Variational characterisation of the principal eigenvalue #
EllipticPdes.Sobolev.solOp_spectral produces the Dirichlet eigenvalues from the spectral theorem
for the compact self-adjoint solution operator, one eigenvalue at a time and with no formula for
any of them. This file gives the first eigenvalue a formula: it is the infimum of the Rayleigh
quotient
λ₁ = inf { B[U, U] : U ∈ H₀¹(Ω), ‖U‖_{L²(Ω)} = 1 },
the infimum is attained, and a minimiser is a weak eigenfunction at that eigenvalue. Every weak
eigenvalue of B is at least λ₁, so the name is the theorem.
The proof is the direct method in the abstract setting. Coercivity bounds a minimising sequence in
H₀¹(Ω), EllipticPdes.Analysis.exists_weakLimit extracts a weak limit, and the Rellich compact
embedding embL2 Ω takes the constraint to that limit along a further subsequence. Weak lower
semicontinuity of the form is the expansion of 0 ≤ B[Uₖ - w, Uₖ - w] together with
B[Uₖ, w] → B[w, w], which needs symmetry and nothing else. The Euler-Lagrange step is a
one-variable argument: t ↦ B[U + tV, U + tV] - λ₁‖U + tV‖²_{L²} is a quadratic that vanishes at
t = 0 and is nonnegative everywhere, so its linear coefficient vanishes.
EllipticPdes.Embedding.exists_minimiser_of_lt runs the same method at a subcritical L^q
constraint, where the compactness comes from rellichEmbL_isCompact_of_lt. The two files differ in
which compact embedding does the work and in whether the constraint is quadratic; at q = 2 the
constraint is quadratic and the minimiser satisfies a linear equation, which is this file.
Main declarations #
EllipticPdes.Sobolev.principalEigenvalue: the infimum of the Rayleigh quotient.EllipticPdes.Sobolev.principalEigenvalue_mul_norm_sq_le:λ₁‖U‖²_{L²} ≤ B[U, U]for everyU, the Rayleigh quotient bound off the constraint set.EllipticPdes.Sobolev.exists_rayleigh_minimiser: the infimum is attained.EllipticPdes.Sobolev.rayleigh_euler_lagrange: a minimiser is a weak eigenfunction.EllipticPdes.Sobolev.exists_principal_eigenpair: the two previous statements combined.EllipticPdes.Sobolev.principalEigenvalue_le_of_weak_eigen: no weak eigenvalue is smaller.EllipticPdes.Sobolev.dirichlet_principal_eigenpair: the instance at-Δon a bounded measurable domain, with the compact embedding discharged byembL2_isCompact.
References #
L. C. Evans, Partial Differential Equations (2nd ed.), §6.5.1, Theorem 2; James Guo, Partial Differential Equations, Section IX.1.
The Rayleigh quotient and its infimum #
The unit L² sphere of H₀¹(Ω), the constraint set of the Rayleigh problem.
Equations
Instances For
The values a bilinear form takes on the unit L² sphere.
Equations
- EllipticPdes.Sobolev.rayleighValues B = (fun (U : ↥(EllipticPdes.Sobolev.H01 Ω)) => (B U) U) '' EllipticPdes.Sobolev.rayleighSphere Ω
Instances For
The constraint set is inhabited as soon as some element has a nonzero L² class: rescale.
Rayleigh bound off the constraint set: λ₁‖U‖²_{L²} ≤ B[U, U] for every U. On the
constraint set this is the definition of the infimum, and elsewhere it follows by rescaling.
Coercivity bounds the principal eigenvalue below by the coercivity constant: on the constraint
set 1 = ‖U‖_{L²} ≤ ‖U‖_{H₀¹}, so C ≤ C‖U‖² ≤ B[U, U].
The Euler-Lagrange equation #
Euler-Lagrange equation of the Rayleigh problem. A minimiser on the unit L² sphere is
a weak eigenfunction at the principal eigenvalue: B[U, V] = λ₁⟪U, V⟫_{L²} for every V.
The Rayleigh problem under a further constraint #
The values a form takes on the unit L² sphere inside a set S.
Equations
- EllipticPdes.Sobolev.rayleighValuesOn B S = (fun (U : ↥(EllipticPdes.Sobolev.H01 Ω)) => (B U) U) '' (EllipticPdes.Sobolev.rayleighSphere Ω ∩ S)
Instances For
The infimum of the Rayleigh quotient over the unit L² sphere inside S. Taking S to be
the vectors L²-orthogonal to the earlier eigenfunctions gives the later eigenvalues.
Equations
Instances For
Existence of a minimiser #
Attainment of the infimum of the Rayleigh quotient over a weakly closed set. Coercivity
bounds a minimising sequence, weak compactness supplies a limit, the constraint S passes to that
limit by hypothesis, and the Rellich compact embedding takes the unit L² norm to it.
Attainment of the infimum of the Rayleigh quotient. The unconstrained case.
Principal eigenpair. For a symmetric coercive form with the Rellich compact embedding
there is a U of unit L² norm attaining the infimum of the Rayleigh quotient, and it solves the
weak eigenvalue problem at that value.
Minimality of the principal eigenvalue. Any nonzero weak eigenfunction has eigenvalue
at least λ₁. Coercivity rules out a nonzero element with vanishing L² class, so the Rayleigh
bound applies.
The Dirichlet Laplacian on a bounded measurable domain #
Principal Dirichlet eigenvalue of -Δ on a bounded measurable domain, with the compact
embedding discharged by embL2_isCompact. The eigenvalue of -Δ itself is λ₁ - 1, since the
graph norm on H₀¹(Ω) includes the function coordinate: the identity below reads
∫ ∇u · ∇v = (λ₁ - 1) ∫ u v once ⟪U, V⟫_{H₀¹} is split off.
Poincaré inequality with its optimal constant. The principal Dirichlet eigenvalue is
the largest constant for which λ‖u‖²_{L²} ≤ ∫ |∇u|² on all of H₀¹(Ω), since
dirichlet_poincare_attained produces an equality case.
The optimal Poincaré constant is attained: some u of unit L² norm has Dirichlet energy
exactly λ₁.
The principal Dirichlet eigenvalue is positive.
Principal Dirichlet eigenpair on a bounded domain, with no abstract Poincaré
hypothesis: EllipticPdes.Poincare.laplaceBilin_coercive_of_bounded names the constant, so
boundedness and measurability of Ω are the whole input. This is the statement Evans makes, and
it includes the positivity of λ₁.