Cubic approximation
in Technical on Tap
The most general one-dimensional cubic approximation to the free energy per spin along the line connecting a minimum and the corresponding saddle looks like
\begin{aligned}
f(x) &= c\int (x-x_m)(x-x_s)\,dx + d,
\end{aligned}
where x_m,x_s are the positions of the minimum and maximum, c,d are
constants and x is the position along the line. The distance between the minimum and maximum is r = |x_m-x_s|, obviously,
and the barrier height is B= N\frac c6 r^3. The factor of N comes from the fact
that at the barrier height is computed in the total free energy.
The second derivative at the minimum is λ := cr and -λ=-cr at the maximum.
The barrier height may hence also be expressed as
B = N\frac{λ^3}{6c^2}.
The expectation that the barrier height is finite for a finite band edge
means that λ \to \text{const.}>0 and B\to \text{const.}>0 as N\to\infty,
which implies c \sim N^{1/2} and consequently r \sim N^{-1/2}. Incidentally,
since r = |\sqrt{Nq_m} - \sqrt{Nq_s}| =
\sqrt{N}\frac{|q_m-q_s|}{\sqrt{q_m}+\sqrt{q_s}}, this means that q_m-q_s\sim N^{-1}.
This is assuming that the minimum-saddle pair lies on the straight line from the origin
in m-space to the minimum, and q_m and q_s are the values of q at the minimum and maximum, respectively.
On the other hand, if a vanishing band gap is to have a large barrier height,
e.g. B\sim N^{1/3}, then λ \to 0 and B \to\infty as N\to\infty.
This means that the behaviour of both c and r must be different from the
finite band edge case. One possibility
could be (just guessing here, of course) c\sim N^{-1/6} and r \sim N^{-1/6}.
Somehow this doesn’t feel right to me. Perhaps a cubic equation is not flexible enough. For example, it restricts the minimum and saddle to have the same second derivative, apart from the sign. But a more flexible function will very likely be too flexible such that no new insight can be obtained.
Update: A more sensible combination for the vanishing band edge case would be
c\sim N^{-2/3} and r=\mathcal O(1). That would agree with λ going to 0
as N^{-2/3}, as we now seem to believe. It would also give rise to
q_m-q_s\sim N^{-1/2}. Maybe the N-dependence of q_m-q_s could be
measured, and a difference between vanishing and nonvanishing band edge cases
be established.
Update 4 Feb 2019: I now realized c\sim N^{-2/3} and r=\mathcal O(1) is
in fact enforced by the relation B = N\frac{λ^3}{6c^2} and the assumptions λ
\sim N^{-2/3} and B\sim N^{1/3}.
Update 5 Feb 2019: This whole cubic approximation is built on the assumption that
the minimum \mathbf m_m and the saddle \mathbf m_s are connected by
the softest eigenvector \mathbf e, i.e.
\begin{aligned}
\mathbf m_m - \mathbf m_s &= r\mathbf e.
\end{aligned}
Multiply this by \mathbf m_m to obtain
\begin{aligned}
r(\mathbf e,\mathbf m_m) &= N q_m - (\mathbf m_s,\mathbf m_m) \\
&= N q_m - (\mathbf m_s,\mathbf m_s + \mathbf m_m - \mathbf m_s) \\
&= N q_m - N q_s - (\mathbf m_s, r\mathbf e)
\end{aligned}
or
\begin{aligned}
r(\mathbf e,\mathbf m_m+\mathbf m_s) &= N q_m - N q_s.
\end{aligned}
Figure 41, which I sent some time ago, seemed to show that
(\mathbf e,\mathbf m_m) = \text{const.}\times ||\mathbf m_m|| N^{-1/6}
= \text{const.}\times \sqrt{q_m} N^{1/3}. It
appears reasonable to expect the
same for (\mathbf e,\mathbf m_s). Collecting, we get
\begin{aligned}
\text{const.}\times N^{-2/3}r(\sqrt{q_m}+\sqrt{q_s}) &=
q_m - q_s.
\end{aligned}