We prove a bilinear Carleson embedding theorem with matrix weight and scalar
measure. In the scalar case, this becomes exactly the well known weighted
bilinear Carleson embedding theorem. Although only allowing scalar Carleson
measures, it is to date the only extension to the bilinear setting of the
recent Carleson embedding theorem by Culiuc and Treil that features a matrix
Carleson measure and a matrix weight. It is well known that a Carleson
embedding theorem implies a Doob's maximal inequality and this holds true in
the matrix weighted setting with an appropriately defined maximal operator. It
is also known that a dimensional growth must occur in the Carleson embedding
theorem with matrix Carleson measure, even with trivial weight. We give a
definition of a maximal type function whose norm in the matrix weighted setting
does not grow with dimension.Comment: 15 pages, for proceeding