# Atlases and charts

Atlases on an $n$-dimensional manifold $mathcal M$are collections of charts $\mathcal A = \{(U_i, Ο_i) \colon i \in I\}$, where $I$ is a (finite or infinte) index family, such that $U_i \subseteq \mathcal M$ is an open set and each chart $Ο_i: U_i β β^n$ is a homeomorphism. This means, that $Ο_i$ is bijective β sometimes also called one-to-one and onto - and continuous, and its inverse $Ο_i^{-1}$ is continuous as well. The inverse $Ο_i^{-1}$ is called (local) parametrization. The resulting *parameters* $a=Ο(p)$ of $p$ (with respect to the chart $Ο$) are in the literature also called β(local) coordinatesβ. To distinguish the parameter $a$ from `get_coordinates`

in a basis, we use the terminology parameter in this package.

For an atlas $\mathcal A$ we further require that

\[\displaystyle\bigcup_{i\in I} U_i = \mathcal M.\]

We say that $Ο_i$ is a chart about $p$, if $p\in U_i$. An atlas provides a connection between a manifold and the Euclidean space $β^n$, since locally, a chart about $p$ can be used to identify its neighborhood (as long as you stay in $U_i$) with a subset of a Euclidean space. Most manifolds we consider are smooth, i.e. any change of charts $Ο_i \circ Ο_j^{-1}: β^n β β^n$, where $i,j\in I$, is a smooth function. These changes of charts are also called transition maps.

Most operations on manifolds in `Manifolds.jl`

avoid operating in a chart through appropriate embeddings and formulas derived for particular manifolds, though atlases provide the most general way of working with manifolds. Compared to these approaches, using an atlas is often more technical and time-consuming. They are extensively used in metric-related functions on `MetricManifold`

s.

Atlases are represented by objects of subtypes of `AbstractAtlas`

. There are no type restrictions for indices of charts in atlases.

Operations using atlases and charts are available through the following functions:

`get_chart_index`

can be used to select an appropriate chart for the neighborhood of a given point $p$. This function should work deterministically, i.e. for a fixed $p$ always return the same chart.`get_parameters`

converts a point to its parameters with respect to the chart in a chart.`get_point`

converts parameters (local coordinates) in a chart to the point that corresponds to them.`induced_basis`

returns a basis of a given vector space at a point induced by a chart $Ο$.`transition_map`

converts coordinates of a point between two charts, e.g. computes $Ο_i\circ Ο_j^{-1}: β^n β β^n$, $i,j\in I$.

While an atlas could store charts as explicit functions, it is favourable, that the [`get_parameters`

] actually implements a chart $Ο$, `get_point`

its inverse, the prametrization $Ο^{-1}$.

`Manifolds.AbstractAtlas`

β Type`AbstractAtlas{π½}`

An abstract class for atlases whith charts that have values in the vector space `π½βΏ`

for some value of `n`

. `π½`

is a number system determined by an `AbstractNumbers`

object.

`Manifolds.InducedBasis`

β Type`InducedBasis(vs::VectorSpaceType, A::AbstractAtlas, i)`

The basis induced by chart with index `i`

from an `AbstractAtlas`

`A`

of vector space of type `vs`

.

For the `vs`

a `TangentSpace`

this works as follows:

Let $n$ denote the dimension of the manifold $\mathcal M$.

Let the parameter $a=Ο_i(p) β \mathbb R^n$ and $jβ\{1,β¦,n\}$. We can look at the $j$th parameter curve $b_j(t) = a + te_j$, where $e_j$ denotes the $j$th unit vector. Using the parametrisation we obtain a curve $c_j(t) = Ο_i^{-1}(b_j(t))$ which fulfills $c(0) = p$.

Now taking the derivative(s) with respect to $t$ (and evaluate at $t=0$), we obtain a tangent vector for each $j$ corresponding to an equivalence class of curves (having the same derivative) as

\[X_j = [c_j] = \frac{\mathrm{d}}{\mathrm{d}t} c_i(t) \Bigl|_{t=0}\]

and the set $\{X_1,\ldots,X_n\}$ is the chart-induced basis of $T_p\mathcal M$.

