On with a homogeneous wall condition, positive diffusion and growth , remove constant drift by . The scale reduces the eigenvalue problem to the Airy ordinary differential equation. Decay selects , where enforces the wall. The least negative zero sets the global instability threshold . A locally absolutely unstable pocket can therefore exist without an unstable global mode.
For positive diffusivity , a diffusion equation with potential-driven drift has diffusive flux . On a finite interval with zero flux at both endpoints, the total amount is conserved. The substitution converts the decay eigenvalue problem to the Sturm-Liouville problem
The Rayleigh quotient is . Its zero eigenfunction is constant, giving the stationary solution . This is a spatial Boltzmann distribution; changes relaxation rates but cancels out of the zero-flux equilibrium profile. For a sufficiently regular positive and bounded , the constant eigenfunction is the unique zero mode up to scale.
Eigenvalue Created 2026-09-24 Updated 2026-10-14
A scalar is an eigenvalue of a linear operator when
for some nonzero vector , called an eigenvector. The scalar must belong to the field over which is a vector space. Geometrically, a real eigenvalue tells us what does along a special line: every vector on that line is multiplied by the same number. The eigenvector gives the line and the eigenvalue gives its scaling.
For a real eigenvalue, preserves the orientation along the line, reverses it, and collapses the line to zero. The length is multiplied by the modulus , so stretches and contracts. For example, the diagonal matrix doubles one coordinate direction, reverses and halves another, and annihilates the third. Its eigenvalues are ; the last direction lies in its kernel.
For a finite square matrix, the eigenvalues are the roots of a polynomial , its characteristic polynomial:
Here is the identity matrix. The reason is that means with : the shifted matrix must have a nontrivial kernel, equivalently a zero determinant. The worked symmetric matrix example in eigenvector shows both stages: find the eigenvalues, then find their eigenspaces.
Eigenvalues are especially useful for repeated application of a linear map. If , then
One multiplication proves the next step, so a matrix power becomes an ordinary power on each eigenvector. This explains growth, decay, and alternating signs along these directions. Gilbert Strang develops this connection, and its extension to the matrix exponential, in his lecture "Eigenvalues and Eigenvectors" (MIT 18.065, 2018).[ref]
A documented historical connection is C. G. J. Jacobi's "Über ein leichtes Verfahren die in der Theorie der Säcularstörungen vorkommenden Gleichungen numerisch aufzulösen" (1846, Journal für die reine und angewandte Mathematik 30, pp. 51–94). Its opening discusses symmetric matrices arising from small oscillations, with a common unknown subtracted from every diagonal entry. In modern notation this is ; Jacobi seeks the parameter and the ratios of the components of . This is evidence of an early physical and computational setting for the eigenvalue problem, without assigning its discovery to a single person.[ref][ref]
The Euler-Lagrange equations of the quadratic Lagrangian are
The mechanical mass matrix is the identity. A normal mode therefore satisfies the eigenvalue problem . Direct multiplication gives
These are normal modes of two spring-coupled equal pendulums. The corresponding normal mode coordinates and obey and .
For the in-phase normal mode, the bobs undergo identical displacements, leaving their separation exactly . The spring stays at its natural length and exerts no force, so this angular frequency is independent of . The value is the individual simple pendulum angular frequency in the chosen units.
The equations are an eigenvalue problem for the matrix
A nonzero solution requires . Expanding gives
Row reduction gives the complete eigenspaces:
For the solutions form the plane through the origin; for they form a line through the origin. Exclude the zero vector when requiring a nontrivial solution. The repeated eigenvalue has a two-dimensional eigenspace; there are three independent eigenvectors in total. This matrix is not symmetric, so its different eigenspaces need not be mutually orthogonal.
Write the perturbation Stokes streamfunction as , with and nonzero . Its radial and axial velocity amplitudes are and . These automatically obey incompressibility. Linearizing the radial and axial Euler equations, with pressure amplitude , gives
Thus
Differentiating the first expression, the terms involving cancel. Equating the two expressions for proves the axisymmetric inviscid pipe stability equation:
At the axis, finite smooth axisymmetric velocity requires , after choosing the irrelevant constant in the streamfunction. At the wall, impermeability gives . There is no tangential no-slip condition in this inviscid problem. A decoupled azimuthal disturbance satisfies and does not introduce a growing discrete mode when .
For real , suppose with , so division by is legitimate. Multiply the ordinary differential equation by , integrate, and apply integration by parts. The endpoint terms vanish by the preceding regularity and wall conditions, leaving
Taking its imaginary part yields
A growing temporal mode therefore requires a sign change of , rather than a sign change of alone. This is the cylindrical counterpart of Rayleigh's inflection-point theorem. If this derivative vanishes identically, the positive first integral rules out a nontrivial growing real-wavenumber mode as well. Isolated zeros without a sign change do not make the second integral vanish for a nonzero regular mode.
