Quick Linear Algebra notation question

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SUMMARY

The discussion clarifies the notation used in linear algebra for transformations, specifically the meaning of T(x) and T(x1, x2). T(x) represents the result of applying the transformation T to the vector x, which is computed by multiplying the transformation matrix of T by the coordinate vector of x. In the case of a two-dimensional transformation, T(x1, x2) indicates the application of T to the vector (x1, x2), where x1 and x2 are scalar values. For transformations with domains other than two-dimensional, the interpretation of T(x1, x2) is not straightforward.

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jofree87
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For transformations, what exactly does T(x) mean?

Does it mean T is the transformation matrix multiplied by a vector?

How about T(x1, x2) ?
 
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T(x) (or simply Tx) means the result of applying the transformation T to the vector x. If you have the coordinate representations of these objects, i.e., the matrix of T and the coordinates of the vector x, then the coordinates of the vector Tx are indeed given by multiplying the matrix of T by the coordinate vector of x, in that order.

If T happens to be a transformation whose domain space is two-dimensional, then T(x_1, x_2) probably means the result of applying T to the vector (x_1, x_2) where x_1, x_2 are numbers. If the domain space of T is other than two-dimensional, there is no obvious candidate for the meaning of T(x_1, x_2).
 

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