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In
differential geometry Differential geometry is a Mathematics, mathematical discipline that studies the geometry of smooth shapes and smooth spaces, otherwise known as smooth manifolds. It uses the techniques of Calculus, single variable calculus, vector calculus, lin ...
, the cotangent space is a
vector space In mathematics and physics, a vector space (also called a linear space) is a set (mathematics), set whose elements, often called vector (mathematics and physics), ''vectors'', can be added together and multiplied ("scaled") by numbers called sc ...
associated with a point x on a smooth (or differentiable) manifold \mathcal M; one can define a cotangent space for every point on a smooth manifold. Typically, the cotangent space, T^*_x\!\mathcal M is defined as the
dual space In mathematics, any vector space ''V'' has a corresponding dual vector space (or just dual space for short) consisting of all linear forms on ''V,'' together with the vector space structure of pointwise addition and scalar multiplication by cons ...
of the
tangent space In mathematics, the tangent space of a manifold is a generalization of to curves in two-dimensional space and to surfaces in three-dimensional space in higher dimensions. In the context of physics the tangent space to a manifold at a point can be ...
at ''x'', T_x\mathcal M, although there are more direct definitions (see below). The elements of the cotangent space are called cotangent vectors or tangent covectors.


Properties

All cotangent spaces at points on a connected manifold have the same
dimension In physics and mathematics, the dimension of a mathematical space (or object) is informally defined as the minimum number of coordinates needed to specify any point within it. Thus, a line has a dimension of one (1D) because only one coo ...
, equal to the dimension of the manifold. All the cotangent spaces of a manifold can be "glued together" (i.e. unioned and endowed with a topology) to form a new differentiable manifold of twice the dimension, the
cotangent bundle In mathematics, especially differential geometry, the cotangent bundle of a smooth manifold is the vector bundle of all the cotangent spaces at every point in the manifold. It may be described also as the dual bundle to the tangent bundle. This m ...
of the manifold. The tangent space and the cotangent space at a point are both real vector spaces of the same dimension and therefore
isomorphic In mathematics, an isomorphism is a structure-preserving mapping or morphism between two structures of the same type that can be reversed by an inverse mapping. Two mathematical structures are isomorphic if an isomorphism exists between the ...
to each other via many possible isomorphisms. The introduction of a
Riemannian metric In differential geometry, a Riemannian manifold is a geometric space on which many geometric notions such as distance, angles, length, volume, and curvature are defined. Euclidean space, the N-sphere, n-sphere, hyperbolic space, and smooth surf ...
or a
symplectic form In mathematics, a symplectic vector space is a vector space V over a field F (for example the real numbers \mathbb) equipped with a symplectic bilinear form. A symplectic bilinear form is a mapping \omega : V \times V \to F that is ; Bilinear: ...
gives rise to a
natural isomorphism In category theory, a branch of mathematics, a natural transformation provides a way of transforming one functor into another while respecting the internal structure (i.e., the composition of morphisms) of the categories involved. Hence, a natura ...
between the tangent space and the cotangent space at a point, associating to any tangent covector a canonical tangent vector.


Formal definitions


Definition as linear functionals

Let \mathcal M be a smooth manifold and let x be a point in \mathcal M. Let T_x\mathcal M be the
tangent space In mathematics, the tangent space of a manifold is a generalization of to curves in two-dimensional space and to surfaces in three-dimensional space in higher dimensions. In the context of physics the tangent space to a manifold at a point can be ...
at x. Then the cotangent space at x is defined as the
dual space In mathematics, any vector space ''V'' has a corresponding dual vector space (or just dual space for short) consisting of all linear forms on ''V,'' together with the vector space structure of pointwise addition and scalar multiplication by cons ...
of :T^*_x\!\mathcal M = (T_x \mathcal M)^* Concretely, elements of the cotangent space are
linear functional In mathematics, a linear form (also known as a linear functional, a one-form, or a covector) is a linear mapIn some texts the roles are reversed and vectors are defined as linear maps from covectors to scalars from a vector space to its field of ...
s on T_x\mathcal M. That is, every element \alpha\in T^*_x\mathcal M is a
linear map In mathematics, and more specifically in linear algebra, a linear map (also called a linear mapping, linear transformation, vector space homomorphism, or in some contexts linear function) is a mapping V \to W between two vector spaces that p ...
:\alpha:T_x\mathcal M \to F where F is the underlying field of the vector space being considered, for example, the field of
real number In mathematics, a real number is a number that can be used to measure a continuous one- dimensional quantity such as a duration or temperature. Here, ''continuous'' means that pairs of values can have arbitrarily small differences. Every re ...
s. The elements of T^*_x\!\mathcal M are called cotangent vectors.


Alternative definition

In some cases, one might like to have a direct definition of the cotangent space without reference to the tangent space. Such a definition can be formulated in terms of
equivalence class In mathematics, when the elements of some set S have a notion of equivalence (formalized as an equivalence relation), then one may naturally split the set S into equivalence classes. These equivalence classes are constructed so that elements ...
es of smooth functions on \mathcal M. Informally, we will say that two smooth functions ''f'' and ''g'' are equivalent at a point x if they have the same first-order behavior near x, analogous to their linear Taylor polynomials; two functions ''f'' and ''g'' have the same first order behavior near x if and only if the derivative of the function ''f'' − ''g'' vanishes at x. The cotangent space will then consist of all the possible first-order behaviors of a function near x. Let \mathcal M be a smooth manifold and let x be a point in \mathcal M. Let I_xbe the ideal of all functions in C^\infty\! (\mathcal M) vanishing at x, and let I_x^2 be the set of functions of the form \sum_i f_i g_i, where f_i, g_i \in I_x. Then I_x and I_x^2 are both real vector spaces and the cotangent space can be defined as the quotient space T^*_x\!\mathcal M = I_x/I^2_x by showing that the two spaces are
isomorphic In mathematics, an isomorphism is a structure-preserving mapping or morphism between two structures of the same type that can be reversed by an inverse mapping. Two mathematical structures are isomorphic if an isomorphism exists between the ...
to each other. This formulation is analogous to the construction of the cotangent space to define the
Zariski tangent space In algebraic geometry, the Zariski tangent space is a construction that defines a tangent space at a point ''P'' on an algebraic variety ''V'' (and more generally). It does not use differential calculus, being based directly on abstract algebra, an ...
in algebraic geometry. The construction also generalizes to locally ringed spaces.


