Constrained Lebedev–Milin Inequality
- The constrained Lebedev–Milin inequality sharpens classical estimates by imposing vanishing-moment or center-of-mass constraints to lower the optimal constant in logarithmic embeddings.
- On the circle, the method yields explicit constants like 1/[4(m+1)] through a combination of Toeplitz determinants, Fourier analysis, and variational techniques.
- Extensions to the sphere and univalent function theory demonstrate applications in Sobolev trace inequalities, coercivity estimates, and phase transition models.
The constrained Lebedev–Milin inequality is a family of sharp logarithmic-exponential estimates obtained by supplementing the classical Lebedev–Milin inequality with vanishing-moment, center-of-mass, or weighted-coefficient constraints. In its circle form, the constraint that the first moments of the exponential measure vanish lowers the optimal constant from $1/4$ to $1/[4(m+1)]$. On the sphere , an analogous sharp inequality controls the quadratic mass-moment with threshold . Related formulations occur in the theory of logarithmic coefficients of univalent functions, in sharp Sobolev trace inequalities, and in coercivity estimates for mean-field free energies (Chang et al., 2019, Chang et al., 2021, Ponnusamy et al., 2019, Case et al., 2018, Mun et al., 17 Apr 2026).
1. Circle formulation and higher-moment constraints
Let be the unit disk, , and let satisfy 0. The classical sharp Lebedev–Milin estimate states that
1
where the 2-norm is understood as the Dirichlet energy. Equality is attained exactly on the one-parameter family
3
whose boundary trace has zero mean and saturates the inequality (Chang et al., 2019).
For each integer 4, Chang–Hang introduce the constraint space
5
Equivalently, if 6, then 7 and the first 8 complex moments of the exponential measure 9 vanish. Their theorem states that for every integer $1/4$0 and every $1/4$1,
$1/4$2
In boundary Fourier form,
$1/4$3
whenever $1/4$4 and $1/4$5 for $1/4$6 (Chang et al., 2019).
The first cases are explicit. The case $1/4$7 gives the classical constant $1/4$8; $1/4$9 yields $1/[4(m+1)]$0, previously obtained by Osgood–Phillips–Sarnak; $1/[4(m+1)]$1 yields $1/[4(m+1)]$2. In this normalization the constants step down as
$1/[4(m+1)]$3
Thus the effect of the constraint is an explicit improvement of the energy-to-exponential-moment embedding when additional low-frequency moments of the exponential measure are removed (Chang et al., 2019).
2. Sharpness, equality, and proof mechanisms on $1/[4(m+1)]$4
The circle theory combines Toeplitz-determinant arguments, variational analysis, and Fourier expansion. In the Toeplitz-determinant approach, one considers the determinant whose symbol is $1/[4(m+1)]$5. Imposing the vanishing of the first $1/[4(m+1)]$6 moments forces the Szegő limit theorem to gain a factor $1/[4(m+1)]$7 in the exponent, which is the analytic origin of the improved constant (Chang et al., 2019).
The variational approach fixes $1/[4(m+1)]$8 and studies
$1/[4(m+1)]$9
on 0. For 1, one shows 2 by a compactness argument; at the critical value 3, the infimum is zero and is attained only by the trivial 4 in the constrained class. The Euler–Lagrange equation becomes a harmonic-extension problem in 5 with boundary condition
6
Using the orthogonality 7 and a careful Fourier expansion, all Lagrange multipliers 8 are shown to vanish. The remaining ODE admits only the classical one-pole solutions
9
which violate the vanishing-moment conditions unless 0, so 1 is constant (Chang et al., 2019).
A closely related exact statement appears in the periodic formulation on
2
If 3 is real-valued, 4 is its Poisson–harmonic extension to the unit disk, and
5
then
6
Here the constant 7 is sharp, and equality holds if and only if 8 is a trigonometric polynomial of degree at most 9, equivalently a translate of the Fejér–Rogosinski extremizer (Mun et al., 17 Apr 2026).
3. Sphere analogue and the center-of-mass term
On the round sphere 0 with normalized area form 1, Chang–Gui define
2
and for 3,
4
Their constrained Lebedev–Milin inequality asserts that the sharp threshold is
5
Precisely, for every 6,
7
equivalently,
8
while for any 9 one can find 0 with 1 (Chang et al., 2021).
In the special case 2, the inequality reduces to the mass-centered Aubin–Onofri setting. The circle relation is explicit in the source: Chang–Gui’s theorem is in exact analogy to Szegő’s second inequality on 3, with the center-of-mass deviation replacing the first Fourier moment. The sphere statement therefore quantifies how a nonzero center of mass degrades the Onofri bound, while preserving sharpness (Chang et al., 2021).
