Gradient Flow Structure and the Morse–Bott Picture
Ricci flow as the gradient flow of Perelman's F-functional, with critical points, stability, and the BMS analogy
1. The Weighted $L^2$ Metric on $\mathrm{Met}(M)$
The space of Riemannian metrics $\mathrm{Met}(M)$ on a closed manifold $M$is an infinite-dimensional open cone in the space of symmetric 2-tensors$\Gamma(S^2 T^*M)$. To define a gradient, we equip it with the Perelman-weighted $L^2$ inner product. For tangent vectors$h, k \in T_g\mathrm{Met}(M)$:
$$\langle h, k\rangle_{g,f} = \int_M g^{ia}g^{jb}\,h_{ij}\,k_{ab}\;e^{-f}\,d\mu$$
This is a DeWitt-type metric weighted by the Perelman measure $e^{-f}d\mu$. The weighting ensures that the gradient of $\mathcal{F}$ produces the modified Ricci flow. Without the weight, one would obtain only the unmodified flow$-2R_{ij}$, which does not preserve the volume constraint.
One can also write this in index-free notation. Denoting the pointwise inner product of symmetric 2-tensors by $\langle h, k\rangle_g = g^{ia}g^{jb}h_{ij}k_{ab}$:
$$\langle h, k\rangle_{g,f} = \int_M \langle h, k\rangle_g\;e^{-f}\,d\mu = \int_M \mathrm{tr}_g(h \cdot k)\;e^{-f}\,d\mu$$
where the trace is over both pairs of indices. This metric is positive definite since$g$ is positive definite and $e^{-f} > 0$.
2. First Variation and the $L^2$-Gradient
For a one-parameter family $g(t)$ with $\dot{g}_{ij} = h_{ij}$ and$f(t)$ adjusted to preserve $\int e^{-f}d\mu$, the first variation of$\mathcal{F}$ is (derived in the previous lecture):
$$\frac{d}{dt}\mathcal{F}(g(t), f(t)) = -\int_M \bigl(R_{ij} + \nabla_i\nabla_j f\bigr)\,h^{ij}\;e^{-f}\,d\mu$$
The gradient $\mathrm{grad}_g\mathcal{F}$ is defined by the relation$d\mathcal{F}(h) = \langle\mathrm{grad}_g\mathcal{F},\, h\rangle_{g,f}$ for all variations $h$. Comparing the two expressions, we read off:
$$\boxed{\mathrm{grad}_g\,\mathcal{F} = -2\bigl(R_{ij} + \nabla_i\nabla_j f\bigr)}$$
The factor of $-2$ arises from matching the convention $\partial_t g = -2\,\mathrm{Ric}$. Modulo diffeomorphisms (on the quotient $\mathrm{Met}(M)/\mathrm{Diff}(M)$), the $\nabla_i\nabla_j f$ term is pure gauge (a Lie derivative $\mathcal{L}_{\nabla f}g$) and the gradient reduces to $-2R_{ij}$.
3. Ricci Flow as Gradient Flow
Hamilton's Ricci flow, augmented by the backward heat equation for $f$, is the ascending gradient flow of $\mathcal{F}$:
$$\boxed{\frac{\partial g_{ij}}{\partial t} = \mathrm{grad}_g\,\mathcal{F} = -2\bigl(R_{ij} + \nabla_i\nabla_j f\bigr)}$$
The backward heat equation for the dilaton is the compatibility condition:
$$\frac{\partial f}{\partial t} = -\Delta f + |\nabla f|^2 - R$$
Together, these ensure that $\frac{d}{dt}\int_M e^{-f}d\mu = 0$ (the weighted volume is preserved). The flow is ascending because $\mathcal{F}$ increases; this is the opposite of the usual Morse theory convention but matches the physics of entropy increase.
The DeTurck trick: the diffeomorphism $\phi_t$ generated by $V^i = g^{ij}\partial_j f$transforms the modified flow into pure Ricci flow. Explicitly, if $\tilde{g}(t) = \phi_t^* g(t)$:
$$\frac{\partial\tilde{g}_{ij}}{\partial t} = -2\tilde{R}_{ij}$$
4. Entropy Monotonicity as a Tautology
The monotonicity formula follows immediately from the gradient flow structure. Along the coupled system:
$$\frac{d\mathcal{F}}{dt} = \langle\mathrm{grad}\,\mathcal{F},\;\partial_t g\rangle_{g,f} = \langle\mathrm{grad}\,\mathcal{F},\;\mathrm{grad}\,\mathcal{F}\rangle_{g,f} = \|\mathrm{grad}\,\mathcal{F}\|^2_{g,f}$$
Computing the squared norm explicitly:
$$\boxed{\frac{d\mathcal{F}}{dt} = 2\int_M |R_{ij} + \nabla_i\nabla_j f|^2\;e^{-f}\,d\mu \;\geq\; 0}$$
Equality holds if and only if $R_{ij} + \nabla_i\nabla_j f = 0$ everywhere, which is the steady gradient Ricci soliton equation. The monotonicity is thus a tautological consequence of the gradient flow structure, not a deep analytic estimate.
This mirrors the fact that for any gradient flow $\dot{x} = \nabla F(x)$ on a Riemannian manifold, one has $\dot{F} = |\nabla F|^2 \geq 0$ — the function increases along its own gradient flow. The non-trivial content of Perelman's work is establishing that the Ricci flow is such a gradient flow.
