[guided]We want to compute $\nabla_{\partial_t}^2 \partial_s f$ on the rectangle $[a, b] \times (-\varepsilon, \varepsilon)$ and show it equals $-R(\partial_t f, \partial_s f) \partial_t f$. This is the canonical "geodesic variation $\Rightarrow$ Jacobi" derivation, and it uses three ingredients. We name each one, check its hypotheses, and assemble them.
**Ingredient 1: the symmetry $\nabla_{\partial_s}\partial_t f = \nabla_{\partial_t}\partial_s f$.** Why does this hold? The Levi-Civita connection is torsion-free: $\nabla_X Y - \nabla_Y X = [X, Y]$ for any smooth vector fields $X, Y$. Applied to the pushforwards $X = df(\partial_t)$ and $Y = df(\partial_s)$, and using that $df$ pushes brackets to brackets on coordinate fields with $[\partial_t, \partial_s] = 0$ on $\mathbb{R}^2$, we get exactly the identity $(\diamond)$ from Step 1. So we may freely swap the order of mixed covariant derivatives along $f$. The first move is therefore
\begin{align*}
\nabla_{\partial_t}\nabla_{\partial_t}\, \partial_s f \stackrel{(\diamond)}{=} \nabla_{\partial_t}\nabla_{\partial_s}\, \partial_t f.
\end{align*}
**Ingredient 2: the curvature commutator along the map $f$.** We apply the [Curvature as Commutator of Covariant Derivatives](/theorems/2703). With the chapter sign convention $R = -\nabla\circ\nabla$, the curvature endomorphism on $M$ satisfies
\begin{align*}
R(X, Y)Z = -\nabla_X\nabla_Y Z + \nabla_Y\nabla_X Z + \nabla_{[X, Y]} Z,
\end{align*}
which we rearrange as
\begin{align*}
\nabla_X\nabla_Y Z - \nabla_Y\nabla_X Z - \nabla_{[X, Y]} Z = -R(X, Y)Z.
\end{align*}
This identity pulls back along the smooth map $f: [a, b] \times (-\varepsilon, \varepsilon) \to M$. The hypotheses to check are: $f$ is smooth (given), $V$ is a smooth section of $f^*TM$ (we will plug in $V = \partial_t f$, which is smooth), and the parameter coordinate fields commute, $[\partial_t, \partial_s] = 0$ (true on $\mathbb{R}^2$). Under the bracket-vanishing condition the $\nabla_{[\cdot, \cdot]}$ term drops, giving
\begin{align*}
\nabla_{\partial_t}\nabla_{\partial_s} V - \nabla_{\partial_s}\nabla_{\partial_t} V = -R(\partial_t f, \partial_s f)\, V
\end{align*}
for any smooth section $V$ of $f^*TM$. Specialising to $V = \partial_t f$ and rearranging:
\begin{align*}
\nabla_{\partial_t}\nabla_{\partial_s}\, \partial_t f = \nabla_{\partial_s}\nabla_{\partial_t}\, \partial_t f - R(\partial_t f, \partial_s f)\, \partial_t f.
\end{align*}
**Ingredient 3: the geodesic equation kills the leftover term.** Each $s$-slice $t \mapsto f(t, s)$ is a geodesic by hypothesis, so $\nabla_{\partial_t}\partial_t f = 0$ as a vector field along $f$ on the *entire* rectangle — not just along $\gamma$. Differentiating zero in any direction is still zero, so
\begin{align*}
\nabla_{\partial_s}\nabla_{\partial_t}\, \partial_t f = 0.
\end{align*}
This is the step where the geodesic hypothesis $(\heartsuit)$ enters. If $f$ were merely a smooth variation (without the geodesic condition), this term would not vanish and the Jacobi equation would not emerge.
**Assembling.** Chaining the three steps:
\begin{align*}
\nabla_{\partial_t}\nabla_{\partial_t}\, \partial_s f
&\stackrel{(\diamond)}{=} \nabla_{\partial_t}\nabla_{\partial_s}\, \partial_t f \quad &&(\text{symmetry of mixed partials}) \\
&= \nabla_{\partial_s}\nabla_{\partial_t}\, \partial_t f - R(\partial_t f, \partial_s f)\, \partial_t f \quad &&(\text{curvature commutator}) \\
&= 0 - R(\partial_t f, \partial_s f)\, \partial_t f \quad &&(\text{geodesic equation}) \\
&= -R(\partial_t f, \partial_s f)\, \partial_t f.
\end{align*}
**Restricting to $\gamma$.** We now read off the value at $s = 0$. By facts (i)-(ii) from Step 1, $\partial_t f(t, 0) = \dot\gamma(t)$ and $\partial_s f(t, 0) = J(t)$, so the second covariant derivative of $J$ along $\gamma$ is
\begin{align*}
J''(t) := \nabla_{\partial_t}\nabla_{\partial_t}\, \partial_s f(t, 0) = -R(\dot\gamma(t), J(t))\, \dot\gamma(t).
\end{align*}
Rearranging,
\begin{align*}
J''(t) + R(\dot\gamma(t), J(t))\, \dot\gamma(t) = 0,
\end{align*}
which is precisely the Jacobi equation. This proves Part 1.[/guided]