Integral equations Systems of integral equations Theorem
Matrix Wiener–Hopf factorization
Builds on Wiener–Hopf factorizationSystem of linear integral equationsFourier transformInvertible matrixWinding numberRiemann–Hilbert problemWiener–Hopf equation
Statement
Let and let be an matrix of functions in . Write entrywise, the Fourier transform, and let . Assume that for all , so that is an invertible matrix for every real . Let . Then:
- There are matrices and of functions, with on and on . There are integers such that Here has no zeros in the closed upper half-plane and has no zeros in the closed lower half-plane.
- The integers , the partial indices, are uniquely determined by , and their sum is the winding number of about .
- For , the operator on is invertible if and only if .
Remarks
The factors themselves are not unique, but the partial indices are. For this is the scalar Wiener–Hopf factorization, with the single index equal to the winding number. The proof cannot take logarithms, because matrices do not commute; one instead reduces to a matrix Riemann–Hilbert problem or works in the algebra of matrix functions with Fourier data.
The total index alone does not decide invertibility. Example: has , so the winding number of the determinant is . Its partial indices are and , so the corresponding system of Wiener–Hopf equations is not invertible. The first equation has a range of codimension and the second a kernel of dimension . Each entry is admissible, since and is the Fourier transform of the function equal to for and to for . The inverse is admissible in the same way, with the transform of a function supported on .
Going deeper
For a student
The partial indices are the matrix version of the index of a Fredholm operator, but they carry more information than the index. They are unstable: a small perturbation of can change them, while their sum stays the same. The same factorization governs the matrix Riemann–Hilbert problem on a closed contour, with the circle in place of the real line. In applications, such as diffraction by a wedge or elasticity with mixed conditions, finding the factors explicitly is the main difficulty, and only special classes of matrices admit closed forms.
Reading path
To understand this page from the ground up, read these 42 pages in order. The foundations come first.
- Binary operation definition
- Complex numbers object
- Element definition
- Fourier transform concept
- Fredholm index concept
- Fredholm operator concept
- Function concept
- Group concept
- Holomorphic function concept
- Invertible matrix concept
- Proposition concept
- Real numbers object
- System of linear integral equations concept
- Wiener–Hopf equation concept
- Commutativity definition
- Contour integral definition
- Set definition
- Laplace transform definition
- Implication definition
- Predicate definition
- Cauchy principal value definition
- Winding number definition
- Ordered pair definition
- Heaviside step function object
- Abelian group definition
- Existential quantifier definition
- Universal quantifier definition
- Cartesian product definition
- Dirac delta function object
- Circle group object
- Subset definition
- Uniqueness quantifier definition
- Binary relation definition
- Wiener's lemma statement
- Function definition
- Wiener–Hopf factorization statement
- Metric space definition
- Lipschitz map definition
- Hölder continuity definition
- Sokhotski–Plemelj theorem statement
- Riemann–Hilbert problem problem
- Matrix Wiener–Hopf factorization statement
Where this leads
1 page builds on this one.
Further reading
About this page
| Tag | 2M672PP7QR |
|---|---|
| URI | m2://2M672PP7QR |
| Kind | statement, theorem |
| Writing | W0 stub |
| MSC | 45F15, 47A68, 47A56 |
| Status | This copy of the site has no build data. Run m2 status 2M672PP7QR. |
| About | System of linear integral equations, Wiener–Hopf equation |
| Uses | Wiener–Hopf factorization, System of linear integral equations, Fourier transform, Invertible matrix, Winding number, Riemann–Hilbert problem, Wiener–Hopf equation |
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