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{{Short description|Mathematical method for integrodifferential equations}}
The '''Wiener–Hopf method''' is a mathematical technique widely used in [[applied mathematics]]. It was initially
In general, the governing equations and boundary conditions are transformed and these transforms are used to define a pair of complex functions (typically denoted with '+' and '−' subscripts) which are respectively [[analytic function|analytic]] in the upper and lower halves of the complex plane, and have growth no faster than polynomials in these regions. These two functions will also coincide on some region of the [[complex plane]], typically, a thin strip containing the [[real line]]. [[Analytic continuation]] guarantees that these two functions define a single function analytic in the entire complex plane, and [[Liouville's theorem (complex analysis)|Liouville's theorem]] implies that this function is an unknown [[polynomial]], which is often zero or constant. Analysis of the conditions at the edges and corners of the boundary allows one to determine the degree of this polynomial.
== Wiener–Hopf decomposition ==
The fundamental equation that appears in the Wiener-Hopf method is of the form
The key step in many Wiener–Hopf problems is to decompose an arbitrary function <math>\Phi</math> into two functions <math>\Phi_{\pm}</math> with the desired properties outlined above. In general, this can be done by writing▼
:<math>A(\alpha)\Xi_+(\alpha) + B(\alpha)\Psi_-(\alpha) + C(\alpha) =0, </math>
where <math>A</math>, <math>B</math>, <math>C</math> are known [[holomorphic function]]s, the functions <math>\Xi_+(\alpha)</math>, <math>\Psi_-(\alpha)</math> are unknown and the equation holds in a strip <math>\tau_- < \mathfrak{Im}(\alpha) < \tau_+</math> in the [[Complex_plane|complex <math>\alpha</math> plane]]. Finding <math>\Xi_+(\alpha)</math>, <math>\Psi_-(\alpha)</math> is what's called the '''Wiener-Hopf problem'''.{{sfn | Noble | 1958 | loc=§4.2}}
▲The key step in many Wiener–Hopf problems is to decompose an arbitrary function <math>\Phi</math> into two functions <math>\Phi_{\pm}</math> with the desired properties outlined above.
: <math>\Phi_+(\alpha) = \frac{1}{2\pi i} \int_{C_1} \Phi(z) \frac{dz}{z-\alpha}</math>
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: <math>\Phi_-(\alpha) = - \frac{1}{2\pi i} \int_{C_2} \Phi(z) \frac{dz}{z-\alpha},</math>
where the contours <math>C_1</math> and <math>C_2</math> are parallel to the real line, but pass above and below the point <math>z=\alpha</math>, respectively.{{sfn | Noble | 1958 | loc=Chapter 1}}
Similarly, arbitrary scalar functions may be decomposed into a product of +/− functions, i.e. <math>K(\alpha) = K_+(\alpha)K_-(\alpha)</math>, by first taking the logarithm, and then performing a sum decomposition. Product decompositions of matrix functions (which occur in coupled multi-modal systems such as elastic waves) are considerably more problematic since the logarithm is not well defined, and any decomposition might be expected to be non-commutative. A small subclass of commutative decompositions were obtained by Khrapkov, and various approximate methods have also been developed.{{citation needed|date=May 2020}}
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where <math>\boldsymbol{L}_{xy}</math> is a linear operator which contains derivatives with respect to {{mvar|x}} and {{mvar|y}}, subject to the mixed conditions on {{mvar|y}} = 0, for some prescribed function {{math|''g''(''x'')}},
:<math>f=g(x)\text{ for }x\leq 0, \quad f_y=0\text{ when }x>0</math>
and decay at infinity i.e. {{mvar|f}} → 0 as <math>\boldsymbol{x}\rightarrow \infty</math>.
Taking a [[Fourier transform]] with respect to {{mvar|x}} results in the following [[ordinary differential equation]]
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If a particular solution of this ordinary differential equation which satisfies the necessary decay at infinity is denoted {{math| ''F''(''k'',''y'')}}, a general solution can be written as
: <math> \widehat{f}(k,y)=C(k)F(k,y), </math>
where {{math|''C''(''k'')}} is an unknown function to be determined by the boundary conditions on {{mvar|y}}=0.
The key idea is to split <math>\widehat{f}</math> into two separate functions, <math>\widehat{f}_{+}</math> and <math>\widehat{f}_{-}</math> which are analytic in the lower- and upper-halves of the complex plane, respectively,
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: <math> K(k)=\frac{F'(k,0)}{F(k,0)}. </math>
Now <math>K(k)</math> can be decomposed into the product of functions <math>K^{-}</math> and <math>K^{+}</math> which are analytic in the upper and lower half-planes respectively.
To be precise, <math> K(k)=K^{+}(k)K^{-}(k), </math> where
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: <math> \log K^{+} = -\frac{1}{2\pi i}\int_{-\infty}^\infty \frac{\log(K(z))}{z-k} \,\textrm{d}z, \quad \operatorname{Im}k<0. </math>
(Note that this sometimes involves scaling <math>K</math> so that it tends to <math>1</math> as <math>k\rightarrow\infty</math>.) We also decompose <math>K^{+}\widehat{g\,}</math> into the sum of two functions <math>G^{+}</math> and <math>G^{-}</math> which are analytic in the lower and upper half-planes respectively, i.e.,
This can be done in the same way that we factorised <math> K(k). </math>
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*[[Riemann–Hilbert problem]]
== Notes ==
{{reflist}}
== References ==
* {{Cite web|title=Category:Wiener-Hopf - WikiWaves|url=https://wikiwaves.org/Category:Wiener-Hopf|website=wikiwaves.org|access-date=2020-05-19}}
* {{SpringerEOM |id=W/w097910|title=Wiener-Hopf method}}
* {{Cite book|last=Fornberg, Bengt
* {{cite book | last=Noble | first=Ben | title=Methods Based on the Wiener-Hopf Technique for the Solution of Partial Differential Equations | publisher=Taylor & Francis US | publication-place=New York, N.Y | date=1958 | isbn=978-0-8284-0332-0}}
{{DEFAULTSORT:Wiener-Hopf method}}
[[Category:Partial differential equations]]
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