Cholesky decomposition Created 2026-09-28 Updated 2026-10-25
Every real symmetric matrix that is a positive-definite matrix has a unique Cholesky decomposition , where is a lower triangular matrix with positive diagonal entries.[ref] For a complex Hermitian positive-definite matrix, the corresponding factorization is , with the conjugate transpose and the diagonal of positive and real.[ref] The factorization turns a linear system into two triangular systems.
For example, matching entries in gives
Choose the positive square roots in order: , and . Therefore
The second radicand, , is the scalar Schur complement remaining after eliminating the first variable. A positive diagonal of alone would not guarantee that this quantity is positive; Sylvester's criterion explains the relevant leading principal minors.
Figure 1. . Original exact two-by-two example. Multiplying the displayed lower triangular matrix by its transpose recovers ; forward substitution and backward substitution in a triangular system give for . Details.
For that right-hand side, first use forward substitution to solve : and , so . Then use backward substitution in a triangular system to solve : and , giving . No matrix inverse is required. For several right-hand sides with the same , keep the same factor and repeat only these triangular solves.
A Hermitian matrix has a unitary spectral decomposition with real eigenvalues . The matrix exponential respects similarity, giving . Its eigenvalues are positive and its conjugate transpose equals itself. In particular for , so it is a Hermitian positive-definite matrix.
A connection on a vector bundle is a complex-linear map from smooth sections to vector-bundle-valued one-forms satisfying
Choose a locally finite trivializing cover, its componentwise flat connections on a vector bundle , and a subordinate smooth partition of unity . The formula is globally meaningful: each weighted term extends by zero outside its chart. Its Leibniz rule follows from , proving every smooth complex vector bundle admits a connection.
Extend the connection on a vector bundle to bundle-valued differential forms by
The curvature form of a connection is . Applying this twice to shows that the terms cancel, so is tensorial and defines an -valued two-form. With column coordinates for sections and connection one-form , the local expression is . Direct expansion on an arbitrary bundle-valued form gives
The terms containing a derivative of the argument cancel by the graded Leibniz rule. Thus Cartan curvature matrix equation is
Here multiplication includes matrix multiplication and the exterior product of form entries. For a frame change , the connection one-form and curvature form of a connection transform as
The trace is consequently frame independent. Also
the diagonal terms vanish and the off-diagonal terms cancel in pairs. Locally , and hence . The local primitives need not agree, but the two-form does. We obtain a global closed two-form .
The determinant connection on is defined intrinsically by
where the differential-form coefficient of is placed first. In a local frame, only the diagonal components contribute to the derivative of , so its connection one-form is . A line-bundle connection has curvature , because a scalar one-form wedges with itself to zero. Therefore
To see independence of the de Rham cohomology class, write , a globally defined endomorphism-valued one-form. The curvature difference formula and the same trace cancellations give the trace curvature transgression
Their difference is globally an exact differential form, so their de Rham cohomology classes coincide.
For the Hermitian metric on a holomorphic vector bundle, use the displayed ordering of the local matrices and put . The identity gives
The plus sign comes from applying the graded Leibniz rule to the one-form . By the derivative formula for a determinant,
The Hermitian positive-definite matrix has positive real determinant, so this logarithm is an ordinary smooth real function. The trace of Chern curvature in these conventions is therefore
It is locally an exact differential form and in particular closed.
A holomorphic local frame change multiplies by . A nowhere-zero holomorphic function has a local holomorphic logarithm, so . Thus the preceding expression for is independent of the frame and glues globally. For two Hermitian metrics on a holomorphic vector bundle, the function
is globally defined because the frame-change factors cancel. Their two-forms differ by . Hence the class of is independent of the metric. The two-form is generally imaginary-valued; the metric independence statement is in complex de Rham cohomology, or equivalently for the real form .
Use the normalization in which a Hodge metric is a Kähler metric whose Kähler form represents the image of an integral cohomology class in real de Rham cohomology. Equivalently, all its periods on integral two-cycles are integers. A convention using only rescales the metric and does not change existence. An invariant metric on a complex torus is one preserved by every translation; its pullback to has constant coefficients.
Let carry a Hodge metric. Average its Kähler form over translations using normalized Haar measure:
This averaging Kähler forms over a complex torus preserves reality, type , closedness and positivity. Indeed, for any nonzero tangent vector, the quantity being averaged in is strictly positive. Every translation is homotopic to the identity, since a path from to supplies such a homotopy. Thus , as is seen either on de Rham cohomology or by integrating over two-cycles. The average is translation invariant by invariance of Haar measure and determines a Kähler metric . Its class is still integral. The reverse implication is immediate. Therefore a Hodge metric exists exactly when an invariant one does.
