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Derivative estimate proof of one sided harmonic liouville
Statement
Let , , and be real harmonic on . If , then . If , the stronger estimate holds without assuming a finite global supremum. Consequently, a nonnegative entire harmonic function has gradient zero everywhere.
Facts & Assumptions
Given: The objects and hypotheses in the statement.
Smooth sphere data have a unique smooth harmonic replacement given by the displayed sphere kernel, continuous with those data on the boundary. (Smooth sphere data have a harmonic replacement).
Every partial derivative of a smooth harmonic function is smooth harmonic. (Derivatives of harmonic functions are harmonic).
A classical harmonic function has the ball mean-value property. (Ball mean-value property for harmonic functions).
A continuous function with the ball mean-value property is smooth and harmonic. (Continuous ball-mean-value functions are harmonic).
Proof
The ball mean property and the continuous mean-value theorem make smooth. Its partial derivatives are therefore harmonic by the smooth derivative lemma, whose smoothness hypothesis is now satisfied.
On every sphere of radius , the trace of is smooth. Harmonic replacement and uniqueness represent inside the smaller ball by this trace. Differentiate the kernel at its center and write . It gives , while the undifferentiated center formula gives . Derivative passage is justified by the same compact-sphere bounds as in replacement.
Taking vector norms and using bounds the gradient by times the average of . This is at most in the bounded signed case, and exactly as an upper bound in the nonnegative case. Let to obtain both estimates.
For a nonnegative entire harmonic function, the positive estimate holds at each fixed for every . Let to obtain . This is also a second route to one-sided Liouville after shifting and, if necessary, negating the function.
Depends on
Used by
Nothing in the library uses this result yet.
Dependency tree · two levels
14 results within two dependency steps of this one, each drawn at its shortest distance from it. An arrow runs from a result to what uses it, so the chart reads left to right and ends at this result, which carries a heavier outline. Every node is a link to that result. Click elsewhere on the chart to enlarge it.
Sources
- John K. Hunter, Notes on Partial Differential Equations (2014) (standard reference, not scraped)
- Tsogtgerel Gantumur, Harmonic functions (2012) (standard reference, not scraped)