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Unformatted text preview: REVIEW HOURLY I Math 21b, O. Knill DEFINITIONS. Linear subspace ~ X , ~x, ~ y X, R ~x + ~ y X , ~x X . Matrix A is a n m matrix, it has m columns and n rows, maps R m to R n . Square matrix n n matrix, maps R n to R n . Vector n 1 matrix = column vector, 1 n matrix = row vector. Linear transformation T : R n R m , ~x 7 A~x , T ( ~x + ~ y ) = T ( ~x ) + T ( ~ y ) , T ( ~x ) = T ( ~x ). Column vector of A are images of standard basis vectors ~ e 1 , . . . , ~ e n . Linear system of equations A~x = ~ b , n equations, m unknowns. Consistent system A~x = ~ b : for every ~ b there is at least one solution ~x . Vector form of linear equation x 1 ~v 1 + . . . + x n ~v n = ~ b , ~v i columns of A . Matrix form of linear equation ~w i ~x = b i , ~w i rows of A . Augmented matrix of A~x = ~ b is the matrix [ A  b ] which has one column more as A . Coefficient matrix of A~x = ~ b is the matrix A . Matrix multiplication [ AB ] ij = k A ik B kj , dot product of ith row of A with j th column of B . GaussJordan elimination A rref( A ) in row reduced echelon form. GaussJordan elimination steps: swapping rows, scaling rows, adding rows to other rows. Row reduced echelon form : every nonzero row has leading 1, columns with leading 1 are 0 away from leading 1, every row with leading 1 has every rows above with leading 1 to the left. Pivot column column with leading 1 in rref( A ). Redundant column column with no leading 1 in rref( A ). Rank of matrix A . Number of leading 1 in rref( A ). It is equal to dim(im( A ))....
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This note was uploaded on 04/06/2008 for the course MATH 21B taught by Professor Judson during the Spring '03 term at Harvard.
 Spring '03
 JUDSON
 Math, Linear Algebra, Algebra

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