Let p, so that 1 ≤ p < ∞ and Ω a subset bounded at least in one direction. Then there exists a constant C, depending only on Ω and p, so that, for every function u of the Sobolev spaceW01,p of zero-trace functions,
Poincaré–Wirtinger inequality
Assume that 1 ≤ p ≤ ∞ and that Ω is a bounded connectedopen subset of the n-dimensional Euclidean spaceRn with a Lipschitz boundary. Then there exists a constant C, depending only on Ω and p, such that for every function u in the Sobolev space W1,p, where is the average value of u over Ω, with |Ω| standing for the Lebesgue measure of the domain Ω. When Ω is a ball, the above inequality is called a -Poincaré inequality; for more general domains Ω, the above is more familiarly known as a Sobolev inequality.
Generalizations
In the context of metric measure spaces, such spaces support a -Poincare inequality for some if there are constants C and so that for each ball B in the space, In the context of metric measure spaces, is the minimal p-weak upper gradient of u in the sense of Heinonen and Koskela There exist other generalizations of the Poincaré inequality to other Sobolev spaces. For example, the following is a Poincaré inequality for the Sobolev space H1/2, i.e. the space of functionsu in the L2 space of the unittorusT2 with Fourier transformû satisfying there exists a constant C such that, for every u ∈ H1/2 with uidentically zero on an open setE ⊆ T2, where cap denotes the harmonic capacity of E × when thought of as a subset of R3.
The Poincaré constant
The optimal constant C in the Poincaré inequality is sometimes known as the Poincaré constant for the domain Ω. Determining the Poincaré constant is, in general, a very hard task that depends upon the value of p and the geometry of the domain Ω. Certain special cases are tractable, however. For example, if Ω is a bounded, convex, Lipschitz domain with diameterd, then the Poincaré constant is at most d/2 for p = 1, for p = 2, and this is the best possible estimate on the Poincaré constant in terms of the diameter alone. For smooth functions, this can be understood as an application of the isoperimetric inequality to the function's level sets. In one dimension, this is Wirtinger's inequality for functions. However, in some special cases the constant C can be determined concretely. For example, for p = 2, it is well known that over the domain of unit isosceles right triangle, C = 1/π. Furthermore, for a smooth, bounded domain, since the Rayleigh quotient for the Laplace operator in the space is minimized by the eigenfunction corresponding to the minimal eigenvalue λ1 of the Laplacian, it is a simple consequence that, for any, and furthermore, that the constant λ1 is optimal.