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On Exhaustion of Domains - Department of Mathematics, Statistics
On Exhaustion of Domains - Department of Mathematics, Statistics

Irrationality of the Zeta Constants
Irrationality of the Zeta Constants

... a general technique for proving the irrationality of the zeta constants ζ(2n + 1) from the known irrationality of the beta constants L(2n + 1, χ), 1 6= n ∈ N. This technique provides another proof of the first odd case ζ(3), which have well known proofs of irrationalities, see [1], [2], [16], et al, ...
Lecture 3 Counting and Equally Likely Outcomes
Lecture 3 Counting and Equally Likely Outcomes

... two numbers. However, if a person is allowed to choose the same number twice, then the first two numbers can be chosen in 44 × 44 = 1936 ways. The above example makes a distinction between counting with replacement and counting without replacement. The second crucial element in counting is whether o ...
the strong law of large numbers when the mean is undefined
the strong law of large numbers when the mean is undefined

Notes on Quadratic Extension Fields
Notes on Quadratic Extension Fields

... constructible (do you remember why this is true?), we see that the desired square can be constructed if and only if π is a constructible number. We are going prove the following result, which, in view of what we’ve just said, shows that it is not possible to square the circle. Theorem 4 π is not a c ...
Post Systems in Programming Languages Pr ecis 1 Introduction
Post Systems in Programming Languages Pr ecis 1 Introduction

Chapter 3 Finite and infinite sets
Chapter 3 Finite and infinite sets

... Proof First, what does the statement mean, and what do we have to prove? It means that there is no way of arranging the real numbers in a sequence so they can be matched up with the natural numbers. So we have to show that, if someone claims to have a sequence containing all the real numbers, we can ...
Some Results for k ! + 1 and 2`3*5 ••` p ±1
Some Results for k ! + 1 and 2`3*5 ••` p ±1

... For N = Ä:!± 1, 2 g, fc g 30, N composite, a variety of methods were used to find the prime factors of N. Trial division to 10s or so was tried first, and the prime factors discovered by this method were eliminated. The number remaining, say L, was then checked by computing bL~l (mod L), as previous ...
PMAT 527/627 Practice Midterm
PMAT 527/627 Practice Midterm

... 1. Background: modular arithmetic, basic properties of divisibility, Euler’s theorem, the definition of the φ function, computing φ(n) given a factorization of n, Lagrange’s theorem, properties of cyclic groups. 2. Algorithmic complexity (O(f ), Θ(f ), Ω(f ), f ∼ g) 3. Exponentiation via repeated sq ...
hilbert theorem on lemniscate and the spectrum of the perturbed shift
hilbert theorem on lemniscate and the spectrum of the perturbed shift

Counting Your Way to the Sum of Squares Formula
Counting Your Way to the Sum of Squares Formula

... ways and then equate the two resulting expressions. In the two-part Resonance article [1], many such examples were studied. In this article, which may be regarded as a continuation of that one, we do the same for the formulas for the sum of the squares and the sum of the cubes of the first n natural ...
Full text
Full text

A Pascal-Type Triangle Characterizing Twin Primes
A Pascal-Type Triangle Characterizing Twin Primes

ON THE ERD¨OS-STRAUS CONJECTURE
ON THE ERD¨OS-STRAUS CONJECTURE

... corresponding to classes C1 , C2 , C3 , C4 , C8 , C15 , C27 , . . .. which shows a steep increase in the size of classes relative to the number of jumps. In [11], Yamamoto has a different approach from ours and obtains a lesser number of exceptions at least for the primes involved in Theorem 4. For e ...
Week 1 - UCR Math Dept.
Week 1 - UCR Math Dept.

Army Public School Kirkee Std VI Autumn Holiday H.W Subject
Army Public School Kirkee Std VI Autumn Holiday H.W Subject

on the behavior of members and their stopping times in collatz
on the behavior of members and their stopping times in collatz

Ultrasheaves
Ultrasheaves

full text (.pdf)
full text (.pdf)

31-3.pdf
31-3.pdf

Structure and Randomness in the prime numbers
Structure and Randomness in the prime numbers

... noisy at prime number times, and ...
T - STI Innsbruck
T - STI Innsbruck

... propositional symbols) in which each sentence in the KB is True • A valid sentence or tautology is a sentence that is True under all interpretations, no matter what the world is actually like or how the semantics are defined (example: “It’s raining or it’s not raining”) • An inconsistent sentence or ...
02_Artificial_Intelligence-PropositionalLogic
02_Artificial_Intelligence-PropositionalLogic

F - Teaching-WIKI
F - Teaching-WIKI

LESSON PLAN School Unit : Junior High School Subject
LESSON PLAN School Unit : Junior High School Subject

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Theorem



In mathematics, a theorem is a statement that has been proven on the basis of previously established statements, such as other theorems—and generally accepted statements, such as axioms. The proof of a mathematical theorem is a logical argument for the theorem statement given in accord with the rules of a deductive system. The proof of a theorem is often interpreted as justification of the truth of the theorem statement. In light of the requirement that theorems be proved, the concept of a theorem is fundamentally deductive, in contrast to the notion of a scientific theory, which is empirical.Many mathematical theorems are conditional statements. In this case, the proof deduces the conclusion from conditions called hypotheses or premises. In light of the interpretation of proof as justification of truth, the conclusion is often viewed as a necessary consequence of the hypotheses, namely, that the conclusion is true in case the hypotheses are true, without any further assumptions. However, the conditional could be interpreted differently in certain deductive systems, depending on the meanings assigned to the derivation rules and the conditional symbol.Although they can be written in a completely symbolic form, for example, within the propositional calculus, theorems are often expressed in a natural language such as English. The same is true of proofs, which are often expressed as logically organized and clearly worded informal arguments, intended to convince readers of the truth of the statement of the theorem beyond any doubt, and from which a formal symbolic proof can in principle be constructed. Such arguments are typically easier to check than purely symbolic ones—indeed, many mathematicians would express a preference for a proof that not only demonstrates the validity of a theorem, but also explains in some way why it is obviously true. In some cases, a picture alone may be sufficient to prove a theorem. Because theorems lie at the core of mathematics, they are also central to its aesthetics. Theorems are often described as being ""trivial"", or ""difficult"", or ""deep"", or even ""beautiful"". These subjective judgments vary not only from person to person, but also with time: for example, as a proof is simplified or better understood, a theorem that was once difficult may become trivial. On the other hand, a deep theorem may be simply stated, but its proof may involve surprising and subtle connections between disparate areas of mathematics. Fermat's Last Theorem is a particularly well-known example of such a theorem.
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