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This article is about harmonic function in mathematics. For harmonic function in music see diatonic functionality.

In mathematics, mathematical physics and the theory of stochastic processes, a harmonic function is a twice continuously differentiable function f : U → R (where U is an open subset of Rⁿ) which satisfies Laplace's equation, i.e.

everywhere on U. This is also often written as

or

There also exists a seemingly weaker definition that is equivalent. Indeed a function is harmonic if and only if it is weakly harmonic.

A function that satisfies is said to be subharmonic.

Contents 1 Examples 2 Remarks 3 Connections with complex function theory 4 Properties of harmonic functions 4.1 The maximum principle 4.2 The mean value property 4.3 Liouville's theorem 5 Generalizations 6 External links 7 See also

Examples of harmonic functions of two variables are:

• the real and imaginary part of any holomorphic function
• the function

f(x₁, x₂) = ln(x₁² + x₂²)

defined on R² \ {0} (e.g. the electric potential due to a line charge, and the gravity potential due to a long cylindrical mass)

• the function f(x₁, x₂) = exp(x₁)sin(x₂).

Examples of harmonic functions of three variables are:

• the electric potential outside electric charges
• the gravity potential outside masses.

Examples of harmonic functions of n variables are:

• the constant, linear and affine functions on all of Rⁿ (for example, the electric potential between the plates of a capacitor, and the gravity potential of a slab)
• the function f(x₁,...,x_n) = (x₁² + ... + x_n²)^{1 −n/2} on Rⁿ \ {0} for n ≥ 2.

The set of harmonic functions on a given open set U can be seen as the kernel of the Laplace operator Δ and is therefore a vector space over R: sums, differences and scalar multiples of harmonic functions are again harmonic.

If f is a harmonic function on U, then all partial derivatives of f are also harmonic functions on U.

In several ways, the harmonic functions are real analogues to holomorphic functions. All harmonic functions are analytic, i.e. they can be locally expressed as power series. This is a general fact about elliptic operators, of which the Laplacian is a major example.

The real and imaginary part of any holomorphic function yield harmonic functions on R². Conversely there is an operator taking a harmonic function u on a region in R² to its harmonic conjugate v, for which u+iv is a holomorphic function; here v is well-defined up to a real constant. This is well known in applications as (essentially) the Hilbert transform; it is also a basic example in mathematical analysis, in connection with singular integral operators. Geometrically u and v are related as having orthogonal trajectories, away from the zeroes of the underlying holomorphic function; the contours on which u and v are constant cross at right angles. In this regard, u+iv would be the complex potential, where u is the potential function and v is the stream function.

Some important properties of harmonic functions can be deduced from Laplace's equation.

Harmonic functions satisfy the following maximum principle: if K is any compact subset of U, then f, restricted to K, attains its maximum and minimum on the boundary of K. If U is connected, this means that f cannot have local maxima or minima, other than the exceptional case where f is constant.

If B(x,r) is a ball with center x and radius r which is completely contained in U, then the value f(x) of the harmonic function f at the center of the ball is given by the average value of f on the surface of the ball; this average value is also equal to the average value of f in the interior of the ball. In other words

where ω_n is the surface area of the unit sphere in n dimensions.

If f is a harmonic function defined on all of Rⁿ which is bounded above or bounded below, then f is constant (compare Liouville's theorem for functions of a complex variable).

One generalization of the study of harmonic functions is the study of harmonic forms on Riemannian manifolds, and it is related to the study of cohomology. Also, it is possible to define harmonic vector-valued functions, or harmonic maps of two Riemannian manifolds, which are critical points of a generalized Dirichlet energy functional (this includes harmonic functions as a special case, a result known as Dirichlet principle). These kind of harmonic maps appear in the theory of minimal surfaces. For example, a curve, that is, a map from an interval in R to a Riemannian manifold, is a harmonic map if and only if it is a geodesic.

• Eric W. Weisstein, Harmonic Function at MathWorld.
• Harmonic Functions Module by John H. Mathews

• weakly harmonic
• Subharmonic function
• Laplace's equation
• Poisson's equation
• Dirichlet problem
• heat equation