Rangnullityteoreema

Rangnullityteoreema, also known as the Rank-Nullity Theorem, is a fundamental result in linear algebra that relates the dimensions of the kernel and the image of a linear transformation. The theorem is applicable to both finite-dimensional and infinite-dimensional vector spaces.

The theorem states that for any linear transformation T from a vector space V to a vector space W, the dimension of the kernel (null space) of T plus the dimension of the image (range) of T equals the dimension of the domain V. Mathematically, this is expressed as:

dim(ker(T)) + dim(im(T)) = dim(V)

Here, dim denotes the dimension of a vector space, ker(T) represents the kernel of T, and im(T) represents the image of T.

The Rank-Nullity Theorem has several important implications. It provides a way to determine the dimension of the kernel or the image of a linear transformation when the other is known. It also helps in understanding the behavior of linear transformations and their associated matrices. The theorem is widely used in various areas of mathematics, including algebra, geometry, and analysis.