Set and extend the proposed vector by . For , the angle-addition identity gives
Hence the Toeplitz antisymmetric tridiagonal matrix has eigenvalues
The real sine vectors are eigenvectors of the real symmetric tridiagonal matrix with both off-diagonals one, with distinct eigenvalues ; thus they are orthogonal and form a basis. Multiplication by the unitary diagonal matrix preserves orthogonality. Their squared norms are , so multiplying by gives a common orthonormal basis for all , even when some eigenvalues coincide.
Let have superdiagonal one, subdiagonal minus one and diagonal zero. The prescribed endpoint values remove the exterior unknowns, and the scheme is
In the common orthonormal eigenbasis, the two eigenvalues are . Every eigenvalue of is nonzero for real , and the amplification matrix has eigenvalues
Thus is a unitary matrix and exactly. The same holds for the mesh-weighted norm. This matrix argument proves , without a Fourier stability calculation.
The printed mesh ratio has a consistency error: advection requires , while the PDF prints . Indeed the centered spatial difference is , so division of the scheme by gives leading right-hand coefficient . The printed choice makes this rather than one. The stability conclusion is valid for the algebraic scheme with either definition, but does not fix this inconsistency. The continuous first-order advection problem also ordinarily specifies only the inflow endpoint, here ; zero data at both endpoints restrict admissible initial data. For example the initially boundary-zero profile develops nonzero outflow before inflow changes reach that boundary. The matrix norm calculation concerns the stated two-endpoint discretization and does not establish well-posedness for arbitrary continuous initial data.
Let be the Toeplitz antisymmetric tridiagonal matrix with , , and zero diagonal. Fixed homogeneous endpoint values give the homogeneous update
The hint gives the eigenvalues
Because each is purely imaginary, for every real , so the left matrix is invertible. The two matrices are polynomials in and therefore have the same orthonormal eigenvectors. The amplification matrix
has eigenvalues
The numerator and denominator are complex conjugates, so . Moreover, the common orthonormal eigenbasis makes a normal matrix. By the matrix 2-norm of a normal matrix,
for every . Thus the Crank-Nicolson centered-advection scheme on a finite interval is unconditionally stable: