Introduction
Factorization of linear ordinary differential operators (LODOs) is known to be unique and
in general, it finally reduces to the solution of a Riccati equation, i.e. factorization of LODOs is not a constructive procedure.
On the other hand, factorization of linear partial differential operators (LPDOs) though not even unique, can be performed constructively using Beals-Kartashova factorization procedure (BK-factorization). BK-factorization[1] is an explicit algorithm for absolute factorization of a bivariate LPDO of arbitrary order
into linear factors. The word absolute means that the coefficient field is not fixed from the very beginning and that the only demand on the coefficients is that they be smooth, i.e. they belong to an appropriate differential field.
BK-factorization is the procedure to find a first order left factor (when possible) in contrast to the use of right factorization, which is common in the papers of last few decades. Of course the existence of a certain right factor of a LPDO is
equivalent to the existence of a corresponding left factor of the transpose of that operator[2] (see below), so in principle nothing is lost by considering left factorization. Moreover taking transposes is trivial algebraically, so there is also nothing lost from the point of view of algorithmic computation.
BK-factorization allows also to factorize simultaneously the families of the LPDOs equivalent under the action of the gauge transformations[3] and to construct the families of the LPDOs corresponding to integrable LPDEs[4].
Beals-Kartashova Factorization
Operator of order 2
Consider an operator

with smooth coefficients and look for a factorization

Let us write down the equations on
explicitly, keeping in
mind the rule of left composition, i.e. that

Then in all cases






where the notation
is used.
Without loss of generality,
i.e.
and it can be taken as 1,
Now solution of the system of 6 equations on the variables

can be found in three steps.
At the first step, the roots of a quadratic polynomial have to be found.
At the second step, a linear system of two algebraic equations has to be solved.
At the third step, one algebraic condition has to be checked.
Step 1.
Variables

can be found from the first three equations,



The (possible) solutions are then the functions of the roots of a quadratic polynomial:

Let
be a root of the polynomial
then




Step 2.
Substitution of the results obtained at the first step, into the next two equations


yields linear system of two algebraic equations:


In particularly, if the root
is simple,
i.e.
then these
equations have the unique solution:


At this step, for each
root of the polynomial
a corresponding set of coefficients
is computed computed.
Step 3.
Check factorization condition (which is the last of the initial 6 equations

written in the known variables
and
):

If

the operator
is factorizable and explicit form for the factorization coefficients
is given above.
Operator of order 3
Consider an operator

with smooth coefficients and look for a factorization

Similar to the case of the operator
the conditions of factorization are described by the following system:










with
Operator of order 
Definition The operators
,
are called
equivalent if there is a gauge transformation that takes one to the
other:

BK-factorization is then pure algebraic procedure which allows to to
construct explicitly a factorization of an arbitrary order LPDO
in the form

with first-order operator
where
is an arbitrary simple root of the characteristic polynomial (also called symbol of operator)

Factorization is possible then for each simple root
iff
for
for
for
and so on. All functions
are explicit functions of
and
.
Theorem All
are nvariants
under gauge transformations.
Definition Invariants
are
called generalized invariants of a bivariate operator of arbitrary
order.
In particular case of the bivariate hyperbolic operator its generalized
invariants coincide with Laplace invariants (see Laplace invariant).
Corollary If an operator
is factorizable, then all
operators equivalent to it, are also factorizable.
Equivalent operators are easy to compute:


and so on. Some example are given below:




Transpose
Factorization of an operator is the first step on the way of solving corresponding equation. But for solution we need right factors and BK-factorization constructs left factors which are easy to construct. On the other hand, the existence of a certain right factor of a LPDO is equivalent to the existence of a corresponding left factor of the transpose of that operator.
Definition
The transpose
of an operator
is defined as
and the identity
implies that
Now the coefficients are
with a standard convention for binomial coefficients in several
variables (see Binomial coefficient), e.g. in two variables

In particular, for the operator
the coefficients are

For instance, the operator

is factorizable as
![{\displaystyle {\big [}\partial _{x}+\partial _{y}+{\tfrac {1}{2}}(y-x){\big ]}\,{\big [}...{\big ]}}](/media/api/rest_v1/media/math/render/svg/d255ce024a21156fe87b8c4ec1dbf90e66adb7f3)
and its transpose
is factorizable then as
Discussion
Notes
- ^ R. Beals, E. Kartashova. Constructively factoring linear partial differential operators in two variables. Theor. Math. Phys. 145(2), pp. 1510-1523 (2005)
- ^ E. Kartashova, O. Rudenko. Invariant Form of BK-factorization and its Applications.
Proc. GIFT-2006, pp.225-241, Eds.: J. Calmet, R. W. Tucker, Karlsruhe University Press (2006); arXiv
- ^ E. Kartashova. A Hierarchy of Generalized Invariants for Linear Partial Differential Operators. Theor. Math. Phys. 147(3), pp. 839-846 (2006)
- ^ E. Kartashova. BK-factorization and Darboux-Laplace transformations. Proc. CSC'05, pp. 144-150, Ed.: H. R. Arabnia, CSREA Press (2005) / RISC publications
References
- E. Kartashova. BK-factorization and Darboux-Laplace transformations. Proc. CSC'05, pp. 144-150, Ed.: H. R. Arabnia, CSREA Press (2005) / RISC publications
- E. Kartashova, O. Rudenko. Invariant Form of BK-factorization and its Applications.
Proc. GIFT-2006, pp.225-241, Eds.: J. Calmet, R. W. Tucker, Karlsruhe University Press (2006); arXiv
See also