The method of lines discretizes space in a time-dependent partial differential equation while leaving time continuous, producing a finite system of ordinary differential equations.
For periodic indexing let be the unitary forward shift. The operator is . A discrete Fourier transform diagonalizes it with eigenvalue and real part . Consequently for every , uniformly in the grid. Equivalently , proving decay of the discrete energy directly. The result is semidiscrete stability; a further time discretization must also have adequate absolute stability.
For homogeneous Dirichlet endpoints, the centered first-difference matrix is skew-Hermitian and the centered second-difference matrix is negative definite. Thus is contractive in the discrete L2 norm for every real and every mesh width. The displayed identity follows by summation by parts. Nonnegative off-diagonal entries additionally require ; that maximum-principle condition is not necessary for the L2 energy estimate. numerical consistency and Duhamel's formula then give second-order numerical convergence for smooth solutions and compatible initial approximations.
Let be a symmetric nonnegative matrix and consider with fixed real . In any inner product for which is self-adjoint, diagonalization of a matrix gives
Indeed each modal coefficient is either a cosine and sine divided by its frequency, a linear function at zero frequency, or a hyperbolic cosine and sine divided by its growth rate. The bounds , , and prove the estimate. It is uniform in the spectrum of and therefore gives finite-time displacement stability. Uniform velocity estimates need additional control of the initial spatial energy. All-time displacement bounds require a strictly positive lower bound for , a different condition.
For with symmetric positive definite , all-data displacement is bounded for all time on a fixed grid exactly when . Diagonalization of a matrix reduces this assertion to oscillators. At equality, an initial velocity in a zero-frequency mode produces linear growth; above it a growing hyperbolic mode is available. A lower bound on uniform in the mesh gives a uniform displacement estimate. This all-time statement is stronger than displacement stability of a symmetric semidiscrete wave equation on fixed finite time intervals.
If a spatial method of lines has a Hermitian matrix , its generator is a skew-Hermitian matrix. The matrix exponential is a unitary matrix, so it preserves the Euclidean norm and any constant-volume discrete L2 norm. Equivalently, differentiating the squared norm gives . A real sampled potential preserves the Hermitian property of a symmetric discrete Laplacian. Subsequent time discretization must be assessed separately.

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The Method of Lines (MOL) is a numerical technique used to solve partial differential equations (PDEs) by converting them into a set of ordinary differential equations (ODEs). This method is particularly useful for problems that involve time-dependent processes or spatial variables. ### Steps in the Method of Lines: 1. **Spatial Discretization**: - The first step involves discretizing the spatial domain. This is done by dividing the spatial variables into a grid or mesh.