Linear Algebra Cheat Sheet - Thomas Finley

The Linear Algebra Cheat Sheet by Thomas Finley is a resource that provides a concise summary of key concepts and formulas in linear algebra. It is typically used by students or individuals studying linear algebra to quickly reference important information.

FAQ

Q: What is linear algebra?
A: Linear algebra is the branch of mathematics that deals with vector spaces and linear transformations.

Q: What are vectors?
A: Vectors are mathematical objects that can be added together and scaled by numbers to produce new vectors.

Q: What is a matrix?
A: A matrix is a rectangular array of numbers, symbols, or expressions arranged in rows and columns.

Q: What is a system of linear equations?
A: A system of linear equations is a set of equations where the unknowns are linear.

Q: How do you solve a system of linear equations?
A: There are several methods to solve a system of linear equations, including Gaussian elimination, matrix inversion, and Cramer's rule.

Q: What is a determinant?
A: The determinant is a numerical value that is computed from the elements of a square matrix.

Q: What is an eigenvector?
A: An eigenvector is a non-zero vector that only changes by a scalar factor when a linear transformation is applied to it.

Q: What is a diagonal matrix?
A: A diagonal matrix is a matrix in which all the non-diagonal elements are zeros.

Q: What are eigenvalues?
A: Eigenvalues are the scalar values that are associated with the eigenvectors of a matrix.

Q: What is the rank of a matrix?
A: The rank of a matrix is the maximum number of linearly independent rows or columns in the matrix.

Q: What is the dot product?
A: The dot product is a scalar operation that takes two vectors and returns a scalar.