The curl found in part (a) is constant, so its divergence is
This also follows from the identity divergence of a curl is zero, applicable here because the field is smooth everywhere.
Split the vector field into and . The second part is the gradient of , so its curl vanishes. The first part has only a vertical curl component, . Hence
Use the gradient flow of , namely ; any positive change of speed leaves the same trajectory. At the starting point,
so the path initially points up and left, with slope . At every regular point it crosses the level sets orthogonally, because the gradient is normal to the contours. Along it,
until a stationary point is approached.
The red curve in the plot first rises above , then bends down towards the maximum . It stays on the side and approaches the maximum without crossing it in finite gradient-flow time. Indeed preserves the sign of , and the critical level increases from its starting value towards . The requested curve is an ascending trajectory, not a contour or a straight segment joining the initial and final points.
For , completing the square gives the conic section
The possible levels follow from
For , the contours are ellipses centred at , shrinking to the maximum as . The zero contour is the parabola from part (c). For , the contours are vertical-opening hyperbolas. At they degenerate into the intersecting straight lines, and for they are horizontal-opening hyperbolas. These descriptions specify the remaining contour families and their symmetry about the axis. The lower bound is approached as at fixed but is never attained.
Figure 1.
Contours and an ascending gradient trajectory
. Original contours of the rational scalar field. The critical points are marked; the green parabola is the zero contour and the crossing dashed lines have level . The red trajectory starts at and follows the positive gradient towards the maximum, as discussed in part (e). Details.
The level set can be rearranged, without changing its domain, as
The requested special contours are therefore
The first is a parabola, the second a single point, and the last two intersecting straight lines. Moreover
with equality only at . Hence is a strict global maximum. At the crossing critical contour separates sectors with values above and below , so it is a saddle point of a scalar function.
As a Hessian matrix check, is negative definite, while is indefinite. There is no stationary minimum.
Set . The quotient rule gives the partial derivatives
Since , the first equation forces . The second then reduces to . Thus the only stationary points and their field values are
No division by a potentially vanishing factor of was used, so no stationary points have been discarded.
At a differentiable interior stationary point, all first-order changes of the scalar field vanish. In particular, the directional derivative along each coordinate axis vanishes, so and hence . Equivalently, the first-order differential vanishes for every displacement. A differentiable interior maximum or minimum must satisfy this condition; a stationary point need not be an extremum.
The standard nondegenerate local contour plot models are for a maximum, for a minimum, and for a saddle point of a scalar function. Near a maximum, nested contours have lower values farther from the centre; near a minimum they have higher values. Near a saddle, hyperbolas occur on opposite sides of the critical level, whose contour has two intersecting tangent directions. More general nondegenerate quadratic forms deform these circles into ellipses; degenerate stationary points can have more complicated contours.
Figure 1.
Local contours near a maximum, a minimum and a saddle
. Original quadratic models, with signed contour labels showing how the field changes away from each stationary point. Details.
The cross product of the direction vectors is . It is nonzero, so a common perpendicular direction exists. Projecting onto its unit vector gives the distance between skew lines:
Thus
The numerator is a scalar triple product; movement along either line does not change this perpendicular projection.
First check the improper integral exists: near zero its numerator is , so the quotient is ; at infinity both exponentials decay. For positive parameters in compact neighborhoods, the differentiated integrands have integrable bounds, justifying differentiation under the integral sign. It gives
Thus , with independent of both parameters. Since , , and
The sign is consistent with the integrand: makes it positive. Neither separate integral converges at zero; it is the difference that is meaningful. The substitution identifies the result as a Frullani integral with an extra factor .
Apply the Leibniz integral rule: differentiate both moving endpoints and the integrand's explicit dependence. The partial derivative is . Hence
The signs distinguish upper and lower endpoint contributions. The formula also holds when the limits occur in reversed order, by the oriented-integral convention. If , the integral defining is identically zero and all displayed terms cancel, so
Let , and take equal subintervals of width . Since sine is continuous, its integral is the limit of the left-endpoint Riemann sums
Using Euler's formula, the corresponding complex sum is a finite geometric series:
Since ,
Taking imaginary parts gives
One can see the same limit entirely within the real sums: the finite trigonometric-sum identity obtained from this geometric sum gives
Thus the evaluation is explicitly by a Riemann sum, as required.
Factor out the dominant cubic term and use a geometric series in :
Thus the requested leading term and absolute error order are
The relative error of retaining only the leading term is ; it differs from the absolute error order .

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