203 questions · 22 question types identified
Questions requiring the student to first compute the inverse of a 3×3 matrix (possibly in terms of a parameter) and then use it to solve a system of three linear equations.
Questions asking to find the rank of a matrix and/or a basis for its null space (kernel).
Questions asking to find parameter values for which a 3×3 system has (or does not have) a unique solution, typically using determinant conditions.
Questions requiring interpretation of the solution set of a 3×3 system as planes in 3D space (intersection point, sheaf, prism, or no solution).
Questions asking to find the determinant of a 3×3 matrix, often in terms of a parameter, and/or determine values making the matrix singular.
Questions asking for the general solution of a system (often underdetermined) expressed in parametric form with free variables.
Questions where a matrix equation like AB = C or similar must be solved to find unknown matrices or parameters.
Questions where a matrix represents a geometric transformation and you must find the image or pre-image of lines, planes, or points.
Questions requiring finding matrices P and diagonal D such that A = PDP⁻¹, often to compute Aⁿ or expressions like (A-2I)³.
Questions requiring calculation of the inverse of a 3×3 matrix, either numerically or in terms of a parameter.
Questions asking to find eigenvalues and corresponding eigenvectors of a 3×3 matrix.
Questions asking to find the dimension and/or a basis for the range space (column space) of a linear transformation.
Questions asking to find parameter values for which an inconsistent-looking system becomes consistent (has solutions).
Questions asking to verify or show specific matrix properties like (AB)^T = B^T A^T, orthogonality, or given inverse relationships.
Questions involving the relationship between determinants and volume or area scale factors of transformations.
Questions where the inverse matrix is either given, computed from a product AB, or derived, and then used directly to solve a 3×3 linear system.
Questions where eigenvalues and eigenvectors are given and the student must reconstruct the original matrix A (and possibly compute Aⁿ).
Questions asking whether given vectors are linearly independent or form a basis for a vector space.
Questions involving the characteristic equation of a matrix and using the Cayley-Hamilton theorem to find matrix expressions.
Questions specifically asking to find normalised (unit) eigenvectors corresponding to given eigenvalues.
Questions specifically asking to find the adjugate (adjoint) matrix of a 3×3 matrix.
Questions involving matrix transpose operations, finding A^T, or verifying transpose identities.