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Regrouping two factors: the symmetry decomposition of a two-particle sector over an orbital and an internal factor
Statement
Assume the Axiom of Countable Choice (The Axiom of Countable Choice ()). Let be nonzero finite-dimensional complex Hilbert spaces (Hilbert space), , . All tensor products below are the completed tensor products of Hilbert tensor construction: inner product, completion and product bases, with elementary tensors , and all permutation projections and exchange operators are those of Permutation sector projections on the n-fold tensor power and The two-particle exchange operator and the symmetric and antisymmetric combinations for the displayed Hilbert space . Then:
(a) identification: the inclusion of the algebraic tensor product is a surjective linear isometry, so elementary tensors and finite sums of them may be treated as elements of the completed product without ambiguity; the same holds for and ;
(b) regrouping unitary: there is a unique bounded linear operator with for all , ; is unitary and its inverse is the unique bounded operator with ;
(c) exchange intertwining: , where is the bounded tensor product of the two exchange operators;
(d) symmetriser identities: and ; consequently maps onto the orthogonal direct sum and onto ;
(e) vector identities: for all and ,
(f) dimensions: with the two summands of (d) having dimensions and .
Facts & Assumptions
Given: The finite-dimensional nonzero complex Hilbert spaces of dimensions , their completed tensor products, the elementary tensors and the permutation projections and exchange operators of the cited items.
Tensor construction. For complex Hilbert spaces the inclusion is a linear isometry with dense image; is bilinear, and ; every element of is a finite sum of elementary tensors, and if and are orthonormal bases of and then is an orthonormal basis of (Hilbert tensor construction: inner product, completion and product bases clauses (a)-(d)).
Multilinear factorisation. For a finite list of modules over a commutative ring, every parenthesised tensor product represents multilinear maps from , and different parenthesizations are connected by the unique isomorphism preserving pure tensors (Finite iterated tensor products represent multilinear maps independently of parenthesization).
Finite-dimensional subspaces are closed. A subspace of a normed space that admits a finite basis is closed (A finite-dimensional normed subspace is closed).
Exchange operators and projections. For a Hilbert space , the exchange operator satisfies and and , and are the orthogonal projections with the corresponding ranges (The two-particle exchange operator and the symmetric and antisymmetric combinations clauses (a),(b), Permutation sector projections on the n-fold tensor power clauses (a),(c)).
Bounded tensor maps. For bounded operators on and on there is a unique bounded with , , , , and unitarity of gives unitarity of (Bounded tensor maps: extension, norm estimate, adjoint and commutation clauses (a)-(d), A bounded linear operator between normed spaces, The operator norm as the least bound and as the unit-sphere or unit-ball supremum).
Dimensions. For finite-dimensional vector spaces over a field one has ( with the product basis, and ); and , for a -dimensional space (Slater and symmetric occupation-number bases of the finite-dimensional permutation sectors clauses (b),(c)).
Orthogonal projections. If are orthogonal projections with , then is an orthogonal projection with a direct sum of orthogonal subspaces; a product of orthogonal projections is an orthogonal projection (The Hilbert orthogonal projection onto a closed subspace, Permutation sector projections on the n-fold tensor power clause (b)).
Proof
Given: The data of the statement and [F1]-[F7].
[Identification] By [F1] the inclusion is a linear isometry with dense image; if and are orthonormal bases of and , then the elements span the algebraic tensor product by bilinearity, so is a finite-dimensional subspace of the Hilbert space , hence closed by [F3], and a dense closed subspace is the whole space; thus is onto and identifies the two spaces, and the same argument applies to the algebraic and completed tensor products of with itself and of with , whose algebraic parts are spanned by finitely many elementary tensors. This proves (a).
[The regrouping map and its inverse] Define for , ; it is multilinear in its four arguments, so by [F2] it corresponds to a unique linear map on the four-fold algebraic tensor product and, by the parenthesization independence of [F2] together with the identification of step 1.1, to a unique linear map on with the displayed values on elementary tensors; uniqueness holds because those elementary tensors span the space. Likewise is multilinear and defines a linear map on . On elementary tensors and , and two linear maps agreeing on a spanning set agree everywhere; hence is a linear isomorphism with inverse , which is the existence and inverse statement of (b).
