Linear conditions for positive determinants

Abstract Weakest linear conditions on the rows of a square matrix of arbitrary dimension to ensure that its determinant is positive are described and analyzed. In addition to strict diagonal dominance by rows with positive diagonal elements, we find a new weakest set of conditions: the row mean being positive and larger than all the off-diagonal entries in that row. A complete classification is provided for 3×3 matrices.