Faculty use

Linear Systems and Eigenmode Solutions

Reward correct mathematics, explicit units, conditions, and hypotheses, interpretation, and verification. Equivalent valid reasoning should receive credit.

Problem 1

x₁=C₁e^{−t}, x₂=C₂e^{2t}.

Problem 2

All real parts negative implies asymptotic stability for a constant linear system.

Problem 3

Definitions should identify the equation type, dependent and independent variables, parameters, conditions, units or domain, and the hypotheses behind solving x′=Ax with eigenpairs. Use the formulas Av=λv ⇒ x=e^{λt}v; superpose independent modes.

Problem 4

A strong error analysis identifies the first step that violates classification, algebra, theorem hypotheses, units, initial/boundary data, or numerical assumptions; then repairs that step and re-verifies the final result.

Problem 5

Application responses vary. Require defined variables, a compatible differential-equation model connected to coupled oscillators, compartment models, circuits, chemical networks, control, and mechanical systems, a complete computation, interpretation, and limitations.

Problem 6

Accept two independent checks appropriate to the task: differentiation/substitution, initial or boundary conditions, dimensional analysis, phase-line or stability evidence, residuals, step refinement, conservation/energy checks, data comparison, or a second method.

Scoring guidance

Six problems × 10 points: 5 mathematical accuracy, 2 structure/justification, 2 verification/interpretation, 1 notation and communication.

β Beta Program