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Qm Math Composites — Examples

1 · Prerequisites

2 · Summary

The companion page to qm-math-composites records three explicit mathematical checks behind its tensor, density and instrument results. All three items are mathematics: they carry domain: mathematics, depend only on the mathematical items of the parent page and on mathematical suppliers, and make no physical or empirical claim.

Bell reduced state computes the reduced states of the unit vector Ψ=(e+⊗e−−e−⊗e+)/2 in C2⊗C2: the coefficient matrix is C=12(01−10), both partial traces are 12I, the reduced purity is 12 while tr⁡(TΨ,Ψ2)=1, the Schmidt coefficients are s1=s2=1/2, and Ψ is not a product vector. Nonunique mixed ensemble shows that the maximally mixed operator 12I on C2 has the two distinct orthonormal decompositions 12Te1,e1+12Te2,e2 and 12Te+,e++12Te−,e−, so this density operator has two distinct orthonormal convex decompositions into rank-one density operators. Selective-conditioning counterexample refutes the selective claim that local conditioning preserves the opposite reduced state: on the same Bell state, the Lüders outcome of the second factor with M0=Te−,e− has probability 12 and leaves the first factor in Te+,e+, which differs from the unconditional 12I, while the nonselective sum over both outcomes does return 12I as in Local trace-preserving Kraus maps do not change the opposite reduced state — the counterexample therefore separates the nonselective identity from its selective counterpart rather than contradicting the former.

3 · Logical flowchart

4 · Definitions, postulates, theorems and proofs

None yet.

5 · Examples, experiments and counterexamples

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Bell reduced state

Example

Let V=W=C2 with the standard inner product and orthonormal basis e+=(10), e−=(01) (Hilbert tensor construction: inner product, completion and product bases), and let

Ψ:=12(e+⊗e−−e−⊗e+)∈V⊗W.

Here a product vector means an elementary tensor v⊗u with v∈V and u∈W; TΨ,Ψ is the rank-one density operator determined by the unit vector Ψ.

Then:

(a) ∥Ψ∥=1, and the coefficient matrix of Ψ in the bases (e+,e−) is C=12(01−10);

(b) the partial traces satisfy Tr⁡WTΨ,Ψ=CC∗=12IV and Tr⁡VTΨ,Ψ=C∗C=12IW, so both reduced states are the maximally mixed matrix 12I;

(c) the reduced density ρ=12I has eigenvalues 12,12 and trace-square tr⁡ρ2=12, while tr⁡(TΨ,Ψ2)=1; the Schmidt coefficients of Ψ are s1=s2=12, and Ψ is not a product vector.

Facts & Assumptions

Given: V=W=C2 with the standard inner product; the orthonormal basis (e+,e−); the vector Ψ above; the operators Tu,vx=⟨x,v⟩u on the finite-dimensional spaces.

[A1]

On V⊗W the pairing is ⟨u⊗v,u′⊗v′⟩=⟨u,u′⟩V⟨v,v′⟩W; the four elementary tensors e±⊗e± form an orthonormal basis, each Ψ∈V⊗W has a unique expansion ∑ijcijei⊗ej with ∥Ψ∥2=∑ij∣cij∣2, and the basis-free conventions (linearity in the first argument, conjugate symmetry) are those of Hilbert tensor construction: inner product, completion and product bases.

[A2]

For endomorphisms R of V⊗W there is a unique Tr⁡WR in End⁡(V) with tr⁡((Tr⁡WR)A)=tr⁡(R(A⊗IW)) for all A; it is linear and positive, Tr⁡WTΨ,Ψ=CC∗ where C:W→V is the coefficient map determined by Ψ=∑jCfj⊗fj, and Tr⁡V is defined symmetrically; the Schmidt decomposition Ψ=∑r=1ksrvr⊗ur has orthonormal families and positive s1≥⋯≥sk equal to the positive singular values of C, with ∥Ψ∥2=∑rsr2, and for ∥Ψ∥=1 the reduced density ρ=Tr⁡WTΨ,Ψ satisfies tr⁡ρ2=∑rsr4, which equals 1 exactly when k=1 (Finite partial trace, Schmidt decomposition and finite no-signalling(a),(b),(c)).

[A3]

Tu,v is trace class with tr⁡(Tu,v)=⟨u,v⟩, and tr⁡ is linear (Rank-one operator calculus).

[A4]

In an orthonormal basis of a finite-dimensional inner product space the matrix of Tu,v is the column-times-row matrix uv∗, so tr⁡(Tu,v)=⟨u,v⟩; Tx,zTw,y=⟨w,z⟩Tx,y for rank-one operators.

Verification

1.1A1algebra

[Coefficient matrix and norm] By [A1], Ψ=12e+⊗e−−12e−⊗e+ is the expansion with c+−=12, c−+=−12 and the other coefficients 0, so the coefficient map C:W→V is the matrix C=12(01−10) in the bases (e+,e−) (columns indexed by W), and ∥Ψ∥2=∣c+−∣2+∣c−+∣2=1.

