Along bounded density tilts, this functional has derivative . At a bounded baseline density its canonical gradient, relative to these regular paths, is . A common local bound on nearby densities suffices to obtain the same derivative along arbitrary differentiable-in-quadratic-mean paths in that bounded neighborhood. A bounded baseline alone is insufficient, because of the spike obstruction to density-power differentiability.
For the bounded density tilt , differentiate the polynomial in :
Since every score function is centered, the centered representer is
A bounded baseline makes this a bounded mean-zero function, hence an element of . Thus it is the efficient influence function for the density fourth-power functional relative to the regular bounded density tilts. Its squared L2 norm is .
A bounded baseline alone does not make this functional differentiable along every quadratic-mean differentiable path. The derivative above is the intended regular-path answer. To see the need for the qualification, let and put on , extended by zero outside. For , define
Each is a nonnegative continuous probability density function, because its narrow bump has mass . Moreover,
It is therefore a differentiable-in-quadratic-mean path with zero score function. Yet
The density fourth-power functional is not even continuous along this statistical path, although every is individually bounded. Consequently no efficient influence function represents derivatives over the unrestricted class of all such paths.
One sufficient additional condition is a common bound for all small . Taylor expansion then bounds the fourth-power remainder by , while
Together with the quadratic-mean to L1 density derivative, this gives . Under this local bound, or when the chosen statistical paths are the bounded density tilts, the boxed canonical gradient is fully justified. The counterexample is a spike obstruction to density-power differentiability.