The differential of a function

Let M be a smooth manifold and let f\in C^\infty(M) be a
smooth function In mathematical analysis, the smoothness of a function is a property measured by the number of continuous derivatives (''differentiability class)'' it has over its domain. A function of class C^k is a function of smoothness at least ; t ...
. The differential of f at a point x is the map :\mathrm d f_x(X_x) = X_x(f) where X_x is a
tangent vector In mathematics, a tangent vector is a vector that is tangent to a curve or surface at a given point. Tangent vectors are described in the differential geometry of curves in the context of curves in R''n''. More generally, tangent vectors are ...
at x, thought of as a derivation. That is X(f)=\mathcal_Xf is the Lie derivative of f in the direction X, and one has \mathrm df(X)=X(f). Equivalently, we can think of tangent vectors as tangents to curves, and write :\mathrm d f_x(\gamma'(0))=(f\circ\gamma)'(0) In either case, \mathrm df_x is a linear map on T_xM and hence it is a tangent covector at x. We can then define the differential map \mathrm d:C^\infty(M)\to T_x^*(M) at a point x as the map which sends f to \mathrm df_x. Properties of the differential map include: # \mathrm d is a linear map: \mathrm d(af+bg)=a\mathrm df + b\mathrm dg for constants a and b, # \mathrm d(fg)_x=f(x)\mathrm dg_x+g(x)\mathrm df_x The differential map provides the link between the two alternate definitions of the cotangent space given above. Since for all f \in I^2_x there exist g_i, h_i \in I_x such that f=\sum_i g_i h_i, we have, \begin \mathrm d f_x & = & \sum_i \mathrm d (g_i h_i)_x \\ & = & \sum_i (g_i(x)\mathrm d(h_i)_x+\mathrm d(g_i)_x h_(x)) \\ & = & \sum_i (0\mathrm d(h_i)_x+\mathrm d(g_i)_x 0) \\ & = & 0 \end So that all function in I^2_x have differential zero, it follows that for every two functions f \in I^2_x, g \in I_x, we have \mathrm d (f+g)=\mathrm d (g). We can now construct an
isomorphism In mathematics, an isomorphism is a structure-preserving mapping or morphism between two structures of the same type that can be reversed by an inverse mapping. Two mathematical structures are isomorphic if an isomorphism exists between the ...
between T^*_x\!\mathcal M and I_x/I^2_x by sending linear maps \alpha to the corresponding cosets \alpha + I^2_x. Since there is a unique linear map for a given kernel and slope, this is an isomorphism, establishing the equivalence of the two definitions.


The pullback of a smooth map

Just as every differentiable map f:M\to N between manifolds induces a linear map (called the ''pushforward'' or ''derivative'') between the tangent spaces :f_^\colon T_x M \to T_ N every such map induces a linear map (called the ''
pullback In mathematics, a pullback is either of two different, but related processes: precomposition and fiber-product. Its dual is a pushforward. Precomposition Precomposition with a function probably provides the most elementary notion of pullback: ...
'') between the cotangent spaces, only this time in the reverse direction: :f^\colon T_^ N \to T_^ M . The pullback is naturally defined as the dual (or transpose) of the pushforward. Unraveling the definition, this means the following: :(f^\theta)(X_x) = \theta(f_^X_x) , where \theta\in T_^*N and X_x\in T_xM. Note carefully where everything lives. If we define tangent covectors in terms of equivalence classes of smooth maps vanishing at a point then the definition of the pullback is even more straightforward. Let g be a smooth function on N vanishing at f(x). Then the pullback of the covector determined by g (denoted \mathrm d g) is given by :f^\mathrm dg = \mathrm d(g \circ f). That is, it is the equivalence class of functions on M vanishing at x determined by g\circ f.


Exterior powers

The k-th
exterior power In mathematics, the exterior algebra or Grassmann algebra of a vector space V is an associative algebra that contains V, which has a product, called exterior product or wedge product and denoted with \wedge, such that v\wedge v=0 for every vector ...
of the cotangent space, denoted \Lambda^k(T_x^*\mathcal), is another important object in differential and algebraic geometry. Vectors in the k-th exterior power, or more precisely sections of the k-th exterior power of the
cotangent bundle In mathematics, especially differential geometry, the cotangent bundle of a smooth manifold is the vector bundle of all the cotangent spaces at every point in the manifold. It may be described also as the dual bundle to the tangent bundle. This m ...
, are called differential k-forms. They can be thought of as alternating,
multilinear map Multilinear may refer to: * Multilinear form, a type of mathematical function from a vector space to the underlying field * Multilinear map, a type of mathematical function between vector spaces * Multilinear algebra, a field of mathematics ...
s on k tangent vectors. For this reason, tangent covectors are frequently called '' one-forms''.


References

* * * * {{DEFAULTSORT:Cotangent Space Differential topology Tensors