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Weak derivatives are represented distributional derivatives
Remark
Assume Countable Choice, as required by the cited regular-distribution injection, weak-derivative uniqueness, measure, and interval-FTC results. Let be open, , let , and let . Then When such an exists, its almost-everywhere class is unique. Every distribution has distributional derivatives, but these derivatives need not lie in the image of the regular-distribution map. In particular, a locally integrable function can belong to every under consideration and still have no weak derivative.
Example of the obstruction. On let . This function is in for every , but its distributional derivative is . The delta distribution is not the regular distribution of any , so has no locally integrable weak derivative, and consequently no weak derivative.
Facts & Assumptions
Given: Countable Choice, an open set , , , and .
The regular pairing defines a distribution for each ; under Countable Choice the map from almost-everywhere classes to distributions is injective (Locally integrable functions as regular distributions).
The weak-derivative identity is equivalent to (Weak derivative of a locally integrable function).
A weak derivative, when it exists, is unique as an almost-everywhere class under Countable Choice (Uniqueness of a weak derivative as an almost-everywhere class).
Distributional differentiation maps every distribution to a distribution, with the signed-transpose convention (Distributional derivative).
A complex class is the quotient of measurable functions with finite (Complex Lp classes and Euclidean test-function conventions).
For finite , is the th-root integral size; for , is the essential-supremum size (Complex Lp classes and Euclidean test-function conventions).
The intervals and have measures one and two, respectively, and has measure for (A box in with parameters is Lebesgue measurable of measure , whichever of its faces are included).
The nonnegative integral of an indicator equals the measure of its measurable set, and a nonnegative simple function has integral equal to its simple integral (The integral of a nonnegative simple function, The nonnegative integral agrees with the simple integral on simple functions).
Every compact subset of is measurable with finite measure under Countable Choice; the integral over a measurable set is the integral after restricting by its indicator, and the nonnegative integral is monotone (Lebesgue measure is sigma-finite, and every metrically bounded subset of has finite outer measure, Integral over a measurable subset, Monotonicity and nonnegative homogeneity of the nonnegative integral).
A complex function is integrable when its modulus has finite integral (Integrable real and complex functions, and their integrals).
In one dimension there is a smooth equal to one on and with support contained in (A smooth bump between concentric Euclidean balls).
If is integrable on a compact set, then its absolute integral over measurable subsets tends to zero as their measure tends to zero (Absolute continuity of the integral).
For complex functions, the Lebesgue integral of the derivative on a compact interval is the endpoint increment, under Countable Choice (Complex integration by parts on intervals and decaying lines).
For , the Dirac distribution satisfies (Dirac delta and its derivatives).
For open , membership in means integrability on every compact subset of (Regular distribution from a locally integrable function).
A test function on an open set has compact support in that set, and its zero extension to is smooth with compact support (Test function space d of an open set).
Composing a smooth one-variable function with preserves smoothness; iterating the chain rule gives (The chain rule, in one line from Carathéodory: if is differentiable at and is differentiable at , then is differentiable at with ).
Countable Choice asserts that every countably indexed family of nonempty sets has a choice function (The Axiom of Countable Choice ()).
Proof
For every test , the identity expands by [F1] and [F4] to ; since the sign squares to one, this is exactly the weak-derivative identity, and conversely that identity gives the distribution equality, proving both directions of the image criterion.
On , let ; [F6] gives and , so [F7], [F5], and [F18] give for finite and essential supremum one, hence for every ; also by [F7] and [F9], and for every compact , [F8] gives , so by [F14].
If , [F1] gives only the zero regular distribution and locally integrable class, so the image criterion holds and the weak test identity is vacuous.
If and both represent , step 1.1 makes both weak -derivatives of , and Countable-Choice uniqueness [F3] gives almost everywhere.
If , then and ; step 1.1 and the injection [F1] identify every representing class with almost everywhere.
For , its zero extension is smooth and vanishes at by [F15], so the signed derivative and complex FTC [F4, F12] give by [F13]; hence .
If for some , choose the bump from [F10] with and , and set for ; iterating the chain rule [F16] and scaling its compact support [F15] make this a test with value one at zero and , so [F1] and [F13] give . The function is integrable on by [F14], while [F6] makes the interval measures tend to zero and absolute continuity [F11] makes the right side tend to zero, a contradiction. Thus has no locally integrable representative, and step 1.2's function has no weak derivative.
If , [F1] gives and [F4] gives ; step 1.1 makes zero a weak derivative, and step 2.1 makes its class unique.
Countable Choice is used only by the injection and uniqueness [F1, F3], interval and compact-measure facts [F6, F8], and complex interval FTC [F12]; the test-pairing equivalence and shrinking-test contradiction are direct, and no full Axiom of Choice is used.
Depends on
- Locally integrable functions as regular distributions
- Regular distribution from a locally integrable function
- Test function space d of an open set
- Weak derivative of a locally integrable function
- Uniqueness of a weak derivative as an almost-everywhere class
- Distributional derivative
- Dirac delta and its derivatives
- Complex Lp classes and Euclidean test-function conventions
- Absolute continuity of the integral
- 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
- Integrable real and complex functions, and their integrals
- Integral over a measurable subset
- 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
- Lebesgue measure is sigma-finite, and every metrically bounded subset of $\mathbb{R}^n$ has finite outer measure
- A smooth bump between concentric Euclidean balls
- Complex integration by parts on intervals and decaying lines
- The chain rule, in one line from Carathéodory: if $g$ is differentiable at $c$ and $f$ is differentiable at $g(c)$, then $f \circ g$ is differentiable at $c$ with $(f \circ g)'(c) = f'(g(c))\,g'(c)$
- The Axiom of Countable Choice ($\mathrm{AC}_\omega$)
Used by
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Sources
- Haim Brezis, Functional Analysis, Sobolev Spaces and Partial Differential Equations (2011) (standard reference, not scraped)
- John K. Hunter, Notes on Partial Differential Equations (2014) (standard reference, not scraped)