The Rayleigh principle for a coercive variational problem #
Let B be a bounded coercive symmetric bilinear form on a real Hilbert space V and let
J : V →L[ℝ] H be a continuous linear map into a second real Hilbert space. When J is nonzero
and compact, the variational eigenvalues of the pair are the reciprocals of the nonzero
eigenvalues of the solution operator S = IsCoercive.formSolutionOperator, and the least
variational eigenvalue ‖S‖⁻¹ is the minimum of the Rayleigh quotient
B v v / ‖J v‖²,
taken over the v : V with J v ≠ 0. Without compactness, this file proves that ‖S‖⁻¹ is
still the largest constant C for which C ‖J v‖² ≤ B v v holds for every v : V, provided
J ≠ 0.
For the Dirichlet problem of a divergence-form elliptic operator, with V = H¹₀(Ω),
H = L²(Ω) and J the inclusion, this says that the first eigenvalue is the minimum of the
energy over the L²-unit sphere, and that it is exactly the optimal constant in the Poincaré
inequality C‖u‖²_{L²} ≤ a(u, u).
The two halves of the argument #
The lower bound ‖S‖⁻¹ ‖J v‖² ≤ B v v needs no compactness and no attainment. It comes from
Cauchy--Schwarz in the energy form: solving B w u = ⟪J v, J u⟫ for w gives
‖J v‖² = B w v and B w w = ⟪J v, S (J v)⟫ ≤ ‖S‖ ‖J v‖², and
(B w v)² ≤ B w w · B v v closes the loop. Coercivity supplies the solution operator through
Lax--Milgram and the nonnegativity of the diagonal, which is what makes the energy form obey
Cauchy--Schwarz; that inequality is LinearMap.BilinForm.apply_sq_le_of_symm, applied to the
continuous form's underlying bilinear form.
The attainment is where compactness enters: ‖S‖ is an eigenvalue of the compact symmetric
positive operator S (IsCoercive.exists_ne_zero_forall_apply_eq_inv_norm_smul_inner), and its
eigenfunction realizes the quotient. Without compactness the infimum can fail to be attained,
so the IsLeast statement carries IsCompactOperator J; the optimal-constant IsGreatest
statement does not require attainment.
Main declarations #
IsCoercive.norm_apply_sq_le_norm_formSolutionOperator_mul: the estimate‖J v‖² ≤ ‖S‖ B v v, andIsCoercive.inv_norm_formSolutionOperator_mul_norm_apply_sq_leits reciprocal form‖S‖⁻¹ ‖J v‖² ≤ B v v.IsCoercive.exists_ne_zero_forall_apply_eq_inv_norm_smul_inner:‖S‖⁻¹is a variational eigenvalue, the least one.IsCoercive.isLeast_rayleighQuotient: the Rayleigh principle,‖S‖⁻¹is the minimum of the Rayleigh quotient.IsCoercive.isGreatest_inv_norm_formSolutionOperator:‖S‖⁻¹is the optimal constant in the inequalityC ‖J v‖² ≤ B v v.
References #
L. C. Evans, Partial Differential Equations, Section 6.5.1, Theorem 2 (the variational principle for the principal eigenvalue); H. Brezis, Functional Analysis, Sobolev Spaces and Partial Differential Equations, Section 6.4.
The Rayleigh lower bound #
The energy form dominates the H-norm, with constant the norm of the solution
operator: ‖J v‖² ≤ ‖S‖ · B v v. This is Cauchy--Schwarz in the energy form, applied to v
and to the solution w of B w u = ⟪J v, J u⟫; no compactness of J is used.
The Rayleigh lower bound: ‖S‖⁻¹ ‖J v‖² ≤ B v v for every v : V. For the Dirichlet
problem this is the Poincaré inequality with the reciprocal solution-operator norm as its
constant. Beyond coercivity, only symmetry is needed: when S = 0 the left-hand side vanishes
and the bound is the nonnegativity of the energy.
The Rayleigh principle #
The Rayleigh principle: the least variational eigenvalue ‖S‖⁻¹ is the minimum of the
Rayleigh quotient B v v / ‖J v‖² over the vectors with J v ≠ 0. The minimum is attained at
an eigenfunction, which is why compactness of J is assumed.
The reciprocal solution-operator norm is the optimal constant in the inequality
C ‖J v‖² ≤ B v v: it satisfies the inequality, and no larger constant does. For the Dirichlet
problem this identifies the quantity defined as firstDirichletEigenvalue with the best Poincaré
constant. Unlike attainment of the Rayleigh minimum, this characterization does not require
compactness of J.