It is shown in infinite-dimensional Gaussian problems that affine esti
mators minimax the variance among all estimators of a linear functiona
l subject to a constraint on the bias. Likewise, affine estimators als
o minimax the square of the bias among all estimates of a linear funct
ional subject to a constraint on the variance.