A Hermitian form is positive semidefinite when for every vector. It need not define an inner product, because a nonzero vector may have zero squared norm. The Cauchy-Schwarz inequality still holds: applying nonnegativity to and minimizing the quadratic expression in gives when ; when , varying forces . Thus its zero-norm vectors are exactly the radical of a Hermitian form. Quotienting this radical of a Hermitian form gives a positive inner product; taking its Hilbert space completion then gives a Hilbert space. This is the final positivity step in the Gupta-Bleuler null-state quotient.
Positive semidefinite matrix Created 2026-09-24 Updated 2026-10-06
A real symmetric or complex Hermitian matrix is positive semidefinite when for every vector , equivalently when all its eigenvalues are nonnegative.
Power method Created 2026-09-24 Updated 2026-09-24
Iterate . With a unique dominant eigenvalue separated by a spectral gap and a starting vector that is nonorthogonal to its eigenvector, the directions converge at the spectral-ratio rate.
Pseudovector Created 2026-09-28 Updated 2026-10-06
An axial vector transforms as under an orthogonal matrix . It agrees with a polar vector under a proper rotation matrix and has the additional determinant sign under an orientation-reversing transformation. Angular momentum and angular velocity are axial vectors.
Quotient theorem for Cartesian tensors Created 2026-10-05 Updated 2026-10-06
Suppose an array is specified in each right-handed orthonormal basis. If transforms as a vector for every vector , then is a second-order Cartesian tensor under those basis changes. Indeed , imply for every , hence . The condition on every test vector is essential; one contraction is insufficient.
The radical of a Hermitian form is the vector subspace orthogonal to the entire space. The form descends to the quotient vector space by its radical: adding a radical vector to either argument does not change the value. For a positive semidefinite Hermitian form, the Cauchy-Schwarz inequality identifies this radical with its zero-norm vectors, so the quotient form is positive definite. This conclusion does not hold for a general indefinite Hermitian form: a zero-norm vector need not belong to its radical.
For real symmetric , replace sign-vector lifts by all matrices in the elliptope:
Every sign vector gives a feasible rank-one matrix with the same objective, so the relaxed maximum is an upper bound. The omitted rank-one condition is substantive: an arbitrary feasible Gram matrix need not come from signs.
Spacelike vector 2026-10-06
With metric signature , a nonzero vector is spacelike when its Lorentzian inner product with itself satisfies . In Minkowski spacetime, this means its spatial components have larger squared Euclidean length than its time component. The classification is preserved by Lorentz transformations. A timelike vector has negative squared Lorentzian inner product, and a null vector has zero squared Lorentzian inner product.
Sparse injectivity Created 2026-10-06 Updated 2026-10-07
A linear map is injective on the class of sparse vectors of order exactly when its null space contains no nonzero vector with at most nonzero entries. Differences of two sparse vectors have at most active coordinates. Conversely, splitting the support of a vector of a -sparse null vector into two parts constructs two distinct -sparse vectors with the same image. The strict null space property implies sparse injectivity by applying it to both parts of such a split.
Sparse maximum eigenvalue Created 2026-10-05 Updated 2026-10-06
For a design matrix with columns, define for . Equivalently this bounds for vectors supported on at most coordinates. These quantities are nondecreasing: extend the support of a maximizing vector by zero coordinates and use the variational characterization of the largest eigenvalue. Values at , including infinity, require a separate convention.
Spinor sign under a full spatial rotation Created 2026-10-05 Updated 2026-10-06
For a Dirac spinor a spatial rotation acts in each chiral block by a matrix exponential , depending on angle orientation. Since for a unit axis, the Pauli matrix multiplication law gives this exponential as . At it is , and at it is . A vector returns already at . This describes the lift of the rotation loop to the Spin group, rather than a single-valued representation of the ordinary rotation group on spinors.