
ence, and medical imaging. For instance, in seis-
mic exploration, tomography, and ultrasound imag-
ing, these properties allow researchers to optimize
phase selection, facilitating the most effective inter-
pretation of measurement results. This strategic phase
manipulation ensures clearer insights into subsurface
structures, tissue composition, and fluid dynamics,
with the flexibility to seamlessly transition back to the
original coordinate system post-interpretation.
Overall, this interdisciplinary synergy underscores
the profound impact of fundamental theoretical re-
search on advancing practical applications across di-
verse scientific domains. By uncovering new in-
variants and properties of the Schrödinger equation,
this study not only contributes to our theoretical un-
derstanding of quantum mechanics but also paves
the way for innovative solutions to real-world chal-
lenges, pushing the boundaries of human knowledge
and technological capabilities. We show how the
Poincaré–Riemann–Hilbert boundary-value problem
enables us to construct effective estimates of the po-
tential in the Schrödinger equation. The apparatus
of the three-dimensional inverse problem of quantum
scattering theory is developed for this. It is shown
that the unitary scattering operator can be studied as a
solution of the Poincaré–Riemann–Hilbert boundary-
value problem. This allows us to go on to study
the potential in the Schrödinger equation This study
delves into the Schrödinger equation’s new invariants,
shedding light on their crucial implications for theo-
retical physics and beyond. Specifically, it explores
the behavior of scattering amplitudes and bound states
concerning the choice of coordinate systems. The re-
search unveils that while the energy of bound states
remains invariant under coordinate transformations,
the phase of scattering amplitudes undergoes varia-
tions, underscoring its pivotal role in theories reliant
on phase normalization.
Moreover, these findings have played a pivotal
role in constructing estimates for three-dimensional
Navier-Stokes equations, enhancing our ability to
model complex fluid dynamics with greater precision
and reliability. Additionally, in seismic exploration,
tomography, and ultrasound imaging, these properties
allow researchers to optimize phase selection, facil-
itating the most effective interpretation of measure-
ment results. This strategic phase manipulation en-
sures clearer insights into subsurface structures, tis-
sue composition, and fluid dynamics, with the flexi-
bility to seamlessly transition back to the original co-
ordinate system post-interpretation. This interdisci-
plinary synergy underscores the profound impact of
fundamental theoretical research on advancing prac-
tical applications across diverse scientific domains
2 Problem Formulation
Let us consider a one-dimensional function fand its
Fourier transformation ˜
f. Using the notions of mod-
ule and phase, we write the Fourier transformation
in the following form: ˜
f=|˜
f|exp(iΦ) , where
Φis the phase. The Plancherel equality states that
||f||L2=const|| ˜
f||L2. Here we can see that the phase
does not contribute to determination of the Xnorm.
To estimate the maximum we make a simple estimate
as max|f|2≤2||f||L2||∇f||L2. Now we have an es-
timate of the function maximum in which the phase is
not involved. Let us consider the behaviour of a pro-
gressing wave travelling with a constant velocity of
v=adescribed by the function F(x, t) = f(x+at).
Its Fourier transformation with respect to the variable
xis ˜
F=˜
fexp(iatk). Again, in this case, we can see
that when we study a module of the Fourier transfor-
mation, we will not obtain major physical information
about the wave, such as its velocity and location of the
wave crest because |˜
F|=|˜
f|. These two examples
show the weaknesses of studying the Fourier trans-
formation. Many researchers focus on the study of
functions using the embedding theorem, in which the
main object of the study is the module of the func-
tion. However, as we have seen in the given exam-
ples, the phase is a principal physical characteristic of
any process, and as we can see in mathematical stud-
ies that use the embedding theorem with energy es-
timates, the phase disappears. Along with the phase,
all reasonable information about the physical process
disappears, as demonstrated by Tao [1] and other re-
search studies. In fact, Tao built progressing waves
that are not followed by energy estimates . Let us pro-
ceed with a more essential analysis of the influence of
the phase on the behaviour of functions.
theorem 1. There are functions of W1
2(R)with a con-
stant rate of the norm for a gradient catastrophe for
which a phase change of its Fourier transformation
is sufficient.
Proof: To prove this, we consider a sequence of
testing functions ˜
fn= ∆/(1 + k2),∆ = (i−
k)n/(i+k)n.
It is obvious that |˜
fn|= 1/(1 + k2)and max|fn|2≤
2||fn||L2||∇fn||L2≤const. Calculating the Fourier
transformation of these testing functions, we obtain
fn(x) =
x(−1)(n−1)2πexp(−x)L1
(n−1)(2x)
as x > 0, fn(x) = 0 as x ≤0,(1)
where L1
(n−1)(2x)is a Laguerre polynomial. Now we
see that the functions are equibounded and derivatives
of these functions will grow with the growth of n.
International Journal on Applied Physics and Engineering
DOI: 10.37394/232030.2024.3.5