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Symmetric-power SU2 representation
Statement
Fix an integer , let carry the standard inner product linear in the first argument, with orthonormal basis where and (Real and complex inner product spaces, with the inner product linear in the first argument), and let be the -fold algebraic tensor power with its finite string basis (The elementary tensors of two bases form the product basis of the tensor product) made orthonormal. Use as in The finite symmetric group , one-line notation, and cycle notation. For define the bijection by , and for put . Define to be the place action of in Commuting symmetric-group and linear actions on a tensor power: explicitly, for , , extended linearly. Use the diagonal action of and the operators . Put
where is the conjugate transpose of and the identity matrix (Rectangular matrix multiplication and the identity matrix , including zero-sized shapes, For , the determinant over a commutative ring by the Leibniz formula, and for a real matrix). For define . For let be the sum of the elementary tensors over all strings containing exactly entries , and put .
For use , the empty string , , the trivial group , , for every , and . These conventions define and the trivial representation , with .
Then:
(a) is the orthogonal projection onto the closed subspace , and commute for every and every , and ; the assignment is well defined on all of , and holds for all ;
(b) is a subgroup of the multiplicative monoid of with identity ; for the operator is unitary with inverse , so is a group homomorphism (Strongly continuous unitary representations, invariant linear subspaces and intertwiners, Linear isometries, and orthogonal or unitary operators on finite-dimensional inner product spaces);
(c) the vectors form an orthonormal basis of ; in particular is -dimensional;
(d) the operators , , where are the Pauli matrices of Finite spin matrices, are self-adjoint and satisfy, with , ,
with and ; moreover , , and ; the map is a unitary equivalence of with the spin- matrices of Finite spin matrices;
(e) for each the curve () lies in , satisfies and , and is a strongly continuous one-parameter unitary group on (Strongly continuous one-parameter unitary group) whose infinitesimal generator (Infinitesimal generator of a unitary group) is on all of ; equivalently for every ;
(f) is strongly continuous on : if in with all and , then in the operator norm on .
This is finite-dimensional linear algebra: the theorem constructs a unitary representation of and its generators. It does not assert that or any spin observable describes a physical particle, and it makes no measurement or statistics claim.
Facts & Assumptions
Given: ; the space with its orthonormal basis ; the tensor power ; the place permutations and diagonal actions ; the projection ; the subspace ; the strings and vectors ; the group ; the Pauli matrices ; the operators and .
For , iterating The elementary tensors of two bases form the product basis of the tensor product gives the finite basis of all strings ; for the basis is . Define the inner product by . Expansion on elementary tensors gives the product inner product. The finite tensor product is thus the standard finite-dimensional coordinate inner product space; no completion or countable choice is used. The universal multilinear property is Finite iterated tensor products represent multilinear maps independently of parenthesization.
For , conjugation by is a bijection from the zero-indexed of The finite symmetric group , one-line notation, and cycle notation to the group on tensor positions of Commuting symmetric-group and linear actions on a tensor power; it preserves composition because , and for . Thus the stated are well-defined linear maps by [F1], permute the orthonormal string basis, are unitary, satisfy and have . There are permutations: prescribing the images of successively leaves possibilities. In the finite average , inversion and left or right multiplication by a permutation reindex the summands. Thus , and ; its range consists exactly of the invariant vectors, since every invariant vector satisfies . For , and ; for , all identities follow from the separate empty-tensor conventions.
On the spanning string basis, expansion of matrix entries gives , and evaluation of the inner products of [F1] gives . Thus a tensor product of unitary matrices is unitary. Applying the same to every factor commutes with any place permutation, since both rules send to the tensor of the same permuted list ; this identity is also valid for (Commuting symmetric-group and linear actions on a tensor power).
For a bounded operator on a finite-dimensional Hilbert space, the operator norm is , and for every orthonormal basis ; a linear map with finite-dimensional domain is bounded, and (The operator norm as the least bound and as the unit-sphere or unit-ball supremum, A bounded linear operator between normed spaces). In orthonormal product coordinates, writing gives ; similarly . Since and , this proves , and iteration supplies the tensor estimates below.
means that is a unitary operator on ; in orthonormal bases the matrix of the adjoint is the conjugate transpose, and , (In orthonormal bases, the matrix of the adjoint is the conjugate transpose of the matrix, Coordinate columns and matrices of linear maps relative to ordered bases, For same-sized finite square matrices over a commutative ring, , Linear isometries, and orthogonal or unitary operators on finite-dimensional inner product spaces, For , the determinant over a commutative ring by the Leibniz formula, and for a real matrix).
