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irreducible representations of the symmetric
irreducible representations of the symmetric

Matrix Manipulation and 2D Plotting
Matrix Manipulation and 2D Plotting

low-rank matrices with noise and high
low-rank matrices with noise and high

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... chosen so that vp (π) = 1 (if this is not the case, then vp (p) = 1, i.e. p is unramified, and hence we replace π by π + p). Then for all m, if q = dm/ee = b(m + e − 1)/ec where e = e(p/p) is the ramification index of p, we have pm = pq ZK + π m ZK . Indeed, for any prime ideal q different from p, m ...
Notes from Unit 1
Notes from Unit 1

... We can always do the arithmetic to find products like this. The interesting question arises when we know the matrix A and the product vector b, and we want to find the vector x for which Ax = b — or even to know whether such a x exists. If we could “divide by A”, it would be an easy problem, just li ...
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Hilbert spaces and the projection theorem 1 Vector spaces
Hilbert spaces and the projection theorem 1 Vector spaces

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Matlab Tutorials for HY 571

POLYNOMIAL RINGS AND UNIQUE FACTORIZATION DOMAINS 1
POLYNOMIAL RINGS AND UNIQUE FACTORIZATION DOMAINS 1

... It’s possible that x has some irreducibles from R that we can factor out of it. If so, we do factor these irreducibles from R out, using Lemma 10. This leaves a primitive polynomial. Then a primitive polynomial factors only into polynomials of smaller positive degree. Thus, what we’ve done so far is ...
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This is the syllabus for MA5b, as taught in Winter 2016. Syllabus for

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... (2) If I is an ideal in R, show rad(I) = {x ∈ R|xn ∈ I for some n} is an ideal. SOLUTION: Suppose x, y ∈ rad(I) and xn , y m ∈ I. Then binomial expansion of (x + y)n+m−1 shows that each term is either of degree at least n in x or degree at least m in y, hence (x + y) ∈ rad(I). For the multiplicative ...
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Solving Systems of Linear Equations Substitution Elimination

... (2) Add a multiple of one equation to another. Again, this should not be taken literally. It really means to add a multiple of the left side of one equation to the left side of another and also add the same multiple of the right side of that equation to the right side of the other. (3) Interchange t ...
topological invariants of knots and links
topological invariants of knots and links

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Math 108A Practice Midterm 1 Solutions

MATH 307 Subspaces
MATH 307 Subspaces



October 17, 2011 THE ELGAMAL CRYPTOSYSTEM OVER
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... Two of the most popular groups used in the discrete logarithm problem are the group of units of a finite field and the group of rational points of an elliptic curve over a finite field. The obvious question arises, are there any other groups? There are matrix groups out there, for example, the group ...
M1GLA: Geometry and Linear Algebra Lecture Notes
M1GLA: Geometry and Linear Algebra Lecture Notes

... In particular, x and y are perpendicular iff (x · y) = 0. Lines in R2 can be written as L = {u + λv | λ ∈ R}. This will be referred to as vector form. Lines can also be described by their Cartesian equation: px1 + qx2 + r = 0, where p1 , q1 ∈ R. Definition. Any vector perpendicular to the direction v ...
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Perron–Frobenius theorem

In linear algebra, the Perron–Frobenius theorem, proved by Oskar Perron (1907) and Georg Frobenius (1912), asserts that a real square matrix with positive entries has a unique largest real eigenvalue and that the corresponding eigenvector can be chosen to have strictly positive components, and also asserts a similar statement for certain classes of nonnegative matrices. This theorem has important applications to probability theory (ergodicity of Markov chains); to the theory of dynamical systems (subshifts of finite type); to economics (Okishio's theorem, Leontief's input-output model); to demography (Leslie population age distribution model), to Internet search engines and even ranking of football teams.
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