The proof is variational. One studies critical points under the two constraints
4
which produce the Euler–Lagrange system
5
A Kazdan–Warner identity forces 6 unless 7. At 8, stereographic projection reduces the problem to a Liouville equation in 9 with an explicit radially symmetric solution, and one proves that the infimum of 0 on all of 1 is zero for 2 and is unattained below that threshold (Chang et al., 2021).
Equality is attained exactly by the family of conformal factors arising from Möbius automorphisms of 3. In stereographic coordinates one may write the unique critical solution with center-of-mass 4 as
5
The zero-mode and first-harmonic spherical harmonics form the kernel of the linearized second variation at these critical points (Chang et al., 2021).
4. Cubature, spherical designs, and near-extremals
A structural feature of the constrained inequalities is that the improved constant is governed by finite moment-annihilating configurations. On 6, if one imposes vanishing of all area-moments up to degree 7, the optimal constant becomes 8, where 9 is the minimal size of a positive-weight cubature of degree 0 on 1. In the circle case one has
2
which recovers the factor 3 (Chang et al., 2019).
The circle moment condition may also be written polynomially. Let 4 be the unit disk, 5, 6 the real polynomials on 7 of total degree 8, and
9
If 00, 01 is an extension of 02, and
03
then
04
and the sharp constant is 05 (Chen et al., 2021).
The sharpness mechanism is a bubble construction indexed by a design. One chooses 06 nodes 07 and positive weights 08 with 09 such that
10
Local bubbles are then placed in disjoint conic neighborhoods: 11 and glued by cutoffs into a global test function
12
For its trace 13, the moment constraints are exact, and the asymptotics are
14
Hence
15
so no smaller constant can hold (Chen et al., 2021).
5. Weighted Milin inequalities for logarithmic coefficients
The phrase “constrained Lebedev–Milin inequality” also appears in univalent function theory. Let
16
be analytic on the unit disk, and define the logarithmic coefficients by
17
For 18 univalent, de Branges’ theorem yields, for every integer 19,
20
with equality for all 21 simultaneously if and only if 22 is the Koebe function 23 or one of its rotations (Ponnusamy et al., 2019).
A general weighted version is obtained by replacing the coefficient 24 with a convex weight sequence. If 25 is a convex sequence of nonnegative real numbers satisfying
26
then for every 27,
28
Equality holds if and only if 29 for some 30 (Ponnusamy et al., 2019).
The proof rewrites the convexity condition through
31
together with
32
and then sums the classical Milin inequalities against 33. This is a summation-by-parts reduction from the weighted statement to de Branges’ finite inequalities (Ponnusamy et al., 2019).
Roth’s extension relaxes global convexity. If 34 for all 35, one studies a finite weighted inequality through de Branges’ ODE system
36
and positivity of certain Jacobi-polynomial combinations
37
This permits sharp nonconvex examples, including
38
and, for 39,
40
6. Higher-order analogues and applications
The constrained Lebedev–Milin framework extends beyond second-order boundary analysis. For a compact manifold with boundary 41, Case and Luo construct a sixth-order GJMS operator 42, associated conformally covariant boundary operators 43, and the energy
44
On compactifications of Poincaré–Einstein manifolds, the boundary operators realize fractional GJMS operators of orders one, three, and five. In critical dimension 45, the sharp Onofri–Lebedev–Milin inequality on 46,
47
yields the six-dimensional Lebedev–Milin or Onofri-type trace inequality
48
where 49, 50, and 51. Equality holds precisely when 52 and each boundary datum has the Möbius-invariant extremal form recorded in the source (Case et al., 2018).
A different application appears in mean-field free energies on the circle. Proposition 2.1 in the 2026 work on phase transitions uses the constrained Lebedev–Milin inequality in the form
53
under vanishing of the first 54 nonzero Fourier modes of 55, to obtain a sharp coercivity estimate. Combined with the dual form of the inequality and the Donsker–Varadhan representation of relative entropy, this shows that for an 56-periodic interaction satisfying
57
the uniform distribution remains the unique minimizer for 58, and the transition occurs exactly at 59 (Mun et al., 17 Apr 2026).
The same source applies this coercive mechanism to several models for which the exact value of the phase transition and its continuity were not fully known. For the two-dimensional Doi–Onsager model 60, the phase transition is continuous at
61
For the noisy transformer model 62, a sharp threshold 63 is identified such that 64 and the phase transition is continuous for 65, while 66 and the phase transition is discontinuous for 67. An analogous sharp dichotomy is obtained for the noisy Hegselmann–Krause model 68 (Mun et al., 17 Apr 2026).
Across these formulations, the common mechanism is the removal or controlled weighting of low modes: Fourier moments of the exponential measure on 69, center-of-mass modes on 70, or coefficient modes in the logarithmic expansion of a univalent function. The constrained inequality is therefore not a single formula but a sharp principle linking moment annihilation, extremal conformal factors, Toeplitz or de Branges structures, and optimal constants in critical logarithmic embeddings (Chang et al., 2019, Chang et al., 2021, Ponnusamy et al., 2019).