Math 2.0

Quantum theory Definition

Quantum inverse scattering method

Builds on Yang–Baxter equationTensor product of vector spacesTrace of a matrix

Definition

Let V=ℂ2V = \C^2 be the auxiliary space and let ℋ=V1⊗⋯⊗VN\mathcal{H} = V_1 \otimes \dots \otimes V_N be the quantum space, a tensor product of copies VnV_n of ℂ2\C^2. Let R(λ)∈End⁡(V⊗V)R(\lambda) \in \End(V \otimes V), for λ∈ℂ\lambda \in \C, be a solution of the Yang–Baxter equation with spectral parameter: R12(λ−μ)R13(λ)R23(μ)=R23(μ)R13(λ)R12(λ−μ).R_{12}(\lambda - \mu) R_{13}(\lambda) R_{23}(\mu) = R_{23}(\mu) R_{13}(\lambda) R_{12}(\lambda - \mu). The method consists of the following steps.

  1. Choose Lax operators L0n(λ)∈End⁡(V0⊗Vn)L_{0n}(\lambda) \in \End(V_0 \otimes V_n) that satisfy R00′(λ−μ)L0n(λ)L0′n(μ)=L0′n(μ)L0n(λ)R00′(λ−μ)R_{00'}(\lambda - \mu) L_{0n}(\lambda) L_{0'n}(\mu) = L_{0'n}(\mu) L_{0n}(\lambda) R_{00'}(\lambda - \mu), where V0,V0′V_0, V_{0'} are two copies of VV.
  2. Form the monodromy matrix T0(λ)=L0N(λ)⋯L01(λ)T_0(\lambda) = L_{0N}(\lambda) \cdots L_{01}(\lambda) and the transfer matrix t(λ)=tr⁡0T0(λ)∈End⁡(ℋ)t(\lambda) = \tr_0 T_0(\lambda) \in \End(\mathcal{H}), the partial trace over V0V_0.
  3. Write T0(λ)=(A(λ)B(λ)C(λ)D(λ))T_0(\lambda) = \begin{pmatrix} A(\lambda) & B(\lambda) \\ C(\lambda) & D(\lambda) \end{pmatrix} with entries in End⁡(ℋ)\End(\mathcal{H}). Take a reference vector Ω\Omega with C(λ)Ω=0C(\lambda) \Omega = 0 for all λ\lambda. Look for eigenvectors of all t(μ)t(\mu) of the form B(λ1)⋯B(λM)ΩB(\lambda_1) \cdots B(\lambda_M) \Omega.

Remarks

From step 1 the monodromy matrix satisfies the same relation, R(λ−μ)T(λ)T′(μ)=T′(μ)T(λ)R(λ−μ)R(\lambda - \mu) T(\lambda) T'(\mu) = T'(\mu) T(\lambda) R(\lambda - \mu), and when R(λ−μ)R(\lambda - \mu) is invertible taking traces gives [t(λ),t(μ)]=0[t(\lambda), t(\mu)] = 0 for all λ,μ\lambda, \mu. So t(λ)t(\lambda) is a generating function of commuting conserved quantities. The vector B(λ1)⋯B(λM)ΩB(\lambda_1) \cdots B(\lambda_M) \Omega is an eigenvector exactly when the λj\lambda_j satisfy the Bethe equations; this step is called the algebraic Bethe ansatz. Example: for the XXX chain one takes R(λ)=λI+iPR(\lambda) = \lambda I + i P, with PP the flip of ℂ2⊗ℂ2\C^2 \otimes \C^2, and L0n(λ)=λI+iP0nL_{0n}(\lambda) = \lambda I + i P_{0n}. Then L0n(0)=iP0nL_{0n}(0) = i P_{0n}, and the Heisenberg Hamiltonian is, up to additive and multiplicative constants, the logarithmic derivative ddλlog⁡t(λ)\frac{d}{d\lambda} \log t(\lambda) at λ=0\lambda = 0. Non-example: an arbitrary L0n(λ)L_{0n}(\lambda) without the relation of step 1 gives transfer matrices that in general do not commute, and no conserved quantities follow.

Reading path

To understand this page from the ground up, read these 6 pages in order. The foundations come first.

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Each page uses the pages above it. The colour of the bar on a box shows how strong the evidence is, and the box also gives it as text. The list has the same pages.
  • no evidence level
  1. Matrix definition
  2. Tensor product of vector spaces concept
  3. Yang–Baxter equation concept
  4. Square matrix definition
  5. Trace of a matrix definition
  6. Quantum inverse scattering method definition

Further reading

  1. Web https://en.wikipedia.org/wiki/Quantum_inverse_scattering_method
About this page
TagMF903KRQQ6
URIm2://MF903KRQQ6
Kinddefinition
WritingW0 stub
MSC81R12, 82B23, 37K15
DefinesQuantum inverse scattering method
UsesYang–Baxter equation, Tensor product of vector spaces, Trace of a matrix
Changed3 November 2026

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