if you choose an x value and calculate the y value multiple times and then plot all points, you will get a straight line
yes, also this question belongs in the linear algebra forum not the abstract algebra forum
Linear algebra is restricted to a limited set of transformations whereas algebra, in general, is not. The restriction imposes restrictions on what can be a linear transformation and this gives the family of linear transformations a special mathematical structure.
The history of eigenvalues is significant in the development of linear algebra because it allows for the analysis of linear transformations and systems of equations. Eigenvalues help in understanding the behavior of matrices and their applications in fields such as physics, engineering, and computer science.
Lis - linear algebra library - was created in 2005.
In linear algebra, an eigenvalue being zero indicates that the corresponding eigenvector is not stretched or compressed by the linear transformation. This means that the transformation collapses the vector onto a lower-dimensional subspace, which can provide important insights into the structure and behavior of the system being studied.
Linear Algebra is a branch of mathematics that enables you to solve many linear equations at the same time. For example, if you had 15 lines (linear equations) and wanted to know if there was a point where they all intersected, you would use Linear Algebra to solve that question. Linear Algebra uses matrices to solve these large systems of equations.
you don't go from algebra to calculus and linear algebra. you go from algebra to geometry to advanced algebra with trig to pre calculus to calculus 1 to calculus 2 to calculus 3 to linear algebra. so since you got an A+ in algebra, I think you are good.
Arthur Sylvester Peters has written: 'Lectures on linear algebra' -- subject(s): Differential equations, Linear, Linear Differential equations 'Linear algebra' -- subject(s): Algebra
In linear algebra, the unit eigenvector is important because it represents a direction in which a linear transformation only stretches or shrinks, without changing direction. It is associated with an eigenvalue, which tells us the amount of stretching or shrinking that occurs in that direction. This concept is crucial for understanding how matrices behave and for solving systems of linear equations.
Linear means a straight line.
Linear Algebra is a special "subset" of algebra in which they only take care of the very basic linear transformations. There are many many transformations in Algebra, linear algebra only concentrate on the linear ones. We say a transformation T: A --> B is linear over field F if T(a + b) = T(a) + T(b) and kT(a) = T(ka) where a, b is in A, k is in F, T(a) and T(b) is in B. A, B are two vector spaces.
Richard C. Penney has written: 'Linear Algebra, Textbook and Solutions Manual' 'Linear Algebra with Student Resource Manual and Survey Set' 'Linear Algebra 1st Edition with How Read Do Proofs Math 3rd Edition and Student Resource Manual Set' 'Linear Algebra, Solutions Manual' 'Student Resource Manual to Accompany, Linear Algebra'