A directional derivative measures change per unit distance, so first normalize the direction: . The gradient is
Taking the dot product with the unit vector,
Using the unnormalized vector would instead give , the change per unit parameter along ; it is not the rate per unit distance requested here.
Differentiate , :
Squaring and adding cancels the mixed terms and uses , giving
For this cardioid, the polar arc length integrand is
The cosine inside the absolute value changes sign at . Therefore the perimeter is
in coordinate length units. The isolated cusp does not obstruct this piecewise smooth arc length integral.
Each radial segment from to lies inside the cardioid. Integrating the polar area element gives
The three integrals are respectively , and . Thus
in square coordinate units, agreeing with the scale-one case of the area and perimeter of a cardioid.
Convert the cardioid from polar coordinates to Cartesian coordinates:
The curve is symmetric about the horizontal axis. It has a cusp at the origin at , passes through , and reaches on the right. Its leftmost horizontal coordinate is , since .
For the largest , differentiate the parametrization:
The candidates have or . The positive maximum occurs at , where . Comparing with the negative extremum and the zero cusp value proves
Figure 1.
The cardioid with its cusp, axis crossings and point of greatest vertical coordinate
. Details.
With , substitute into the plane constraints. They become and , giving
The Pythagorean theorem for the two orthogonal terms in then gives the closest distance
Zero values of either scalar are allowed, including zero distance if both planes contain the origin.
The squared Euclidean distance along the line is
Its minimum occurs at exactly when its derivative there vanishes, so . Since are independent, their linear span is the two-dimensional orthogonal complement of . Consequently
for unique real . This is the closest point on the intersection of two planes; the positive quadratic coefficient proves that the stationary distance is a strict global minimum.
Apply the vector triple product identity and the two plane constraints:
Put . If is one intersection point, subtraction gives , so is parallel to . Conversely, adding any multiple of preserves both plane constraints because is orthogonal to both normal vectors. The whole intersection is therefore
Such an exists: choose and solve the two-by-two linear system with determinant . This also proves sufficiency rather than assuming a nonempty intersection.
The nonzero vectors are normal vectors to the two planes. If , then for some nonzero real . Their equations are therefore and .
When , the planes coincide and their intersection is an entire plane. Otherwise they are distinct parallel planes and have no intersection. Neither case has exactly a line as its intersection. Hence is necessary for intersection in a line. It means that the two normal vectors are not parallel; in that case it is also sufficient.
The integrating factor is , giving . The required antiderivative is
After dividing by , the general solution is the oscillatory term plus . The initial condition fixes , so
The real, nonzero parameters ensure ; direct substitution verifies both the equation and .
Let and . Their cross partial derivatives agree: . More directly, construct the scalar function
This exhibits the expression as an exact differential. Along a solution of the differential equation,
Thus the general solution is
For , the graph also extends smoothly through and satisfies the original, undivided equation there. Nonzero cannot extend through zero as a finite-valued differentiable solution. The extra vertical component of the implicit zero-level equation is not a graph on an interval and is not an additional solution of this ordinary differential equation.
Work on an interval with . The homogeneous first-order differential equation becomes a separable differential equation under : substituting gives , hence .
For , integration gives . Renaming the arbitrary constant produces
For the nonzero family the denominator must remain nonzero, so take any connected interval avoiding both and . The zero solution must be restored after division by ; by the Picard-Lindelöf theorem away from , a solution cannot switch between zero and a nonzero branch there.
Using the exponential definition of hyperbolic cosine, multiply by the nonzero quantity . This yields , hence .
If , its complex modulus requires , so ; its phase then requires . Thus all complex solutions are
There are no real solutions, since real .
Set , so . The binomial theorem gives
Use and to obtain
This is a finite Fourier sine series, with only odd harmonics.
Write a square root as , with real. Equating the real part and imaginary part of its square gives and . Taking complex modulus also gives . Therefore
Since , the signs agree. The two roots are
The changes both signs together, rather than independently.
For , orthogonality to the image of a matrix would require
The second component forces , but then the third component is . Equivalently, the last two required zero components always sum to . Therefore there are no such values of .
Use orthogonality to the image of a matrix. For , the condition is , since must vanish for every nonzero input. Direct multiplication gives
Each coefficient must vanish; choosing the three coordinate basis vectors as inputs already proves necessity. Solve , to obtain
These values make every output have zero dot product with , including any zero output. Here orthogonality is understood in this algebraic sense; no direction is assigned to the zero vector.

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