https://pdfs.semanticscholar.org/097d/1f110ae8d39e67545bffca0e7835e4a2679d.pdf
This paper (3.5) says, for any $\nu\in[0,1]$, the $L^2$ orthogonal projection operator $\pi_h$ has the stability: $\forall \psi \in H^{\nu}(\Gamma_C)$,
$$ \left\|\pi_{h} \psi\right\|_{H^{\nu}\left(\Gamma_{C}\right)} \leq C\|\psi\|_{H^{\nu}\left(\Gamma_{C}\right)} $$
It also says the following approximation result holds: for any $\nu\in[0,1]$ and $\mu\in[0,\nu+\frac12]$ we have, $\forall \psi\in H^{\frac12+\nu}(\Gamma_C)$,
$$ h^{-\frac{1}{2}}\left\|\psi-\pi_{h} \psi\right\|_{H^{-\frac{1}{2}}\left(\Gamma_{C}\right)}+h^{\mu}\left\|\psi-\pi_{h} \psi\right\|_{H^{\mu}\left(\Gamma_{C}\right)} \leq C h^{\nu+\frac{1}{2}}\|\psi\|_{H^{\frac{1}{2}+\nu}\left(\Gamma_{C}\right)}$$
It mentions that the estimate in $H^\nu(\Gamma_C)$ is a direct consequence of the stability result and the boundedness of the error w.r.t the $H^{-\frac12}(\Gamma_C)$-norm is obtained by duality.
Could somebody explain how we get the error estimate result from the stability?
I'm assume that $\pi_h$ is the $L^2$-projection onto $\mathcal{P}_p$, the set of piecewise polynomials of degree $p$ over $\Gamma_C$, and that $\Gamma_C$ is some shape-regular union of simplices.
The result follows from scaling and the Bramble--Hilbert Lemma, but the main trick is to realise that since $\pi_h(q)=q$ for any $q\in \mathcal{P}_p$, and so using the stability estimate, $$ \|\psi-\pi_h\psi\|_{H^\mu(\Gamma_C)}=\|(\psi-q)-(\pi_h\psi-q)\|_{H^\mu(\Gamma_C)}$$ $$~~~~~~~~~~~~~~~~~~~~~~~~~~~~=\|(\psi-q)-\pi_h(\psi-q)\|_{H^\mu(\Gamma_C)}$$ $$~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\le\|\psi-q\|_{H^\mu(\Gamma_C)}+\|\pi_h(\psi-q)\|_{H^\mu(\Gamma_C)} $$ $$~~~~~~~~~~~~~~~~\le(1+C)\|\psi-q\|_{H^\mu(\Gamma_C)}$$ $$~~~~~~~~~~~~~~~~~~~~~~~~\le(1+C)\inf_{q\in\mathcal{P}_p}\|\psi-q\|_{H^\mu(\Gamma_C)},$$ where the inf holds due to the fact that we can pick any $q\in \mathcal{P}_p$. Now we can apply the Bramble--Hilbert Lemma and scaling on each simplex to get the error estimate. Essentially the stability of the projection in the $H^\mu$-norm implies that the $L^2$ projection is (up to a constant) as accurate as the best approximation in the $H^\mu$-norm.