
Group Theory in Physics
... See §1.5 for details. Structures with only internal operations: • Group ( G, ) • Ring ( R, +, ) : ( no e, or x1 ) • Field ( F, +, ) : Ring with e & x1 except for 0. Structures with external scalar multiplication: • Module ( M, +, ; R ) • Algebra ( A, +, ; R with e ) ...
... See §1.5 for details. Structures with only internal operations: • Group ( G, ) • Ring ( R, +, ) : ( no e, or x1 ) • Field ( F, +, ) : Ring with e & x1 except for 0. Structures with external scalar multiplication: • Module ( M, +, ; R ) • Algebra ( A, +, ; R with e ) ...
11.1: Matrix Operations - Algebra 1 and Algebra 2
... (+) Use matrices to represent and manipulate data, e.g., to represent payoffs or incidence relationships in a network. N.VM.7: Perform operations on matrices and use matrices in applications. (+) Multiply matrices by scalars to produce new matrices, e.g., as when all of the payoffs in a game a ...
... (+) Use matrices to represent and manipulate data, e.g., to represent payoffs or incidence relationships in a network. N.VM.7: Perform operations on matrices and use matrices in applications. (+) Multiply matrices by scalars to produce new matrices, e.g., as when all of the payoffs in a game a ...
Notes 11: Dimension, Rank Nullity theorem
... Let M be an m×n matrix. We have defined the rank of M to be the number of leading ones in the RREF of M. We examine our algorithm for finding a basis of im(M ). We start with the set of m column vectors of M and we remove some of them. Indeed we remove the columns corresponding to the free variables ...
... Let M be an m×n matrix. We have defined the rank of M to be the number of leading ones in the RREF of M. We examine our algorithm for finding a basis of im(M ). We start with the set of m column vectors of M and we remove some of them. Indeed we remove the columns corresponding to the free variables ...