[proofplan] We differentiate the three moving pieces of $\mathcal F$: the scalar curvature, the gradient norm of $f$, and the weighted measure. The first-order constraint on $e^{-f(s)}d\mu_{g(s)}$ removes all terms coming from variation of the density and identifies $v$ with $\frac{1}{2}\operatorname{tr}_g(h)$. The remaining divergence terms are integrated by parts against the fixed weight $e^{-f}$; the Hessian terms and gradient-square terms cancel until only the pairing with $\operatorname{Ric}_g+\operatorname{Hess}_g f$ remains. [/proofplan] [step:Differentiate the weighted measure and identify the constraint] Let $I \subset \mathbb{R}$ be an open interval containing $0$ on which the variations $g(s)$ and $f(s)$ are defined. For each $s \in I$, let $\rho(s) \in C^\infty(M)$ be the positive function \begin{align*} \rho(s) := e^{-f(s)}. \end{align*} The [first variation formula](/theorems/2728) for the Riemannian volume form gives \begin{align*} \frac{d}{ds}\Big|_{s=0}d\mu_{g(s)} = \frac{1}{2}\operatorname{tr}_g(h)\,d\mu_g. \end{align*} Also, \begin{align*} \frac{d}{ds}\Big|_{s=0}e^{-f(s)} = -v e^{-f}. \end{align*} Therefore \begin{align*} \frac{d}{ds}\Big|_{s=0}\left(e^{-f(s)}\,d\mu_{g(s)}\right) = \left(\frac{1}{2}\operatorname{tr}_g(h)-v\right)e^{-f}\,d\mu_g. \end{align*} The imposed pointwise first-order constraint is exactly \begin{align*} v=\frac{1}{2}\operatorname{tr}_g(h). \end{align*} [guided] We first isolate the effect of the constraint, because this is the mechanism that removes the density-variation terms later. Define \begin{align*} \rho(s):=e^{-f(s)}. \end{align*} Then $\rho(s)$ is a smooth positive function on $M$, and differentiating the exponential gives \begin{align*} \frac{d}{ds}\Big|_{s=0}\rho(s) = \frac{d}{ds}\Big|_{s=0}e^{-f(s)} = -v e^{-f}. \end{align*} The first variation formula for the Riemannian volume form gives \begin{align*} \frac{d}{ds}\Big|_{s=0}d\mu_{g(s)} = \frac{1}{2}\operatorname{tr}_g(h)\,d\mu_g. \end{align*} Here the hypothesis that $g(s)$ is a smooth variation ensures the coordinate matrix is differentiable in $s$. The formula follows from differentiating $\sqrt{\det(g_{ij}(s))}$ in local coordinates: if $Jg$ denotes the coordinate matrix of $g$ in a chart, then \begin{align*} \frac{d}{ds}\Big|_{s=0}\sqrt{\det(Jg(s))} = \frac{1}{2}\operatorname{tr}\left((Jg)^{-1}Jh\right)\sqrt{\det(Jg)} = \frac{1}{2}\operatorname{tr}_g(h)\sqrt{\det(Jg)}. \end{align*} Multiplying the two first variations by the product rule gives \begin{align*} \frac{d}{ds}\Big|_{s=0}\left(e^{-f(s)}\,d\mu_{g(s)}\right) = \left(-v e^{-f}\right)d\mu_g + e^{-f}\left(\frac{1}{2}\operatorname{tr}_g(h)\,d\mu_g\right). \end{align*} Combining the two terms gives \begin{align*} \frac{d}{ds}\Big|_{s=0}\left(e^{-f(s)}\,d\mu_{g(s)}\right) = \left(\frac{1}{2}\operatorname{tr}_g(h)-v\right)e^{-f}\,d\mu_g. \end{align*} The hypothesis says that this signed measure vanishes to first order. Since $e^{-f}d\mu_g$ is a positive smooth measure, the coefficient must vanish pointwise: \begin{align*} v=\frac{1}{2}\operatorname{tr}_g(h). \end{align*} [/guided] [/step] [step:Differentiate the scalar curvature and gradient terms] Let $n := \dim M$, and let $S_g \in C^\infty(M)$ denote the scalar curvature of the metric $g$. For a smooth function $u \in C^\infty(M)$, define the Laplace-Beltrami operator with the positive-divergence sign convention by \begin{align*} \Delta_g u := \operatorname{div}_g(\nabla u). \end{align*} For a smooth function $u \in C^\infty(M)$, define