The Pauli matrices satisfy , , , , ; also and for , , and , , , , (Finite spin matrices).
The sine and cosine addition identities hold (The addition formulas for sine and cosine). Sine and cosine are differentiable with , , and ; derivatives of sums, scalar multiples and compositions are computed by the algebra of derivatives and the chain rule (The derivatives of sine and cosine are cosine and minus sine, A function differentiable at is continuous at , Parity and the Pythagorean identity for sine and cosine, Sums, scalar multiples, products and quotients: , , , and when , The chain rule, in one line from Carathéodory: if is differentiable at and is differentiable at , then is differentiable at with , The derivative of at a point that is a limit point of , and differentiability on a set).
For integers , and and for ; the ratio follows by cancelling the factorials using and . Each string with minus signs corresponds bijectively to its set of minus positions, so there are such strings and the string sums split accordingly ( for ; hence , the quotient is a natural number, and , The factorial and the falling factorial , defined by recursion in , The set of -element subsets and the binomial coefficient , A finite sum in a commutative monoid indexed by an arbitrary finite set).
Complex conjugation is additive and multiplicative, , , and for (Conjugation is an involutive real-field automorphism, , and modulus is definite, multiplicative, and subadditive, The complex numbers as , with the real embedding and imaginary unit ).
For the operators of Finite spin matrices act on their orthonormal basis , , by , , , with endpoint conventions , have self-adjoint and , satisfy , and , and have .
Proof
[The zero tensor power] For , the conventions give , , , and . Clauses (a)-(c) follow immediately; all ladder and Casimir formulas in (d) vanish, and identifies the zero operators with the spin-zero model [F10]. Each has derivative zero and is strongly continuous, and is constant, proving (e)-(f); the subgroup and assertions, independent of , are proved below. For the tensor and basis calculations in the remaining steps assume .
[The symmetric subspace and invariance] By [F2] is an orthogonal projection and ; hence exactly for , and is closed because the finite matrix is continuous. For and , [F3] gives , so implies , i.e. ; therefore is a well-defined linear map on for every .
[The curves ] Using , , , [F7] and [F9]: , and direct computation of the three determinants from the displayed matrices gives ; so . The identities and , applied with , give . Differentiating the displayed formula at with [F7] and [F9] gives .
[Representation law and unitarity] For , [F3] gives on , hence on by step 1.2 and restriction: . If , then is unitary by [F5], [F6]; by [F3] is unitary on , and for , with mapping bijectively onto (its inverse is restricted, where ); hence is unitary with . This gives the operator statements of (a) and (b).
[The basis and the dimension] Fix and let have exactly minus entries. In every string with exactly minus entries occurs once for each of the permutations carrying the pattern of to it, so and by [F8]; since the elementary tensors span [F1], this shows , while because each permutes the strings with minus entries, so . Distinct elementary tensors are orthonormal [F1], and two summands from and with are distinct elementary tensors, so by [F8]; hence are orthonormal and span , an orthonormal basis of the -dimensional space .
[The operators and their commutation] For the place sums satisfy and : expanding the definitions, the summands at different places commute and the summand at a common place contributes , while the adjoint of a place sum is the place sum of the adjoints [F3]. Consequently ; and commutes with every because permuting places preserves the multiset of places, so by [F2] each preserves , and its restriction is self-adjoint.
[ is a subgroup] If , then and , so ; and , so ; and for one has (multiplying by on the right gives , whence ) and , so . Hence is a subgroup, and is a group homomorphism by step 2.1.
[Generator of ] By step 2.1, satisfies and , and each is unitary. The telescoping identity , valid by [F3] with , gives by [F4]; with , and , the explicit formula for and [F7] show that is bounded by for all by the operator-norm bound; so is a strongly continuous one-parameter unitary group. For the derivative, write with and by [F6], [F7] and step 1.3; the same telescoping expansion with , , using and , gives with and as ; restricting to and using step 2.3 and of step 1.3 gives for every . Hence the infinitesimal generator is with domain .
