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In Mathematics a vector field is a construction in Vector Calculus which associates a Vector to every point in a Euclidean Space .

Vector fields are often used in Physics to model for example the speed and direction of a moving fluid throughout space, or the strength and direction of some Force , such as the Magnetic or Gravitational force, as it changes from point to point.

In the rigorous mathematical treatment, (tangent) vector fields are defined on Manifold s as Section s of the Manifold 's Tangent Bundle .


DEFINITION


Given a subset ''S'' in R''n'' a '''vector field''' is represented by a vector-valued function
V: S o \mathbf{R}^n
in standard Euclidean coordinates (''x''1, ..., ''x''''n''). If there is another coordinate system ''y'', then
V_y := rac{\partial x}{\partial y} V
is the expression for the same vector field in the new coordinates. In particular a vector field is not a bunch of scalar fields.

We say ''V'' is a C''k'' vector field if ''V'' is ''k'' times Continuously Differentiable . A point ''p'' in ''S'' is called stationary if the vector at that point is zero
(V(p) = 0).

A vector field can be visualized as a ''n''-dimensional space with a ''n''-dimensional vector attached to each point.
Given two C''k''-vector fields ''V'', ''W'' defined on ''S'' and a real valued C''k''-function ''f'' defined on ''S'', the two operations scalar multiplication and vector addition

: (fV)(p) := f(p)V(p)

: (V+W)(p) := V(p) + W(p)

define the Module of C''k''-vector fields over the Ring of C''k''-functions.


NOTES


Vector fields should be compared to Scalar Field s, which associate a number or ''scalar'' to every point in space (or every point of some manifold).

The Divergence and Curl are two operations on a vector field which result in a scalar field and another vector field respectively. The first of these operations is defined in any number of dimensions (that is, for any value of ''n''). The curl however, is defined only for ''n''=3, but it can be generalized to an arbitrary dimension using the Exterior Product and Exterior Derivative .


EXAMPLES


  • A vector field for the movement of air on Earth will associate for every point on the surface of the Earth a vector with the wind speed and direction for that point. This can be drawn using arrows to represent the wind; the length ( Magnitude ) of the arrow will be an indication of the wind speed. A "high" on the usual Barometric Pressure map would then act as a source (arrows pointing away), and a "low" would be a sink (arrows pointing towards), since air tends to move from high pressure areas to low pressure areas.

  • Velocity field of a moving Fluid . In this case, a Velocity vector is associated to each point in the fluid.

  • There are 3 types of lines that can be made from vector fields. They are :

    • :: Streakline s — as revealed in Wind Tunnel s using smoke.

:: Streamline s (or Fieldline s)— as a line depicting the instantaneous field at a given time.
:: Pathline s — showing the path that a given particle (of zero mass) would follow.



Gradient field


Vector fields can be constructed out of Scalar Field s using the vector operator Gradient which gives rise to the following definition.

A vector field ''V'' over ''S'' is called a gradient field or a '''conservative field''' if there exists a real valued function ''f'' on ''X''(a scalar field) such that
V =
abla f.

The path integral along any closed curve γ (γ(0) = γ(1)) in a gradient field is zero.
: \int_\gamma \langle V(x), \mathrm{d}x angle = \int_\gamma \langle
abla f(x), \mathrm{d}x angle = f((\gamma)(1)) - f((\gamma)(0))


Central field


A ''C''∞-vector field over R''n'' \ {0} is called a '''central field''' if

:V(T(p)) = T(V(p)) \qquad (T \in \mathrm{O}(n, \mathbf{R}))

where O(''n'', R) is the Orthogonal Group . We say central fields are Invariant under Orthogonal Transformations around 0.

The point 0 is called the center of the field.

Since orthogonal transformations are actually rotations and reflections, the invariance conditions mean that vectors of a central field are always directed towards, or away from, 0; this is an alternate (and simpler) definition.
A central field is always a gradient field, since defining it on one semiaxis and integrating gives an antigradient.


CURVE INTEGRAL


A common technique in physics is to integrate a vector field along a . Given a particle in a gravitational vector field, where each vector represents the force acting on the particle at this point in space, the curve integral is the work done on the particle when it travels along a certain path.

The curve integral is constructed analogously to the Riemann Integral and it exists if the curve is rectifiable (has finite length) and the vector field is continuous.

