Artificial Intelligence, Deep Learning, Machine Learning, Mathematics, Gpt 4.
learnable matrices. this embarks on a journey of diagonalizing the matrix A, denoted as A = Λ(γeiθ)Λ⁻¹, where γ and θ are real values within the space R^d. This transformation leads to the derivation of An−m = Λ(γeiθ)^(n−m)Λ⁻¹. To streamline the process, let’s absorb Λ into the matrices W_Q and