Zero Norm Propagation for Matrix States
Abstract
A positive normalized matrix trace functional propagates a zero quadratic value to every mixed value.
Theorem 1.1 (The mixed trace is a Gram pairing after multiplication by the square root).
Proof. Machine-checked in Lean as D5/S3/QuantumStates/GNSZeroPropagation.cross_trace_factorization (✓ std3). ∎
Source. Repository-derived.
Commentary.
For a positive semidefinite matrix rho and arbitrary matrices h and g, the trace pairing of rho with the conjugate transpose of h times g equals the Gram trace of h times the positive square root of rho and g times that square root.
Theorem 1.2 (A zero quadratic value annihilates every mixed value).
Proof. Machine-checked in Lean as D5/S3/QuantumStates/GNSZeroPropagation.gns_zero_norm_propagation (✓ std3). ∎
Source. Repository-derived.
Commentary.
The state functional is the source trace pairing Tr(rho times a), with rho positive semidefinite and trace one. Its quadratic value at g is the squared Frobenius norm of g times the positive square root of rho.
A zero quadratic value therefore makes g times the square root of rho equal to zero. The same factorization for an arbitrary h proves the mixed trace value Tr(rho h star g) is zero.
The matrix GNS identity is reused directly; the deposited statement retains positivity, normalization, and the universal mixed-value conclusion as public clauses.
References
- Truth anchor:
D5/S3/QuantumStates/GNSZeroPropagation.cross_trace_factorization - Truth anchor:
D5/S3/QuantumStates/GNSZeroPropagation.gns_zero_norm_propagation - Dependency: D5/S3/Quantum/GNSMatrix