in this article, a novel dual-primal mixed formulation for second-order ell
iptic problems is proposed and analyzed. The Poisson model problem is consi
dered for simplicity. The method is a Petrov-Galerkin mixed formulation, wh
ich arises from the one-element formulation of the problem and uses trial f
unctions less regular than the test functions. Thus, the trial functions ne
ed not be continuous while the test functions must satisfy some regularity
constraint. Existence and uniqueness of the solution are proved by using th
e abstract theory of Nicolaides for generalized saddle-point problems. The
Helmholtz Decomposition Principle is used to prove the inf-sup conditions i
n both the continuous and the discrete cases. We propose a family of finite
elements valid for any order, which employs piecewise polynomials and Ravi
art-Thomas elements. We show how the method, with this particular choice of
the approximation spaces, is linked to the superposition principle, which
holds for linear problems and to the standard primal and dual formulations,
addressing how this can be employed for the solution of the final linear s
ystem. (C) 2001 John Wiley & Sons. Inc.