Here is the Riemann bilinear criterion for a period matrix, with the signs kept explicit. For the period matrix of a complex torus, use real coordinates along the lattice basis, so . An invariant real two-form is
Its period on the coordinate two-torus is ; these tori generate integral second homology. Thus integrality of the class is exactly . Positivity of a Kähler form makes nonsingular. Because the lattice basis is a real basis of , the complex matrix
is invertible: its rows recover the real and imaginary parts of the coordinates. In the coordinates , the matrix of the two-form is , whose inverse is .
The differential form of type (p, q) condition says that the two diagonal blocks of the form matrix vanish. Since the form is nonsingular, this is equivalent to the diagonal blocks of its inverse vanishing. Because is real, these inverse blocks vanish exactly when
Set . Skew-symmetry and reality of give , and the full inverse matrix is
Inverting these blocks identifies the two-form explicitly:
For a vector with complex coordinate column , evaluation yields . Hence this two-form is positive exactly when is a Hermitian positive-definite matrix. This proves both directions: an invariant Hodge metric gives such an integral , and any such produces a constant positive real closed -form of integral periods. In particular,
As a sign check, for and the last matrix is , and the associated form is .
For the specified two-dimensional complex torus, put
The real and imaginary period vectors are independent because , so they do form a full lattice. Suppose a polarization matrix existed. Its inverse is a rational skew-symmetric matrix, and hence has the block expression
The first condition of the Riemann bilinear criterion for a period matrix becomes
Separating real and imaginary parts gives and
The matrices on both sides have rational entries except for the factor . Irrationality of therefore implies and . For a symmetric two-by-two matrix the latter expression is , so . The candidate Hermitian matrix is now
Since , is symmetric and traceless, and is skew-symmetric, and . Thus . A Hermitian positive-definite matrix has strictly positive eigenvalues, hence strictly positive trace. This contradiction proves
For , the energy ratio is the Rayleigh quotient of the Hermitian positive-definite matrix :
Expanding in the orthonormal right singular vectors makes this a weighted average of . Hence
Any nonzero vector in the largest right-singular subspace is optimal if is repeated. Its amplified state is proportional to the paired left singular vector. For a non-normal matrix , this optimal initial direction need not be an eigenvector of , explaining transient growth from non-normal modes.
Because is symmetric positive definite,
Thus the only stationary point is , and
The final term is positive unless , proving that is the unique minimizer.
For the two-periodic Fourier series, orthogonality of the exponential basis gives the Fourier coefficient
where any interval of length two could replace .
Let for . Since is real,
so and is a Hermitian matrix. For any nonzero ,
The trigonometric polynomial in the modulus cannot vanish identically unless every vanishes. Since , the integral is strictly positive. Hence is Hermitian positive definite, which is the positive Fourier-symbol Toeplitz matrix result.
The matrix from part (a) is Hermitian positive definite, while the real diagonal matrix is Hermitian. The stated product theorem, or similarity
shows that every eigenvalue of is real. Hence every eigenvalue of is real; this is the real spectrum of a positive-Hermitian times Hermitian product.
Moreover, is invertible and has rank , so for the matrix has nonzero real eigenvalues. If is one of them, the corresponding mode of the semidiscrete equation has eigenvalue . The explicit Euler method has amplification factor
for every . Therefore the explicit Euler discretization is unstable, as in explicit Euler instability on a nonzero imaginary eigenvalue.
The finite-dimensional spectral theorem gives a spectral decomposition of the Hermitian matrix:
The matrix exponential respects similarity, so
The diagonal entries are real, so the conjugate transpose of this expression equals itself. Its eigenvalues are , proving
In particular, for any nonzero , . Thus the exponential of a Hermitian matrix is a Hermitian positive-definite matrix, even when itself has negative eigenvalues.
For a real symmetric matrix , completing the square gives, when ,
Thus is a positive-definite matrix exactly when and . For necessity, test first, then ; for sufficiency, the displayed two positive squares give the result. These are the first two leading principal minors in Sylvester's criterion. A positive determinant alone is insufficient: has determinant but is a negative-definite matrix.
The eigenvalues provide an equivalent test under the same real-symmetric hypothesis:
The spectral theorem for real symmetric matrices supplies coordinates in an orthonormal basis in which . More generally, a complex Hermitian matrix has an orthonormal eigenbasis and , so it is a Hermitian positive-definite matrix exactly when every eigenvalue is positive. This is a short proof outline: test the eigenvectors for necessity, and sum the positive squared absolute values for sufficiency.[ref]
For a real positive semidefinite matrix, the condition is instead for all vectors, equivalent here to , , and . If , the same completing the square proves this; if , nonnegativity forces and leaves with . Merely replacing the strict inequalities on the leading principal minors by nonstrict ones fails: has both leading principal minors zero yet gives . An indefinite quadratic form takes both positive and negative values; its real symmetric matrix has eigenvalues of both signs.