Convergence of Slowly Growing Functions in Distribution Theory

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This class is making my head hurt. I could use some help.

Homework Statement


Show that if f(x) is a function of slow growth on the real line,
\lim}_{\substack \varepsilon \rightarrow0^+} \langle f(x)e^{- \varepsilon |x|}, \phi (x) \rangle = \langle f, \phi \rangle
where \phi (x) is a test function.

Homework Equations


Definition of distribution:
\langle f , \phi \rangle = \int_{R_n} f(x) \phi(x) dx

The Attempt at a Solution


If I look at the function f_\varepsilon (x) = f(x)e^{-\varepsilon | x |}, I can say that the function is locally integrable, (actually L_1 (-\infty, \infty)). Can't I just invoke the Lebesgue Dominated Convergence theorem here? That is, since f_\varepsilon is locally integrable, and f_\varepsilon \rightarrow f pointwise, that f_\varepsilon \rightarrow f in a distributional sense.

Or am I missing something here. Are there other considerations to take into account?
 
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I think dominated convergence theorem works, doesn't it? You know f*phi is integrable. e^(-epsilon*|x|)*f(x)*phi(x) converges pointwise to f*phi and is dominated by |f*phi|. It all sounds kosher to me.
 
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