Rank, spectrum and norms
34 problems · Semicontinuity of rank, continuity of eigenvalues, singular values and spectral radius.
Ex.292Every norm sphere of M_n(R) is a sphere
Rank, spectrum and norms
L2
Ex.293Trace and determinant bounded by the operator norm
Rank, spectrum and norms
L2
Ex.656Existence of a closest matrix of rank at most r
Rank, spectrum and norms
L2
Ex.657Singular matrices have measure zero
Rank, spectrum and norms
L2
Ex.658The singular value map is continuous and onto the ordered cone
Rank, spectrum and norms
L2
Ex.659Strictly diagonally dominant matrices are invertible
Rank, spectrum and norms
L2
Ex.660The numerical range of a real matrix is an interval
Rank, spectrum and norms
L2
Ex.661The Moore-Penrose pseudo-inverse is discontinuous
Rank, spectrum and norms
L2
Ex.1380Eigenvalues are only Hölder continuous
Rank, spectrum and norms
L3
Ex.1381Semicontinuity of the inertia of symmetric matrices
Rank, spectrum and norms
L3
Ex.1382Inversion reverses the order of positive definite matrices
Rank, spectrum and norms
L3
Ex.1383Matrices with positive definite symmetric part
Rank, spectrum and norms
L3
Ex.1384Power-bounded matrices do not form a closed set
Rank, spectrum and norms
L3
Ex.1385Power sums determine the characteristic polynomial
Rank, spectrum and norms
L3
Ex.1386The cone of rank-one matrices
Rank, spectrum and norms
L3
Ex.1387Semicontinuity of the minimal polynomial degree and of the centraliser
Rank, spectrum and norms
L3
Ex.1388Where is {det = 0} a manifold?
Rank, spectrum and norms
L3
Ex.1389The discriminant of a 2×2 matrix and a cone
Rank, spectrum and norms
L3
Ex.1390The set of matrices whose powers converge is neither open nor closed
Rank, spectrum and norms
L3
Ex.1391The spectral mapping theorem for polynomials
Rank, spectrum and norms
L3
Ex.1392A^k converges to 0 if and only if the spectral radius is less than 1
Rank, spectrum and norms
L3
Ex.2022A traceless matrix has a zero diagonal in some orthonormal basis
Rank, spectrum and norms
M1
Ex.2023The fibres of (trace, determinant) on 2×2 matrices
Rank, spectrum and norms
M1
Ex.2024Dobrushin's contraction for positive stochastic matrices
Rank, spectrum and norms
M1
Ex.2025Eigenvalues of normal matrices move by at most the size of the perturbation
Rank, spectrum and norms
M1
Ex.2026A stochastic matrix has a stationary distribution
Rank, spectrum and norms
M1
Ex.2027Gelfand's spectral radius formula
Rank, spectrum and norms
M1
Ex.2028Lyapunov's criterion for Hurwitz matrices
Rank, spectrum and norms
M1
Ex.2029The spectral radius is monotone on nonnegative matrices
Rank, spectrum and norms
M1
Ex.2030Sylvester's criterion and the openness of the positive cone
Rank, spectrum and norms
M1
Ex.2031The Bauer-Fike theorem
Rank, spectrum and norms
M1
Ex.2032The Eckart-Young theorem in the operator norm
Rank, spectrum and norms
M1
Ex.2033Matrices with two distinct real eigenvalues retract onto a circle
Rank, spectrum and norms
M1
Ex.2244The square root is operator monotone
Rank, spectrum and norms
M1
No problem matches these filters.