Problem 1
x₁(t)=c₁e^{−t}, x₂(t)=c₂e^{2t}.
Faculty use
Reward correct mathematics, explicit dimensions/hypotheses, interpretation, and verification. Equivalent valid reasoning should receive credit.
x₁(t)=c₁e^{−t}, x₂(t)=c₂e^{2t}.
Negative real parts decay; positive real parts grow; imaginary parts generate oscillation.
Definitions should identify the vector/matrix/space/transformation, dimensions or domain/codomain, and the hypotheses behind solving linear dynamical systems through spectral or numerical structure. Use the formulas x′=Ax; x(t)=e^{At}x(0).
A strong error analysis identifies the first step that violates a definition, dimension, theorem hypothesis, or matrix-operation rule; then repairs that step and re-verifies the final result.
Application responses vary. Require defined variables, a compatible matrix/vector model connected to population movement, networks, computer graphics, communications, search, recommendation, and dynamic systems, a complete computation, interpretation, and limitations.
Accept two independent checks appropriate to the task: reconstruction, residual, RREF comparison, determinant/rank test, orthogonality, substitution, eigenpair check Av=λv, factorization product, or a second method.
Six problems × 10 points: 5 mathematical accuracy, 2 structure/justification, 2 verification/interpretation, 1 notation and communication.