  In this paper, for $d \geq 1$ and $s \in (0,\frac{d}{2})$, we study the
Bianchi-Egnell quotient \[ \mathcal Q(f) = \inf_{f \in \dot{H}^s(\mathbb R^d)
\setminus \mathcal B} \frac{\|(-\Delta)^{s/2} f\|_{L^2(\mathbb R^d)}^2 -
S_{d,s} \|f\|_{L^{\frac{2d}{d-2s}}(\mathbb
R^d)}^2}{\text{dist}_{\dot{H}^s(\mathbb R^d)}(f, \mathcal B)^2}, \qquad f \in
\dot{H}^s(\mathbb R^d) \setminus \mathcal B, \] where $S_{d,s}$ is the best
Sobolev constant and $\mathcal B$ is the manifold of Sobolev optimizers. By a
fine asymptotic analysis, we prove that when $d = 1$, there is a neighborhood
of $\mathcal B$ on which the quotient $\mathcal Q(f)$ is larger than the lowest
value attainable by sequences converging to $\mathcal B$. This behavior is
surprising because it is contrary to the situation in dimension $d \geq 2$
described recently in \cite{Koenig}.
  This leads us to conjecture that for $d = 1$, $\mathcal Q(f)$ has no
minimizer on $\dot{H}^s(\mathbb R^d) \setminus \mathcal B$, which again would
be contrary to the situation in $d \geq 2$.
  As a complement of the above, we study a family of test functions which
interpolates between one and two Talenti bubbles, for every $d \geq 1$. For $d
\geq 2$, this family yields an alternative proof of the main result of
\cite{Koenig}. For $d =1$ we make some numerical observations which support the
conjecture stated above.