[Unitarity] For elementary tensors and in the domain the inner-product identities of [F1] give ; the difference of the two sesquilinear forms vanishes on all pairs of elementary tensors, and since every vector is a finite sum of elementary tensors by [F1] it vanishes identically, so is an isometry; being invertible by step 2.1 it is unitary, which completes (b).
[Intertwining with the exchange operators] For , one computes with [F4] and [F5] that and ; both sides are bounded linear maps agreeing on the spanning set of elementary tensors, so they agree everywhere, which is (c).
[Symmetriser identities] By [F4], , and ; using step 3.2 to move past and the linearity and multiplicativity of the tensor product of operators [F5], one obtains on the whole space , because and its sign-reversed analogue are identities of bounded operators; this proves the first assertion of (d), and the computation with both signs reversed gives the second.
[Direct-sum decompositions] By [F7] the operators and are orthogonal projections whose product is , so their sum is an orthogonal projection with range the orthogonal direct sum of the two ranges; by step 4.1 and the unitarity of step 3.1, the image of under is that direct sum, and the same argument with the second identity of step 4.1 gives the symmetric-sector decomposition, completing (d).
[Vector identities] Applying the first identity of step 4.1 to the elementary tensor and using the linearity of and of tensor products of operators gives , which is the first identity of (e); the second follows in the same way from the second identity of step 4.1.
[Dimensions] By step 5.1 and the unitarity of step 3.1, ; by [F6] applied to the - and -dimensional spaces this is , which are the displayed summand dimensions, and expanding the two products gives , which is (f).
[Assembly] Step 1.1 proves (a), steps 2.1 and 3.1 prove (b), step 3.2 proves (c), steps 4.1 and 5.1 prove (d), step 5.2 proves (e) and step 6.1 proves (f). Only the cited linear algebra, tensor products and permutation projections were used, under the Countable Choice hypotheses of [F1], [F2] and [F5]; no physical reading of the factors is asserted.
Remarks
- Reading of the decomposition. With an orbital factor and an internal (spin) factor, the first summand of the antisymmetric sector pairs antisymmetric orbital two-vectors with symmetric internal two-vectors and the second pairs symmetric orbital two-vectors with antisymmetric internal two-vectors, so the internal permutation symmetry is opposite to the orbital one. The physical use of this identity for two spin-half fermions is developed on the identical-particles examples page.
- Finite dimension. Both factors are finite dimensional, so the algebraic and completed tensor products are identified in (a); no infinite-dimensional regrouping is asserted, and the identities themselves are transferred from elementary tensors by linearity.
Depends on
The two-particle exchange operator and the symmetric and antisymmetric combinations
Slater and symmetric occupation-number bases of the finite-dimensional permutation sectors
Hilbert tensor construction: inner product, completion and product bases
Bounded tensor maps: extension, norm estimate, adjoint and commutation
Permutation sector projections on the n-fold tensor power
Finite iterated tensor products represent multilinear maps independently of parenthesization
with the product basis, and
A finite-dimensional normed subspace is closed
Hilbert space
A bounded linear operator between normed spaces
The operator norm as the least bound and as the unit-sphere or unit-ball supremum
The Hilbert orthogonal projection onto a closed subspace
The Axiom of Countable Choice ()
Dependency tree · 2 levels
Sources
- J. Binney and D. Skinner, The Physics of Quantum Mechanics, Section 10.1.2 printed pages 229-230 (PDF pages 237-238): the spatial wavefunction of a pair of spin-half particles is symmetric for the spin singlet and antisymmetric for the spin triplet
- D. Skinner, Principles of Quantum Mechanics (Cambridge Part II, Michaelmas 2021), Chapter 7 'Identical Particles', pp. 4-10: splitting a two-particle state into spatial and spin parts under exchange symmetry; Internet Archive copy of the original https://www.damtp.cam.ac.uk/user/dbs26/PQM/chap7.pdf