Write . Since the triangle is nondegenerate, . Every point on the line has a unique position vector . The condition that is orthogonal to is the dot product equation
Its coefficient of is , so it has exactly one solution. The foot of a perpendicular is therefore
This is the orthogonal projection of onto the line , expressed using the Euclidean norm.
For the parametrized surface in i,
These tangent vectors are orthogonal, and their Euclidean norms are and , respectively. Their cross product therefore has Euclidean norm . Integration gives
This is the lateral surface area of a conical frustum, with no end disks included.
Let parametrize . Then parametrizes its image, with tangent vectors and . An orthogonal matrix preserves dot products, so the Lagrange identity for the cross product gives, for any ,
The area element of a surface is therefore the same pointwise before and after applying . Integrating proves
This includes orthogonal transformations with determinant : reversal of orientation does not affect the Euclidean norm in the surface area formula.
Use the parametric curve
Here , so the ellipse stays strictly above the axis of rotation . Rotating in three dimensions gives a surface of revolution with parametrization
The two parameter tangent vectors are orthogonal, with Euclidean norms and . Hence the area element of a surface is
The generating ellipse is simple and has positive distance from the axis of rotation; its rotation sweeps the surface once, apart from the identified parameter endpoints. Also
Writing , the surface area is therefore . Since and ,
Consequently
The cancellation is an instance of the surface area of revolution of a centrally symmetric curve: the surface area is the generating curve’s arc length times the distance traveled by its center.
A normal vector to the plane spanned by is their cross product:
Dividing by this Euclidean norm gives the two possible choices of unit normal,
The two edge vectors based at are and . Their cross product is , with squared Euclidean norm . The triangle occupies half the corresponding parallelogram, so
Call the given matrix . Its middle coordinate decouples, immediately giving the eigenvalue with normalized eigenvector . The remaining characteristic polynomial comes from the block:
For , the first row of gives ; for , the first row of gives . After vector normalization, one possible complete set is
Each has unit Euclidean norm. The dot products with vanish because the other two middle components are zero, and . This explicitly verifies orthonormality, also predicted by the spectral theorem for real symmetric matrices with distinct eigenvalues. Changing any eigenvector's sign gives an equally valid normalized choice.
With normal vector , a plane through has equation . As , its plane equation is
The distance from a point to a plane is the absolute signed offset divided by the Euclidean norm of its normal vector. Hence the Euclidean distance from the origin is , since . The closest point is , whose Euclidean distance from the origin is and which satisfies the plane equation.
The displacement vectors are and . Their cross product is , with Euclidean norm three. Thus either sign of
is a unit normal vector to the second plane, whose equation is . A direction vector for the intersection is the cross product of the two normal vectors:
It is orthogonal to each normal vector. Since both planes contain , the whole intersection line is , .
The characteristic polynomial is . For , the eigenvector equation gives ; for , it gives . The normalized eigenvectors can therefore be chosen as
Both have unit Euclidean norm, and their dot product is , explicitly verifying orthogonality. This also follows from the spectral theorem for a real symmetric matrix with distinct eigenvalues.
The Euclidean norms are and . With normalized eigenvectors as rows,
The rows form an orthonormal basis, so and is an orthogonal matrix. The zero eigenvalue means for a nonzero vector; thus is singular and has no matrix inverse.
The distance from a point to a plane, applied at the origin, is the plane constant divided by the Euclidean norm of its normal vector. Therefore
The closest point on a plane lies on the normal through the origin; this is an orthogonal projection onto an intercept plane.
Expanding the determinant gives . Solving each eigenvalue equation yields
Their pairwise inner products are , and . Their squared Euclidean norms are , respectively, so division by gives an orthonormal basis. This also follows from the spectral theorem for real symmetric matrices: symmetry makes eigenvectors for distinct eigenvalues orthogonal.
From the line point to , take and line direction . Orthogonal projection gives the nearest parameter . The perpendicular displacement has squared Euclidean norm
Hence the distance from a point to a line in three dimensions is
The nearest point is ; subtracting it from gives a vector orthogonal to , verifying the minimum.
A tangent displacement has the form . At the specified point, and , so the fastest decrease of height per unit surface distance has and . The unit downhill tangent is . Therefore, for speed measured along the surface,
Its Euclidean norm is , and it is orthogonal to the surface normal. The general construction is steepest descent on a graph surface; using a horizontal speed equal to would overestimate the full three-dimensional speed.
The three columns of are , , and . Each has squared Euclidean norm eight. Their pairwise dot products are
Hence , so . Thus is an orthogonal matrix, with . The determinant from (i) places it in the determinant-one component.
The dot product is , while the Euclidean norms are and . Thus the angle in the stated range is
The positive cosine shows that it is an acute angle.
Hold fixed and differentiate the position vector . Its coordinate tangent vectors are
Their dot product is zero, and their squared Euclidean norms are and . To first order, the displacement is . Squaring gives
This is the line element on a sphere. The chord distance and the short surface arc length agree to the order retained here.
A plane through the origin has equation for some nonzero normal . Dividing that normal by its Euclidean norm makes without changing the plane. Substitute the spherical coordinates from (a) and cancel the nonzero radius:
Its intersection with the sphere is the desired great circle; changing the sign of all three coefficients describes the same circle.