2.1step 1.1A2algebra

[Partial traces] Computing CC∗=12(01−10)(0−110)=12IV and C∗C=12IW, [A2] gives Tr⁡WTΨ,Ψ=CC∗=12IV and, by symmetry, Tr⁡VTΨ,Ψ=C∗C=12IW; both are positive with trace 1, as they must be for the reduction of a unit vector.

3.1step 1.1step 2.1A2A3A4algebra∎

[Purity and Schmidt coefficients] The matrix 12IV has the single eigenvalue 12 with multiplicity 2 (in any basis its matrix is diagonal with entries 12), so tr⁡ρ2=2⋅(12)2=12 for ρ=Tr⁡WTΨ,Ψ; the positive singular values of C are the square roots of the eigenvalues of C∗C=12IW, namely s1=s2=12, so the Schmidt decomposition of Ψ has k=2 terms and ∑rsr2=1, in agreement with the norm formula of [A2]; since k=2>1, Ψ is not a product vector. Finally TΨ,Ψ2=TΨ,Ψ because TΨ,ΨTΨ,Ψ=⟨Ψ,Ψ⟩TΨ,Ψ by [A4] and ∥Ψ∥=1, so tr⁡(TΨ,Ψ2)=tr⁡(TΨ,Ψ)=⟨Ψ,Ψ⟩=1 by [A3].

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Nonunique mixed ensemble

Example

On H=C2 with the standard inner product and orthonormal basis e1=(10), e2=(01), put e±:=12(e1±e2) (Density operators and scalar spectral probability). Then the maximally mixed density operator 12I admits the two orthonormal convex decompositions

12I=12Te1,e1+12Te2,e2=12Te+,e++12Te−,e−,

where (e1,e2) and (e+,e−) are distinct orthonormal bases of H. Thus the same density operator has two distinct orthonormal convex decompositions into rank-one density operators.

Facts & Assumptions

Given: H=C2 with the standard inner product; the orthonormal basis (e1,e2); the unit vectors e±; the operators Tu,vx=⟨x,v⟩u.

[A1]

A density operator is a self-adjoint positive trace-class operator with trace 1 (Density operators and scalar spectral probability(a), definition only). For a finite family of unit vectors ujinmathbbC2 and weights wjge0 with sumjwj=1, set ho:=sumjwjujuj∗. This is a finite matrix and hence trace class; it is self-adjoint, x∗hox=sumjwj∣uj∗x∣2ge0, and its finite trace is sumjwjsumk=12∣(uj)k∣2=sumjwj=1. Thus it is a density operator even without orthogonality. This is a local finite-matrix calculation, not an invocation of the supplier's Countable Choice expansion.

[A2]

Tu,v is trace class with tr⁡(Tu,v)=⟨u,v⟩ and ∥Tu,v∥1=∥u∥ ∥v∥; the trace is linear on trace-class operators (Rank-one operator calculus). In the present H=C2 these facts follow directly from Tu,v=uv∗: the diagonal sum is ∑kukvk‾=⟨u,v⟩, and (uv∗)∗(uv∗)=∥u∥2vv∗ has at most one nonzero eigenvalue, ∥u∥2∥v∥2, so its singular-value sum is ∥u∥∥v∥. Finite diagonal sums are linear. No choice principle is used in these finite computations.

[A3]

In an orthonormal basis of C2 the matrix of Tu,v is the column-times-row matrix uv∗; Te1,e1 and Te2,e2 therefore have matrices (1000) and (0001).

Verification

1.1A1A2A3algebra

[Computational basis decomposition] By [A3], 12Te1,e1+12Te2,e2 has matrix 12(1000)+12(0001)=12I, and by [A2] it is a trace-class operator of trace 12+12=1; by [A1] it is a density operator coming from the orthonormal family (e1,e2) with weights 12,12.

2.1step 1.1A1A3algebra

[Fixed ± basis decomposition] The vectors e±=12(e1±e2) are unit and orthogonal since ⟨e+,e−⟩=12(⟨e1,e1⟩−⟨e1,e2⟩+⟨e2,e1⟩−⟨e2,e2⟩)=0; their matrices are Te+,e+=12(1111) and Te−,e−=12(1−1−11), so 12Te+,e++12Te−,e−=12I again, with weights 12,12 on an orthonormal family; thus the same operator 12I has a second decomposition.

3.1step 1.1step 2.1A1algebra∎

[The decompositions are different] The two orthonormal families are distinct: ∣⟨e1,e+⟩∣=12∉{0,1}, so e1 is not a scalar multiple of e± and Te1,e1 is not one of Te±,e± (their matrices of step 2.1 differ from (1000)); hence the two lists of rank-one density operators are not the same up to reordering, while both convex combinations equal the single operator 12I by steps 1.1 and 2.1. Therefore this density operator has a nonunique orthonormal convex decomposition into rank-one density operators, consistent with the expansion in [A1].

