The circulation is defined as the integrated tangential velocity around any closed contour C in the fluid,
Kelvin's theorem of the conservation of circulation states that for an ideal fluid acted upon by conservative forces (e.g., gravity) the circulation is constant about any closed material contour moving with the fluid. Physicaly, this happens because no shear stresses act within the fluid; hence it is impossible to change the rotation rate of the fluid particles. Thus, any motion that started from a state of rest at some initial time, will remain irrotational for all subsequent times, and the circulation about any material contour will vanish.
To proof Kelvin's theorem, we consider the derivative of (1) with respect to time . Since the contour C moves with the fluid particles, or with velocity , it follows that
Here the differential operator acting upon the integrand is the substantial (material) derivative , since the contour of integration C is a material contour moving with the fluids particles. The resulting derivatives of the velocity components vi are straightforward to compute, but some care is required for the differential element dxi. Since C is a material contour, the differential element will itself be a function of time; to analyze its resulting distortion, we resort to the definition of the integral as the limit of a finite sum.
figure
Thus , if xi(n) denotes the coordinates of the nth point along the contour C, say with , the integral in equation (2) can be replaced by the
provided that as ,
Since the coordinates xi(n) move with individual fluid particles, they must be functions of time. By definition the velocity components at the same points are given by
Using the chain rule in equation (3), noting that the coordinates xi(n) depend on time but not on the space coordinates, and finally using equation (5), we obtain
In this form, the limit is given by the integrals
Now, the first part of the integrand in (7) is the left hand side of Euler's equation. then we can rewrite equation (7) in the form
The right side of equation (8) is the integral of a perfect differential over a closed contour and is, therefore, equal to zero. In effect, the integral can be integrated to give
where A and B are the upper and lower limits of integration; since these points are identical, the difference .
To proof Kelvin's theorem, we need to evaluate , and in the proof above the representation of the integral as the limit of a finite sum was used to obtain the expression for . Here we discuss how to obtain this expression using the definition of the derivative. We write
For a fluid particle at position (a point over the material contour ), we can write in the limit that
The speed of a fluid particle at the position is given by the equation
This equation is illustrated in the figure below. In the limit , the position (a point of the material contour ) of a fluid particle at the instant can be approximated by its position (a point over the material contour C(t)) at instant t, plus what it has traveled during the time . The distance traveled is given approximately by the vector with an error of order .
figure
According to equation (12), we can write
The velocity vector at the instant can be approximated in the same way as and . We can write
If we substitute the approximate expression for , given by equation (12), into equation (14), we obtain
Now we expand in taylor series with respect to the second variable to obtain
The expanssion above is illustrated in the figure below
According to equations (13) and (16), the integrand of the first integral in the right hand side of equation (9) can be approximated by the equation
Notice that the approximated form of the integrand of the first integral in the right hand side of equation (9), given above by equation (17), is now being evaluated over the contour C(t) instead of the contour . Therefore, we can write
Now we can replace the first integral in the right hand side of equation (9) by the expression given in the equation (18). Therefore, the time derivative of the circulation is
(19) |
and after the limit process is taking into account, we obtain
(20) |
which is exactly the equation (7) we obtained using the previous approach.