**See also**

`Manifolds.RetractionAtlas`

β Type```
RetractionAtlas{
π½,
TRetr<:AbstractRetractionMethod,
TInvRetr<:AbstractInverseRetractionMethod,
TBasis<:AbstractBasis,
} <: AbstractAtlas{π½}
```

An atlas indexed by points on a manifold, $\mathcal M = I$ and parameters (local coordinates) are given in $T_p\mathcal M$. This means that a chart $Ο_p = \mathrm{cord}\circ\mathrm{retr}_p^{-1}$ is only locally defined (around $p$), where $\mathrm{cord}$ is the decomposition of the tangent vector into coordinates with respect to the given basis of the tangent space, cf. `get_coordinates`

. The parametrization is given by $Ο_p^{-1}=\mathrm{retr}_p\circ\mathrm{vec}$, where $\mathrm{vec}$ turns the basis coordinates into a tangent vector, cf. `get_vector`

.

In short: The coordinates with respect to a basis are used together with a retraction as a parametrization.

**See also**

`AbstractAtlas`

, `AbstractInverseRetractionMethod`

, `AbstractRetractionMethod`

, `AbstractBasis`

`LinearAlgebra.norm`

β Method`norm(M::AbstractManifold, A::AbstractAtlas, i, a, Xc)`

Calculate norm on manifold `M`

at point with parameters `a`

in chart `i`

of an `AbstractAtlas`

`A`

of vector with coefficients `Xc`

in induced basis.

`Manifolds.affine_connection!`

β Method`affine_connection!(M::AbstractManifold, Zc, A::AbstractAtlas, i, a, Xc, Yc)`

Calculate affine connection on manifold `M`

at point with parameters `a`

in chart `i`

of an an `AbstractAtlas`

`A`

of vectors with coefficients `Zc`

and `Yc`

in induced basis and save the result in `Zc`

.

`Manifolds.affine_connection`

β Method`affine_connection(M::AbstractManifold, A::AbstractAtlas, i, a, Xc, Yc)`

Calculate affine connection on manifold `M`

at point with parameters `a`

in chart `i`

of `AbstractAtlas`

`A`

of vectors with coefficients `Xc`

and `Yc`

in induced basis.

`Manifolds.check_chart_switch`

β Method`check_chart_switch(M::AbstractManifold, A::AbstractAtlas, i, a)`

Determine whether chart should be switched when an operation in chart `i`

from an `AbstractAtlas`

`A`

reaches parameters `a`

in that chart.

By default `false`

is returned.

`Manifolds.get_chart_index`

β Method`get_chart_index(M::AbstractManifold, A::AbstractAtlas, i, a)`

Select a chart from an `AbstractAtlas`

`A`

for manifold `M`

that is suitable for representing the neighborhood of point with parametrization `a`

in chart `i`

. This selection should be deterministic, although different charts may be selected for arbitrarily close but distinct points.

**See also**

`Manifolds.get_chart_index`

β Method`get_chart_index(M::AbstractManifold, A::AbstractAtlas, p)`

Select a chart from an `AbstractAtlas`

`A`

for manifold `M`

that is suitable for representing the neighborhood of point `p`

. This selection should be deterministic, although different charts may be selected for arbitrarily close but distinct points.

**See also**

`Manifolds.get_default_atlas`

β Method`get_default_atlas(::AbstractManifold)`

Determine the default real-valued atlas for the given manifold.

`Manifolds.get_parameters`

β Method`get_parameters(M::AbstractManifold, A::AbstractAtlas, i, p)`

Calculate parameters (local coordinates) of point `p`

on manifold `M`

in chart from an `AbstractAtlas`

`A`

at index `i`

. This function is hence an implementation of the chart $Ο_i(p), i\in I$. The parameters are in the number system determined by `A`

. If the point $p\notin U_i$ is not in the domain of the chart, this method should throw an error.

**See also**

`Manifolds.get_point`

β Method`get_point(M::AbstractManifold, A::AbstractAtlas, i, a)`

Calculate point at parameters (local coordinates) `a`

on manifold `M`

in chart from an `AbstractAtlas`

`A`

at index `i`

. This function is hence an implementation of the inverse $Ο_i^{-1}(a), i\in I$ of a chart, also called a parametrization.

**See also**

`Manifolds.induced_basis`

β Method`induced_basis(M::AbstractManifold, A::AbstractAtlas, i, p, VST::VectorSpaceType)`

Basis of vector space of type `VST`

at point `p`

from manifold `M`

induced by chart (`A`

, `i`

).

**See also**

`Manifolds.induced_basis`

β Method`induced_basis(::AbstractManifold, A::AbstractAtlas, i, VST::VectorSpaceType = TangentSpaceType())`

Get the basis induced by chart with index `i`

from an `AbstractAtlas`

`A`

of vector space of type `vs`

. Returns an object of type `InducedBasis`

.

**See also**

`Manifolds.inverse_chart_injectivity_radius`

β Method`inverse_chart_injectivity_radius(M::AbstractManifold, A::AbstractAtlas, i)`

Injectivity radius of `get_point`

for chart `i`

from an `AbstractAtlas`

`A`

of a manifold `M`

.

`Manifolds.local_metric`

β Method`local_metric(M::AbstractManifold, p, B::InducedBasis)`

Compute the local metric tensor for vectors expressed in terms of coordinates in basis `B`

on manifold `M`

. The point `p`

is not checked.

`Manifolds.transition_map`

β Method```
transition_map(M::AbstractManifold, A_from::AbstractAtlas, i_from, A_to::AbstractAtlas, i_to, a)
transition_map(M::AbstractManifold, A::AbstractAtlas, i_from, i_to, a)
```

