Harmonic Functions #
This file defines harmonic functions on real, finite-dimensional, inner product spaces E.
Definition #
Let E be a real, finite-dimensional, inner product space and x be a point of E. A function f
on E is harmonic at x if it is two times continuously ℝ-differentiable and if its Laplacian
vanishes in a neighborhood of x.
Equations
- InnerProductSpace.HarmonicAt f x = (ContDiffAt ℝ 2 f x ∧ Laplacian.laplacian f =ᶠ[nhds x] 0)
Instances For
Let E be a real, finite-dimensional, inner product space and s be a subset of E. A function
f on E is harmonic in a neighborhood of s if it is harmonic at every point of s.
Equations
- InnerProductSpace.HarmonicOnNhd f s = ∀ x ∈ s, InnerProductSpace.HarmonicAt f x
Instances For
Harmonic functions are two times continuously differentiable.
Elementary Properties #
If two functions agree in a neighborhood of x, then one is harmonic at x iff so is the other.
If f is harmonic at x, then it is harmonic at all points in a neighborhood of x.
Constant functions are harmonic
Constant functions are harmonic
Harmonicity is an open property.
If f is harmonic in a neighborhood of s, it is harmonic in a neighborhood of every subset.
Harmonic functions are continuous.
Vector Space Structure #
Sums of harmonic functions are harmonic.
Differences of harmonic functions are harmonic.
Sums of harmonic functions are harmonic.
Differences of harmonic functions are harmonic.
The negative of a harmonic function is harmonic.
The negative of a harmonic function is harmonic.
Scalar multiples of harmonic functions are harmonic.
Scalar multiples of harmonic functions are harmonic.
Compatibility with Linear Maps #
Compositions of continuous ℝ-linear maps with harmonic functions are harmonic.
Compositions of continuous linear maps with harmonic functions are harmonic.
Functions are harmonic iff their compositions with continuous linear equivalences are harmonic.
Functions are harmonic iff their compositions with continuous linear equivalences are harmonic.