κ-Non-Collapsing Theorem
Definition of κ-Non-Collapsing
A fundamental difficulty in taking limits of Ricci flow solutions is volume collapse: a sequence of metrics may have uniformly bounded curvature but shrinking volumes, preventing Cheeger–Gromov convergence. Perelman's non-collapsing theorem eliminates this obstruction.
Definition
A Riemannian manifold $(M^n, g)$ is said to be κ-non-collapsed at scale $r$ if for every geodesic ball $B(x, r)$ satisfying the curvature bound $|\mathrm{Rm}| \leq r^{-2}$ on $B(x, r)$, the volume satisfies:
The constant $\kappa > 0$ depends only on the initial data and the time interval, not on the particular point or scale.
The Theorem
Theorem (Perelman, 2002)
Let $(M^n, g(t))$ be a smooth solution of the Ricci flow on a closed manifold for $t \in [0, T)$. Then for every $\rho > 0$, there exists $\kappa = \kappa(g_0, T, \rho) > 0$ such that $g(t)$is $\kappa$-non-collapsed at all scales less than $\rho$ for every $t \in [0, T)$.
Proof Sketch via W-Entropy
The proof uses the monotonicity of the W-entropy in a beautiful way. Suppose for contradiction that $(M, g(t_0))$ is highly collapsed at some point $x_0$ and scale $r_0$, meaning:
Step 1: Construct a test function. Choose a smooth cutoff function $f$ concentrated near $x_0$ at scale $r_0$, normalised so that $\int (4\pi\tau)^{-n/2} e^{-f}\,d\mu = 1$ with $\tau = r_0^2$.
Step 2: Volume collapse forces W down. The volume assumption forces the entropy of the test function to be very large (since $f$ must be large to compensate for the small volume), giving:
Step 3: Contradiction with monotonicity. Since $\mu(g, \tau) = \inf_f \mathcal{W}(g, f, \tau)$, and $\mathcal{W}$ is non-decreasing along the flow, we obtain a lower bound on $\mu(g(t_0), r_0^2)$ from the initial data. For sufficiently collapsed metrics, the test function gives a value far below this bound, yielding a contradiction.
Logarithmic Sobolev Inequality
The non-collapsing theorem is intimately connected to the logarithmic Sobolev inequality. In Euclidean space $\mathbb{R}^n$, the classical log-Sobolev inequality states that for any $u$ with $\int u^2 (4\pi\tau)^{-n/2} e^{-|x|^2/(4\tau)}\,dx = 1$:
Perelman's W-entropy can be viewed as a geometric generalisation of this inequality to curved manifolds evolving under Ricci flow. The non-collapsing result is essentially equivalent to saying that a log-Sobolev inequality holds along the flow with uniform constants depending only on the initial data.