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1 How to Read and Do Proofs [1]
1 How to Read and Do Proofs [1]

41(3)
41(3)

A Simple Tableau System for the Logic of Elsewhere
A Simple Tableau System for the Logic of Elsewhere

On the Product of Divisors of $n$ and of $sigma (n)
On the Product of Divisors of $n$ and of $sigma (n)

Symbolic Logic I: The Propositional Calculus
Symbolic Logic I: The Propositional Calculus

Interpolated Schur multiple zeta values
Interpolated Schur multiple zeta values

... In other words the sum over all vertex-disjoint path systems in the graph of Figure 2 gives the truncated interpolated Schur multiple zeta values ζNt (k) for t = 1 and N = 7, which we will explain now. The part of the sum corresponding to the first column of the above Young tableaux k corresponds to ...
Bounded-degree graphs can have arbitrarily large slope numbers
Bounded-degree graphs can have arbitrarily large slope numbers

An Introduction to Proofs and the Mathematical Vernacular 1
An Introduction to Proofs and the Mathematical Vernacular 1

... of mathematical techniques for solving various types of problems. Along the way you were offered “proofs” of many of the fundamental relationships and formulas (stated as “theorems”). Perhaps occasionally you were asked to “show” or “prove” something yourself as a homework problem. For the most part ...
Gentzen`s original consistency proof and the Bar Theorem
Gentzen`s original consistency proof and the Bar Theorem

... wanted a way to understand the truth of a sentence of number theory that is in some sense ‘finitary’ but at the same time supported classical reasoning in number theory. In this respect, the original paper as well as the 1936 paper go beyond the original Hilbert program of finding finitary consisten ...
The Semantic Complexity of some Fragments of English
The Semantic Complexity of some Fragments of English

... In addition, we assume that, following generation of an IP by these rules, relative pronouns are subject to wh-movement to produce the observed word-order. For our purposes, we may take the wh-movement rule to require: (i) the empty position CSpec must be filled by movement of a RelPro from within t ...
Chapter 1, Algebra of the Complex Plane
Chapter 1, Algebra of the Complex Plane

Incompleteness in the finite domain
Incompleteness in the finite domain

Large gaps between consecutive prime numbers
Large gaps between consecutive prime numbers

... of the remaining numbers. There are alternative approaches using explicit choices for ap ; we will choose our ap at random. (The set V of numbers surviving this second sieving has about the same size in each case.) If |V | 6 π(x) − π(δx), the number of “very large” primes, then we perform a (rather ...
Chapter 2 Limits and continuity
Chapter 2 Limits and continuity

... Being a polynomial, f is then continuous on [1, 2]. Since f (1) = −1 < 0 and f (2) = 5 > 0, we can then apply Bolzano’s theorem to find some x ∈ (1, 2) such that f (x) = 0. Theorem 2.17 (Square roots). Given any y ≥ 0, there exists a unique real number x ≥ 0 ...
Fermat`s little theorem, Chinese Remainder Theorem
Fermat`s little theorem, Chinese Remainder Theorem

Introduction to Logic
Introduction to Logic

The greatest common divisor: a case study for program extraction
The greatest common divisor: a case study for program extraction

Carmichael numbers with three prime factors
Carmichael numbers with three prime factors

Deep Sequent Systems for Modal Logic
Deep Sequent Systems for Modal Logic

Divide and congruence applied to eta-bisimulation
Divide and congruence applied to eta-bisimulation

Incompleteness in the finite domain
Incompleteness in the finite domain

... sense that also includes the study of first order theories called bounded arithmetic. Since there is a close connection between propositional proof systems and first order theories, we view these two concepts as nonuniform and uniform versions of the same concept. To give an example of a connection be ...
Combinatorics
Combinatorics

Lecture 3: January 14 3.1 Primality Testing (continued)
Lecture 3: January 14 3.1 Primality Testing (continued)

Notes 3 : Modes of convergence
Notes 3 : Modes of convergence

41(4)
41(4)

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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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