177
where
w(y)
satisfies
(1.8)
with p
=
2.
We have that
B
-
3S,
and that
as
B-+O
3
11B2
2
48
’
y
=
VOVO
-
-
-
-
(5.57b)
Alternatively, as
y
+
0
from above, the solution
V
has two bumps. This
behavior,
as
derived in Proposition 4.2 of [57] is characterized
as
follows:
Proposition
5.12.
Let
6
=
1/Uo
<<
1.
Then, along the secondary branch,
the core problem
(5.49)
has a solution where
y
5
UOVO
+
0
from above as
S
+
0.
This solution has the
form
(5.58a)
where w(y) satisfies
(1.8)
when p
=
2.
We have that
B
-
66
as
6
4
0,
and
UoVo
-
hB/&,
y1
-
-log
B
+
O(1),
as
B
-+
0.
(5.58b)
The existence of multi-bump solutions to the core problem along the
secondary branch is closely related to a similar multi-bump phenomena for
the modified version (2.45) of Carrier’s problem, as discussed in Sec. 2.4.
Question
5.3.
Can one determine rigorous properties of multi-bump
so-
lutions to the core problem and of the
B
=
B(y) bifurcation curve?
In
particular, can we prove the existence of a saddle-node bifurcation and
determine analytical bounds for
the
saddle-node value?
5.3.
Stability
of
Multi-Spike Equilibria: One Dimension
In this subsection we give some results for the stability of symmetric k-spike
patterns for the
GS
model (1.5) in the low feed-rate regime and the
GM
model (1.1). For each of these models, there are two types of eigenvalues in
the spectrum of the linearization. There are eigenvalues that are
0(1)
as
E
-+
0,
referred to as the
large
eigenvalues, and eigenvalues of order
O(E’),
referred to
as
the
small
eigenvalues. The large eigenvalues are associated
with the initiation of profile instabilities, whereby the spike amplitudes will
either oscillate, typically with a common frequency and phase, or else un-
dergo
a
competition instability leading to the monotonic annihilation of
spikes in a spike sequence. Alternatively, the small eigenvalues of order