About an estimate involving Sobolev norm for a $C^{1,1}$ function

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Reading a paper I came across the following estimate: given $u \in C^{1,1}(\Omega)$, where $\Omega \subset \mathbb{R}^n$ is an open, bounded Lipschitz domain, then

$$ |u(x)-u(x_0)- \nabla u(x_0) (x-x_0)| \le \| u \|_{1,+\infty} |x-x_0|^2 \qquad \forall x \in \Omega \ \ \forall x_0 \in \partial \Omega $$

Looking at the LHS, it would be natural to try with a Taylor expansion at $x_0$, truncated at the first order with Lagrange remainder; the problem is that $u$ does not admit classical second derivatives (at least not everywhere). We may instead argue that $\nabla u $ is almost everywhere differentiable and use (in some way) the definition, but the estimates seems to hold "everywhere". Is someone able to give an insight on this one? Thanks in advance.

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These things tend to become more clear if we subtract off the linear part. Let $v(x) = u(x)-u(x_0)-\nabla u(x_0)(x-x_0)$. Then $\nabla v$ has the same Lipschitz constant $L$ as $\nabla u$. Since $\nabla v(x_0)=0$, it follows that $|\nabla v|\le Lr$ in the ball $B(x_0, r)$. By the Mean Value Inequality, $$ |v(x)-v(x_0)|\le r \sup_{B(x_0, r)}|\nabla v| \le Lr^2 $$ for $v\in B(x_0, r)$. This is the desired estimate.