Assertion: transformation | /r/HasProperty | linear
Facets:
Source sentences:
text: Some transformations that are non-linear on an n-dimensional Euclidean space Rn can be represented as linear transformations on the n+1-dimensional space Rn+1.
text: This combination of arrows suggests that transformation is both a circular and a linear process, or what we will refer to here as a process structure.
text: These two transformations are called linear transformations because the original data is simply multiplied or divided by a specific coefficient or a constant is subtracted or added.
text: Since space is assumed to be homogeneous, the transformation must be linear.
text: Since the transformation is linear any linear combination of vectors in its kernel are in it as well, and the kernel is a subspace of the domain of the transformation.