The λ-matrix A(λ) = (A 0 + λA 1 + λ 2 A 2 + · · · λ k A k · · · + λ l A l ) with matrix coefficients {A 0 , A 1 , A 2 . . . A } ∈ C m×n defines a linear dynamic system of dimension (m × n). When m = n, and when det(A(λ)) / = 0 for some values of λ, the eigenvalues of this system are welldefined. A one-parameter trajectory of such a system {A 0 (σ ), A 1 (σ ), A 2 (σ ) . . . A (σ )} is an isospectral flow if the eigenvalues and the dimensions of the associated eigenspaces are the same for all parameter values σ ∈ IR. This paper presents the most general form for isospectral flows of linear dynamic systems of orders ( = 2, 3, 4), and the forms for isospectral flows for even higher order systems are evident from the patterns emerging. Based on the definition of a class of coordinate transformations called structure-preserving transformations, the concept of isospectrality and the associated flows is seen to extend to cases where (m / = n).