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Lower semicontinuity of logarithmic potential and energy
Statement
Let be nonempty compact and let be Borel probability measures on with . With the Borel kernel assigned on the diagonal, the extended integrals and of Logarithmic potential and energy of a positive compactly supported measure are unambiguous: for each fixed , a Borel function of that equals for -almost every gives the same potential at ; a Borel kernel equal to for -almost every gives the same energy. Moreover
Finally, if for some then , so for atomic measures the diagonal value is not a free convention. No choice principle is required.
Facts & Assumptions
Given: a nonempty compact , Borel probability measures on with , and the kernel, potential and energy conventions of Logarithmic potential and energy of a positive compactly supported measure.
On a compactly supported finite positive measure , the potential is the extended integral of the Borel kernel with diagonal value , and for the energy satisfies with (Logarithmic potential and energy of a positive compactly supported measure).
For Borel probability measures on a metric space, means for every bounded continuous real (Weak convergence of borel probability measures).
A Borel probability measure has total mass one (Probability measures and probability spaces).
The integral over a measurable null set vanishes, and the nonnegative integral is additive (A nonnegative integral over a null set vanishes, Additivity of the nonnegative Lebesgue integral).
Sums, scalar multiples, maxima and minima of continuous real functions are continuous, and is differentiable with derivative on (Sums, scalar multiples, products, absolute values, maxima, minima and quotients with nonvanishing denominator of continuous functions are continuous, as are constants, the identity and every polynomial function, The natural logarithm has derivative 1/x and equals the integral from 1 to x of 1/t).
Monotone convergence: for pointwise measurable, (Monotone convergence for the integral).
A unital point-separating subalgebra of on a nonempty compact metric space is uniformly dense (Real Stone--Weierstrass theorem for compact metric spaces).
A finite product of nonempty compact spaces is compact (A product of finitely many compact spaces is compact in the product topology).
For a product-integrable function the iterated and product integrals agree (Fubini's theorem for L^1 functions on a sigma-finite product).
The product measure is a measure on the product -algebra (The product measure of two sigma-finite measure spaces).
Proof
Let , , and be as given, fix , and set , , and in the conventions of [F1]; then for every Borel probability on .
The finite sums of continuous functions on form a unital subalgebra of separating points, so it is uniformly dense by [F7], since is a nonempty compact metric space.
The shifted kernel is Borel, nonnegative on , and equal to exactly on the diagonal.
If nonnegative measurable functions agree off a null set , then by [F4]; hence, for each fixed , Borel functions of agreeing with -almost everywhere produce the same value of , and Borel kernels agreeing with -almost everywhere produce the same energy.
Fix and choose ; for the truncation is continuous on and bounded by , because it equals near and is a minimum of continuous functions elsewhere, and for every Borel probability on .
For such a finite sum , [F9] and [F10] give .
Since is bounded and continuous, the weak convergence gives , hence for every .
For put ; it is continuous on , bounded by , and for every Borel probability on .
Given , step 1.2 provides with on and hence , so step 2.4 makes the left side tend to : .
As one has pointwise, so [F6] gives in the extended sense; combining with step 3.1 yields for every .
Therefore for every ; since pointwise, [F6] gives , so .
If , the diagonal value of the kernel gives ; for , replacing by a finite value changes from to , so the diagonal value cannot be assigned freely for the class of atomic measures.
Depends on
- Logarithmic potential and energy of a positive compactly supported measure
- Weak convergence of borel probability measures
- Probability measures and probability spaces
- The product measure of two sigma-finite measure spaces
- A nonnegative integral over a null set vanishes
- Additivity of the nonnegative Lebesgue integral
- Sums, scalar multiples, products, absolute values, maxima, minima and quotients with nonvanishing denominator of continuous functions are continuous, as are constants, the identity and every polynomial function
- The natural logarithm has derivative 1/x and equals the integral from 1 to x of 1/t
- Monotone convergence for the integral
- Real Stone--Weierstrass theorem for compact metric spaces
- A product of finitely many compact spaces is compact in the product topology
- Fubini's theorem for L^1 functions on a sigma-finite product
Used by
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Sources
- E. B. Saff, Logarithmic Potential Theory with Applications to Approximation Theory, §§1–3 (standard reference, not scraped)
- B. Khoruzhenko, LTCC Potential Theory notes, §§3 and 5 (standard reference, not scraped)