2 + L i n t {\displaystyle {\mathcal {L}}={\frac {1}{2}}\partial _{\mu }\varphi \partial ^{\mu }\varphi -{\frac {1}{2}}m_{0}^{2}\varphi ^{2}+{\mathcal {L}}_{\mathrm {int} }}

L i n t {\displaystyle {\mathcal {L}}_{\mathrm {int} }} may contain a self interaction gφ3 or interaction with other fields, like a Yukawa interaction g φ ψ ¯ ψ {\displaystyle g\ \varphi {\bar {\psi }}\psi } . From this Lagrangian, using Euler–Lagrange equations, the equation of motion follows:

( ∂ 2 + m 0 2 ) φ ( x ) = j 0 ( x ) {\displaystyle \left(\partial ^{2}+m_{0}^{2}\right)\varphi (x)=j_{0}(x)}

where, if L i n t {\displaystyle {\mathcal {L}}_{\mathrm {int} }} does not contain derivative couplings:

j 0 = ∂ L i n t ∂ φ {\displaystyle j_{0}={\frac {\partial {\mathcal {L}}_{\mathrm {int} }}{\partial \varphi }}}

… excerpt ends here. Continue reading the full article.

Illustrations

LSZ reduction formula illustration

Worked examples

Example 1 — a first encounter with LSZ reduction formula

Start with the simplest possible case. Write down what LSZ reduction formula 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 LSZ reduction formula 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 LSZ reduction formula 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 LSZ reduction formula

In research
LSZ reduction formula 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 LSZ reduction formula 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
LSZ reduction formula is common in secondary-school and first-year university syllabi. It links to neighbouring topics Quantum field theory, so understanding it makes those chapters shorter.
In everyday life
Look for LSZ reduction formula 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 LSZ reduction formula in 20 minutes

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

Frequently asked questions

What is LSZ reduction formula in simple terms?

In quantum field theory, the Lehmann–Symanzik–Zimmermann (LSZ) reduction formula is a method to calculate S-matrix elements (the scattering amplitudes) from the time-ordered correlation functions of a quantum field theory. It is a step of the path that starts from the Lagrangian of some quantum fie…

Why does LSZ reduction formula 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 LSZ reduction formula?

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 LSZ reduction formula.

Tags

  • Quantum field theory

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