Given a vector field ''V'' and a curve γ parametrized by 1 the curve integral is defined as

:\int_\gamma \langle V(x), \mathrm{d}x angle = \int_0^1 \langle V(\gamma(t)), \gamma'(t)\;\mathrm{d}t angle




FLOW CURVES


Vector fields have a nice interpretation in terms of autonomous, first order Ordinary Differential Equation s.

Given a vector field ''V'' defined on ''S'', we can try to define curves γ on ''S'' such that for each ''t'' in an interval ''I''

:\gamma'(t) = V(\gamma(t))

If ''V'' is Lipschitz Continuous we can find a unique ''C''1-curve γ''x'' for each point ''x'' in ''X'' so that
:\gamma_x(0) = x
:\gamma'_x(t) = V(\gamma_x(t)) \qquad ( t \in (-\epsilon, +\epsilon) \subset \mathbf{R})

The curves γ''x'' are called flow curves of the vector field ''V'' and partition ''S'' into Equivalence Class es. It is not always possible to extend the interval (-ε, +ε) to the whole Real Number Line . The flow may for example reach the edge of ''S'' in a finite time.



In two or three dimensions one can visualize the vector field as given rise to a Flow on ''S''. If we drop a particle into this flow at a point ''p'' it will move along the curve γ''p'' in the flow depending on the initial point ''p''. If ''p'' is a stationary point of ''V'' then the particle will remain at ''p''.

Typical applications are Streamline in Fluid , Geodesic Flow , and One-parameter Subgroup s and the Exponential Map in Lie Group s.


DIFFERENCE BETWEEN SCALAR AND VECTOR FIELD


The difference between a scalar and vector field is not that a scalar is just one number while a vector is several numbers. The difference is in how their coordinates respond to coordinate transformations. A scalar ''is'' a coordinate whereas a vector ''can be described'' by coordinates, but it ''is not'' the collection of its coordinates.


Example 1

This example is about 2-dimensional Euclidean space (R2) where we examine Euclidean (''x'', ''y'') and Polar (''r'', θ) coordinates (which are undefined at the origin). Thus ''x'' = ''r'' cos θ and ''y'' = ''r'' sin θ and also ''r''2 = ''x''2 + ''y''2, cos θ = ''x''/(''x''2 + ''y''2) and sin θ = ''y''/(''x''2 + ''y''2). Suppose we have a scalar field which is given by the constant function 1, and a vector field which attaches a vector in the ''r''-direction with length 1 to each point. More precisely, they are given by the functions

:s_{\mathrm{polar}}:(r, heta) \mapsto 1, \quad v_{\mathrm{polar}}:(r, heta) \mapsto (1, 0).

Let us convert these fields to Euclidean coordinates. The vector of length 1 in the ''r''-direction has the ''x'' coordinate cos θ and the ''y'' coordinate sin θ. Thus in Euclidean coordinates the same fields are described by the functions

:s_{\mathrm{Euclidean}}:(x, y) \mapsto 1, \quad v_{\mathrm{Euclidean}}:(x, y) \mapsto (\cos heta, \sin heta) = \left( rac{x}{x^2 + y^2}, rac{y}{x^2 + y^2} ight).

We see that while the scalar field remains the same, the vector field now looks different. The same holds even in the 1-dimensional case, as illustrated by the next example.


Example 2

Consider the 1-dimensional Euclidean space R with its standard Euclidean coordinate ''x''. Also consider the coordinate ξ := 2''x''. Suppose we have a scalar field and a vector field which are both given in the ξ coordinates by the constant function 1,

:s_{\mathrm{unusual}}:\xi \mapsto 1, \quad v_{\mathrm{unusual}}:\xi \mapsto 1.

Thus, we have a scalar field which has the value 1 everywhere and a vector field which attaches a vector in the ξ-direction with magnitude 1 unit of ξ to each point. But if ξ changes one unit then ''x'' changes 2 units. Then, this vector field has a magnitude of 2 in units of ''x''. Therefore, in the ''x'' coordinate the scalar field and the vector field are described by the functions

:s_{\mathrm{Euclidean}}:x \mapsto 1, \quad v_{\mathrm{Euclidean}}:x \mapsto 2,

which are different.


Example 3

In 1D, an example of a scalar field is the electric potential ''V'', which is e.g. 20 volt at a particular point. This is a scalar, not depending on the coordinate system. An electric field at that point of 5 volt/metre in some coordinate system is −5 volt/metre in an inverse coordinate system. Since a physical quantity is not just a number, but a number times a unit, there is no change of coordinate system that gives any other than one of these two values for the electric field at the point.


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