Given coordinates `a`

in chart `(A_from, i_from)`

of a point on manifold `M`

, returns coordinates of that point in chart `(A_to, i_to)`

. If `A_from`

and `A_to`

are equal, `A_to`

can be omitted.

Mathematically this function is the transition map or change of charts, but it might even be between two atlases $A_{\text{from}} = \{(U_i,Ο_i)\}_{i\in I}$ and $A_{\text{to}} = \{(V_j,\psi_j)\}_{j\in J}$, and hence $I, J$ are their index sets. We have $i_{\text{from}}\in I$, $i_{\text{to}}\in J$.

This method then computes

\[\bigl(\psi_{i_{\text{to}}}\circ Ο_{i_{\text{from}}}^{-1}\bigr)(a)\]

Note that, similarly to `get_parameters`

, this method should fail the same way if $V_{i_{\text{to}}}\cap U_{i_{\text{from}}}=\emptyset$.

**See also**

`Manifolds.transition_map_diff!`

β Method`transition_map_diff!(M::AbstractManifold, c_out, A::AbstractAtlas, i_from, a, c, i_to)`

Compute `transition_map_diff`

on given arguments and save the result in `c_out`

.

`Manifolds.transition_map_diff`

β Method`transition_map_diff(M::AbstractManifold, A::AbstractAtlas, i_from, a, c, i_to)`

Compute differential of transition map from chart `i_from`

to chart `i_to`

from an `AbstractAtlas`

`A`

on manifold `M`

at point with parameters `a`

on tangent vector with coordinates `c`

in the induced basis.

`ManifoldsBase.inner`

β Method`inner(M::AbstractManifold, A::AbstractAtlas, i, a, Xc, Yc)`

Calculate inner product on manifold `M`

at point with parameters `a`

in chart `i`

of an atlas `A`

of vectors with coefficients `Xc`

and `Yc`

in induced basis.