5. Critical Points: Steady Ricci Solitons
The critical points of $\mathcal{F}$ on $\mathrm{Met}(M)\times C^\infty(M)$satisfy $\mathrm{grad}\,\mathcal{F} = 0$, i.e.:
$$R_{ij} + \nabla_i\nabla_j f = 0$$
These are precisely the steady gradient Ricci solitons. The critical set is not isolated: it forms an orbit under $\mathrm{Diff}(M)$ (since if $(g,f)$ is critical, so is $(\phi^*g, f\circ\phi)$ for any diffeomorphism $\phi$).
Examples include Ricci-flat metrics ($f = \text{const}$), the Hamilton cigar soliton on $\mathbb{R}^2$, and the Bryant soliton on $\mathbb{R}^3$. In three dimensions, any compact steady soliton must be Ricci-flat (hence flat), so the interesting examples are non-compact.
6. Morse–Bott Non-Degeneracy and the Hessian
The Hessian of $\mathcal{F}$ at a critical point $(g_0, f_0)$ is the linearization of the gradient. For a variation $h_{ij}$:
$$\mathrm{Hess}\,\mathcal{F}\big|_{(g_0,f_0)}(h,h) = \int_M \bigl(|\nabla h|^2 + \mathrm{Rm} * h * h - |\mathrm{div}\,h|^2\bigr)\,e^{-f_0}\,d\mu$$
where $\mathrm{Rm} * h * h$ denotes the curvature operator applied to $h$(involving $R_{ikjl}h^{kl}$ contractions). The Morse–Bott condition requires:
$$\ker\bigl(\mathrm{Hess}\,\mathcal{F}\big|_{(g_0,f_0)}\bigr) = T_{(g_0,f_0)}\mathcal{C}$$
where $\mathcal{C}$ is the critical manifold (the $\mathrm{Diff}(M)$-orbit of $(g_0, f_0)$). When this holds, the critical manifold is clean in the sense of Bott, and the stable/unstable manifold decomposition is well-defined.
7. The Stable Manifold Theorem
The stable manifold of a critical point $g_0$ is the set of initial metrics that flow to $g_0$ under the Ricci flow:
$$W^s(g_0) = \bigl\{g \in \mathrm{Met}(M) : g(t) \to g_0 \;\text{as}\; t \to \infty\bigr\}$$
By the Lunardi–Simonett infinite-dimensional stable manifold theorem, $W^s(g_0)$is a smooth submanifold of $\mathrm{Met}(M)$. Its codimension equals the Morse index of $g_0$ (the number of unstable directions of the Hessian).
The tangent space to the stable manifold at $g_0$ is the negative eigenspace of$\mathrm{Hess}\,\mathcal{F}$ (since the flow ascends, "stable" means converging to the critical point as $t \to +\infty$, which requires being in a direction where$\mathcal{F}$ is already near its critical value).
8. $\kappa$-Non-Collapsing from the Stable Manifold
Perelman's $\kappa$-non-collapsing theorem states: along the Ricci flow, if the curvature satisfies $|\mathrm{Rm}| \leq r^{-2}$ on a geodesic ball$B(x, r)$, then the volume ratio is bounded below:
$$\mathrm{Vol}(B(x,r)) \geq \kappa\,r^n$$
for some $\kappa > 0$ depending only on initial data. In the Morse–Bott picture, this is a uniform lower bound on the size of the stable manifold. The proof uses the$\mathcal{W}$-entropy (the scale-invariant version of $\mathcal{F}$):
$$\mathcal{W}(g, f, \tau) = \int_M \bigl[\tau(R + |\nabla f|^2) + f - n\bigr](4\pi\tau)^{-n/2}e^{-f}\,d\mu$$
Its monotonicity $d\mathcal{W}/dt \geq 0$ provides a uniform lower bound on the reduced volume $\mu(g,\tau) = \inf_f \mathcal{W}$, which translates to volume non-collapsing via the log-Sobolev inequality:
$$\boxed{\mu(g(t), \tau) \geq \mu(g(0), t + \tau) \geq -C(g(0)) \quad\Longrightarrow\quad \kappa\text{-non-collapsing}}$$
9. BMS Analogy: Memory as Gradient Flow
The gradient flow structure has a striking parallel in the BMS framework at null infinity. The covariant phase space $\mathcal{P}_{\rm BMS}$ carries the Crnkovic–Witten pre-symplectic form:
$$\Omega_{\rm BMS} = \frac{1}{16\pi G}\int_{\mathscr{I}^+}\delta N_{AB}\wedge\delta C^{AB}\,d^2\Omega\,du$$
Here $N_{AB} = \partial_u C_{AB}$ is the Bondi news and $C_{AB}$ is the asymptotic shear. The BMS Hamiltonian generating supertranslations $\alpha(\theta,\phi)$:
$$H_\alpha = \frac{1}{4\pi G}\oint_{S^2}\alpha\,m_B\,d^2\Omega$$
The displacement memory $\Delta C_{AB} = C_{AB}(+\infty) - C_{AB}(-\infty)$is the total flow generated by $H_\alpha$. The analogy:
$$\text{Perelman:}\;\;\partial_t g_{ij} = \mathrm{grad}_g\,\mathcal{F} \quad\longleftrightarrow\quad \text{BMS:}\;\;\partial_u C_{AB} = N_{AB}$$
The Bondi mass loss formula parallels the entropy monotonicity:
$$\boxed{\partial_u m_B = -\frac{1}{8}N_{AB}N^{AB} \;\;\longleftrightarrow\;\; \frac{d\mathcal{F}}{dt} = 2\int|R_{ij} + \nabla_i\nabla_j f|^2\,e^{-f}\,d\mu}$$
Both express dissipation as the squared norm of the gradient. The memory effect is the gravitational analogue of the total entropy produced along the Ricci flow. The critical points (steady solitons for Perelman, stationary spacetimes for BMS) are the equilibria where the gradient vanishes and no further memory accumulates.