
A number like 24 that has factors other than 1 and
... John has lots of 1 inch by 1 inch square tiles. John will use his tiles to make rectangles (in such a way that each rectangle is filled with tiles), each of which has one side that is 4 inches long. What are the areas of the rectangles that John can make? (The area of a rectangle will be the number ...
... John has lots of 1 inch by 1 inch square tiles. John will use his tiles to make rectangles (in such a way that each rectangle is filled with tiles), each of which has one side that is 4 inches long. What are the areas of the rectangles that John can make? (The area of a rectangle will be the number ...
Introduction to Coding Theory
... Proof: E is a vector space over F , finite-dimensional since F is finite. Denote this dimension by n; then E has a basis over F consisting of n elements, say α1 , ..., αn . Every element of E can be uniquely represented in the form k1 α1 + ... + kn αn (where k1 , ..., kn ∈ F ). Since each ki ∈ F can ...
... Proof: E is a vector space over F , finite-dimensional since F is finite. Denote this dimension by n; then E has a basis over F consisting of n elements, say α1 , ..., αn . Every element of E can be uniquely represented in the form k1 α1 + ... + kn αn (where k1 , ..., kn ∈ F ). Since each ki ∈ F can ...
Arithmetic Sequences
... ratio of 2. We will typically denote the first term of an geometric sequence as a1 and its common ratio as r. It's not too difficult to show that an = a1rn-1, where an denotes the nth term of the sequence. Now, consider determining the sum of a general geometric sequence of n terms: S = a1 + a1r + a ...
... ratio of 2. We will typically denote the first term of an geometric sequence as a1 and its common ratio as r. It's not too difficult to show that an = a1rn-1, where an denotes the nth term of the sequence. Now, consider determining the sum of a general geometric sequence of n terms: S = a1 + a1r + a ...
Factors/Multiples
... Factors are numbers that go into another number. To find the factors of a number, find the pairs. Example: Factors of 20 ...
... Factors are numbers that go into another number. To find the factors of a number, find the pairs. Example: Factors of 20 ...
COMPLEX NUMBERS
... Complex numbers have become an essential part of pure and applied mathematics. It is unfortunate that such numbers are called ’imaginary’ since they are no more or less real than any other type of number. It is best to regard all numbers as abstractions and not to insist on arbitrary connections wit ...
... Complex numbers have become an essential part of pure and applied mathematics. It is unfortunate that such numbers are called ’imaginary’ since they are no more or less real than any other type of number. It is best to regard all numbers as abstractions and not to insist on arbitrary connections wit ...
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.