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3. Abstract Boolean Algebras 3.1. Abstract Boolean Algebra.
3. Abstract Boolean Algebras 3.1. Abstract Boolean Algebra.

... a Boolean algebra behave so differently from addition and multiplication in the more familiar algebraic systems, such as the integers or real numbers, alternative notation, such as ∨ for + and ∧ for · , are often used instead. At the risk of creating confusion we shall use + and · when working in an ...
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... was certainly known to the Islamic algebraists and also to Leonardo of Pisa. Nevertheless, since it is the first detailed algebra in fifteenth-century France, we will consider some of its important ideas. ...
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Algebraic Geometric Coding Theory

... simplest of which is a technique called parity-check, where a single 0 or 1 is added to end of the data block so that the block has an even number of 1’s. If the data is contaminated at only one place during transmission, then the received block of data will have an odd number of 1’s. This tells the ...
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cylindric algebras and algebras of substitutions^) 167

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Linear algebra



Linear algebra is the branch of mathematics concerning vector spaces and linear mappings between such spaces. It includes the study of lines, planes, and subspaces, but is also concerned with properties common to all vector spaces.The set of points with coordinates that satisfy a linear equation forms a hyperplane in an n-dimensional space. The conditions under which a set of n hyperplanes intersect in a single point is an important focus of study in linear algebra. Such an investigation is initially motivated by a system of linear equations containing several unknowns. Such equations are naturally represented using the formalism of matrices and vectors.Linear algebra is central to both pure and applied mathematics. For instance, abstract algebra arises by relaxing the axioms of a vector space, leading to a number of generalizations. Functional analysis studies the infinite-dimensional version of the theory of vector spaces. Combined with calculus, linear algebra facilitates the solution of linear systems of differential equations.Techniques from linear algebra are also used in analytic geometry, engineering, physics, natural sciences, computer science, computer animation, and the social sciences (particularly in economics). Because linear algebra is such a well-developed theory, nonlinear mathematical models are sometimes approximated by linear models.
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