Jets
It is time. Jets initially looked like scary objects because they’re so many of them, and whatnot. Turns out Jets are something like coordinate free Taylor expansions of fields (i.e. sections of vector bundles). We use them all the time in physics, even if we don’t explicitly call them out, and they can help us generalize the formalism of classical Lagrangian field theory to Hamiltonian field theory, and finally Quantum field theory.
This discussion follows:
- Natural Operations in Differential Geometry
- The Variation Bicomplex
- Introduction to smooth Manifolds
Motivation
Let’s do some quick motivation by introducing Taylor series in a completely new way. Consider the set of functions
. Since they are smooth they already admit a taylor series. Let’s define an equivalence relation on them.
Definition Given
we say that they are
-jet-equivalent at
or
, when their first
derivatives are equal. In other words
Notice that now at each point
we can associate a vector space of equivalence classes of
-jets. The reason why this would be a vector space is that every equivalence class is completely parameterized by
real numbers, the coefficients in the Taylor series of the representative. In other words, there is a 1-1 and onto correspondence with
-jets and the following polynomials
The natural next stepping point is to construct the
-jets, which is the equivalence relation where all the derivatives are equal which corresponds to the smooth functions with identical taylor series at a point. The interesting thing, is that if we put this vector space over each point, by picking a section of that, we would have chosen a value for all the derivatives of a function in a way that looks sort of independent of each other!
This should be reminiscent of how in Lagrangian mechanics we treat the field and its derivatives are independent variables, and eventually in phase space, we treat the position and momenta as such as well.
Constructions
We begin with the basic jet constructions on vector bundles. For more bundly stuff check this out.
Jet Equivalences
To define Jet bundles we will first introduce the
-jet as an equivalence relation of sections, and then we will define the r-jet of some section as an
Definition: Consider a fiber bundle
, then for every
let
be the set of all local smooth sections of
defined at
. Then two such sections
are
-jet equivalent at
if all their partial derivatives up to order
are equal. In other words
where
is some multiindex. The equivalence class of
is called a
-jet and it is denoted by
. Often we denote
. The set of all such equivalence classes for each point is the set of
-jets at
denoted by
. We denote the set of all
-jets as
And there we have the definition of a jet. The interesting thing is that this is in direct analogy to the motivation we carried out where the jets were essentially the Taylor series.
Bundle Structure
The other thing we need to show is that the set of
-jets is a bundle. This is not obvious so let’s give it some love for once and then never again.
Proposition: For
the map
between the sets of
-jets over a bundle
defined for any section
as
by dropping the rest of the components, is a smooth surjective submersion. Additionally, the map
is also a smooth surjective submersion. One has that
and
forming the following commutative diagrams
Proof: These maps are fiberwise linear projections.
Proposition: Let
be an open subset of
and
be a chart on
, where for any
we have that
for some
and
. Then
induces a chart
on
in the following way for any
we have that
for some multiindices
with
where the maps
are defined by
Proof: Work it out.
Corollary:
for some
is a vector bundle over
. In fact, any of the following are bundles
for
. This is known as the
-jet bundle of E.
Ok we all sort of knew that this would happen at some point, but the interesting thing we want to construct is the bundle
that contains all the full Taylor series as a fiber at each point. This is defined using limits Frechet spaces. Here is the definition.
Definition: The set
is a Frechet bundle over
with the smooth structure obtained by taking the following limit
where these arrows are given by the projections in the commutation diagram above.
Note: We don't really need to care about the exact structure of the infinite dimensional bundle, because in all applications in physics the maps that we will define on it, like Lagrangians and whatnot, will be zero for all but finitely many directions on each fiber. This is compatible with the product topology on the bundle and with the Frechet smooth structure. So we will only need to be careful when that isn't the case.
Contact Structure
Sections of the jet bundles we created are the perfect place to talk about treating the derivatives of a function as independent components. So when it comes to taking sections, we can get two different types. Ones where all the derivatives are perfectly aligned such that we obtain an actual section of
, and ones where the derivatives are a bit off. This division of the possible sections of a jet bundle is roughly its contact structure.
Distributions*
We formalize this using distributions on a manifold. These distributions are not defined in the algebraic sense, but rather as a collection of tangent spaces. We take a quick diversion to talk about them here.
Definition: Given a manifold
a distribution on
of rank
is a vector subbundle
of
with rank
. Such a distribution is called involutive if for any two sections of it, their Lie bracket is also a section of it.
Proposition: A distribution
is involutive iff
is a Lie subalgebra of
.
A cool property of distributions is that they can be integrated. Essentially construct a submanifold who's tangent space at each point is the distribution at that point.
Definition: Let
be a distribution on
. Then
is an integral of
if it is a manifold where the tangent space at each
is
. If
has an integral it is called integrable. If all the integrals of
form a foliation of
then
is called globally integrable.
