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Exercise PLAN-003

basic · proof · test_public

primary source nl only. Explicit question version 2 with distinct contract-change review; the predecessor question is not equivalent current gold. Core, family and split are retained. No new Lean verification is claimed for this NL view.

Assumptions and conventions

      This question explicitly revises its historical contract. A Lean companion must bind the current contract hash, not the predecessor hash. This is one reserved core, not two exercises.

      Question

      Work in the cited source's finite-dimensional complex setting H=C^d, initially d>=1. Let Herm_d={X in M_d(C):X=X†}, regarded as a REAL vector space, D_d={rho in Herm_d:rho>=0, tr(rho)=1}, and A_d={X in Herm_d:tr(X)=1}. Positivity means nonnegative expectation in every vector; use the usual finite-dimensional norm topology (equivalently the operator-norm topology, including on affine subspaces), not a new definition of boundary.

      Prove directly that, for states rho_1,...,rho_n and real probabilities p_i>=0 with sum_i p_i=1, rho=sum_i p_i rho_i is a state. Separate the hypotheses used for positivity and for trace one, without asserting that nonnegative coefficients are necessary for every particular positive linear combination. Use spectral decomposition to characterize all extreme points of D_d, proving both directions.

      Explicitly assess/refute the predecessor's unrestricted clause that 'the boundary of this convex set is exactly the pure states'; do not silently replace boundary by extreme points or restrict to qubits. Determine the affine hull, relative interior and relative boundary of D_d in A_d. Justify the topology and rank claims by perturbations, not only pictures or terminology. Distinguish the cases d=1, d=2 and d>=3, giving an explicit rank-two mixed boundary witness when d>=3. Then compute the boundary of D_d when the ambient space is the whole Herm_d, and when it is the whole M_d(C) with its usual real norm topology. Finally assess the zero-dimensional case d=0 directly rather than using I_d/d or assuming that a trace-one state exists. Keep extreme-point and topological-boundary assertions separate throughout.

      Hint: mathematical route

      Probability mixtures are density states and pure states are precisely their extreme points. Relative boundary in the trace-one Hermitian affine space means singular density states, whereas the full Hermitian/complex ambient boundary is every density state; the original unrestricted boundary=pure request is false.

      1. Nonnegative real weights preserve every nonnegative quadratic form, establishing positivity without the unit-sum hypothesis.
      2. Trace linearity turns trace one of each component into trace equal to the sum of weights, so unit sum establishes the normalization and completes convexity.
      3. Spectral decomposition and the pure-support argument characterize extreme points as rank-one projectors; positive-definite and kernel-direction perturbations separately classify relative/ambient boundaries, refuting the old clause with explicit d=0,1,2 and d>=3 cases.
      Reference solution

      The scalars of the Hilbert space are complex, but convex weights and the vector-space structure used for Herm_d are real. Positivity in the original quadratic-form definition already implies Hermiticity in finite complex dimension: writing a matrix as B+iC with B,C Hermitian, real quadratic forms force <v,Cv>=0 for every v, hence C=0 by polarization. Thus using Herm_d is not an extra state promise. For d>=1, Herm_d has real dimension d^2 (d real diagonal entries and two real parameters per off-diagonal pair); its trace-one affine hyperplane A_d has dimension d^2-1. All norms on these finite real vector spaces induce the same topology, and subspaces/affine translates carry the induced topology.

      For any v, <v,rho v>=sum_i p_i<v,rho_i v>>=0 because p_i>=0 and each summand's quadratic form is nonnegative. This proof uses no unit-sum condition. Linearity gives tr(rho)=sum_i p_i tr(rho_i)=sum_i p_i=1; this identity uses unit sum, not nonnegativity. Together they establish convexity. These are the roles of the hypotheses in universal mixture arguments, not a necessity claim for individual coefficients: if all rho_i are equal, some negative coefficients summing to one can still give a state. Conversely, in d>=2 weights (2,-1) on orthogonal pure states give trace one but not positivity. With trace-one summands, unit trace is equivalent to the weights' sum being one.

      The finite-dimensional spectral theorem gives rho=sum_j lambda_j P_j, where P_j=|u_j><u_j| for an orthonormal eigenbasis, lambda_j>=0 and sum_j lambda_j=1. This is a convex pure-state decomposition. Rank one therefore means rho=P for a unit vector. If rank(rho)>=2, choose positive eigenvalues lambda_u,lambda_v and 0<t<min(lambda_u,lambda_v). Both rho_+=rho+t(P_u-P_v) and rho_-=rho-t(P_u-P_v) are positive trace-one, distinct, and rho=(rho_++rho_-)/2. So rho is not extreme. Conversely let P=|psi><psi|=s sigma+(1-s)tau for states sigma,tau and 0<s<1. For any z perpendicular to psi, zero=<z,Pz>=s<z,sigma z>+(1-s)<z,tau z>. Both terms are nonnegative, so each vanishes. Spectral decomposition of a positive matrix shows <z,sigma z>=0 implies sigma z=0, and likewise tau z=0. Hermiticity puts their ranges in span(psi); trace one then forces sigma=tau=P. Thus extreme points are exactly the pure rank-one projectors, including when d=1. This is not a definition or characterization of all boundary points.