For the parabolic Poiseuille flow, is constant. Under the specified exclusion of critical levels, division gives
Setting , or equivalently choosing in , turns this into
It is the Modified Bessel differential equation of order one. Hence . Since tends to a nonzero constant at the axis, it gives a singular radial velocity and must be excluded. The admissible mode shape is therefore
For , direct solution gives after axis regularity, and the wall condition again forces the trivial solution. For nonzero , the nonzero roots of are imaginary. Writing for the zeros of the ordinary Bessel function , the evanescent potential modes of inviscid Poiseuille flow are
Their perturbation vorticity vanishes: . These modes grow exponentially in one axial direction and decay in the other. They can describe end-forced or spatially localized potential fields, but neither sign gives a bounded normal mode on a whole infinite pipe. Moreover, the reduced radial equation contains no : it supplies no temporal eigenvalue condition. An arbitrary imaginary part assigned to here is consequently not evidence for a physical temporal instability.
The real-wavenumber calculation does exclude growing discrete axisymmetric modes of this inviscid profile. It does not establish every form of stability: singular neutral disturbances with in the range of , transient dynamics, non-axisymmetric disturbances, and finite-amplitude transition require separate treatment. The exclusion specifically removes the inviscid continuous spectrum.
With viscosity, linearize the Navier-Stokes equations instead and eliminate pressure to obtain a fourth-order cylindrical counterpart of the Orr-Sommerfeld equation. Impose both and , with appropriate regularity at the axis. The resulting eigenvalue problem involves the Reynolds number and determines complex frequencies, rather than leaving arbitrary. Viscosity supplies diffusion, no-slip boundary layers and critical-layer regularization, so the inviscid sign argument alone no longer decides its spectrum. That observation does not imply that viscous pipe flow must have a growing linear eigenmode; finite-amplitude pipe transition is a different question.
Assume again positive diffusion . Remove the drift with . Differentiating explicitly cancels the first derivative and gives
Balance the second derivative with the linear confinement by taking , so the requested exponent is . More precisely, put
The eigenvalue problem reduces to . Its two solutions are Airy functions. The growing is excluded by the condition at infinity: its growth proportional to dominates any linear-in- drift factor. The decaying remains admissible even after multiplication by . The wall imposes , so , giving the Airy global modes of a linearly confined Ginzburg-Landau equation:
The least negative zero, , gives the largest temporal growth rate. Hence
At equality the leading global eigenmode is neutral, and below it all these eigenmodes decay. In contrast, freezing the coefficients locally gives absolute hydrodynamic instability wherever . Such a pocket exists iff and extends to . Thus global instability implies a locally absolutely unstable pocket, while the converse fails: a pocket shorter than does not overcome the wall and confinement losses. The additional threshold is order , precisely the loss produced by the Airy function spatial scale.
For a periodic potential, the Hamiltonian commutes with every lattice translation. The three primitive translations are commuting unitary operators, so within each energy eigenspace one can choose simultaneous translation eigenstates. Their eigenvalues have modulus one and can be written . Translation by any lattice vector then gives
This proves Bloch's theorem in its eigenbasis form; arbitrary superpositions inside a degenerate eigenspace need not themselves have a single Bloch wavevector.
The reciprocal lattice consists of vectors with . Changing to and to gives the same physical wavefunction with a periodic new . The eigenvalue problem on one cell has a discrete set of levels, giving bands indexed by , and this equivalence yields . A reciprocal-lattice fundamental domain, conventionally a Brillouin zone, therefore labels inequivalent wavevectors.
Periodic boundary conditions in physical volume give one allowed wavevector per reciprocal-space volume . Including the two spin states, there are states; per unit physical volume the count is the printed . Each occupied state carries charge and velocity , so
For a full band, the integral of is a boundary integral. Opposite faces of a reciprocal fundamental cell have equal energies by periodicity and opposite normals, so their contributions cancel. Hence a full band carries zero electric current.
Write for the constant isothermal sound speed squared and for the constant Alfvén speed squared. The horizontal magnetic field has no vertical magnetic tension; magnetostatic equilibrium is
Consequently the magnetized isothermal atmosphere has
The sign of specifies the orientation of the magnetic field. The adiabatic sound speed is , also constant.
For the proposed normal mode, let , , and temporarily write for its constant complex amplitude. The divergence amplitude is . Using and , the Eulerian and Lagrangian fluid perturbations give
Since , the magnetohydrodynamic total pressure amplitude is
The vertical derivative of is . For the magnetic tension perturbation, the terms proportional to from and cancel, leaving
Thus the linearization really reduces to the constant-coefficient eigenvalue problem
For a static ideal magnetohydrodynamics equilibrium with conservative gravitational acceleration, the magnetohydrodynamic energy principle gives a Hermitian operator for the restoring force in the mass density weighted inner product, provided the surface terms vanish. The factor removes the exponential mass density weight. This can be checked directly, without assuming stability: set , , and . Then , where
This is a Hermitian matrix for real and real positive . Therefore every squared frequency is real; negative values give exponential growth, rather than an oscillation with a complex squared frequency. In an infinite atmosphere these are generalized plane waves, not finite-total-energy global modes.
