
Patterns and Sequences
... Patterns are useful to predict what came before or what might come after a set a numbers that are arranged in a particular order. This arrangement of numbers is called a sequence. For example: 3,6,9,12 and 15 are numbers that form a pattern called a sequence The numbers that are in the sequence are ...
... Patterns are useful to predict what came before or what might come after a set a numbers that are arranged in a particular order. This arrangement of numbers is called a sequence. For example: 3,6,9,12 and 15 are numbers that form a pattern called a sequence The numbers that are in the sequence are ...
Monadic Predicate Logic is Decidable
... Proof of Part 2 Making use of Part 1, associate with S a quantifier-free formula S’ which is satisfiable iff S is. As follows: Inductively associate a quantifier-free H’ with each subformula H of S, as follows: • If H is atomic: H’=H (no change!) • If H is a truth functional compound: H’=H • If H=E ...
... Proof of Part 2 Making use of Part 1, associate with S a quantifier-free formula S’ which is satisfiable iff S is. As follows: Inductively associate a quantifier-free H’ with each subformula H of S, as follows: • If H is atomic: H’=H (no change!) • If H is a truth functional compound: H’=H • If H=E ...
Notes 2.7 – Rational Functions
... with each other. How many handshakes would be required for each person to shake hands with each person 1 time? ...
... with each other. How many handshakes would be required for each person to shake hands with each person 1 time? ...
MATH 311: COMPLEX ANALYSIS — COMPLEX NUMBERS
... • Q is not complete: limits that “ought” to exist in Q fail to do so, e.g., 2. • Q is not algebraically closed: polynomials that “ought” to have solutions in Q fail to do so, e.g., X 2 + 1. The smallest complete field containing Q is the real numbers R. But R is not algebraically closed, e.g., X 2 + ...
... • Q is not complete: limits that “ought” to exist in Q fail to do so, e.g., 2. • Q is not algebraically closed: polynomials that “ought” to have solutions in Q fail to do so, e.g., X 2 + 1. The smallest complete field containing Q is the real numbers R. But R is not algebraically closed, e.g., X 2 + ...
Keiichi Komatsu
... After 50 years, Iwasawa proved the following theorem using class field theory: Theorem 2 [2]. Let k be an algebraic number field, K a finite Galois extension of k and the Galois group G ( K / k ) is a p-group (p: any prime). Assume there is at most one prime, which ramifies in K over k. If p does no ...
... After 50 years, Iwasawa proved the following theorem using class field theory: Theorem 2 [2]. Let k be an algebraic number field, K a finite Galois extension of k and the Galois group G ( K / k ) is a p-group (p: any prime). Assume there is at most one prime, which ramifies in K over k. If p does no ...
s01.pdf
... Numerical analysis is the study of methods used to generate approximate solutions to mathematical problems. Many problems in engineering and science are most suitably formulated in mathematical terms. Only the simplest problems can be solved using analytical techniques and approximate solutions must ...
... Numerical analysis is the study of methods used to generate approximate solutions to mathematical problems. Many problems in engineering and science are most suitably formulated in mathematical terms. Only the simplest problems can be solved using analytical techniques and approximate solutions must ...
Prove
... To prove a theorem (proposition, lemma) of the form p ⇒ q, we often attempt to build a bridge of implications p ⇒ p1 ⇒ p2 ⇒ · · · ⇒ q2 ⇒ q1 ⇒ q. To obtain such a bridge, we might try to use deductive reasoning (”what can we conclude from p?”) to get p1 from p, then again to get p2 from p1 , and so o ...
... To prove a theorem (proposition, lemma) of the form p ⇒ q, we often attempt to build a bridge of implications p ⇒ p1 ⇒ p2 ⇒ · · · ⇒ q2 ⇒ q1 ⇒ q. To obtain such a bridge, we might try to use deductive reasoning (”what can we conclude from p?”) to get p1 from p, then again to get p2 from p1 , and so o ...
Non-standard analysis

The history of calculus is fraught with philosophical debates about the meaning and logical validity of fluxions or infinitesimal numbers. The standard way to resolve these debates is to define the operations of calculus using epsilon–delta procedures rather than infinitesimals. Non-standard analysis instead reformulates the calculus using a logically rigorous notion of infinitesimal numbers.Non-standard analysis was originated in the early 1960s by the mathematician Abraham Robinson. He wrote:[...] the idea of infinitely small or infinitesimal quantities seems to appeal naturally to our intuition. At any rate, the use of infinitesimals was widespread during the formative stages of the Differential and Integral Calculus. As for the objection [...] that the distance between two distinct real numbers cannot be infinitely small, Gottfried Wilhelm Leibniz argued that the theory of infinitesimals implies the introduction of ideal numbers which might be infinitely small or infinitely large compared with the real numbers but which were to possess the same properties as the latterRobinson argued that this law of continuity of Leibniz's is a precursor of the transfer principle. Robinson continued:However, neither he nor his disciples and successors were able to give a rational development leading up to a system of this sort. As a result, the theory of infinitesimals gradually fell into disrepute and was replaced eventually by the classical theory of limits.Robinson continues:It is shown in this book that Leibniz's ideas can be fully vindicated and that they lead to a novel and fruitful approach to classical Analysis and to many other branches of mathematics. The key to our method is provided by the detailed analysis of the relation between mathematical languages and mathematical structures which lies at the bottom of contemporary model theory.In 1973, intuitionist Arend Heyting praised non-standard analysis as ""a standard model of important mathematical research"".