Fermat Numbers in the Pascal Triangle
... The above result can be interpreted by saying that the Fermat numbers sit in the Pascal triangle only in the trivial way. A connection of the Fermat numbers with the Pascal triangle was pointed out in the paper of Hewgill [1]. We mention that several other diophantine equations involving the Pascal ...
... The above result can be interpreted by saying that the Fermat numbers sit in the Pascal triangle only in the trivial way. A connection of the Fermat numbers with the Pascal triangle was pointed out in the paper of Hewgill [1]. We mention that several other diophantine equations involving the Pascal ...
(pdf)
... subsets: for each k ∈ N, a set Rk of k-place relation symbols; for each m ∈ N, a set Fm of m-place function symbols; and a set C of constant symbols. So, given such a set of symbols, we need to know what it means for two mathematical stuctures to share the same language. The definition is very strai ...
... subsets: for each k ∈ N, a set Rk of k-place relation symbols; for each m ∈ N, a set Fm of m-place function symbols; and a set C of constant symbols. So, given such a set of symbols, we need to know what it means for two mathematical stuctures to share the same language. The definition is very strai ...
[2014 question paper]
... B3. (i) How many functions are there from the set {1, . . . , k} to the set {1, . . . , n}? (ii) Let Pk denote the set of all subsets of {1, . . . , k}. Find a formula for the number of functions f from Pk to {1, . . . , n} such that f (A ∪ B) = the larger of the two integers f (A) and f (B). Your a ...
... B3. (i) How many functions are there from the set {1, . . . , k} to the set {1, . . . , n}? (ii) Let Pk denote the set of all subsets of {1, . . . , k}. Find a formula for the number of functions f from Pk to {1, . . . , n} such that f (A ∪ B) = the larger of the two integers f (A) and f (B). Your a ...
(pdf)
... we can find the units of the ring Z[ d] by setting N (α) = ±1. This equation for finding units, ±1 = a2 − db2 , is commonly referred to as Pell’s equation. We now look at two examples below to see the differing behavior of Pell’s equation for d < 0 and d > 0. Example 1.8. First, consider an example ...
... we can find the units of the ring Z[ d] by setting N (α) = ±1. This equation for finding units, ±1 = a2 − db2 , is commonly referred to as Pell’s equation. We now look at two examples below to see the differing behavior of Pell’s equation for d < 0 and d > 0. Example 1.8. First, consider an example ...
Math 8669 Introductory Grad Combinatorics Spring 2010, Vic Reiner
... where the elementary and complete symmetric functions er , hr are both taken to be 1 for r = 0, and 0 for r < 0. (a) Explain why the matrices E, H are inverse to each other. (b) Specialize the ei (x1 , x2 , . . .), hi (x1 , x2 , . . .) to x1 = x2 = · · · = xn = 1 and xi = 0 for i > n. What do ek , h ...
... where the elementary and complete symmetric functions er , hr are both taken to be 1 for r = 0, and 0 for r < 0. (a) Explain why the matrices E, H are inverse to each other. (b) Specialize the ei (x1 , x2 , . . .), hi (x1 , x2 , . . .) to x1 = x2 = · · · = xn = 1 and xi = 0 for i > n. What do ek , h ...
Change in a quantity y between time a and time b = Value of
... Some radical expressions are easier to simplify when we first write them with rational exponents ...
... Some radical expressions are easier to simplify when we first write them with rational exponents ...
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.