
2009 USA Team Selection Test
... Let N > M > 1 be fixed integers. There are N people playing in a chess tournament; each pair of players plays each other once, with no draws. It turns out that for each sequence of M + 1 distinct players P0 , P1 , . . . PM such that Pi−1 beat Pi for each i = 1, . . . , M , player P0 also beat PM . P ...
... Let N > M > 1 be fixed integers. There are N people playing in a chess tournament; each pair of players plays each other once, with no draws. It turns out that for each sequence of M + 1 distinct players P0 , P1 , . . . PM such that Pi−1 beat Pi for each i = 1, . . . , M , player P0 also beat PM . P ...
Garrett 10-03-2011 1 We will later elaborate the ideas mentioned earlier: relations
... Why are these rings? Why are sums and products of algebraic integers again integral? This issue is similar to the issue of proving that sums and products of algebraic numbers α, β (over Q, for example) are again algebraic. Specifically, do not try to explicitly find a polynomial P with rational coef ...
... Why are these rings? Why are sums and products of algebraic integers again integral? This issue is similar to the issue of proving that sums and products of algebraic numbers α, β (over Q, for example) are again algebraic. Specifically, do not try to explicitly find a polynomial P with rational coef ...
LECTURE 10: THE INTEGERS
... Integers greater than 0 are called positive. Integers less than 0 are called negative. Integers greater than or equal to 0 can also be called non-negative ...
... Integers greater than 0 are called positive. Integers less than 0 are called negative. Integers greater than or equal to 0 can also be called non-negative ...
Solve #17 – 20 by using the best method for that
... For #3 - 5, find the value of the discriminant and the number and type of solutions. 3) x 7 x 8 0 4) x 2 8 x 16 5) 2 x 2 9 4 x ...
... For #3 - 5, find the value of the discriminant and the number and type of solutions. 3) x 7 x 8 0 4) x 2 8 x 16 5) 2 x 2 9 4 x ...
a Microsoft Word document containing the review sheet
... a. y = af(x) (a > 1) stretches the graph of y = f(x) vertically by a factor of a. b. y = af(x) (0 < a < 1) shrinks the graph of y = f(x) vertically by a factor of a. 7. Even and Odd Functions: a. f is even if f(–x) = f(x) for all x in the domain of f. (The graph of f is symmetric with respect to the ...
... a. y = af(x) (a > 1) stretches the graph of y = f(x) vertically by a factor of a. b. y = af(x) (0 < a < 1) shrinks the graph of y = f(x) vertically by a factor of a. 7. Even and Odd Functions: a. f is even if f(–x) = f(x) for all x in the domain of f. (The graph of f is symmetric with respect to the ...
Factorization
In mathematics, factorization (also factorisation in some forms of British English) or factoring is the decomposition of an object (for example, a number, a polynomial, or a matrix) into a product of other objects, or factors, which when multiplied together give the original. For example, the number 15 factors into primes as 3 × 5, and the polynomial x2 − 4 factors as (x − 2)(x + 2). In all cases, a product of simpler objects is obtained.The aim of factoring is usually to reduce something to “basic building blocks”, such as numbers to prime numbers, or polynomials to irreducible polynomials. Factoring integers is covered by the fundamental theorem of arithmetic and factoring polynomials by the fundamental theorem of algebra. Viète's formulas relate the coefficients of a polynomial to its roots.The opposite of polynomial factorization is expansion, the multiplying together of polynomial factors to an “expanded” polynomial, written as just a sum of terms.Integer factorization for large integers appears to be a difficult problem. There is no known method to carry it out quickly. Its complexity is the basis of the assumed security of some public key cryptography algorithms, such as RSA.A matrix can also be factorized into a product of matrices of special types, for an application in which that form is convenient. One major example of this uses an orthogonal or unitary matrix, and a triangular matrix. There are different types: QR decomposition, LQ, QL, RQ, RZ.Another example is the factorization of a function as the composition of other functions having certain properties; for example, every function can be viewed as the composition of a surjective function with an injective function. This situation is generalized by factorization systems.