1/16
Looks like no tags are added yet.
Name | Mastery | Learn | Test | Matching | Spaced |
---|
No study sessions yet.
Span
A set of all possible linear combination in a vector
Linear Combination
Created when multiplying each vector by a scalar and adding them togetherto form a new vector.
Linearly Independent
No vectors in the set can be written as a linear combination of others
Linear Transformation
A function from R^n to R^m that satisifies additive and homogenous propertiees
Collumns Space
The set of all possible linear combinations of the column vectors of a matrix
Nullspace
The set of all solutions to the equation Ax=0, subspace of R^m
Transpose
When switching the rows to columns
Inverse
A and B are called this if AB=I and BA=!
Dimensions
The number of vectors in a basis for V
Rank
Number of linearly independent columns
Nullity
Number of free variables
Determinant
A scalar value from a square matrix that determines invertibility
Eigenvalue
A scalar lambda that satisfies the equation Av=lambda*v
Eigenvector
A vector that satisfies x=/= 0, and the equation Ax=lambda*x
Eigenspace
The set of all eigenvectors to the corresponding eigenvalue
Diagonalizable
If we find an inverse matrix P and a diagonal matrix D, the matrix is…
Orthogonal
If all vectors in the set are perpendicular