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 equationIts coefficient of is , so it has exactly one solution. The foot of a perpendicular is thereforeThis 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 givesThis 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 provesThis includes orthogonal transformations with determinant : reversal of orientation does not affect the Euclidean norm in the surface area formula.
Use the parametric curveHere , so the ellipse stays strictly above the axis of rotation . Rotating in three dimensions gives a surface of revolution with parametrizationThe two parameter tangent vectors are orthogonal, with Euclidean norms and . Hence the area element of a surface isThe 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. AlsoWriting , the surface area is therefore . Since and ,ConsequentlyThe 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.
Past exam of the mathematics course of the year 1 of the natural sciences course of the University of Cambridge 2001 Paper 1 1 b Solution Created 2026-10-18 Updated 2026-10-20
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,
Past exam of the mathematics course of the year 1 of the natural sciences course of the University of Cambridge 2001 Paper 1 1 c Solution Created 2026-10-18 Updated 2026-10-20
The two edge vectors based at are and . Their cross product is , with squared Euclidean norm . The triangle occupies half the corresponding parallelogram, so
Past exam of the mathematics course of the year 1 of the natural sciences course of the University of Cambridge 2002 Paper 2 8 b Solution Created 2026-10-18 Updated 2026-10-20
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 isEach 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.
Past exam of the mathematics course of the year 1 of the natural sciences course of the University of Cambridge 2003 Paper 2 1 a Solution Created 2026-10-18 Updated 2026-10-20
With normal vector , a plane through has equation . As , its plane equation isThe 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.
Past exam of the mathematics course of the year 1 of the natural sciences course of the University of Cambridge 2003 Paper 2 1 b Solution Created 2026-10-18 Updated 2026-10-20
The displacement vectors are and . Their cross product is , with Euclidean norm three. Thus either sign ofis 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 , .
Past exam of the mathematics course of the year 1 of the natural sciences course of the University of Cambridge 2003 Paper 2 3 b Solution Created 2026-10-18 Updated 2026-10-20
The characteristic polynomial is . For , the eigenvector equation gives ; for , it gives . The normalized eigenvectors can therefore be chosen asBoth 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.
Past exam of the mathematics course of the year 1 of the natural sciences course of the University of Cambridge 2003 Paper 2 8 a i Solution Created 2026-10-18 Updated 2026-10-20
The trace sums the diagonal entries, so . The two unit vectors have squared Euclidean norms one, giving .
Past exam of the mathematics course of the year 1 of the natural sciences course of the University of Cambridge 2006 Paper 1 2 a ii Solution Created 2026-10-18 Updated 2026-10-20
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.
Past exam of the mathematics course of the year 1 of the natural sciences course of the University of Cambridge 2006 Paper 1 5 c Solution Created 2026-10-18 Updated 2026-10-20
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. ThereforeThe 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 yieldsTheir 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 normHence the distance from a point to a line in three dimensions isThe 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 areHence , 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 isThe positive cosine shows that it is an acute angle.
Hold fixed and differentiate the position vector . Its coordinate tangent vectors areTheir dot product is zero, and their squared Euclidean norms are and . To first order, the displacement is . Squaring givesThis 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.