Pre-measure
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Pre-measure
In mathematics, a pre-measure is a set function that is, in some sense, a precursor to a '' bona fide'' measure on a given space. Indeed, one of the fundamental theorems in measure theory states that a pre-measure can be extended to a measure. Definition Let R be a ring of subsets (closed under union and relative complement) of a fixed set X and let \mu_0 : R \to , \infty/math> be a set function. \mu_0 is called a pre-measure if \mu_0(\varnothing) = 0 and, for every countable (or finite) sequence A_1, A_2, \ldots \in R of pairwise disjoint sets whose union lies in R, \mu_0 \left(\bigcup_^\infty A_n\right) = \sum_^\infty \mu_0(A_n). The second property is called \sigma-additivity. Thus, what is missing for a pre-measure to be a measure is that it is not necessarily defined on a sigma-algebra (or a sigma-ring). Carathéodory's extension theorem It turns out that pre-measures give rise quite naturally to outer measure In the mathematical field of measure theory, an outer ...
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Set Function
In mathematics, especially measure theory, a set function is a function whose domain is a family of subsets of some given set and that (usually) takes its values in the extended real number line \R \cup \, which consists of the real numbers \R and \pm \infty. A set function generally aims to subsets in some way. Measures are typical examples of "measuring" set functions. Therefore, the term "set function" is often used for avoiding confusion between the mathematical meaning of "measure" and its common language meaning. Definitions If \mathcal is a family of sets over \Omega (meaning that \mathcal \subseteq \wp(\Omega) where \wp(\Omega) denotes the powerset) then a is a function \mu with domain \mathcal and codomain \infty, \infty/math> or, sometimes, the codomain is instead some vector space, as with vector measures, complex measures, and projection-valued measures. The domain is a set function may have any number properties; the commonly encountered properties and categ ...
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Mathematics
Mathematics is an area of knowledge that includes the topics of numbers, formulas and related structures, shapes and the spaces in which they are contained, and quantities and their changes. These topics are represented in modern mathematics with the major subdisciplines of number theory, algebra, geometry, and analysis, respectively. There is no general consensus among mathematicians about a common definition for their academic discipline. Most mathematical activity involves the discovery of properties of abstract objects and the use of pure reason to prove them. These objects consist of either abstractions from nature orin modern mathematicsentities that are stipulated to have certain properties, called axioms. A ''proof'' consists of a succession of applications of deductive rules to already established results. These results include previously proved theorems, axioms, andin case of abstraction from naturesome basic properties that are considered true starting points of t ...
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Bona Fide
In human interactions, good faith ( la, bona fides) is a sincere intention to be fair, open, and honest, regardless of the outcome of the interaction. Some Latin phrases have lost their literal meaning over centuries, but that is not the case with ''bona fides'', which is still widely used and interchangeable with its generally-accepted modern-day English translation of ''good faith''. It is an important concept within law and business. The opposed concepts are bad faith, ''mala fides'' (duplicity) and perfidy (pretense). In contemporary English, the usage of ''bona fides'' is synonymous with credentials and identity. The phrase is sometimes used in job advertisements, and should not be confused with the ''bona fide'' occupational qualifications or the employer's good faith effort, as described below. ''Bona fides'' ''Bona fides'' is a Latin phrase meaning "good faith". Its ablative case is ''bona fide'', meaning "in good faith", which is often used as an adjective to m ...
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Measure (mathematics)
In mathematics, the concept of a measure is a generalization and formalization of geometrical measures (length, area, volume) and other common notions, such as mass and probability of events. These seemingly distinct concepts have many similarities and can often be treated together in a single mathematical context. Measures are foundational in probability theory, integration theory, and can be generalized to assume negative values, as with electrical charge. Far-reaching generalizations (such as spectral measures and projection-valued measures) of measure are widely used in quantum physics and physics in general. The intuition behind this concept dates back to ancient Greece, when Archimedes tried to calculate the area of a circle. But it was not until the late 19th and early 20th centuries that measure theory became a branch of mathematics. The foundations of modern measure theory were laid in the works of Émile Borel, Henri Lebesgue, Nikolai Luzin, Johann Radon, C ...
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Ring Of Sets
In mathematics, there are two different notions of a ring of sets, both referring to certain Family of sets, families of sets. In order theory, a nonempty family of sets \mathcal is called a ring (of sets) if it is closure (mathematics), closed under union (set theory), union and intersection (set theory), intersection.. That is, the following two statements are true for all sets A and B, #A,B\in\mathcal implies A \cup B \in \mathcal and #A,B\in\mathcal implies A \cap B \in \mathcal. In measure theory, a nonempty family of sets \mathcal is called a ring (of sets) if it is closed under union and relative complement (set-theoretic difference).. That is, the following two statements are true for all sets A and B, #A, B \in \mathcal implies A \cup B \in \mathcal and #A, B \in \mathcal implies A \setminus B \in \mathcal. This implies that a ring in the measure-theoretic sense always contains the empty set. Furthermore, for all sets and , :A\cap B=A\setminus(A\setminus B), which shows ...
