
Math 562 Spring 2012 Homework 4 Drew Armstrong
... (because every spanning set contains a basis). We conclude that [K : Q] = 4, and it follows (for general reasons, not yet proved in class) that |Gal(K/Q)| = 4. What could this group be? Recall that there are only two groups of size 4; they are isomorphic to Z/(4) and V := Z/(2) × Z/(2). To prove (c ...
... (because every spanning set contains a basis). We conclude that [K : Q] = 4, and it follows (for general reasons, not yet proved in class) that |Gal(K/Q)| = 4. What could this group be? Recall that there are only two groups of size 4; they are isomorphic to Z/(4) and V := Z/(2) × Z/(2). To prove (c ...
math-g4-m3-topic-f-lesson
... We divided to determine if 3 was a factor of 54, but for 2 and 5 we don’t need to divide. Explain to your partner why not. The even numbers all have 2 for a factor. If the digit in the ones place is odd, the number doesn’t have 2 as a factor. Numbers with 5 as a factor have 0 or 5 as a digit in ...
... We divided to determine if 3 was a factor of 54, but for 2 and 5 we don’t need to divide. Explain to your partner why not. The even numbers all have 2 for a factor. If the digit in the ones place is odd, the number doesn’t have 2 as a factor. Numbers with 5 as a factor have 0 or 5 as a digit in ...
Identify like terms
... Like terms, such as 7x and 2x, can be grouped together because they have the same variable Evaluating Algebraic Expressions raised to the same power. A coefficient is a number that is multiplied by a variable in an algebraic expression. A constant is a number that does not change. Constants, such as ...
... Like terms, such as 7x and 2x, can be grouped together because they have the same variable Evaluating Algebraic Expressions raised to the same power. A coefficient is a number that is multiplied by a variable in an algebraic expression. A constant is a number that does not change. Constants, such as ...
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.