Here is a pretty cool theorem.
Theorem: (Frobenius' Theorem) A distribution is globally integrable iff it is integrable iff it is involutive.
Another way to define distributions is using forms.
Lemma: Let
be a distribution of a manifold
of dimension
. Then for every point
there exists a neighborhood
on which there is a set of local 1-forms
such that
We say that this set of 1-forms annihilates
.
Using this lemma, one can construct a distribution by looking for sets of annihilation 1-forms. Which will be super interesting for what we want to do.
Ok so now we can play with the Cartan Distribution on Jet bundles.
Cartan Distribution
Now we have the intuition of what the contact structure of a Jet bundle should be, and what distributions over a manifold are. As a result, we will introduce the Cartan distribution to formalize this.
Definition: A section
of the jet bundle
of some bundle
is holomorphic if there exists some section
such that
.
Holomorphic sections what we would call a valid Taylor series, i.e. all the terms of the power series are derivatives of a single section.
Proposition: The collection of tangent planes to all the graphs of holomorphic sections of
is a distribution
called the Cartan Distribution.
Lemma: The Cartan distribution on
is of rank
and it is involutive. Otherwise the distribution of a finite rank Jet bundle is not involutive.
Contact Forms
It is often easier to talk about the Cartan distribution on some Jet bundle in terms of annihilation sets of forms.
Proposition: A 1-form
is an annihilator for the Cartan distribution iff it is annihilated by any holonomic
-jet. Or in other words for every
a contact form satsfies
In other words, contact 1-forms will measure how badly a particular jet fails to be holomorphic.
We could determine the contact forms in a local coordinate system
of
. Where
.
Example: The following forms
are contact forms for
, given by
where
is a multiindex. To see this consider any holomorphic section
.
Variational Bicomplex
This is why we introduced Jets! We will build a place where we can do variational stuff! To study this we will separate between horizontal and vertical vector fields.
Horizontal and Vertical Distributions
Vector fields and forms on a bundle over
can move you along the manifold, or the fibers, or both! Ones that move you along the manifold, are called Horizontal, and the ones that move you along the fibers are called vertical. Here is a definition.
Definition: Given any bundle
over
, a vertical vector field
is such that
. A form
is horizontal if there exist forms
and smooth functions
such that
.
Their intuition is governed by exactly what we said before.
Proposition: The span of the horizontal vector fields form a distribution
called the vertical tangent bundle. Similarly an orthogonal distribution
given by some Ehresmann connection is called a horizontal tangent bundle and we have that
.
More specifically, we can now define a vertical form.
Definition: A vertical form on
is an annihilator of the horizontal tangent bundle.
Corollary: The set of forms of oder
can be decomposed into subspaces
where each form in that subspace is given by the wedge product of
horizontal one forms, and
vertical ones. More precisely,
Definition: For any form
we call
its horizontal degree and
its vertical degree.
Horizontal and Vertical Differentials
We can do a similar thing with the differential operators.
Definition: The vertical differential
on some bundle
is the antiderivation on
such that
, where
is the De Rham differential on
, and
, is the projection to the vertical subspace.
Proposition: In a local coordinate chart
the vertical differential of a function
is given by
Definition: The horizontal differential
on some bundle
is the antiderivation on
such that
, where
is the De Rham differential on
, and
, is the projection to the horizontal subspace.
Proposition: In a local coordinate chart
the horizontal differential of a function
is given by
Notice that the coordinate chart for the horizontal differential might not be independent of the base manifold coordinates, that's why we get the extra terms.
Definition
Consider a bundle
and its jet bundle
. In this setting there are a canonical evaluation maps
and
Similarly, we have the jet prolongation map
the corresponding jet. With this, we can induce a smooth map
Or more precisely
. Therefore, one can consider the forms on the product
usually denoted as
which is graded with respect to the degree of the forms on each factor. Similarly one can create the total differential
, the sum of the differentials in the two factors respectively. We call
the vertical differential and
the vertical or variational differential.
Definition: The variational bicomplex is the image of the pullback under
of the set set of all the forms on the bundle
. Or more precisely the variation bicomplex is the set
which is thought of as the local forms on the sections of
.
This might look like a complicated construction, but basically it is forms that live on a space where each point is a section over that space and a point. This is how we usually define the Lagrangian!
However, we could think of it in an alternative by characterizing the jet bundle.
Definition: The horizontal differential
on
is the antiderivation, with respect to the wedge product, such that for any
Proposition: Given a coordinate chart
where
and a smooth function
the horizontal differential acts as
Therefore in this bundle we have that
Proposition: A horizontal differential form
is a bundle homomorphism
Similarly the vector fields can be regarded as horizontal and vertical as we have shown in the previous paragraph. As a result, we can also interpret the local and vertical differentials on
.