3.10 Further development 101
physics, but they may also shed new light on the negative results of experi-
ments searching for quantum nonlinearity.
Applications to the dyna mics of biological molecules appear in a well-
illustrated article [19] with some more refere n ces therein.
3.10 Further development. Definition and application
of compound elementary DT
In this section we combine the structures of the classical and elementary DTs,
preserving the main ideas of the method: the intertwining relation that leads
to incorporation of dressing and the assumption of the existence of a nonzero
kernel of the transformation operator.
3.10.1 Definition of compound elementary DT
The general extensions of the DT definition are described in Sect. 3 .1. Here we
study the case when a degenerate operator (idempotent projector) stands for
the operator of a derivative. Such a transformation was introduced in [278];
we will name it the compound eDT. We restrict ourselves to the example of
a differential equation of the second order with 2 ×2 matrix co efficients (gen-
eralizations are produced as in Sects. 3.2–3.5). Let us consider the equation
Φ
xx
+ FΦ
x
+ UΦ = λσ
3
Φ, (3.117)
where the spectral parameter is λ and the vector Φ =(ϕ
1
,ϕ
2
)
T
is a solution.
The matrix potentials are U = {u
ij
}, F = {f
ij
,f
ii
=0}, i =1, 2andσ
3
is
the Pauli matrix.
Following [200], we perform the compound eDT for the differential equa-
tion (3.117) as
Φ[1] = PΦ
x
+ KΦ , (3.118)
where P
2
= P is a projection operator, say, P =
10
00
. The matrix
K =
k
11
k
12
k
21
1
represents a matrix potential function, which is defined by
the corresponding intertwining relation and the auxiliary condition of exis-
tence of a nonzero kernel
∃Ψ : PΨ
x
+ KΨ =0. (3.119)
On the right-hand side of (3.118) we see a combination of the differentiation
with respect to x as in the classical DT (Chap. 2) and of the projector P
intrinsically related to the eDT, the central notion of this chapter (Sect. 3.1).
The condition (3.119) implements the auxiliary solutions in the transformation
and is necessary when the iterative Crum-like formulas are derived [278].