At and , the equation, after cancelling its magnetic terms, gives . For nonzero magnetic field, the equation also gives . Substituting and then yields
For a nontrivial mode ; otherwise these equations and force every component to vanish. Substitution in the vertical equation gives
For example, the determinant provides an independent check:
To prove the claimed “if and only if”, rather than merely locating a zero eigenvalue, use the magnetic buoyancy energy criterion
If , every term is nonnegative, so all eigenvalues are nonnegative for every wavevector, including . If , choose , any fixed , and , , . The first two squares vanish; the remaining value is
which is negative for sufficiently small nonzero . The Rayleigh quotient of this displacement is therefore negative, proving a negative eigenvalue and an unstable normal mode. This uses precisely the assumption that boundary conditions do not exclude the chosen wavelengths. Equality is a neutral threshold, not exponential growth.
Finally the plasma beta is . Hence
The magnetic field is assumed nonzero in the marginal-mode elimination and in the finite expression. The positive-sound-speed, nonmagnetic limit remains covered by the energy identity; for the usual it is stable. Parker instability occurs because magnetic pressure supports part of the atmosphere's weight while the gas can drain along gently bent magnetic field lines. The resulting buoyant displacement can release Newtonian gravitational potential energy; choosing long wavelengths along the magnetic field makes the stabilizing magnetic tension small. The completed-square calculation quantifies this competition, including the adiabatic process restoring force.
General definitions. The Euler-Lagrange equation gives . Write and . A normal mode has fixed displacement pattern and common time factor, ; its normal frequency satisfies
Here is angular frequency. A normal coordinate is the coefficient of one pattern in a complete modal expansion, so these coordinates decouple the equations. Since is positive definite, the change turns the mode equation into the ordinary symmetric eigenvalue problem for .
Three-mass equations. Let be horizontal displacements from the unstretched equilibrium, ordered left to right. The kinetic energy and potential energy are
Differentiating the potential energy gives
Thus and
Frequencies and patterns. Put . Expansion of the generalized eigenvalue problem for small oscillations gives
Solving at each root gives
The zero normal mode is uniform translation. In the lower nonzero mode, the central mass stays fixed, the two end masses move oppositely, and their unequal displacements balance both the end-mass momenta and the forces on the central mass. In the upper mode the end masses move together and the centre oppositely. Both vibrating modes leave the centre of mass fixed.
Orthogonality. Because is symmetric, two mode equations imply
Distinct eigenvalues therefore give the mass-matrix orthogonality of normal modes:
The Euclidean dot product need not vanish for unequal masses; for example , while . The modal squared norms are .
Figure 1.
The three normal modes of the unequal free mass chain
. Masses from left to right are m, 2m and 3m, joined by springs k and 3k. Arrow lengths show the modal amplitude ratios (1,1,1), (-3,0,1), and (1,-2,1). Details.
Normal coordinates. Expand . Project using the mass-weighted inner product and divide by each modal norm to obtain
For example, the inverse equations are , , . They reduce the energies to
and hence
The first coordinate is the centre of mass and has free linear motion. Multiplying by respectively gives mass-normalized normal coordinates if desired.
Multiplication by puts the eigenvalue problem into Sturm-Liouville form, , with weight . If correspond to distinct eigenvalues , subtract their multiplied equations and integrate to get
The upper boundary term vanishes by the Dirichlet boundary condition. For a bounded solution near zero, has a limit because is integrable. A nonzero limit would force a divergence in , so that limit is zero; integration then gives . The lower boundary term therefore also vanishes, proving the weighted orthogonality.
Set . For , , and finiteness of gives . Thus with zero values at zero and . The radial Dirichlet spectrum in three dimensions gives
The zero and negative eigenvalues yield only the zero solution under these boundary conditions. Also .
For the forced equation, the same substitution gives . The Fourier sine series of on has coefficients
Expanding gives , hence
The value at zero is defined by a limit. In fact , so uniform convergence holds even there, by comparison with . An independent check comes from solving the constant-coefficient equation directly:
It satisfies both endpoint conditions and the forcing for , and its finite origin limit agrees with the series. For the homogeneous boundary value problem has no nonzero solution, so the solution is unique.
For a spherically symmetric number density, the radial Laplacian is . Applying separation of variables and choosing the separation constant gives
so the ordinary differential equations are
The radial problem is an eigenvalue problem for with Dirichlet boundary conditions, hence : multiplying the radial equation by and integrating gives for a nonzero regular mode vanishing at .
