dim
Represents the dimension of a vector space or algebraic structure in mathematics.
Overview
Essential in linear algebra and abstract mathematics for denoting the number of independent vectors in a basis or the dimension of mathematical objects.
- Commonly used in theoretical mathematics and physics to specify vector space dimensions
- Appears frequently in linear transformations and basis calculations
- Important in describing properties of mathematical structures like rings, fields, and modules
- Often encountered in academic papers and advanced mathematical texts discussing algebraic structures
Examples
Showing the dimension of a vector space V.
\dim V = nExpressing the dimension of the kernel in linear algebra.
\dim \ker(T) + \dim \text{im}(T) = \dim VCalculating dimension in a direct sum of vector spaces.
\dim(U \oplus W) = \dim U + \dim W