its Riemannian Hessian $\operatorname{Hess}_g u \in \Gamma(T^*M\otimes T^*M)$ by \begin{align*} \operatorname{Hess}_g u(X,Y) := X(Yu) - (\nabla_XY)u \end{align*} for all vector fields $X,Y \in \mathfrak X(M)$, where $\nabla$ is the Levi-Civita connection of $g$. In a local $g$-orthonormal frame, let $\operatorname{div}_g h \in \Omega^1(M)$ be the one-form with components \begin{align*} (\operatorname{div}_g h)_j := \sum_{i=1}^n \nabla_i h_{ij}, \end{align*} and let $\operatorname{div}_g\operatorname{div}_g h \in C^\infty(M)$ be the smooth function \begin{align*} \operatorname{div}_g\operatorname{div}_g h := \sum_{i,j=1}^n \nabla_j\nabla_i h_{ij}. \end{align*} Since $g(s)$ is a smooth variation of metrics, the scalar-curvature first variation is obtained as follows. In a local $g$-orthonormal frame at a point, write a dot for $\frac{d}{ds}\big|_{s=0}$. Differentiating the inverse metric gives $\dot g^{ij}=-h_{ij}$, and differentiating the Christoffel symbols gives \begin{align*} \dot\Gamma_{ij}^k = \frac{1}{2}\left(\nabla_i h_{jk}+\nabla_j h_{ik}-\nabla_k h_{ij}\right). \end{align*} Using the curvature convention $\operatorname{Ric}_{ij}=R_{kij}^{\phantom{kij}k}$, the induced Ricci variation is \begin{align*} \dot{\operatorname{Ric}}_{ij} = \nabla_k\dot\Gamma_{ij}^k-\nabla_j\dot\Gamma_{ik}^k = \frac{1}{2}\left( \nabla_k\nabla_i h_{jk} + \nabla_k\nabla_j h_{ik} - \nabla_k\nabla_k h_{ij} - \nabla_i\nabla_j\operatorname{tr}_g h \right). \end{align*} Contracting and commuting the contracted covariant derivatives in the standard Ricci-variation computation yields \begin{align*} g^{ij}\dot{\operatorname{Ric}}_{ij} = \operatorname{div}_g\operatorname{div}_g h - \Delta_g(\operatorname{tr}_g h). \end{align*} Therefore, differentiating $S_{g(s)}=g(s)^{ij}\operatorname{Ric}_{ij}(g(s))$ gives \begin{align*} \frac{d}{ds}\Big|_{s=0}S_{g(s)} = -\langle h,\operatorname{Ric}_g\rangle_g + \operatorname{div}_g\operatorname{div}_g h - \Delta_g(\operatorname{tr}_g h). \end{align*} The standard variation formula for the squared gradient norm, obtained by differentiating the inverse metric contribution and the function variation $v$, is \begin{align*} \frac{d}{ds}\Big|_{s=0}|\nabla^{g(s)} f(s)|_{g(s)}^2 = -\langle h,\nabla f\otimes\nabla f\rangle_g + 2\langle \nabla f,\nabla v\rangle_g. \end{align*} Using the product rule for the integral defining $\mathcal F$ and the density computation from the previous step, we obtain \begin{align*} \frac{d}{ds}\Big|_{s=0}\mathcal F[g(s),f(s)] = \int_M \left[ -\langle h,\operatorname{Ric}_g\rangle_g + \operatorname{div}_g\operatorname{div}_g h - \Delta_g(\operatorname{tr}_g h) \right]e^{-f}\,d\mu_g. \end{align*} Adding the differentiated gradient-norm contribution and the density-variation contribution gives \begin{align*} \frac{d}{ds}\Big|_{s=0}\mathcal F[g(s),f(s)] = \int_M \left[ -\langle h,\operatorname{Ric}_g\rangle_g + \operatorname{div}_g\operatorname{div}_g h - \Delta_g(\operatorname{tr}_g h) \right]e^{-f}\,d\mu_g + \int_M \left[ -\langle h,\nabla f\otimes\nabla f\rangle_g + 2\langle \nabla f,\nabla v\rangle_g \right]e^{-f}\,d\mu_g + \int_M \left(S_g+|\nabla f|_g^2\right) \left(\frac{1}{2}\operatorname{tr}_g(h)-v\right)e^{-f}\,d\mu_g. \end{align*} Since $v=\frac{1}{2}\operatorname{tr}_g(h)$, the last integral is zero. [guided] The goal of this step is to separate the variation of the integrand from the variation of the weighted density. Let $n := \dim M$, and let $S_g \in C^\infty(M)$ denote the scalar curvature of the metric $g$. For any smooth function $u \in C^\infty(M)$, we use the Laplace-Beltrami sign convention \begin{align*} \Delta_g u := \operatorname{div}_g(\nabla u). \end{align*} For any smooth function $u \in C^\infty(M)$, define $\operatorname{Hess}_g u \in \Gamma(T^*M\otimes T^*M)$ by \begin{align*} \operatorname{Hess}_g u(X,Y) := X(Yu) - (\nabla_XY)u \end{align*} for all vector fields $X,Y \in \mathfrak X(M)$, where $\nabla$ is the Levi-Civita connection of $g$. In a local $g$-orthonormal frame, define \begin{align*} (\operatorname{div}_g h)_j := \sum_{i=1}^n \nabla_i h_{ij} \end{align*} and \begin{align*} \operatorname{div}_g\operatorname{div}_g h := \sum_{i,j=1}^n \nabla_j\nabla_i h_{ij}. \end{align*} We now compute the scalar-curvature variation rather than treating it as a black box. In a local $g$-orthonormal frame at a point, write a dot for $\frac{d}{ds}\big|_{s=0}$. If $h^\sharp \in \Gamma(\operatorname{End}(TM))$ is defined by $g(h^\sharp X,Y)=h(X,Y)$ for vector fields $X,Y \in \mathfrak X(M)$, then differentiating $g(s)^{ik}g(s)_{kj}=\delta^i_j$ gives \begin{align*} \frac{d}{ds}\Big|_{s=0}g(s)^{-1}=-h^\sharp, \end{align*} or, in components, $\dot g^{ij}=-h_{ij}$. Next, differentiating the formula for the Levi-Civita connection gives \begin{align*} \dot\Gamma_{ij}^k = \frac{1}{2}\left(\nabla_i h_{jk}+\nabla_j h_{ik}-\nabla_k h_{ij}\right). \end{align*} The Ricci tensor is the contraction $\operatorname{Ric}_{ij}=R_{kij}^{\phantom{kij}k}$ with the curvature convention used here, so its variation is \begin{align*} \dot{\operatorname{Ric}}_{ij} = \nabla_k\dot\Gamma_{ij}^k-\nabla_j\dot\Gamma_{ik}^k. \end{align*} Substituting the displayed expression for $\dot\Gamma$ gives \begin{align*} \dot{\operatorname{Ric}}_{ij} = \frac{1}{2}\left( \nabla_k\nabla_i h_{jk} + \nabla_k\nabla_j h_{ik} - \nabla_k\nabla_k h_{ij} - \nabla_i\nabla_j\operatorname{tr}_g h \right). \end{align*} After contraction with $g^{ij}$, the two mixed-divergence terms combine to $\operatorname{div}_g\operatorname{div}_g h$, and the trace term gives $-\Delta_g(\operatorname{tr}_g h)$, so \begin{align*} g^{ij}\dot{\operatorname{Ric}}_{ij} = \operatorname{div}_g\operatorname{div}_g h - \Delta_g(\operatorname{tr}_g h). \end{align*} Finally, differentiating $S_{g(s)}=g(s)^{ij}\operatorname{Ric}_{ij}(g(s))$ gives \begin{align*} \frac{d}{ds}\Big|_{s=0}S_{g(s)} = -\langle h,\operatorname{Ric}_g\rangle_g + \operatorname{div}_g\operatorname{div}_g h - \Delta_g(\operatorname{tr}_g h). \end{align*} The other moving part of the integrand is $|\nabla^{g(s)} f(s)|_{g(s)}^2$. Differentiating the inverse metric gives the tensor term $-\langle h,\nabla f\otimes\nabla f\rangle_g$, while differentiating the function $f(s)$ gives $2\langle \nabla f,\nabla v\rangle_g$. Hence \begin{align*} \frac{d}{ds}\Big|_{s=0}|\nabla^{g(s)} f(s)|_{g(s)}^2 = -\langle h,\nabla f\otimes\nabla f\rangle_g + 2\langle \nabla f,\nabla v\rangle_g. \end{align*} The product rule for the functional $\mathcal F$ therefore gives three contributions: scalar curvature, gradient norm, and weighted-density variation. Using the previous step for the density term, we get \begin{align*} \frac{d}{ds}\Big|_{s=0}\mathcal F[g(s),f(s)] = \int_M \left[ -\langle h,\operatorname{Ric}_g\rangle_g + \operatorname{div}_g\operatorname{div}_g h - \Delta_g(\operatorname{tr}_g h) \right]e^{-f}\,d\mu_g + \int_M \left[ -\langle h,\nabla f\otimes\nabla f\rangle_g + 2\langle \nabla f,\nabla v\rangle_g \right]e^{-f}\,d\mu_g + \int_M \left(S_g+|\nabla