Lorentz transformations in time and two space dimensions
Abstract
In this article, matrix and vector formalisms for Lorentz transformations in time (t) and two space dimensions (x and y) are developed and discussed. Lorentz transformations conserve the squared interval t2 - x2 - y2. Examples of Lorentz transformations include boosts in arbitrary directions, which mix time ansd space, and rotations in space, which do not. Lorentz transformations can be described by matrices and coordinate vectors. Lorentz matrices comprise the special unitary group SO(1,2). The general form of a Lorentz matrix is derived, in terms of both components and block matrices. Each Lorentz matrix L has the Schmidt decomposition QDPt, where D is a diagonal matrix, and P and Q are orthogonal matrices. It also has the Schmidt-like decomposition R2BR1t, where B is a boost matrix, and R1 and R2 are rotation matrices. Hence, a Lorentz matrix is specified by three parameters, namely the boost energy γ, and the rotation angles θ1 and θ2. Each Lorentz matrix has a pair of reciprocal Schmidt coefficients (which are real), and a unit coefficient, which is its own reciprocal. It also has a pair of reciprocal eigenvalues (which are real or complex), and a unit eigenvalue. The physical significances of the input and output Schmidt vectors, and the eigenvectors, are discussed. Every Lorentz matrix can be written as the exponential of a generating matrix. There are three basic generators, which produce boosts along the x and y axes, and a rotation about the t axis (in the xy plane). These generators satisfy certain commutation relations, which show that SO(1,2) is isomorphic to Sp(2) and SU(1,1). Simple formulas are derived for the energy and angle parameters of a composite transformation, in terms of the parameters of its constituent transformations.
Turn this paper into a full lesson
ArcXiv compiles a staged curriculum from this paper: 8-12 lessons across beginner → advanced, synthesised section guides, visuals, flashcards, a quiz, exercises, and on-demand deep dives per section. Grounded in the abstract, never invented.