- #1
meiji1
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Homework Statement
Let [tex]\phi \in C^{\infty}_{0}(\mathbb{R}^2)[/tex] and [tex]f: \mathbb{R}^2 \to \mathbb{R}[/tex] a smooth, non-negative function. For [tex]c > 0[/tex], let [tex] < F_c, \phi > := \int_{\{f(x,y) \le c\}} \phi(x,y)\mbox{dx dy} [/tex]. Supposing the gradient of [tex]\frac{\partial f}{\partial x}[/tex] is nonzero everywhere on [tex] M = \{(x,y) : f(x,y) = c \} [/tex], prove that the pointwise limit [tex] lim_{\epsilon \to 0^+} \frac{<F_{c+\epsilon},\phi> - <F_c,\phi>}{\epsilon} [/tex] exists for every [tex]\phi \in C^{\infty}_{0}(\mathbb{R}^2)[/tex].
Homework Equations
N/A
The Attempt at a Solution
I know nothing about calculus on manifolds, which I'm sure would help here. The exercise is given in the context of distribution theory.
I get that the idea is to use the implicit function theorem within [tex]\frac{F_{c+\epsilon} - F_c}{\epsilon} = \int_{c < f(x,y) \le c+\epsilon} \frac{\phi(x,y)}{\epsilon}\mbox{dy dx}[/tex], somehow. This poses two major problems I can't get past: first, I need to resolve the epsilon in the denominator of the integrand, I would suspect through a substitution of the form [tex]y' = \epsilon y[/tex] (or analogously with x, of course).
Second, I can't see how to extend the implicit function theorem to the set [tex]M_\epsilon = \{(x,y): c \le f(x,y) \le c+\epsilon\}[/tex]. The implicit function [tex]g(y)[/tex] given by the theorem is defined and differentiable on some ambiguous open neighborhood of a point [tex](x,y) \in M[/tex] only, with [tex]f(g(y),y) = c[/tex] in that neighborhood; it's not clear how to extend g past M to obtain [tex]f(g(y),y) = f(x,y)[/tex] for all points [tex](x,y) \in M_\epsilon[/tex], if that's the proper approach.
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