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The Poisson integral of a finite complex boundary measure
Definition
Assume countable choice. Identify the torus with the Euclidean unit circle through and write for the normalized Haar measure of (The one-dimensional torus and its normalized Haar integral). For and put where the second expression is the Poisson kernel of The Poisson kernel on the unit disc evaluated at the boundary point of the unit circle. For each fixed the function is continuous and positive on the compact space , because is continuous and .
Integral against a finite complex measure. Let be a finite regular complex Borel measure on (Regular complex Borel measures). Define the Poisson integral of by the integral being the one against a signed or complex measure (Integration against a signed or complex measure, and the class L^1(nu) = L^1(|nu|)). This is well defined: for fixed the integrand is continuous on the compact space , hence bounded, so it belongs to , and by Integrals against signed or complex measures are bounded by total variation Linearity in is the linearity of the integral in the measure.
Integral against an density. For (The class of integrable functions) let denote the finite complex measure which is a complex measure with (A complex L^1 density defines a complex measure whose total variation is |h| dmu). Since is compact Hausdorff and second-countable, the finite positive Borel measure is regular by Locally finite Borel measures on second-countable LCH spaces are regular under the assumed countable choice. Thus is a finite regular complex measure. The displayed measurable-set formula supplies the density directly, uniquely up to -almost-everywhere equality by Two integrable functions are equal almost everywhere exactly when all of their indefinite integrals agree. For a simple measurable in canonical disjoint form, each is integrable since , and . Thus The simple integral against a signed or complex measure and The Lebesgue integral is linear on give For bounded measurable , the same identity follows as follows. Set Each is a measurable simple function with finite range, and . Hence so the definition of integration against a complex measure gives . Also, by The Lebesgue integral is linear on and The modulus of an integral is bounded by the integral of the modulus, Passing to the limit in the simple-function identity proves it for every bounded measurable . The density and approximants are supplied explicitly, so this argument uses no Radon-Nikodym existence theorem or additional choice assumption. In particular, for with , If -almost everywhere, then for every Borel (Two integrable functions are equal almost everywhere exactly when all of their indefinite integrals agree), so and : the Poisson integral of an class is independent of the chosen representative.
Radial functions. For and write so that by the preceding display. Equivalently, writing for , one has , the torus convolution of with the kernel , in agreement with the second display of The Poisson kernel on the unit disc under the identification .
Agreement with the published continuous-data integral. Let be continuous and let , a continuous hence bounded function. By the definition of the torus integral, the last step by the linear change of variables on (A C^1 diffeomorphism satisfies the change-of-variables formula for L^1 functions). The right-hand side is exactly the Poisson integral of from The Poisson integral on the unit disc, so on . The definition above therefore extends, and does not conflict with, the published real continuous-data definition.
Depends on
- Locally finite Borel measures on second-countable LCH spaces are regular
- The modulus of an integral is bounded by the integral of the modulus
- The Lebesgue integral is linear on $L^1(\mu)$
- Integrals against signed or complex measures are bounded by total variation
- A C^1 diffeomorphism satisfies the change-of-variables formula for L^1 functions
- The Axiom of Countable Choice ($\mathrm{AC}_\omega$)
- Integration against a signed or complex measure, and the class L^1(nu) = L^1(|nu|)
- The class $L^1(\mu)$ of integrable functions
- The Poisson integral on the unit disc
- The Poisson kernel on the unit disc
- The simple integral against a signed or complex measure
- Regular complex Borel measures
- The one-dimensional torus and its normalized Haar integral
- A complex L^1 density defines a complex measure whose total variation is |h| dmu
- Two integrable functions are equal almost everywhere exactly when all of their indefinite integrals agree
Used by
- Bounded harmonic functions have L-infinity Fatou boundary data Corollary
- A radial Poisson limit does not control a tangential path Counterexample
- A boundary atom gives an h1 function without an L1 density Example
- Poisson extension of an indicator arc Example
- Fatou limits for Poisson extensions of L1 boundary data Theorem
- h1 is isometric to finite regular complex boundary measures Theorem
- hᵖ is the Poisson image of Lp for 1<p<=infinity Theorem
- Poisson extension is an Lp contraction and converges in finite Lp Theorem
- Poisson nontangential maximal function is controlled by circle maximal averages Theorem
- Positive harmonic boundary measures and compact normalized families Theorem
Dependency tree · two levels
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Sources
- Axler, Bourdon and Ramey, Harmonic Function Theory, second edition, Chapter 6 (standard reference, not scraped)
- Herbert Koch, Notes for Harmonic and Real Analysis (University of Bonn, 2014-15), Chapter 3 (standard reference, not scraped)