      The PSD cone is closed, since every quadratic form is continuous and nonnegativity is a closed condition. Trace one is also closed. If rho is positive definite, let lambda_min>0. Every trace-zero Hermitian E with ||E||_op<lambda_min satisfies <v,(rho+E)v>>= (lambda_min-||E||_op)||v||^2>=0, and preserves trace. Thus every positive-definite state is interior RELATIVE TO A_d. In particular I_d/d has an A_d-neighborhood inside D_d, proving aff(D_d)=A_d: any trace-zero Hermitian direction has sufficiently small positive and negative multiples in that neighborhood. This also covers the zero-dimensional affine space A_1. For d>=2, if rho is singular, choose a unit kernel vector z and a unit w perpendicular to z. The trace-zero Hermitian perturbation E_t=t(|w><w|-|z><z|) tends to zero as t decreases to zero, but <z,(rho+E_t)z>=-t<0. Hence arbitrarily nearby points of A_d fail positivity. Closedness now implies that rho is on the relative boundary. Consequently, for every d>=1, int_(A_d)(D_d)={rho in D_d:rho is positive definite}, and boundary_(A_d)(D_d)={rho in D_d:rank(rho)<d}; in d=1 the latter set is empty. One can also approach every state from the relative interior by (1-epsilon)rho+epsilon I_d/d for 0<epsilon<1.

      For d=1, D_1=A_1={ [1] }; its sole state is pure and extreme, its relative interior is the entire singleton, and its relative boundary is empty. For d=2, singular trace-one positive matrices have spectrum (1,0), so the relative boundary happens to equal the pure states. For d>=3, rho_*=diag(1/2,1/2,0,...,0) is rank two, mixed and nonextreme, but relatively boundary. It is (P_1+P_2)/2, and rho_*+t(P_1-P_3) has trace one with a negative third eigenvalue for every t>0, tending to rho_*. Thus the original boundary-equals-pure clause is false even in the affine-relative topology outside its special qubit coincidence; d=1 is a separate counterexample.

      In the full Herm_d, D_d is closed with empty interior for every d>=1: rho+t I_d is arbitrarily close to rho but has trace 1+td, not one, for nonzero real t. Therefore boundary_(Herm_d)(D_d)=D_d. The same perturbation and closedness apply in the whole M_d(C), viewed with its usual real norm topology, so boundary_(M_d(C))(D_d)=D_d too. For d>=2 these ambient boundaries contain mixed positive-definite states such as I_d/d. In d=1 their only boundary point is [1], unlike the empty relative boundary in A_1. None of these facts identifies topological boundary with convex extremality in general.

      Finally d=0 has only the zero operator, whose trace is zero. Thus D_0 and A_0 are empty, there are no pure states or extreme points, and D_0 has empty boundary in either full matrix ambient space (each is the singleton zero space), as well as empty interior/boundary in the empty A_0. There is no probability mixture of existing states to test and no normalized vector or I_d/d. No affine-dimension formula for a nonempty trace-one hyperplane is asserted at d=0. The correction preserves the convexity/extremality target but explicitly changes the old false requested conclusion into its assessment and a topology-specific classification; it is not an equivalent answer to the old question.

      Assessment rubric
      1. Derives positivity by quadratic forms with nonnegative real weights, trace one by trace linearity and unit sum, and concludes convexity; distinguishes these hypothesis roles from false necessity for every individual positive combination. (1 weight)
      2. Uses the spectral decomposition and proves both directions of extreme iff rank-one projector: higher-rank perturbation/decomposition and positivity-supported uniqueness for a pure-state mixture. (1 weight)
      3. Specifies real Herm_d and A_d with their finite-dimensional induced norm topology; proves aff(D_d)=A_d for d>=1, positive-definite relative interior and singular relative boundary via closedness and trace-preserving perturbations. Gives d=1 empty relative boundary, d=2 coincidence and the explicit mixed rank-two d>=3 witness. (1 weight)
      4. Explicitly refutes the old unrestricted boundary=pure clause without changing definitions or restricting dimensions; proves full Hermitian and complex-matrix ambient boundaries equal D_d for d>=1, and treats d=0 directly without I_d/d or fictitious states. Keeps topological boundary distinct from extremality. (1 weight)

      Graph-grounded prerequisites

      These are support/source anchors, not an automatically extracted theorem-dependency proof.

      • Operator and semigroup theory (frozen curriculum anchor; see graph registry)
      • Probability and sampling (frozen curriculum anchor; see graph registry)

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      Lean view and evidence boundary

      No aligned Lean view has been admitted for this native core in this textbook checkpoint. This is not a claim that the underlying mathematics lacks a formal proof. Contributions must preserve this exact target contract and split.

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      Sources and provenance

      Contract: 667c373770ab0b2e17a6f36c07805f86105329ad42c683449207874e5fc403c7

      Item digest: f74e716068950b2a3832dfc8ff96b2a3601587ddd13a0b2edc3a9149ce4afb08

      Graph snapshot: qcb-snapshot-ffa644f0da3031a1ce754b9a

      Authored support steps: 3. This is not measured graph distance or model difficulty.

      Question revision lineage

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