First fix one centered regular measure with covariance at most I and
curvature at least aI, a>0. Set x=max{1,a−1}.
Choose a finite i with Wi(x)=4, possible by Lemma 10.13. For a fixed sufficiently large universal integer C∗, put
r=Ri+⌈C∗t(x)⌉. This integer lies in the domain of the profile at index i; i and r
are chosen after fixing the measure. The burn-in part of
Lemma 10.13 gives a universal constant
M with Lr(a−1)≤M, and Lemma 10.14 gives
Wi(r)≤4+b2−i. Hence the bounded-profile assertion yields
A(μ)≤A0eCA/8(5+b+2B)1/3M2=:C1. Every quantity on the right is independent of a,n,μ,i,r.
The radius comparison gives CP(μ)≤285C1=:C2.
The fixed comparison factor has been used once, after all refinements.
For an arbitrary isotropic log-concave μ, the approximation assertion
of Lemma 7.1 gives regular isotropic probabilities
μj converging weakly to μ. For ϕ∈Cc∞,
both ϕ2 and ∣∇ϕ∣2 are bounded continuous. Passing
the common inequality to the limit gives
Varμϕ≤C2∫∣∇ϕ∣2dμ. For completeness, the extension to finite-energy locally Lipschitz
functions retains its integrability conclusion. First apply clipping
and compact cutoffs to a bounded locally Lipschitz test; mollify on each
compact set, where the log-concave density is locally integrable, as in
the stated analytic-foundations lemma. Cutoff errors vanish because
the test is bounded and gradients of cutoffs tend uniformly to zero.
This gives the same variance inequality for the clipped tests
fN=max{−N,min{f,N}}, with
∫∣∇fN∣2dμ≤∫∣∇f∣2dμ=:E.
Choose a ball B of positive μ-mass on which ∣f∣≤MB;
local Lipschitz regularity supplies such a bound. For N≥MB,
fN=f on B. If mN=∫fNdμ, then
μ(B)(∣mN∣−MB)+2≤∫B∣fN−mN∣2dμ≤C2E. Thus (mN) is bounded, as is
∫fN2dμ≤C2E+mN2. Since fN2↑f2,
monotone convergence proves f∈L2(μ). Now fN→f in
L2, their means converge, and the variance inequality passes to the
limit with the same constant. Taking the supremum of CP(μ)
over dimensions and isotropic laws concludes the composition.
No supremum over polynomial degrees or internal profile parameters was
passed through weak convergence. Each approximant uses its own finite
parameters, whereas the final scalar constant is common to all of them.