On a bounded Lipschitz domain, the Sobolev trace operator is the continuous linear extension to of the boundary restriction of smooth functions. Continuity and density make this extension unique; its existence is the Sobolev trace theorem. The kernel prescribes a homogeneous Dirichlet boundary condition. Vanishing Sobolev trace on only part of the boundary instead gives the form domain for a mixed boundary condition, with the natural Neumann boundary condition on the remainder. On an assembly of congruent tiles, taking a Sobolev trace commutes with a constant matrix acting on the tile restrictions. This lets a transplantation theorem be proved on quadratic form domains even when corner eigenfunctions have singular classical derivatives.
This theorem describes the continuous extension of the Trace operator. For , restriction to the coordinate hyperplane extends uniquely to a bounded linear mapIn Fourier variables, Cauchy--Schwarz bounds the integral over the normal frequency because is integrable exactly when .
On a bounded smooth domain, the Sobolev trace theorem can be strengthened toFor smooth , extend the outward unit normal to a smooth vector field near the closure of with on its boundary. The divergence theorem gives , and the Cauchy-Schwarz inequality gives the estimate. Density extends it to . A bound containing only the product is false for nonzero constant functions. Equivalently, for every , the Young inequality gives .
For , boundary restriction on smooth functions extends uniquely to a bounded linear map . The estimate follows by applying the fundamental theorem of calculus on normal line segments and then integrating over the boundary variables.
For , no bounded map from to can agree with restriction on continuous functions. Indeed,has a fixed nonzero trace while .
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In mathematics, particularly in the field of linear algebra and functional analysis, the trace operator is a function that assigns a single number to a square matrix (or more generally, to a linear operator). The trace of a matrix is defined as the sum of its diagonal elements.