TheoremBase

Quadruple Approximable by Test-Function Data

A quadruple of a point, value, vector and symmetric matrix is approximable by test data when it is the limit of data of C2C^2 test functions touching the function from above (or from below) at nearby points.

Statement

In the setting of Second-Order Equations on Euclidean Open Sets, let n≥1n\ge1 be a natural number, let U⊆RnU\subseteq\mathbb{R}^{n} be open, let u:U→Ru:U\to\mathbb{R}, let x0∈Ux_{0}\in U, let p∈Rnp\in\mathbb{R}^{n} and let X∈S(n)X\in\mathcal{S}(n).

For a function φ:U→R\varphi:U\to\mathbb{R} of class C2C^{2} on UU and y∈Uy\in U, the gradient Dφ(y)D\varphi(y) lies in Rn\mathbb{R}^{n} and the Hessian D2φ(y)D^{2}\varphi(y) lies in S(n)\mathcal{S}(n) by that clause.

1. (From above) The quadruple (x0,u(x0),p,X)\bigl(x_{0},u(x_{0}),p,X\bigr) is approximable by test data from above for uu if for every positive ε∈R\varepsilon\in\mathbb{R} there exist y∈Uy\in U and a function φ:U→R\varphi:U\to\mathbb{R} of class C2C^{2} on UU such that u−φu-\varphi has a local maximum at yy relative to UU and

dE(y,x0)<ε,∣u(y)−u(x0)∣<ε,∥Dφ(y)−p∥<ε,dS(n)(D2φ(y),X)<ε.d_{E}(y,x_{0})<\varepsilon,\qquad |u(y)-u(x_{0})|<\varepsilon,\qquad \lVert D\varphi(y)-p\rVert<\varepsilon,\qquad d_{\mathcal{S}(n)}\bigl(D^{2}\varphi(y),X\bigr)<\varepsilon .

2. (From below) The quadruple (x0,u(x0),p,X)\bigl(x_{0},u(x_{0}),p,X\bigr) is approximable by test data from below for uu if for every positive ε∈R\varepsilon\in\mathbb{R} there exist y∈Uy\in U and a function φ:U→R\varphi:U\to\mathbb{R} of class C2C^{2} on UU such that u−φu-\varphi has a local minimum at yy relative to UU and the four displayed inequalities of clause 1 hold.

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