An object point moving linearly from a point A to B, according to (Rowland, 2018) is said to be a linear transformation. For example two vectors q and w can be expressed as
T : q + w
Where, T: q w . The values contained in a linear transformation function may be embedding that is injective or surjective. u, v EUR V and c is a scalar quantity. If we take two vector spaces V and W. Therefore we can represent T as T : V W, where T(v) =0 for all the values v EUR V. T forms a linear transformation, which is referred as zero transformation. For T(v) = v where, v EUR V forms identity transformation of the vector space V.
Matrices can also be used to represent these transformation as, u, v Rn. There is relationship between road function and the linear transformation (Rowland, 2018). Since the triangular formations are on move superimposing on the next space occupied by the previous ones, then it is possible to get the inverse along the same line given in matrices of the linear transformations.
T(cu) = A(cu) = cAu = cT(u). And c is a scalar. Represented as,
If we take the vector v Rn . Then, for Vector u can be projected to give matrix variables as shown by the magnitude and the formula given above (360 Create Ltd, h. , 2018). So, if the triangles is taken to in its action cause on the road function, hence it is easy to get its effects in its current projected point as well as their magnitudes.
For vector w Rn then we get the following matrices projections.
proj,v(u+w) = proj,v(u)+proj,v(w) and proj,v(cu) = c (proj,v(u)).
Projections made in this form has a unique characteristic. They can be written as the sum of the vectors along the vector v and the perpendicular vector v as u = proj,v(u) + (u projv(u)).in this it is therefore easy to sum up all the resultant vectors the triangles in the road function as they change their position I'm their progressive nature from point A to point B. Without the knowledge of the linear transformations, it would be practically difficult to to study the road function completely (360 Create Ltd, h. , 2018). The incorporation of the vector projections and their matrix nature and calculation using the knowledge of taking instantaneous point along the projection line and getting their matrix forms assist a lot. Also the speed, magnitude and directions taken by different point can be known and inversed if there any need of recalculation or finding the condition the triangles were along the way at any instant point and the effects that the surfaces may have caused to it.
Kernel effects on linear transformations is also a key thing because they compliments vectors. Kernel of T, denoted as kerT and is represented as ker(T) = {v V : T(v) = 0}. The vector space in this case is referred to as the isomorphism. T can be one- on - one or onto a certain vectors along the same scale. This help in establishing road function by mapping some objects on other and finding their effects (360 Create Ltd, h. , 2018).
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