A Poincare inequality controls a function by its derivatives after the constant ambiguity has been removed. For example, on a bounded connected Lipschitz domain,
Suppose vanishes on a measurable subset of measure at least , with . Writing for its mean, the zero set gives . Thus , and the Poincare-Wirtinger inequality supplies the displayed estimate. An elementary proof of that inequality on a ball bounds differences along line segments and splits the segment parameter at , giving the valid explicit constant . The change of scale from the unit ball multiplies the constant by .
For , a round annulus is connected and obeys . Scaling reduces the claim to a fixed annulus. In dimension one the annulus has two components, so the inequality fails with a single average; one needs a separate average on each component.
On a bounded connected Lipschitz domain , every satisfiesEquivalently, the gradient norm is equivalent to the norm on the mean-zero Sobolev space.
For the cube and ,This follows from the pairwise-difference identityand a coordinate-by-coordinate path from to . The Cauchy-Schwarz inequality bounds the squared sum of its increments by times the sum of their squares, while the one-dimensional fundamental theorem of calculus bounds each integrated increment by . Division by gives the stated constant.
The mean-zero Sobolev space is the closed subspaceOn a bounded connected Lipschitz domain, the Poincare-Wirtinger inequality makes an equivalent Hilbert norm on this space.
If is bounded and connected and a boundary portion has positive surface measure, thenfor every whose trace vanishes on . Otherwise a normalized counterexample sequence, the Rellich-Kondrashov compactness theorem, and continuity of the trace would produce a nonzero constant with zero trace on .
On a bounded connected Lipschitz domain ,for every . If this failed, the Rellich-Kondrachov compactness theorem would produce a normalized strong limit with zero gradient, hence a constant function; continuity of the Sobolev trace theorem would force that constant to vanish, contradicting its unit norm.
For a probability density function on a domain, a weighted Poincare inequality has the formThe optimal is the spectral gap of the associated weighted diffusion operator.
For and , integration by parts givesThis conjugates the weighted Dirichlet energy to a Schrödinger operator with effective potential .
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The Poincaré inequality is a fundamental result in mathematical analysis and partial differential equations. It provides a bound on the integral of a function in terms of the integral of its derivative.