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Mollification of a complex two-step function
Example
Assume countable choice. Let be nonnegative, supported in , and satisfy . Put and . Then This is smooth, is supported in , and tends to in each finite , with Its essential-supremum error is at least : every continuous function on has essential-supremum distance at least from this .
Facts & Assumptions
Given: Countable choice, the specified real nonnegative mass-one smooth kernel, , and the displayed complex two-step function.
Real mollifiers smooth locally integrable complex inputs, send compactly supported inputs to compactly supported outputs, and their scalings have mass one (Complex translation, convolution, approximate identities, and mollification).
The complex Lp norm is the quantity induced by the modulus and is well-defined on a.e. classes (Complex Holder, Minkowski, and the quotient norm).
Under countable choice interval measures equal their lengths, including all endpoint conventions (A box in with parameters is Lebesgue measurable of measure , whichever of its faces are included).
A finite union has measure at most the sum of its component measures (Finite and countable subadditivity of measures).
The nonnegative integral is monotone and positively homogeneous (Monotonicity and nonnegative homogeneity of the nonnegative integral).
The simple integral is the value-weighted sum of the measures of disjoint fibers (The integral of a nonnegative simple function); on nonnegative simple functions it equals the nonnegative Lebesgue integral (The nonnegative integral agrees with the simple integral on simple functions).
Verification
The input is bounded and supported in , so F3 makes it integrable and locally integrable. In the convolution integral, has real part one exactly for and imaginary part one exactly for . Integrating the two components gives the displayed formula. Their common endpoint has measure zero by F3. F1 makes the output smooth. Since vanishes outside , both integrals vanish for and for , proving the stated support inclusion.
For , put . Outside , the entire interval stays in a constant region of , so the unit kernel mass from F1 implies . Each component of the convolution is between zero and one, because and its integral is one. The same is true for each component of , including its value at the shared endpoint. Consequently the modulus error is at most everywhere and is zero outside . F3–F4 give . Since , F5–F6 and the definition of in F2 give . Taking p-th roots proves the bound, and its limit is zero for each fixed finite .
Let be any continuous complex function. If , choose a real essential bound for the error. On the function is zero, so a.e.; by continuity this inequality holds throughout that interval, since any failure persists on an open interval of positive measure by F3. Similarly throughout . Taking the respective limits at zero gives and , whence , a contradiction. Thus every such has error at least , in particular the smooth function from step 1.1.
Depends on
- Complex translation, convolution, approximate identities, and mollification
- Complex Holder, Minkowski, and the quotient norm
- The Axiom of Countable Choice ($\mathrm{AC}_\omega$)
- A box in $\mathbb{R}^n$ with parameters $a_i\le b_i$ is Lebesgue measurable of measure $\prod_{i<n}(b_i-a_i)$, whichever of its faces are included
- Finite and countable subadditivity of measures
- Monotonicity and nonnegative homogeneity of the nonnegative integral
- The integral of a nonnegative simple function
- The nonnegative integral agrees with the simple integral on simple functions
Used by
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Sources
- Gerald Teschl, Topics in Real and Functional Analysis (standard reference, not scraped)