
Class Notes: 9/1/09 MAE 501 Distributed by: James Lynch Structure
... Advanced: Non-Abelian Groups, Rings, Fields The rational numbers form an algebraic structure called a Ring. This is an algebraic structure R of two operations (+, x) such that (R,+) is an abelian group, and multiplication is associative. There is also the usual distributive law to relate these two o ...
... Advanced: Non-Abelian Groups, Rings, Fields The rational numbers form an algebraic structure called a Ring. This is an algebraic structure R of two operations (+, x) such that (R,+) is an abelian group, and multiplication is associative. There is also the usual distributive law to relate these two o ...
Full text
... In this paper, we consider fields determined by the /1th roots of the zeros a and fi of the polynomial x2 - x - 1 ; a is the positive zero. The tools for studying these fields will include the Fibonacci and Lucas polynomials. Generalized versions of Fibonacci and Lucas polynomials have been studied ...
... In this paper, we consider fields determined by the /1th roots of the zeros a and fi of the polynomial x2 - x - 1 ; a is the positive zero. The tools for studying these fields will include the Fibonacci and Lucas polynomials. Generalized versions of Fibonacci and Lucas polynomials have been studied ...
Full text
... We may therefore think of the elementary symmetric polynomials as basic building blocks for symmetric rational functions. In this article the variables x1 , x2 , . . . , xn are first specialized to the Fibonacci numbers by setting xk = Fk , k = 1, 2, . . . , n. We use Sk,n to denote the elementary s ...
... We may therefore think of the elementary symmetric polynomials as basic building blocks for symmetric rational functions. In this article the variables x1 , x2 , . . . , xn are first specialized to the Fibonacci numbers by setting xk = Fk , k = 1, 2, . . . , n. We use Sk,n to denote the elementary s ...
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.