1 0 3 0 -1 2 0 6 Let A= 0 -3 -6 0 -2 0 0 -92 0 -2 6 0 -1-2 2 -9 -1 0 0 0 -1 [10 3 0-1 0-1 0 0120 3 0 reduced row echelon form of A is 0 0 0 1 -3 0) 00000 1 00000 0 0 Row Space basis: Column Space basis: Null Space basis: Rank: Nullity: UD U Find a basis for the row space of A, a basis for the column space of A, a basis for the null space of A, the rank of A, and the nullity of A. (Note that the
1 0 3 0 -1 2 0 6 Let A= 0 -3 -6 0 -2 0 0 -92 0 -2 6 0 -1-2 2 -9 -1 0 0 0 -1 [10 3 0-1 0-1 0 0120 3 0 reduced row echelon form of A is 0 0 0 1 -3 0) 00000 1 00000 0 0 Row Space basis: Column Space basis: Null Space basis: Rank: Nullity: UD U Find a basis for the row space of A, a basis for the column space of A, a basis for the null space of A, the rank of A, and the nullity of A. (Note that the
1 0 3 0 -1 2 0 6 Let A= 0 -3 -6 0 -2 0 0 -92 0 -2 6 0 -1-2 2 -9 -1 0 0 0 -1 [10 3 0-1 0-1 0 0120 3 0 reduced row echelon form of A is 0 0 0 1 -3 0) 00000 1 00000 0 0 Row Space basis: Column Space basis: Null Space basis: Rank: Nullity: UD U Find a basis for the row space of A, a basis for the column space of A, a basis for the null space of A, the rank of A, and the nullity of A. (Note that the
Branch of mathematics concerned with mathematical structures that are closed under operations like addition and scalar multiplication. It is the study of linear combinations, vector spaces, lines and planes, and some mappings that are used to perform linear transformations. Linear algebra also includes vectors, matrices, and linear functions. It has many applications from mathematical physics to modern algebra and coding theory.