Concept of vector fields as gradients of functions is well established. However, sometimes taking curl of vectors also results in vector fields. These concepts lead to certain simplifications when computing line integrals.
The following illustrative example is from Tu's "Introduction to Manifolds".
Let F(x,y)=(P(x,y),Q(x,y)) be a vector field defined on an open set U in R2. Let C represent a parameterized curve defined by c(t)=(x(t),y(t)) where t∈[a,b] as it moves from point A to B on U. The total work done by a particle moving along this path is given by line integral ∫CP(x,y)dx+Q(x,y)dy.
If vector field is a gradient of a scalar function the line integral is easy to compute using Stoke's theorem.
F=grad(f)=(fx,fy)
where fx=∂f∂x and
fy=∂f∂y
fy=∂f∂y
∫Cfxdx+fydy=∫Cdf=f(B)−f(A).
A necessary condition for F to be grad of a scalar function f is
Py=fxy=fyx=Qx.
The question is now the following:
If Qx−Py=0, is the vector field F=(P,Q) gradient of some scalar function f on U?
By correspondence between vector fields and 1-forms in R2, we have,
F=(P,Q)<−>ω=Pdx+Qdy
gradf=(fx,fy)<−>dω=fxdx+fydy
Qx−Py=0<−>dω=(Qx−Py)dx∧dy=0.
So the question is, if ω=fxdx+fydy is closed ie. dω=0 is it exact?
Answer is sometimes Yes and sometimes No and depends on U.
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