Topics in a Linear Algebra Course.docx
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Transcript of Topics in a Linear Algebra Course.docx
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7/25/2019 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