To solve it explicitly, set , corresponding to the suggested power . The equation reduces to , so
Finiteness at the origin forces , and the Dirichlet boundary condition at requires for an integer . The absence of interior zeros excludes , selecting the fundamental normal mode. If denotes the initial central density, the result is
where the sine ratio is defined as at the origin. It is strictly positive in the interior for every finite time. The arbitrary positive scale cannot be fixed without additional initial data.
The spatial factor is time independent, so the density and the total neutron population have the same exponential growth rate. Thus the spherical reaction-diffusion growth threshold is
At equality the fundamental mode is stationary; below it the mode decays. For fixed , the equivalent critical-radius condition is . This is the competition between multiplication in the bulk and diffusion loss at the surface in the stated dimensionless model.
The conditions of regularity at and select the radial vibrations of a circular membrane as an eigenvalue problem. Multiply by and integrate. Integration by parts gives
The boundary term vanishes by regularity and . For a nonzero eigenfunction the denominator is positive; the numerator could vanish only for a constant function, and the outer condition would then make that function zero. Consequently
This also proves reality without presuming real-valued eigenfunctions. Explicitly, regular solutions are Bessel functions of the first kind , and the positive zeros of give the discrete spectrum.
In logarithmic coordinates the eigenvalue problem becomes . A nonzero function with zero values at both ends requires : multiplying by and integrating gives . Write . The first endpoint gives , and the second requires , .
For vector normalization, . A positive real normalization constant therefore gives
The sine orthogonality identity also gives . Completeness is the usual completeness of the Fourier sine series on under the logarithmic coordinate transformation.
The kinetic energy is . Differentiating the quadratic potential energy gives the equations for small oscillations,
Put and . The eigenvalue problem is . Its characteristic polynomial is
Thus a convenient set of normal modes is
Each shape can be multiplied by an arbitrary sinusoidal time amplitude. In the lowest mode all beads move in phase. In the middle mode the central bead is fixed and the outer beads move oppositely. In the highest mode the two outer beads move together against the centre. These vectors are mutually orthogonal and span the three displacement coordinates.
Figure 1.
The three transverse string modes; the dashed line is equilibrium and bead displacements share one arbitrary scale
. Details.
These are the three-mass case of the normal modes of a uniformly loaded finite string, with discrete sine shapes . The sketches use straight string segments between masses and fixed zero displacements at the walls. The small-slope and constant-tension assumptions justify the quadratic energy and linear equations.
Remove the first spatial derivative by the Dirichlet gauge transform for constant drift:
The nonzero exponential factor preserves the zero side and top values; it also preserves on the bottom. A separated product has the spatial eigenvalue problems
The nontrivial solutions are for and for . There is no zero spatial mode in either direction. The temporal equation gives , where
Therefore the mixed-boundary drift-diffusion eigenmodes on a rectangle give
At the temporal factors are one, giving the required expansion. The sine and mixed-end cosine bases are complete and orthogonal for . In particular,
The factor four comes from the product of the two squared basis norms, each .
A single-valued potential must be -periodic in . For a separated solution , the Laplace equation in polar coordinates becomes
The periodic angular eigenvalue problem has , : its nonconstant eigenfunctions are . Negative gives exponentials that cannot be periodic, and gives only a constant angular factor. For , the radial Cauchy-Euler equation gives . At the two radial solutions are and . Superposition therefore gives
The expansion is interpreted on an annulus where the harmonic function is defined; particular boundary conditions determine its constants and convergence region. Single-valuedness is essential: allowing a cut in the angular domain would also permit nonperiodic angular solutions.
Substitution into the diffusive flux gives
The continuity equation for this drift-diffusion equation with a potential therefore reduces, after cancelling the nonzero exponential, to
The reflecting boundary conditions become at both endpoints. Thus each solution of this eigenvalue problem supplies a separated solution of the original diffusion equation.
The product rule makes the drift term cancel:
Consequently the transformed eigenvalue problem is
Both and the weight are positive, as required for this Sturm-Liouville problem.
With , write and . The Backward Euler method requires
or the monic quintic polynomial equation
Construct its companion matrix
Its characteristic polynomial is . Thus the polynomial roots needed for this update are exactly the eigenvalues of .
At each step, assemble , compute its eigenvalues, for example with the QR algorithm, and choose its unique positive real eigenvalue as . To justify this selection, let
If , then , , and
The intermediate value theorem and strict monotonicity prove there is exactly one positive polynomial root, located in . Starting at therefore makes every update well defined, positive and decreasing. In numerical arithmetic, select the nearly real eigenvalue in this interval and check the polynomial residual ; a final Newton root-finding iteration can refine it. This reduces each update to the requested eigenvalue problem.