Linear Final

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17 Terms

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Span

A set of all possible linear combination in a vector

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Linear Combination

Created when multiplying each vector by a scalar and adding them togetherto form a new vector.

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Linearly Independent

No vectors in the set can be written as a linear combination of others

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Linear Transformation

A function from R^n to R^m that satisifies additive and homogenous propertiees

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Collumns Space

The set of all possible linear combinations of the column vectors of a matrix

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Nullspace

The set of all solutions to the equation Ax=0, subspace of R^m

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Transpose

When switching the rows to columns

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Inverse

A and B are called this if AB=I and BA=!

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Dimensions

The number of vectors in a basis for V

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Rank

Number of linearly independent columns

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Nullity

Number of free variables

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Determinant

A scalar value from a square matrix that determines invertibility

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Eigenvalue

A scalar lambda that satisfies the equation Av=lambda*v

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Eigenvector

A vector that satisfies x=/= 0, and the equation Ax=lambda*x

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Eigenspace

The set of all eigenvectors to the corresponding eigenvalue

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Diagonalizable

If we find an inverse matrix P and a diagonal matrix D, the matrix is…

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Orthogonal

If all vectors in the set are perpendicular