
Basics of Complex Numbers (I)
... 4. Multiplying Complex Numbers • Multiplication is distributive: (a + b i) × (c + d i) = (ac − bd) + i(ad + bc). • In polar form, we multiply the r’s and add the θ’s: if z1 = r1 eiθ1 and z2 = r2 eiθ2 , then z1 z2 = r1 r2 ei(θ1 +θ2 ) . 5. Euler’s Theorem and other Goodies: • From the polar form, we h ...
... 4. Multiplying Complex Numbers • Multiplication is distributive: (a + b i) × (c + d i) = (ac − bd) + i(ad + bc). • In polar form, we multiply the r’s and add the θ’s: if z1 = r1 eiθ1 and z2 = r2 eiθ2 , then z1 z2 = r1 r2 ei(θ1 +θ2 ) . 5. Euler’s Theorem and other Goodies: • From the polar form, we h ...
Systems of Equations
... STEPS for ADDITION or SUBTRACTION ELIMINATION: 1) Add or subtract the equations in order to cancel one of the variables. (It all depends on the coefficients and signs of each variable.) 2) Solve the resulting equation for the variable. 3) Use that answer to find the other variable by substituting it ...
... STEPS for ADDITION or SUBTRACTION ELIMINATION: 1) Add or subtract the equations in order to cancel one of the variables. (It all depends on the coefficients and signs of each variable.) 2) Solve the resulting equation for the variable. 3) Use that answer to find the other variable by substituting it ...
One Year Algebra Outline Revised Feb 2013
... 1. monomial and binomial denominators 2. factorable binomial denominators b. Simplify fractions with polynomials in the numerator and denominator by factoring both and reducing to lowest terms c. Add or subtract fractional expressions 1. like and unlike monomial denominators 2. like binomial denomin ...
... 1. monomial and binomial denominators 2. factorable binomial denominators b. Simplify fractions with polynomials in the numerator and denominator by factoring both and reducing to lowest terms c. Add or subtract fractional expressions 1. like and unlike monomial denominators 2. like binomial denomin ...
Product Formula for Number Fields
... Now let us fix K = Q, so that L is a number field (a finite extension of Q). Recall that the ring of integers of L consists of the elements in L whose minimal polynomials have integer coefficients. This subset forms a ring O that is a Dedekind domain, an integral domain in which every nonzero proper ...
... Now let us fix K = Q, so that L is a number field (a finite extension of Q). Recall that the ring of integers of L consists of the elements in L whose minimal polynomials have integer coefficients. This subset forms a ring O that is a Dedekind domain, an integral domain in which every nonzero proper ...
Pre-Algebra Chapter 4
... 5.) A sample from a package of assorted cookies revealed that 20% of the cookies were sugar cookies. Suppose there are 45 cookies in the package. How many can be expected to be sugar cookies? ...
... 5.) A sample from a package of assorted cookies revealed that 20% of the cookies were sugar cookies. Suppose there are 45 cookies in the package. How many can be expected to be sugar cookies? ...
Conceptual Questions
... 6. Name the only real number that has no reciprocal, and explain why this is so. 7. Name the only real number that is its own opposite, and explain why this is so. 8. What does it mean to distribute? 9. What does it mean to factor? 10. What does it mean to simplify? 11. Explain why 32 and (3)2 sim ...
... 6. Name the only real number that has no reciprocal, and explain why this is so. 7. Name the only real number that is its own opposite, and explain why this is so. 8. What does it mean to distribute? 9. What does it mean to factor? 10. What does it mean to simplify? 11. Explain why 32 and (3)2 sim ...
NumberBases
... number: a question they have been stumped with for quite too long. The question seemed simple enough, however I was terrified of getting it wrong, because I had no idea what number base they were using! Still, after thinking for a minute, I confidently stated that it isn't, as 2323=23\times 101. The ...
... number: a question they have been stumped with for quite too long. The question seemed simple enough, however I was terrified of getting it wrong, because I had no idea what number base they were using! Still, after thinking for a minute, I confidently stated that it isn't, as 2323=23\times 101. The ...
x - 7
... (2x - 3)(3x + 1) To proceed through double use of the distributive property, think of (2x - 3) as one number,and distribute this number over the other binomial. (2x - 3) • 3x + (2x - 3) • 1 Then use the commutative property of multiplication to get 3x(2x - 3) + 1(2x - 3) Now distribute each of these ...
... (2x - 3)(3x + 1) To proceed through double use of the distributive property, think of (2x - 3) as one number,and distribute this number over the other binomial. (2x - 3) • 3x + (2x - 3) • 1 Then use the commutative property of multiplication to get 3x(2x - 3) + 1(2x - 3) Now distribute each of these ...
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.