[Actions on the basis vectors] Fix . On an elementary tensor with minus entries, acts by , and by linearity , so . For one has and by [F6]. If , each target string with minus entries in occurs with coefficient from each of its plus positions, so and by [F8]. For , every factor is , so , agreeing with the stated convention. Similarly, if , and give , hence by [F8]. For , every factor is , so , agreeing with .
[Commutators and identification with the spin- model] By steps 2.3 and 3.3, satisfy and on the basis ; substituting , and expanding gives , , . Since maps the basis of onto the basis of the spin- space of Finite spin matrices, and by step 3.3 the three operators have there exactly the action prescribed in that proposition, the described map is a unitary equivalence intertwining with the spin- matrices and carrying to with ; in particular . This proves (a)-(d) except the strong-continuity clause.
[Strong continuity] Let in . By the telescoping identity of step 3.2 with [F3], , and is bounded because by [F4] and convergence of the entries; hence . Restricting the operators to the invariant subspace can only decrease the operator norm, so , proving (f); in particular is strongly continuous on , since norm continuity implies strong continuity by [F4]. This completes (a)-(f).
Depends on
The elementary tensors of two bases form the product basis of the tensor product
The addition formulas for sine and cosine
Finite spin matrices
Commuting symmetric-group and linear actions on a tensor power
Real and complex inner product spaces, with the inner product linear in the first argument
Linear map between vector spaces over the same field
Basis of a vector space: a linearly independent spanning subset; and ordered basis: an injective finite list whose image is a basis
Linear combination of a finite list, and the span as the smallest linear subspace containing
The adjoint is characterised by
Self-adjoint and normal endomorphisms of a finite-dimensional real or complex inner product space
Linear isometries, and orthogonal or unitary operators on finite-dimensional inner product spaces
Strongly continuous unitary representations, invariant linear subspaces and intertwiners
Strongly continuous one-parameter unitary group
Infinitesimal generator of a unitary group
Rectangular matrix multiplication and the identity matrix , including zero-sized shapes
For , the determinant over a commutative ring by the Leibniz formula, and for a real matrix
For same-sized finite square matrices over a commutative ring,
Coordinate columns and matrices of linear maps relative to ordered bases
In orthonormal bases, the matrix of the adjoint is the conjugate transpose of the matrix
The operator norm as the least bound and as the unit-sphere or unit-ball supremum
A bounded linear operator between normed spaces
The derivative of at a point that is a limit point of , and differentiability on a set
Sums, scalar multiples, products and quotients: , , , and when
The chain rule, in one line from Carathéodory: if is differentiable at and is differentiable at , then is differentiable at with
A function differentiable at is continuous at
The derivatives of sine and cosine are cosine and minus sine
Parity and the Pythagorean identity for sine and cosine
Conjugation is an involutive real-field automorphism, , and modulus is definite, multiplicative, and subadditive
The complex numbers as , with the real embedding and imaginary unit
The finite symmetric group , one-line notation, and cycle notation
The set of -element subsets and the binomial coefficient
for ; hence , the quotient is a natural number, and
The factorial and the falling factorial , defined by recursion in
A finite sum in a commutative monoid indexed by an arbitrary finite set
Finite iterated tensor products represent multilinear maps independently of parenthesization
Dependency tree · 2 levels
Sources
- MIT 8.05 Quantum Physics II (Fall 2013), Chapter 2 'Spin one-half, Bras, Kets, and Operators' (spin-half systems and their operators) and Chapter 9 'Angular Momentum', §2 pp. 11-18 (Commuting observables; algebraic theory of angular momentum)
- J. Binney and D. Skinner, The Physics of Quantum Mechanics, Chapter 7 (Angular Momentum), §7.1 pp. 141-152 (rotation operators and ladder algebra) and §7.4.2 pp. 161-164 (spin-half matrices)
- MIT 8.05 Quantum Physics II (Fall 2013), Chapter 8 'Multiparticle States and Tensor Products' (tensor products and product bases)