SUMMARY
A vector in mathematics is defined as a member of a linear vector space, which adheres to specific rules for vector addition and scalar multiplication. The discussion emphasizes that vectors can be represented as ordered sets of numbers that change predictably under coordinate transformations. While the common representation of vectors as arrows simplifies the concept, it does not encompass the full mathematical definition, which includes properties such as closure, associativity, and the existence of a null vector. The typical definition encountered in physics and engineering is that a vector is an element of \(\mathds{R}^n\), characterized by both magnitude and direction.
PREREQUISITES
- Understanding of linear vector spaces
- Familiarity with coordinate transformations
- Basic knowledge of vector operations (addition and scalar multiplication)
- Concept of tensors and their relationship to vectors
NEXT STEPS
- Research the properties of linear vector spaces in detail
- Learn about coordinate transformations and their effects on vector components
- Explore the concept of tensors, particularly rank-0 and rank-1 tensors
- Study the mathematical definition of vectors in the context of \(\mathds{R}^n\)
USEFUL FOR
Students and professionals in mathematics, physics, and engineering who seek a deeper understanding of vector definitions and their applications in various fields.