Topics in a Linear Algebra Course.docx

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    Topics in a Linear AlgebraCourse

    To learn more about a topic listed below, click the topic name to go tothe corresponding MathWorldclassroom page.

    Eigenvalue

    One of a set of special scalarsassociated with a linear system ofequations that describes that system'sfundamental modes. An eigenvector isassociated with each eigenvalue.

    Eigenvector

    One of a special set of vectorsassociated with a linear system ofequations. An eigenvalue is associatedwith each eigenvector.

    Euclidean pace

    The space of all n!tuples of realnumbers. "t is the generali#ation of thetwo dimensional plane and threedimensional space.

    "nner $roduct

    %& "n a vector space, a way to multiplyvectors together, with the result of thismultiplication being a scalar. %( Asynonym for dot product.

    )inear Algebra

    The study of linear systems of equations

    and their transformation properties.

    )inear Transformation

    A function from one vector space toanother. "f bases are chosen for thevector spaces, a linear transformationcan be given by a matri*.

    +atri* A concise and useful way of uniquelyrepresenting and working with lineartransformations. "n particular, for everylinear transformation, there e*ists e*actly

    one corresponding matri*, and everymatri* corresponds to a unique lineartransformation. The matri* is ane*tremely important concept in linearalgebra.

    +atri* "nverseiven a matri* M, the inverse is a newmatri* M!&that when multiplied by M,gives the identity matri*.

    +atri* +ultiplication

    The process of multiplying two matrices%each of which represents a lineartransformation, which forms a newmatri* corresponding to the matri*representation of the twotransformations' composition.

    -ormA quantity that describes the length, si#e,

    or e*tent of a mathematical obect.

    /ector pace

    A set that is closed under finite vectoraddition and scalar multiplication. Thebasic e*ample is n!dimensionalEuclidean space.

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    http://mathworld.wolfram.com/classroom/Eigenvalue.htmlhttp://mathworld.wolfram.com/classroom/Eigenvector.htmlhttp://mathworld.wolfram.com/classroom/EuclideanSpace.htmlhttp://mathworld.wolfram.com/classroom/InnerProduct.htmlhttp://mathworld.wolfram.com/classroom/LinearAlgebra.htmlhttp://mathworld.wolfram.com/classroom/LinearTransformation.htmlhttp://mathworld.wolfram.com/classroom/Matrix.htmlhttp://mathworld.wolfram.com/classroom/MatrixInverse.htmlhttp://mathworld.wolfram.com/classroom/MatrixMultiplication.htmlhttp://mathworld.wolfram.com/classroom/Norm.htmlhttp://mathworld.wolfram.com/classroom/VectorSpace.htmlhttp://mathworld.wolfram.com/classroom/Eigenvector.htmlhttp://mathworld.wolfram.com/classroom/EuclideanSpace.htmlhttp://mathworld.wolfram.com/classroom/InnerProduct.htmlhttp://mathworld.wolfram.com/classroom/LinearAlgebra.htmlhttp://mathworld.wolfram.com/classroom/LinearTransformation.htmlhttp://mathworld.wolfram.com/classroom/Matrix.htmlhttp://mathworld.wolfram.com/classroom/MatrixInverse.htmlhttp://mathworld.wolfram.com/classroom/MatrixMultiplication.htmlhttp://mathworld.wolfram.com/classroom/Norm.htmlhttp://mathworld.wolfram.com/classroom/VectorSpace.htmlhttp://mathworld.wolfram.com/classroom/Eigenvalue.html