Vectors and Geometry
Andrew Seagar
Abstract
Andrew Seagar
Abstract
Vectors in three dimensions form a particular subset of three-dimensional Clifford numbers. Although three-dimensional Clifford numbers have four grades and eight components, vectors retain only one of the grades and three of the components. The magnitude of a real valued vector is the square root of the sum of the squares of all of its coefficients. The signature plays no role, so the magnitude of a vector having the same components with either signature is the same. The inverse of a vector is another vector. A unit vector is used as a reference to determine what should happen when other vectors undergo a reflection. As with reflection, a unit reference vector is used to determine what happens when a vector undergoes a projection operation. Rotation is achieved by a sequence of two different reflections.
A significance statement is not available in the OpenAlex record.
A contribution statement is not available in the OpenAlex record.
Method details are not available in the OpenAlex metadata.
Findings are not separately available in the OpenAlex metadata.
Limitations are not available in the OpenAlex metadata.
Application details are not available in the OpenAlex metadata.
Vectors in three dimensions form a particular subset of three-dimensional Clifford numbers. Although three-dimensional Clifford numbers have four grades and eight components, vectors retain only one of the grades and three of the components. The magnitude of a real valued vector is the square root of the sum of the squares of all of its coefficients. The signature plays no role, so the magnitude of a vector having the same components with either signature is the same. The inverse of a vector is another vector. A unit vector is used as a reference to determine what should happen when other vectors undergo a reflection. As with reflection, a unit reference vector is used to determine what happens when a vector undergoes a projection operation. Rotation is achieved by a sequence of two different reflections.
Key concepts: Unit vector, Direction vector, Signature (topology), Reflection (computer programming), Projection (relational algebra), Mathematics, Vector projection, Euclidean vector