Remarks

  • The operator identity is basis-independent. Both decompositions define the same matrix ρ=12I, so tr⁡(ρA)=12tr⁡A for every endomorphism A of H.
  • Nonuniqueness needs no optimization. The two decompositions here are already orthonormal and vary only in the choice of basis; no operational preparation procedure is specified.
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Selective-conditioning counterexample

Statement refuted

False claim: for every density operator ρ on a tensor product H⊗K of finite-dimensional complex inner product spaces and every finite local family (Ma) on K with ∑aMa∗Ma=IK, the conditional reduced state on H after the outcome a is again Tr⁡Kρ whenever its probability is positive.

The claim confuses the nonselective identity Tr⁡K(∑a(I⊗Ma)ρ(I⊗Ma∗))=Tr⁡Kρ of Local trace-preserving Kraus maps do not change the opposite reduced state with the corresponding statement for one selected outcome. The displayed unit vector in C2⊗C2 and one outcome of the explicitly defined projection instrument below refute the selective claim.

Facts & Assumptions

Given: H=K=C2 with orthonormal bases (e+,e−); the unit vector Ψ=12(e+⊗e−−e−⊗e+); the density operator ρ=TΨ,Ψ with Tu,vx=⟨x,v⟩u; the rank-one projections P0:=Te−,e− and P1:=Te+,e+=IK−P0 on K.

[L1]

On H⊗K the pairing is ⟨u⊗v,u′⊗v′⟩=⟨u,u′⟩H⟨v,v′⟩K; the four tensors e±⊗e± form an orthonormal basis, ∥Ψ∥2=1, and ρ=TΨ,Ψ is a density operator with tr⁡ρ=1 (Hilbert tensor construction: inner product, completion and product bases, Density operators and scalar spectral probability(a)); a partial trace Tr⁡K is the unique linear map with tr⁡((Tr⁡KT)A)=tr⁡(T(A⊗IK)), it is linear, and Tr⁡WTΦ,Φ=CC∗ for the coefficient map C of Φ (Finite partial trace, Schmidt decomposition and finite no-signalling(a),(b)).

[L2]

Tr⁡W is linear, and for endomorphisms Ma of W with ∑aMa∗Ma=IW the nonselective sum satisfies Tr⁡W(∑a(I⊗Ma)R(I⊗Ma∗))=Tr⁡WR for every endomorphism R; the lemma covers only the nonselective sum and says nothing about one selected summand (Finite partial trace, Schmidt decomposition and finite no-signalling(d), Local trace-preserving Kraus maps do not change the opposite reduced state).

[L3]

The refuted claim: for every unit Ψ and every outcome a of a local family (Ma) with ∑aMa∗Ma=I, the conditional reduced state Tr⁡K((I⊗Ma)ρ(I⊗Ma∗))/tr⁡((I⊗Ma)ρ(I⊗Ma∗)) equals Tr⁡Kρ whenever the probability is positive.

Counterexample

1.1L1algebra

[The instrument] On K take the self-adjoint projections M0:=P0=Te−,e− and M1:=P1=Te+,e+, so that Ma∗Ma=Pa for a=0,1 and ∑aMa∗Ma=P0+P1=IK: this is the stipulated Lüders instrument for the sharp observable P0. Its outcome-0 non-normalized conditional operator on H⊗K is (I⊗P0)ρ(I⊗P0).

2.1step 1.1L1algebra

[The selected outcome] Let Ψ0:=(I⊗P0)Ψ=12e+⊗e−. Its coefficient map in the chosen bases has matrix C0=12(0100). The outcome probability is tr⁡((I⊗P0)ρ(I⊗P0))=∥Ψ0∥2=12>0, and the non-normalized conditional operator is TΨ0,Ψ0=12Te+⊗e−,e+⊗e−. After normalization the conditional state is Te+⊗e−,e+⊗e−.

3.1step 2.1L1algebra

[The conditional reduced state differs] The coefficient map of the unit vector e+⊗e− has one nonzero matrix entry, equal to 1 in the e+ row and e− column, so its product with its adjoint is Te+,e+. By [L1], the conditional reduced state on H is therefore Tr⁡KTe+⊗e−,e+⊗e−=Te+,e+. The unconditional reduced state is Tr⁡Kρ=CC∗ for the coefficient matrix C=12(01−10) of Ψ, namely 12IH. These differ, since ⟨Te+,e+e+,e+⟩=1≠12=⟨12IHe+,e+⟩. Hence the selective conditional reduced state is not the unconditional one, and the claim of [L3] fails for this unit vector and instrument.

4.1step 3.1L1L2algebra∎

[The nonselective identity still holds] The outcome-1 summand is (I⊗P1)ρ(I⊗P1), and (I⊗P1)Ψ=−12e−⊗e+, so this summand equals 12Te−⊗e+,e−⊗e+. The coefficient map of the unit vector e−⊗e+ has one nonzero entry in the e− row, so its reduced state on H is Te−,e− by [L1]. Adding both summands and using the linearity of Tr⁡K [L2] gives Tr⁡K(∑a(I⊗Ma)ρ(I⊗Ma∗))=12Te+,e++12Te−,e−=12IH=Tr⁡Kρ, in agreement with the nonselective identity of [L2]. The refuted claim is thus exactly the illegitimate replacement of that nonselective identity by its selective counterpart.

Sources