## Cotangent space and musical isomorphisms

Related to atlases, there is also support for the cotangent space and coefficients of cotangent vectors in bases of the cotangent space.

Functions `sharp`

and `flat`

implement musical isomorphisms for arbitrary vector bundles.

`Manifolds.RieszRepresenterCotangentVector`

β Type`RieszRepresenterCotangentVector(M::AbstractManifold, p, X)`

Cotangent vector in Riesz representer form on manifold `M`

at point `p`

with Riesz representer `X`

.

`Manifolds.flat`

β Method`flat(M::AbstractManifold, p, X)`

Compute the flat isomorphism (one of the musical isomorphisms) of tangent vector `X`

from the vector space of type `M`

at point `p`

from the underlying `AbstractManifold`

.

The function can be used for example to transform vectors from the tangent bundle to vectors from the cotangent bundle $β : T\mathcal M β T^{*}\mathcal M$

`Manifolds.sharp`

β Method`sharp(M::AbstractManifold, p, ΞΎ)`

Compute the sharp isomorphism (one of the musical isomorphisms) of vector `ΞΎ`

from the vector space `M`

at point `p`

from the underlying `AbstractManifold`

.

The function can be used for example to transform vectors from the cotangent bundle to vectors from the tangent bundle $β― : T^{*}\mathcal M β T\mathcal M$

## Computations in charts

`Manifolds.IntegratorTerminatorNearChartBoundary`

β Type`IntegratorTerminatorNearChartBoundary{TKwargs}`

An object for determining the point at which integration of a differential equation in a chart on a manifold should be terminated for the purpose of switching a chart.

The value stored in `check_chart_switch_kwargs`

will be passed as keyword arguments to `check_chart_switch`

. By default an empty tuple is stored.

`Manifolds.estimate_distance_from_bvp`

β Function```
estimate_distance_from_bvp(
M::AbstractManifold,
a1,
a2,
A::AbstractAtlas,
i;
solver=MIRK4(),
dt=0.05,
kwargs...,
)
```

Estimate distance between points on `AbstractManifold`

M with parameters `a1`

and `a2`

in chart `i`

of `AbstractAtlas`

`A`

using solver `solver`

, employing `solve_chart_log_bvp`

to solve the geodesic BVP.

`Manifolds.solve_chart_exp_ode`

β Function```
solve_chart_exp_ode(
M::AbstractManifold,
a,
Xc,
A::AbstractAtlas,
i0;
solver=AutoVern9(Rodas5()),
final_time=1.0,
check_chart_switch_kwargs=NamedTuple(),
kwargs...,
)
```

Solve geodesic ODE on a manifold `M`

from point of coordinates `a`

in chart `i0`

from an `AbstractAtlas`

`A`

in direction of coordinates `Xc`

in the induced basis.

`Manifolds.solve_chart_log_bvp`

β Function```
solve_chart_log_bvp(
M::AbstractManifold,
a1,
a2,
A::AbstractAtlas,
i;
solver=MIRK4(),
dt::Real=0.05,
kwargs...,
)
```

Solve the BVP corresponding to geodesic calculation on `AbstractManifold`

M, between points with parameters `a1`

and `a2`

in a chart `i`

of an `AbstractAtlas`

`A`

using solver `solver`

. Geodesic Ξ³ is sampled at time interval `dt`

, with Ξ³(0) = a1 and Ξ³(1) = a2.

`Manifolds.solve_chart_parallel_transport_ode`

β Function```
solve_chart_parallel_transport_ode(
M::AbstractManifold,
a,
Xc,
A::AbstractAtlas,
i0,
Yc;
solver=AutoVern9(Rodas5()),
check_chart_switch_kwargs=NamedTuple(),
final_time=1.0,
kwargs...,
)
```

Parallel transport vector with coordinates `Yc`

along geodesic on a manifold `M`

from point of coordinates `a`

in a chart `i0`

from an `AbstractAtlas`

`A`

in direction of coordinates `Xc`

in the induced basis.