Past exam of the mathematics course of the University of Cambridge 2015 ii Paper 3 29D Solution Created 2026-09-24 Updated 2026-10-06
Solve , . Since , differentiation gives . To see why the Lax equation preserves the spectrum, direct differentiation givesThus is an orthogonal similarity, so all eigenvalues and all coefficients of its characteristic polynomial are first integrals.
A -dimensional Hamiltonian system is Liouville integrable when it has functionally independent first integrals, including the Hamiltonian, whose pairwise Poisson brackets vanish, on an open dense regular region.
For the three-particle periodic Toda lattice, take . The proposed Hamiltonian haswhich are exactly the equations of motion. Differentiating the new variables givesThe transformation is not canonical. For examplerather than canonical coordinate brackets. Moreover , so the map forgets the common translation of all the and is not an invertible coordinate change on the six-dimensional phase space.
Multiplication of the displayed matrices gives diagonal entries and off-diagonal entries in . Therefore they form the required Lax pair. The three characteristic coefficients areThey are independent first integrals, as permitted without proof. Equivalently one may takeIndeed , and . Their mutual Poisson commutation also follows directly: generates the common translation, and because is conserved.
Past exam of the mathematics course of the University of Cambridge 2018 ia Paper 1 8A Solution Created 2026-09-24 Updated 2026-10-03
A real square matrix is an orthogonal matrix when . The planar rotationobeys by the Pythagorean trigonometric identity.
Because is an orthogonal similarity, its diagonal entries are the eigenvaluesThe matrix has eigenvalues along . Raising its orthogonal diagonalization to the even power gives
Past exam of the mathematics course of the University of Cambridge 2025 ib Paper 1 17A d Solution Created 2026-09-24 Updated 2026-09-25
For symmetric , apply at stage the same reflection on both sides, choosing it to zero entries below the first subdiagonal in column . Orthogonal similarity preserves symmetry, so the corresponding row entries vanish too and previous zeros remain. After finitely many stages is symmetric tridiagonal. Constructing each reflector uses only arithmetic and one square root.
Past exam of the mathematics course of the University of Cambridge 2025 ii Paper 1 41D a Solution Created 2026-09-24 Updated 2026-09-25
Starting with , suppose columns have already been reduced to tridiagonal form. Let be the part of column in rows . A Householder reflection on these coordinates can map to . Extend it by the identity on the first coordinates and call the resulting orthogonal matrix .
The updatezeros every entry below row in column . Because it is an orthogonal similarity, it preserves eigenvalues; because the same transformation is applied on both sides, it preserves symmetry and zeros the corresponding row entries without disturbing earlier columns. After such steps,is symmetric and tridiagonal and has the same eigenvalues as . Every reflector is obtained from finitely many matrix entries using finitely many arithmetic operations and a square root, so this is a finite construction.