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Integrability conditions for differential systems

From Wikipedia, the free encyclopedia

In mathematics, certain systems of partial differential equations are usefully formulated, from the point of view of their underlying geometric and algebraic structure, in terms of a system of differential forms. The idea is to take advantage of the way a differential form restricts to a submanifold, and the fact that this restriction is compatible with the exterior derivative. This is one possible approach to certain over-determined systems, for example, including Lax pairs of integrable systems. A Pfaffian system is specified by 1-forms alone, but the theory includes other types of example of differential system. To elaborate, a Pfaffian system is a set of 1-forms on a smooth manifold (which one sets equal to 0 to find solutions to the system).

Given a collection of differential 1-forms on an -dimensional manifold , an integral manifold is an immersed (not necessarily embedded) submanifold whose tangent space at every point is annihilated by (the pullback of) each .

A maximal integral manifold is an immersed (not necessarily embedded) submanifold

such that the kernel of the restriction map on forms

is spanned by the at every point of . If in addition the are linearly independent, then is ()-dimensional.

A Pfaffian system is said to be completely integrable if admits a foliation by maximal integral manifolds. (Note that the foliation need not be regular; i.e. the leaves of the foliation might not be embedded submanifolds.)

An integrability condition is a condition on the to guarantee that there will be integral submanifolds of sufficiently high dimension.

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Transcription

Suppose I come up with a differential equation: dy/dx = f (x,y) which is a perfect model for a system I'm trying to study and I have an initial-value, I know an initial state and I want to try to make a prediction by solving an initial-value problem. Now it would be pretty silly for me to study this problem if first of all, I didn't know that any solutions existed. I would spend a long time looking for solutions that don't exist. Second of all, if I didn't know that a solution to this initial-value problem was unique then it would be pretty silly for me to try to 'predict' something because my prediction would be meaningless: it would depend on which one of the many solutions I had chosen to make the prediction. So 'existence' and 'uniqueness' of solutions is an important thing to study in order to both solve problems and make predictions. The main question is this: if I have an initial-value problem like this. " When does a solution to the initial-value problem exist? " and " If it exists, is it a unique solution? " Fortunately we have easily testable, sufficient conditions that will tell us 'when' a solution exists and 'when' it is unique. First of all " if f is continuous 'near' the point (a,b) " " then a solution exists. " Remember f here is the right-hand side, defining the ordinary differential equation 'f' is a function of two variables 'x' and 'y' and we require that it be continuous near the point '(a,b)' which is the point I'm trying to get the solution to pass through in order to satisfy the initial-value. What does this look like? I have a point in the x-y plane: that's the point (a,b). So here it is, right there, this little 'orange' dot. Near (a,b) is some sort of 'area', some blob, some 'neighborhood' around that point, and I need the function f to be continuous inside that blob. Now if that's satisfied then I know that, even for just a little.. ..maybe just a for a tiny little section, I can draw my solution through that point (a,b). Now, what about 'uniqueness'? Who says I can't draw many 'little solutions' through that point (a,b)? Well, I need another hypothesis to guarantee uniqueness: if (also) the partial derivative of f with respect to y is continuous near (a,b) then the solution will be unique. So I have to check not only ..that f is continuous..but also (if I want to have uniqueness) that the partial derivative of f with respect y is continuous. I'd like to point out two subtle aspects of this discussion so far: The first is: the guarantee of 'existence' and 'uniqueness' is only 'near' (a,b). In other words I know the solution exists but I don't know how 'big' the solution [will become]: I only know that it exists for a little 'while' just around at the point (a,b). Also the uniqueness is only guaranteed near (a,b): there's nothing to say that the solution won't be unique for a while and then will split into multiple pieces somewhere else. The second subtle thing is that this is not an 'if and only if' [<=>] theorem. These conditions are not necessary for existence and uniqueness. So there's nothing to say that even if f is not continuous and even if 'partial f / partial y' is not continuous I still may have existence and uniqueness.

Necessary and sufficient conditions

The necessary and sufficient conditions for complete integrability of a Pfaffian system are given by the Frobenius theorem. One version states that if the ideal algebraically generated by the collection of αi inside the ring Ω(M) is differentially closed, in other words

then the system admits a foliation by maximal integral manifolds. (The converse is obvious from the definitions.)

Example of a non-integrable system

Not every Pfaffian system is completely integrable in the Frobenius sense. For example, consider the following one-form on R3 − (0,0,0):

If were in the ideal generated by θ we would have, by the skewness of the wedge product

But a direct calculation gives

which is a nonzero multiple of the standard volume form on R3. Therefore, there are no two-dimensional leaves, and the system is not completely integrable.

On the other hand, for the curve defined by

then θ defined as above is 0, and hence the curve is easily verified to be a solution (i.e. an integral curve) for the above Pfaffian system for any nonzero constant c.

Examples of applications

In Riemannian geometry, we may consider the problem of finding an orthogonal coframe θi, i.e., a collection of 1-forms forming a basis of the cotangent space at every point with which are closed (dθi = 0, i = 1, 2, ..., n). By the Poincaré lemma, the θi locally will have the form dxi for some functions xi on the manifold, and thus provide an isometry of an open subset of M with an open subset of Rn. Such a manifold is called locally flat.

This problem reduces to a question on the coframe bundle of M. Suppose we had such a closed coframe

If we had another coframe , then the two coframes would be related by an orthogonal transformation

If the connection 1-form is ω, then we have

On the other hand,

But is the Maurer–Cartan form for the orthogonal group. Therefore, it obeys the structural equation and this is just the curvature of M: After an application of the Frobenius theorem, one concludes that a manifold M is locally flat if and only if its curvature vanishes.

Generalizations

Many generalizations exist to integrability conditions on differential systems which are not necessarily generated by one-forms. The most famous of these are the Cartan–Kähler theorem, which only works for real analytic differential systems, and the Cartan–Kuranishi prolongation theorem. See Further reading for details. The Newlander-Nirenberg theorem gives integrability conditions for an almost-complex structure.

Further reading

  • Bryant, Chern, Gardner, Goldschmidt, Griffiths, Exterior Differential Systems, Mathematical Sciences Research Institute Publications, Springer-Verlag, ISBN 0-387-97411-3
  • Olver, P., Equivalence, Invariants, and Symmetry, Cambridge, ISBN 0-521-47811-1
  • Ivey, T., Landsberg, J.M., Cartan for Beginners: Differential Geometry via Moving Frames and Exterior Differential Systems, American Mathematical Society, ISBN 0-8218-3375-8
  • Dunajski, M., Solitons, Instantons and Twistors, Oxford University Press, ISBN 978-0-19-857063-9
This page was last edited on 12 January 2021, at 12:06
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