f|_g^2\right) \left(\frac{1}{2}\operatorname{tr}_g(h)-v\right)e^{-f}\,d\mu_g. \end{align*} The constraint from the first step says $v=\frac{1}{2}\operatorname{tr}_g(h)$, so the entire density-variation contribution is zero. This leaves only the curvature and gradient-norm variations to be simplified by [integration by parts](/theorems/2098). [/guided] [/step] [step:Integrate the divergence terms against the weighted measure] Define $\rho \in C^\infty(M)$ by \begin{align*} \rho := e^{-f}. \end{align*} Since $M$ is closed, the closed-manifold form of the [Gauss-Green Theorem](/theorems/28) gives [integration by parts](/theorems/210) with no boundary term. Applying it twice to $\operatorname{div}_g\operatorname{div}_g h$ gives \begin{align*} \int_M \operatorname{div}_g\operatorname{div}_g h\,\rho\,d\mu_g = \int_M \langle h,\operatorname{Hess}_g\rho\rangle_g\,d\mu_g. \end{align*} Because \begin{align*} \operatorname{Hess}_g\rho = \operatorname{Hess}_g(e^{-f}) = e^{-f}\left(\nabla f\otimes\nabla f-\operatorname{Hess}_g f\right), \end{align*} we have \begin{align*} \int_M \operatorname{div}_g\operatorname{div}_g h\,e^{-f}\,d\mu_g = \int_M \left\langle h,\nabla f\otimes\nabla f-\operatorname{Hess}_g f\right\rangle_g e^{-f}\,d\mu_g. \end{align*} Similarly, \begin{align*} \int_M -\Delta_g(\operatorname{tr}_g h)\,e^{-f}\,d\mu_g = -\int_M \operatorname{tr}_g(h) \left(|\nabla f|_g^2-\Delta_g f\right) e^{-f}\,d\mu_g. \end{align*} Finally, integration by parts applied to $\langle \nabla f,\nabla v\rangle_g$ gives \begin{align*} 2\int_M \langle \nabla f,\nabla v\rangle_g e^{-f}\,d\mu_g = 2\int_M v\left(|\nabla f|_g^2-\Delta_g f\right)e^{-f}\,d\mu_g. \end{align*} Using $v=\frac{1}{2}\operatorname{tr}_g(h)$, this becomes \begin{align*} 2\int_M \langle \nabla f,\nabla v\rangle_g e^{-f}\,d\mu_g = \int_M \operatorname{tr}_g(h) \left(|\nabla f|_g^2-\Delta_g f\right)e^{-f}\,d\mu_g, \end{align*} where the last equality uses $v=\frac{1}{2}\operatorname{tr}_g(h)$. [guided] The divergence terms must be moved from $h$ and $\operatorname{tr}_g(h)$ onto the weight $e^{-f}$. Define the smooth positive weight $\rho \in C^\infty(M)$ by \begin{align*} \rho := e^{-f}. \end{align*} Because $M$ is closed, the closed-manifold form of the [Gauss-Green Theorem](/theorems/28) gives integration by parts without boundary terms. Applying integration by parts twice to $\operatorname{div}_g\operatorname{div}_g h$ transfers the two covariant derivatives from $h$ to $\rho$ and yields \begin{align*} \int_M \operatorname{div}_g\operatorname{div}_g h\,\rho\,d\mu_g = \int_M \langle h,\operatorname{Hess}_g\rho\rangle_g\,d\mu_g. \end{align*} Now compute the Hessian of the weight. Since $\rho=e^{-f}$, the product and chain rules give \begin{align*} \operatorname{Hess}_g\rho = \operatorname{Hess}_g(e^{-f}) = e^{-f}\left(\nabla f\otimes\nabla f-\operatorname{Hess}_g f\right). \end{align*} Substituting this into the preceding identity gives \begin{align*} \int_M \operatorname{div}_g\operatorname{div}_g h\,e^{-f}\,d\mu_g = \int_M \left\langle h,\nabla f\otimes\nabla f-\operatorname{Hess}_g f\right\rangle_g e^{-f}\,d\mu_g. \end{align*} The same integration-by-parts principle applies to the Laplacian term. Since $\Delta_g$ is $\operatorname{div}_g\nabla$ with our sign convention, \begin{align*} \int_M -\Delta_g(\operatorname{tr}_g h)\,e^{-f}\,d\mu_g = -\int_M \operatorname{tr}_g(h) \left(|\nabla f|_g^2-\Delta_g f\right) e^{-f}\,d\mu_g. \end{align*} Finally, integrate by parts in the gradient term involving $v$: \begin{align*} 2\int_M \langle \nabla f,\nabla v\rangle_g e^{-f}\,d\mu_g = 2\int_M v\left(|\nabla f|_g^2-\Delta_g f\right)e^{-f}\,d\mu_g. \end{align*} Using the fixed weighted-measure constraint $v=\frac{1}{2}\operatorname{tr}_g(h)$ changes this to \begin{align*} 2\int_M \langle \nabla f,\nabla v\rangle_g e^{-f}\,d\mu_g = \int_M \operatorname{tr}_g(h) \left(|\nabla f|_g^2-\Delta_g f\right)e^{-f}\,d\mu_g. \end{align*} These are exactly the terms needed for the cancellation in the final step. [/guided] [/step] [step:Cancel the weighted terms and obtain the first variation formula] Substituting the three integration-by-parts identities into the differentiated formula gives \begin{align*} \frac{d}{ds}\Big|_{s=0}\mathcal F[g(s),f(s)] = \int_M \left[ -\langle h,\operatorname{Ric}_g\rangle_g -\langle h,\nabla f\otimes\nabla f\rangle_g \right]e^{-f}\,d\mu_g + \int_M \left\langle h,\nabla f\otimes\nabla f-\operatorname{Hess}_g f\right\rangle_g e^{-f}\,d\mu_g - \int_M \operatorname{tr}_g(h) \left(|\nabla f|_g^2-\Delta_g f\right)e^{-f}\,d\mu_g + \int_M \operatorname{tr}_g(h) \left(|\nabla f|_g^2-\Delta_g f\right)e^{-f}\,d\mu_g. \end{align*} The last two integrals cancel. The two terms involving $\nabla f\otimes\nabla f$ also cancel. Therefore \begin{align*} \frac{d}{ds}\Big|_{s=0}\mathcal F[g(s),f(s)] = -\int_M \left[ \langle h,\operatorname{Ric}_g\rangle_g + \langle h,\operatorname{Hess}_g f\rangle_g \right]e^{-f}\,d\mu_g. \end{align*} By bilinearity of the metric pairing on symmetric two-tensors, this is \begin{align*} \frac{d}{ds}\Big|_{s=0}\mathcal F[g(s),f(s)] = -\int_M \left\langle h,\operatorname{Ric}_g+\operatorname{Hess}_g f\right\rangle_g e^{-f}\,d\mu_g. \end{align*} This is the desired first variation formula under the fixed weighted-measure constraint. [guided] We now substitute the integration-by-parts identities from the previous step into the variation formula. The expression becomes \begin{align*} \frac{d}{ds}\Big|_{s=0}\mathcal F[g(s),f(s)] = \int_M \left[ -\langle h,\operatorname{Ric}_g\rangle_g -\langle h,\nabla f\otimes\nabla f\rangle_g \right]e^{-f}\,d\mu_g + \int_M \left\langle h,\nabla f\otimes\nabla f-\operatorname{Hess}_g f\right\rangle_g e^{-f}\,d\mu_g - \int_M \operatorname{tr}_g(h) \left(|\nabla f|_g^2-\Delta_g f\right)e^{-f}\,d\mu_g + \int_M \operatorname{tr}_g(h) \left(|\nabla f|_g^2-\Delta_g f\right)e^{-f}\,d\mu_g. \end{align*} The two trace terms are the same integral with opposite signs, so their sum is zero. The tensor terms involving $\nabla f\otimes\nabla f$ also cancel because \begin{align*} -\langle h,\nabla f\otimes\nabla f\rangle_g + \langle h,\nabla f\otimes\nabla f\rangle_g = 0. \end{align*} After these cancellations, the only remaining terms are the Ricci term and the Hessian term: \begin{align*} \frac{d}{ds}\Big|_{s=0}\mathcal F[g(s),f(s)] = -\int_M \left[ \langle h,\operatorname{Ric}_g\rangle_g + \langle h,\operatorname{Hess}_g f\rangle_g \right]e^{-f}\,d\mu_g. \end{align*} Since the metric pairing is bilinear on symmetric two-tensors, \begin{align*} \langle h,\operatorname{Ric}_g\rangle_g + \langle h,\operatorname{Hess}_g f\rangle_g = \left\langle h,\operatorname{Ric}_g+\operatorname{Hess}_g f\right\rangle_g. \end{align*} Therefore \begin{align*} \frac{d}{ds}\Big|_{s=0}\mathcal F[g(s),f(s)] = -\int_M \left\langle h,\operatorname{Ric}_g+\operatorname{Hess}_g f\right\rangle_g e^{-f}\,d\mu_g. \end{align*} This is exactly the claimed first variation formula under the fixed weighted-measure constraint. [/guided] [/step]