Functional central limit theorems and their associated large deviation principles for products of random matrices

Summary This paper establishes a functional central limit theorem for a product of random matrices. The sequence of matrices form a stationary process which is a -mixing. The individual matrices in the product become closer and closer to the identity matrix with longer and longer products. In addition, these perturbations from the identity matrix have mean zero. A large deviation principle for the limit process is proved.