The repeated factor requires both a simple-pole and a double-pole term in the partial fraction decomposition. Write
Multiplying through gives . Substituting and gives and ; the quadratic coefficient then gives . Therefore
On the horizontal segment , while decreases from to . Keeping this orientation gives
The minus sign follows from traversing opposite to the positive direction.
Only the component of the vector field is nonzero, so . On the vertical segment, throughout. Hence
The parameter derivative of the integrand is , whose absolute value is bounded by one on . This integrable bound justifies differentiation under the integral sign, giving
The original integral also exists: , and its apparent singularity at is removable. Set to evaluate the derivative:
Consequently
Since , integration in the parameter fixes the constant and gives the logarithmic sine integral identity
The integrand and both limits depend on , so use the Leibniz integral rule. The upper and lower endpoint contributions and the interior derivative give
For , an antiderivative in is . Evaluating it and collecting terms gives
At the original Leibniz expression has zero endpoint terms and an integral over a zero-length interval, giving . The displayed quotient has a removable singularity and the same limiting value.
Assume real square-integrable functions on the same integration domain. Put , , and . If , then almost everywhere, so and the claim follows. If , nonnegativity of a square gives
Multiplying by proves the integral form of the Cauchy-Schwarz inequality:
For nonzero functions, equality holds exactly when they are proportional almost everywhere. The zero-function cases also give equality.
Substitution first makes the square-root branch transparent:
On the given interval this is exactly , so direct differentiation gives
in agreement with the chain-rule calculation. Outside this interval one must retain the absolute value; there are cusps at integer multiples of .
The second derivative chain rule is
Put and . Substituting the preceding results and gives
Therefore
On , . The chain rule gives
Using yields
For the composite square root, throughout the restricted interval. Differentiate with respect to :
The second expression comes from differentiating both and . The endpoints where are excluded here.
The graph is even and periodic with period , bounded between and . It rises from each minimum at to a maximum halfway to the next minimum, then falls back. It has horizontal tangents at all these extrema and repeats smoothly.
Figure 1.
The periodic graph of exp(sin squared x), with all types of stationary point marked
. Details.
Differentiating gives
The exponential never vanishes, so all stationary points have . At , and ; at , and . Thus
These are global minima and maxima because . None of the stationary points is an inflection point.
For , the multivariable chain rule gives , with the corresponding expressions for . Thus the gradient of a radial function is
The origin needs a separate check because is undefined there. If the one-variable function has a finite right derivative at zero, the radial composite is differentiable at the origin exactly when , in which case its gradient is zero. A nonzero radial slope gives incompatible opposite-direction derivatives.
Treat and as constants and use the total differential in the independent variables :
Each coefficient differentiates with respect to its displayed variable while holding the other two fixed; the formula applies where .

There are unlisted articles, also show them or only show them.