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Past exam of the options I course of the University of Oxford 2004 A A1 Solution by
Codex 0 2026-10-31
A group action is a map , , satisfying and . Its group orbit and stabilizer areThe stabilizer contains the identity. If fix , then fixes it; and implies after applying . Thus it is a subgroup.
The map from left cosets to group-orbit points is well-defined, surjective and injective: is equivalent to . Therefore for finite .
For conjugation in , the group orbits are exactly the conjugacy classes, determined by cycle type:Conjugation sends to , so these displayed sets are invariant and each is one group orbit. Their sizes also agree with centralizer orders .
Past exam of the numerical solution of differential equations course of the University of Oxford 2011 B 6 Solution by
Codex 0 2026-10-31
Let , and . Subtract the exact fixed-point equation to obtain . Hence convergence for every initial vector is equivalent to . If this holds, it holds after complexification; applying it to a complex eigenvector gives , so . Conversely, the complex Jordan normal form expresses each power as a finite sum of terms from its blocks. Every term tends to zero when all eigenvalues have modulus below one. ThusThe convergence criterion for a stationary iteration needs complex triangularization or Jordan normal form. The paper's assertion that every real matrix is similar to a real upper-triangular matrix is false when nonreal eigenvalues occur; complex triangularization supplies the intended argument. In the Gauss-Seidel method, with split into diagonal, strictly lower and strictly upper parts, .
For , eliminating the ghost values gives the symmetric pentadiagonal matrixAll other off-diagonal entries vanish. The first two equations areand the last two areFor the matrix is , for it is , and for it is because both ghost contributions meet the same unknown. The diagonal entries are positive in every case, so the lower triangular matrix is invertible and the Gauss-Seidel iteration is well defined.
An eigenvalue of makes singular. Let and be the sums of absolute lower and upper entries in row . The row's diagonal-dominance margin isInterior full rows have , , giving margin . Boundary rows have larger margins; for instance the first gives , and the second gives at least . Therefore would make a strictly diagonally dominant matrix, hence nonsingular, a contradiction.
At it is weakly diagonally dominant with strict boundary rows. Its nonzero nearest-neighbour entries make it an irreducibly diagonally dominant matrix. The nonsingularity theorem for that class again contradicts singularity. For the small matrices above all rows are already strict at this value. HenceThere is also a stronger conclusion. For ,including the overlap. Since is positive definite, is a symmetric positive-definite matrix. The Gauss-Seidel convergence from diagonal dominance and positive definiteness theorem consequently gives the stronger bound .
Pinned article: Introduction to the OurBigBook Project
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Intro to OurBigBook
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This feature makes it possible for readers to find better explanations of any topic created by other writers. And it allows writers to create an explanation in a place that readers might actually find it.Figure 1. Screenshot of the "Derivative" topic page. View it live at: ourbigbook.com/go/topic/derivativeVideo 2. OurBigBook Web topics demo. Source. - local editing: you can store all your personal knowledge base content locally in a plaintext markup format that can be edited locally and published either:This way you can be sure that even if OurBigBook.com were to go down one day (which we have no plans to do as it is quite cheap to host!), your content will still be perfectly readable as a static site.
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