QuantumInfo.ForMathlib.HermitianMat.Schatten
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Schatten -norm of a matrix
#schattenNormFor a matrix and an exponent , the Schatten -norm is defined as where denotes the conjugate transpose of , and the power of the positive semi-definite matrix is defined via the continuous functional calculus. The result is returned as the real part of the trace.
Schatten -norm of a positive semidefinite Hermitian matrix equals
#schattenNorm_hermitian_powLet be a Hermitian matrix of dimension over the complex numbers . If is positive semidefinite () and is a positive real number (), then the Schatten -norm of the underlying matrix of (denoted ) is given by where is defined via the functional calculus for Hermitian matrices and denotes the matrix trace.
The Schatten -norm is non-negative
#schattenNorm_nonnegFor any complex matrix and any real number , the Schatten -norm of is non-negative, i.e., .
Let be a positive semidefinite Hermitian matrix of size over . For any positive real numbers and , the Schatten -norm of the matrix power is equal to the -th power of the Schatten -norm of . That is,
for positive semi-definite and
#trace_eq_schattenNorm_rpowLet be a complex Hermitian matrix such that is positive semi-definite (). For any real number , the trace of the -th power of is equal to the -th power of its Schatten -norm, denoted as .
Trace of equals the sum of its eigenvalues to the power
#schattenNorm_trace_as_eigenvalue_sumLet be a complex matrix and let . Let be the Hermitian matrix formed by the product of the conjugate transpose of and itself. The real part of the trace of the functional calculus of applied to the power function is equal to the sum of the -th powers of the eigenvalues of : where denotes the -th eigenvalue of the Hermitian matrix .
For any complex matrix and any positive real number , the -th power of the Schatten -norm of is equal to the sum of the -th powers of its singular values, i.e., where denotes the -th singular value of .
Schatten -norm equals partial sum of singular values:
#schattenNorm_eq_sum_singularValues_rpowLet be a square complex matrix of size and be a positive real number (). The Schatten -norm of , denoted , is equal to the -th root of the sum of the -th powers of its singular values :
Let be a complex matrix and be a positive real number. Let denote the Schatten -norm of , and let denote the -th singular value of sorted in non-increasing order. Then the -th power of the Schatten -norm equals the sum of the -th powers of the sorted singular values: where is the dimension of the matrix.
Trace Young Inequality for PSD Matrices:
#trace_youngLet and be complex Hermitian matrices that are positive semidefinite (). For any real numbers satisfying the conjugacy condition , the real inner product of and satisfies the Young inequality: where and are defined via functional calculus.
Let and be Hermitian matrices of size over . If is positive semidefinite (), then the product of the conjugate transpose of and the matrix is equal to the matrix . Specifically, let , then .
Let and be Hermitian matrices over such that is positive semidefinite (). For any real number , the Schatten -norm of the product raised to the power is equal to the trace of the -th power of the matrix , denoted here as . Specifically: where is defined via functional calculus for Hermitian matrices.
Schatten–Hölder Inequality for Matrix Products:
#schattenNorm_mul_leLet and be complex matrices. For any positive real numbers satisfying the relation , the Schatten -norm of the product is bounded by the product of the Schatten -norm of and the Schatten -norm of : where the Schatten -norm is defined as for singular values . This inequality holds for both the norm and quasi-norm cases.
for and
#trace_rpow_conj_leLet and be positive semidefinite Hermitian matrices of size over . Let be positive real numbers such that . Then the trace of the power of the matrix satisfies the inequality where denotes the -th power of a Hermitian matrix defined via functional calculus and denotes the congruence action .
