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Invariant factorization of LPDOs

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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

Invariant Formulation

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

and its transpose is factorizable then as

Discussion

Notes

  1. ^ R. Beals, E. Kartashova. Constructively factoring linear partial differential operators in two variables. Theor. Math. Phys. 145(2), pp. 1510-1523 (2005)
  2. ^ 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
  3. ^ E. Kartashova. A Hierarchy of Generalized Invariants for Linear Partial Differential Operators. Theor. Math. Phys. 147(3), pp. 839-846 (2006)
  4. ^ 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