is a key result in potential theory, providing quantitative estimates for positive harmonic and superharmonic functions. It establishes a relationship between maximum and minimum values on compact subsets of a domain, offering crucial insights into function behavior.
This inequality has far-reaching consequences, including , , and of harmonic functions. It's been generalized to various settings, including Riemannian manifolds and elliptic operators, expanding its applicability in potential theory and PDEs.
Definition of Harnack's inequality
Fundamental result in the theory of harmonic and superharmonic functions
Provides a quantitative estimate of the oscillation of a positive harmonic or on a domain
Establishes a relationship between the maximum and minimum values of a function on a of the domain
Harnack's inequality for harmonic functions
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Applies to positive harmonic functions u on a domain Ω
States that for any compact subset K⊂Ω, there exists a constant C>0 such that maxKu≤CminKu
The constant C depends on the dimension, the domain, and the distance between K and ∂Ω
Example: If u is a positive on the unit ball B(0,1), then maxB(0,1/2)u≤3nminB(0,1/2)u, where n is the dimension
Harnack's inequality for superharmonic functions
Extends Harnack's inequality to positive superharmonic functions
A function u is superharmonic if −u is subharmonic, meaning u satisfies the mean value inequality: u(x)≥∣B(x,r)∣1∫B(x,r)u(y)dy for all balls B(x,r)⊂Ω
Harnack's inequality for superharmonic functions states that for any compact subset K⊂Ω, there exists a constant C>0 such that maxKu≤Cu(x) for all x∈K
Constants in Harnack's inequality
The constant C in Harnack's inequality depends on several factors:
The dimension of the space
The geometry of the domain Ω
The distance between the compact set K and the boundary ∂Ω
In some cases, explicit constants can be obtained, such as the 3n constant for the unit ball in Rn
Finding sharp constants in Harnack's inequality is an active area of research
Consequences of Harnack's inequality
Harnack's inequality has several important consequences in potential theory and the study of elliptic partial differential equations
Provides a powerful tool for studying the behavior of harmonic and superharmonic functions
Harnack's principle
A qualitative version of Harnack's inequality
States that if a sequence of positive harmonic functions converges at a single point, then it converges uniformly on compact subsets of the domain
Useful for proving the existence and uniqueness of solutions to various boundary value problems
Liouville's theorem
A consequence of Harnack's inequality for harmonic functions on the entire space Rn
States that any positive harmonic function on Rn must be constant
Demonstrates the rigidity of harmonic functions on unbounded domains
Hölder continuity of harmonic functions
Harnack's inequality implies that harmonic functions are locally Hölder continuous
For any compact subset K⊂Ω, there exist constants C>0 and α∈(0,1) such that ∣u(x)−u(y)∣≤C∣x−y∣α for all x,y∈K
The Hölder exponent α depends on the dimension and the distance between K and ∂Ω
Proof of Harnack's inequality
The proof of Harnack's inequality relies on several key techniques and inequalities in potential theory
Different approaches can be used depending on the context and the desired level of generality
Poisson kernel representation
Expresses a positive harmonic function u on a ball B(x,r) as an integral of its boundary values against the
The Poisson kernel is given by P(x,y)=nα(n)r∣x−y∣nr2−∣x−y∣2 for x∈B(x,r) and y∈∂B(x,r), where α(n) is the volume of the unit ball in Rn
Allows for estimating the values of u inside the ball in terms of its boundary values
Harnack chains
A technique for comparing the values of a positive harmonic function at two points in a domain
Constructs a chain of balls connecting the two points, such that the ratio of the function values on consecutive balls is controlled by Harnack's inequality
The number of balls in the chain depends on the distance between the points and the geometry of the domain
Caccioppoli inequality
A key ingredient in the proof of Harnack's inequality
Provides an estimate for the L2 norm of the gradient of a harmonic function in terms of its L2 norm on a larger set
Specifically, if u is harmonic on B(x,r), then ∫B(x,r/2)∣∇u∣2dx≤r2C∫B(x,r)u2dx for some constant C>0
Moser's iteration technique
A powerful method for deriving Harnack's inequality from the
Involves iteratively applying the Caccioppoli inequality to obtain Lp estimates for the function with increasing values of p
Leads to a bound on the supremum of the function in terms of its Lp norm, which can be translated into Harnack's inequality
Generalizations of Harnack's inequality
Harnack's inequality has been generalized to various settings beyond harmonic functions on Euclidean domains
These generalizations extend the applicability of the inequality to a wider range of problems in potential theory and PDEs
Harnack's inequality on Riemannian manifolds
Extends Harnack's inequality to positive harmonic functions on Riemannian manifolds
Requires the manifold to satisfy certain geometric conditions, such as non-negative Ricci curvature or a doubling property for the volume of balls
The constant in the inequality depends on the geometry of the manifold, such as the injectivity radius and the curvature bounds
Harnack's inequality for elliptic operators
Generalizes Harnack's inequality to positive solutions of elliptic partial differential equations
Considers operators of the form Lu=−div(A(x)∇u)+b(x)⋅∇u+c(x)u, where A is a uniformly positive definite matrix, and b and c are bounded coefficients
The constants in the inequality depend on the ellipticity of the operator and the regularity of the coefficients
Harnack's inequality for parabolic equations
Adapts Harnack's inequality to positive solutions of parabolic partial differential equations, such as the heat equation
Involves comparing the values of the solution at different times and locations
The inequality takes the form u(x,t)≤Cu(y,s) for (x,t) and (y,s) satisfying certain space-time conditions
The constant C depends on the parabolic operator and the space-time geometry
Applications of Harnack's inequality
Harnack's inequality and its generalizations have numerous applications in potential theory, PDEs, and other areas of analysis
Provides a powerful tool for studying the behavior of solutions to various problems
Boundary Harnack principle
An extension of Harnack's inequality that compares the values of positive harmonic functions near the boundary of a domain
Useful for studying the boundary behavior of solutions to elliptic boundary value problems
Plays a crucial role in the study of the Martin boundary and the construction of the Martin kernel
Regularity of solutions to elliptic PDEs
Harnack's inequality can be used to derive regularity estimates for solutions to elliptic PDEs
Implies that solutions are locally Hölder continuous and can be used to establish higher-order regularity properties
Helps in understanding the smoothness of solutions and their dependence on the data and the coefficients of the equation
Convergence of solutions to elliptic PDEs
Harnack's inequality is a key tool in proving the convergence of sequences of solutions to elliptic PDEs
Allows for obtaining uniform estimates on the solutions and their derivatives
Used in the study of homogenization, singular perturbations, and other asymptotic problems in PDEs
Harnack's inequality in potential theory
Harnack's inequality is a fundamental result in potential theory, which studies the properties of harmonic and subharmonic functions
Provides a quantitative estimate of the oscillation of potentials and Green's functions
Plays a role in the study of capacity, polar sets, and fine properties of potentials
Used in the construction of the Martin boundary and the study of minimal positive harmonic functions