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Kramers–Wannier duality

Kramers–Wannier duality 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 Kramers–Wannier duality rather than just read about it. In short: The Kramers–Wannier duality is a symmetry in statistical physics. It relates the free energy of a two-dimensional square-lattice Ising model at a low temperature to that of another Ising model at a high temperature.

Key takeaways

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

Reference excerpt

The Kramers–Wannier duality is a symmetry in statistical physics. It relates the free energy of a two-dimensional square-lattice Ising model at a low temperature to that of another Ising model at a high temperature. It was discovered by Hendrik Kramers and Gregory Wannier in 1941. With the aid of this duality Kramers and Wannier found the exact location of the critical point for the Ising model on the square lattice. Similar dualities establish relations between free energies of other statistical models. For instance, in 3 dimensions the Ising model is dual to an Ising gauge model.

Intuitive idea The 2-dimensional Ising model exists on a lattice, which is a collection of squares in a chessboard pattern. With the finite lattice, the edges can be connected to form a torus. In theories of this kind, one constructs an involutive transform. For instance, Lars Onsager suggested that the Star-Triangle transformation could be used for the triangular lattice. Now the dual of the discrete torus is itself. Moreover, the dual of a highly disordered system (high temperature) is a well-ordered system (low temperature). This is because the Fourier transform takes a high bandwidth signal (high standard deviation) to a low one (low standard deviation). So one has essentially the same theory with an inverse temperature. When one raises the temperature in one theory, one lowers the temperature in the other. If there is only one phase transition, it will be at the point at which they cross, at which the temperatures are equal. Because the 2D Ising model goes from a disordered state to an ordered state, there is a near one-to-one mapping between the disordered and ordered phases. The theory has been generalized, and is now blended with many other ideas. For instance, the square lattice is replaced by a circle, random lattice, nonhomogeneous torus, triangular lattice, labyrinth, lattices with twisted boundaries, chiral Potts model, and many others. One of the consequences of Kramers–Wannier duality is an exact correspondence in the spectrum of excitations on each side of the critical point. This was recently demonstrated via THz spectroscopy in Kitaev chains.

Derivation We define first the variables. In the two-dimensional square lattice Ising model the number of horizontal and vertical links are taken to be equal. The couplings J , J ′ {\displaystyle J,J'} of the spins σ i {\displaystyle \sigma _{i}} in the two directions are different, and one sets K ∗ = β J {\displaystyle K^{*}=\beta J} and L ∗ = β J ′ {\displaystyle L^{*}=\beta J'} with β = 1 / k T {\displaystyle \beta =1/kT} . The low temperature expansion of the N {\displaystyle N} spin partition function Z N {\displaystyle Z_{N}} for (K*,L*) obtained from the standard expansion

Z N ( K ∗ , L ∗ ) = 2 ∑ P ⊂ Λ D e K ∗ ( N − 2 s ) e L ∗ ( N − 2 r ) {\displaystyle Z_{N}(K^{*},L^{*})=2\sum _{P\subset \Lambda _{D}}e^{K^{*}(N-2s)}e^{L^{*}(N-2r)}}

is

Z N ( K ∗ , L ∗ ) = 2 e N ( K ∗ + L ∗ ) ∑ P ⊂ Λ D ( e − 2 L ∗ ) r ( e − 2 K ∗ ) s {\displaystyle Z_{N}(K^{*},L^{*})=2e^{N(K^{*}+L^{*})}\sum _{P\subset \Lambda _{D}}(e^{-2L^{*}})^{r}(e^{-2K^{*}})^{s}} , the factor 2 originating from a spin-flip symmetry for each P {\displaystyle P} . Here the sum over P {\displaystyle P} stands for summation over closed polygons on the lattice resulting in the graphical correspondence from the sum over spins with values ± 1 {\displaystyle \pm 1} . By using the following transformation to variables ( K , L ) {\displaystyle (K,L)} , i.e.

… excerpt ends here. Continue reading the full article.

Worked examples

Example 1 — a first encounter with Kramers–Wannier duality

Start with the simplest possible case. Write down what Kramers–Wannier duality 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 Kramers–Wannier duality 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 Kramers–Wannier duality 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 Kramers–Wannier duality

In research
Kramers–Wannier duality 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 Kramers–Wannier duality 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
Kramers–Wannier duality is common in secondary-school and first-year university syllabi. It links to neighbouring topics Exactly solvable models, Lattice models, Statistical mechanics, so understanding it makes those chapters shorter.
In everyday life
Look for Kramers–Wannier duality 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 Kramers–Wannier duality in 20 minutes

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

Frequently asked questions

What is Kramers–Wannier duality in simple terms?

The Kramers–Wannier duality is a symmetry in statistical physics. It relates the free energy of a two-dimensional square-lattice Ising model at a low temperature to that of another Ising model at a high temperature.

Why does Kramers–Wannier duality 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 Kramers–Wannier duality?

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 Kramers–Wannier duality.

Tags

  • Exactly solvable models
  • Lattice models
  • Statistical mechanics

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