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Union (set Theory)
In set theory, the union (denoted by ∪) of a collection of sets is the set of all elements in the collection. It is one of the fundamental operations through which sets can be combined and related to each other. A refers to a union of zero (0) sets and it is by definition equal to the empty set. For explanation of the symbols used in this article, refer to the table of mathematical symbols. Union of two sets The union of two sets ''A'' and ''B'' is the set of elements which are in ''A'', in ''B'', or in both ''A'' and ''B''. In set-builder notation, :A \cup B = \. For example, if ''A'' = and ''B'' = then ''A'' ∪ ''B'' = . A more elaborate example (involving two infinite sets) is: : ''A'' = : ''B'' = : A \cup B = \ As another example, the number 9 is ''not'' contained in the union of the set of prime numbers and the set of even numbers , because 9 is neither prime nor even. Sets cannot have duplicate elements, so the union of the sets and is . Multiple ...
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Relative Complement
In set theory, the complement of a set , often denoted by (or ), is the set of elements not in . When all sets in the universe, i.e. all sets under consideration, are considered to be members of a given set , the absolute complement of is the set of elements in that are not in . The relative complement of with respect to a set , also termed the set difference of and , written B \setminus A, is the set of elements in that are not in . Absolute complement Definition If is a set, then the absolute complement of (or simply the complement of ) is the set of elements not in (within a larger set that is implicitly defined). In other words, let be a set that contains all the elements under study; if there is no need to mention , either because it has been previously specified, or it is obvious and unique, then the absolute complement of is the relative complement of in : A^\complement = U \setminus A. Or formally: A^\complement = \. The absolute complement of is ...
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Countable Set
In mathematics, a set is countable if either it is finite or it can be made in one to one correspondence with the set of natural numbers. Equivalently, a set is ''countable'' if there exists an injective function from it into the natural numbers; this means that each element in the set may be associated to a unique natural number, or that the elements of the set can be counted one at a time, although the counting may never finish due to an infinite number of elements. In more technical terms, assuming the axiom of countable choice, a set is ''countable'' if its cardinality (its number of elements) is not greater than that of the natural numbers. A countable set that is not finite is said countably infinite. The concept is attributed to Georg Cantor, who proved the existence of uncountable sets, that is, sets that are not countable; for example the set of the real numbers. A note on terminology Although the terms "countable" and "countably infinite" as defined here are ...
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Pairwise Disjoint
In mathematics, two sets are said to be disjoint sets if they have no element in common. Equivalently, two disjoint sets are sets whose intersection is the empty set.. For example, and are ''disjoint sets,'' while and are not disjoint. A collection of two or more sets is called disjoint if any two distinct sets of the collection are disjoint. Generalizations This definition of disjoint sets can be extended to a family of sets \left(A_i\right)_: the family is pairwise disjoint, or mutually disjoint if A_i \cap A_j = \varnothing whenever i \neq j. Alternatively, some authors use the term disjoint to refer to this notion as well. For families the notion of pairwise disjoint or mutually disjoint is sometimes defined in a subtly different manner, in that repeated identical members are allowed: the family is pairwise disjoint if A_i \cap A_j = \varnothing whenever A_i \neq A_j (every two ''distinct'' sets in the family are disjoint).. For example, the collection of sets is di ...
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Sigma Additivity
In mathematics, an additive set function is a function mapping sets to numbers, with the property that its value on a union of two disjoint sets equals the sum of its values on these sets, namely, \mu(A \cup B) = \mu(A) + \mu(B). If this additivity property holds for any two sets, then it also holds for any finite number of sets, namely, the function value on the union of ''k'' disjoint sets (where ''k'' is a finite number) equals the sum of its values on the sets. Therefore, an additive set function is also called a finitely-additive set function (the terms are equivalent). However, a finitely-additive set function might not have the additivity property for a union of an ''infinite'' number of sets. A σ-additive set function is a function that has the additivity property even for countably infinite many sets, that is, \mu\left(\bigcup_^\infty A_n\right) = \sum_^\infty \mu(A_n). Additivity and sigma-additivity are particularly important properties of measures. They are abstr ...
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Sigma-ring
In mathematics, a nonempty collection of sets is called a -ring (pronounced ''sigma-ring'') if it is closed Closed may refer to: Mathematics * Closure (mathematics), a set, along with operations, for which applying those operations on members always results in a member of the set * Closed set, a set which contains all its limit points * Closed interval, ... under countable union and relative complementation. Formal definition Let \mathcal be a nonempty collection of sets. Then \mathcal is a -ring if: # Closed under countable unions: \bigcup_^ A_ \in \mathcal if A_ \in \mathcal for all n \in \N # Closed under relative complementation: A \setminus B \in \mathcal if A, B \in \mathcal Properties These two properties imply: \bigcap_^ A_n \in \mathcal whenever A_1, A_2, \ldots are elements of \mathcal. This is because \bigcap_^\infty A_n = A_1 \setminus \bigcup_^\left(A_1 \setminus A_n\right). Every -ring is a δ-ring but there exist δ-rings that are not -rings. Simi ...
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