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Monge–Ampère equation
Nonlinear second-order partial differential equation of special kind From Wikipedia, the free encyclopedia
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In mathematics, a (real) Monge–Ampère equation is a nonlinear second-order partial differential equation of special kind. A second-order equation for the unknown function of two variables , is of Monge–Ampère type if it is linear in the determinant of the Hessian matrix of and in the second-order partial derivatives of . The independent variables (, ) vary over a given domain of . The term also applies to analogous equations with independent variables. The most complete results so far have been obtained when the equation is elliptic.
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Definition
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In two dimension
Given two independent variables and , and one dependent variable , the general Monge–Ampère equation is of the form
where , , , , and are functions depending on the first-order variables , , , , and only.
In general
Given a domain and a real-valued function , a (real) Monge–Ampère equation is any fully nonlinear second-order equation that can be written in the form
for some function . More generally, can be a Riemannian manifold, since are well-defined on a Riemannian manifold.
If also depends linearly on all principal minors of the Hessian matrix , then it is an equation of Monge–Ampère type.
Classification
As for other second-order fully nonlinear equations, the type of a Monge–Ampère equation is defined by the linearization of the operator at a sufficiently smooth solution. Of these, the most common is the elliptic case. When people say "Monge–Ampère equation" without adjective, they usually mean the elliptic case.
Let be an open set, be a function, and consider an operator of Monge–Ampère type
where is smooth in all variables and depends on only through its principal minors. The linearization of is of form
where
The quadratic form
is the principal symbol of the linearized operator at the point .
The equation is said to be
- elliptic at if if all eigenvalues are of the same sign,
- hyperbolic at if takes both positive and negative values (the matrix is indefinite),
- parabolic at if is degenerate (the matrix has vanishing determinant),
- degenerate elliptic if it is elliptic everywhere,
- elliptic if it is degenerate elliptic, and all eigenvalues are a bounded distance away from zero.
As follows from Jacobi's formula for the derivative of a determinant, this equation is elliptic if is a positive function and solutions satisfy the constraint of being uniformly convex. If is merely strictly convex, then the equation is degenerate-elliptic.[1]
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Examples
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The Monge–Ampère equation in its simplest form is
where is a given function on a domain . This is a special case of equation (1) below with .
The classical Liouville theorem has an analogy here. If is constant, and is defined on all of , then is a quadratic function. This is the Jörgens–Calabi–Pogorelov theorem.[2]: Sec. 4.3
If is positive and uniformly convex, and is a solution to , then its Legendre transform is a solution to .
Geometry
Monge–Ampère equations arise naturally in several problems in Riemannian geometry, conformal geometry, affine geometry, and CR geometry.
Given a twice-differentiable real-valued function defined over a domain , its graph is a manifold of n dimensions. At any , the Gaussian curvature of the manifold at is . Thus, if we want to find a manifold whose Gaussian curvature is an arbitrary function we pick ourselves, then we need to solve the following Monge–Ampère equation:
where is the Gaussian curvature we want. Given such a function K, it is nontrivial to find a solution, if any. The problem of finding a solution is the Minkowski problem, or the prescribed Gaussian curvature problem.[1]
For example, the rigidity of the 2-sphere manifests as the fact that if we require , then there are just two unique solutions, which is the unit 2-sphere and its reflection.
The affine spheres can be characterized by a Monge–Ampère equation.
Optimal transport
Consider the problem of optimal transport with quadratic cost (this is also called the 2-Wasserstein metric problem) on . That is, suppose are distributions on with probability density functions . In this case, a map is a transport map iff it satisfiesfor any integrable test function . The problem is to find the that minimizes the following quadratic cost function:By a theorem of Brenier, the optimal transport map exists, and is the gradient of a convex function , with . The convex function satisfies a Monge–Ampère equation:[3]: 282 [4][5]The boundary condition simply states that the optimal transport maps the boundary of the source to the boundary of the target. Furthermore, the solution is almost everywhere unique.
The function is called the potential function of the problem in this case.
Conversely, some Monge–Ampère equations can be interpreted optimal transport. Weak-solutions of a Monge–Ampère equations obtained by optimal transport are often called Brenier solutions in the literature. Brenier solutions satisfy their corresponding Monge–Ampère equations almost everywhere.[3]: 323
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Rellich's theorem
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Let be a bounded domain in , and suppose that on the coefficients , , , , and are continuous functions of and only. Consider the Dirichlet problem to find so that
If
then the Dirichlet problem has at most two solutions.[6]
Ellipticity results
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Suppose now that is a variable with values in a domain in , and that is a positive function. Then the Monge–Ampère equation
is a nonlinear elliptic partial differential equation (in the sense that its linearization is elliptic), provided one confines attention to convex solutions.
Accordingly, the operator satisfies versions of the maximum principle, and in particular solutions to the Dirichlet problem are unique, provided they exist.[citation needed]
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See also
References
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