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                        Linear algebra

                        Reading time: 1min

                        Suggeriment

                        You can find all the available commands related to linear algebra here.

                        Find here the operations of vectors and matrices. Vectors, which use brackets, are written horizontally. You can write them with the button of the men or directly with the keyboard.

                        Matrices are best written with the button of the menu. However, they can also be written with the keyboard as a vector of multiple same-dimension vectors, as in many programming languages. Once a matrix is created, you can still modify its layout. You can, for example, insert or remove columns and rows. There are buttons for that in the menu. Usually, they're disabled, but they become enabled when the cursor enters a matrix.

                        Vectors are automatically seen as matrices by some commands. You needn't be concerned about the conversion. The usual operations are aware of vectors and matrices. For example, the common product symbol means different things when used between a scalar and a vector, two vectors, a vector and a matrix, or two matrices.

                        Linear algebra
                        Makers  
                        Vector
                        Matrix
                        Determinant
                        Buttons for vectors
                        Scalar product, dot product
                        Vector product, cross product
                        Norm
                        Element of vector
                        Buttons about matrices
                        Determinant
                        Inverse
                        Transpose
                        Identity matrix
                        Element of matrix
                        Commands
                        Dimension of a vector
                        Dimensions of a matrix; first files, then rows
                        Rank of a matrix; max number of linearly independent rows or columns
                        A matrix whose rows are a base of the kernel
                        A matrix whose rows are a base of the image
                        A list of eigenvalues, repeated as many times as their multiplicity
                        A matrix whose rows are eigenvectors, ordered matching the eigenvalues result list
                        The Jordan normal form of the matrix, if it exists. It gives the lower triangular form but not the upper.
                        Angle between two vectors.

                        For the kernel(), image() and eigenvectors() commands, the result is a matrix whose columns are the vectors that form a base. Note that, because there are always many bases, there are many other correct results. You can get a particular vector from the result R using RT1, RT2, RT3,...

                        Matrix layout modifiers
                        Insert column at left
                        Insert column at right
                        Remove column
                        Insert row above
                        Insert row below
                        Remove row

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