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Solving logarithmic functions using Logarithmic Identities
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> Linear Algebra
Linear Algebra
Introduction
Linear algebra
is a branch of mathematics concerned with the study of vectors, with families of vectors called vector spaces or linear spaces, and with functions that input one vector and output another, according to certain rules. These functions are called linear maps or linear transformations and are often represented by matrices. Linear algebra is central to modern mathematics and its applications. An elementary application of linear algebra is to the solution of a systems of linear equations in several unknowns. More advanced applications are ubiquitous, in areas as diverse as abstract algebra and functional analysis. Linear algebra has a concrete representation in analytic geometry and is generalized in operator theory. It has extensive applications in the natural sciences and the social sciences. Nonlinear mathematical models can often be approximated by linear ones.
Source:
Wikipedia.org
Formulas
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Cartesian Coordinate
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Cylindrical Coordinate
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Spherical Coordinate
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Transform from Cartesian to Cylindrical Coordinate
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Transform from Cartesian to Spherical Coordinate
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Transform from Cylindrical to Cartesian Coordinate
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Transform from Spherical to Cartesian Coordinate
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Divergence Theorem/Gauss' Theorem
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Stokes' Theorem
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Definition of a Matrix
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Properties of Matrix Operations
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Definition of Zero Matrix
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Definition of Identity Matrix
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Properties of the Identity Matrix
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Definition of an Inverse of a Matrix
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Properties of Inverse Matrices
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Definition of the Determinant
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Properties of Determinants
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Definition of Triangular Matrices
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Two Null Identities
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Equality of Matrices
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Elementary Matrices
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Matrix Addition
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Matrix Multiplication
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Properties of Matrix Multiplication
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Scalar Multiplication
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The Transpose of a Matrix
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Properties of Transposes
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Gradient of a Scalar Field
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Divergence of a Vector Field
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Curl of a Vector Field
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