A Linear Transformation

Let $ \mathbf{T}$ be a transformation from a vector space into the same vector space. That is, for any vector $ \mathbf{u}$, $ \mathbf{T}\mathbf{u}$ is also a vector of the same dimensions as $ \mathbf{u}$. Then $ \mathbf{T}$ is linear if and only if

$\displaystyle \mathbf{T}(\alpha \mathbf{u} + \beta \mathbf{w}) = \alpha \mathbf{T}\mathbf{u} + \beta \mathbf{T}\mathbf{w}\ $   for every real$\displaystyle \ \alpha\ $   and$\displaystyle \ \beta$ (2.8.1.1)

[NOTE: $ f$ is a linear function of $ x$ if and only if $ f(x) = \alpha x$ where $ \alpha$ is a real number. For example $ f(x) = 2x +
3$ is not a linear function of $ x$ even though it is often referred to as such.]
A linear transformation from a vector space into another vector space is also called a second-order tensor.