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Linear transformations operators in Euclidean space

Suppose that for any a we can assign, according to a certain rule, some element a. E En- We call this rule an operator A a = (a). Operator A is called linear if [Pg.534]

At the same time, by applying operator A to the basis vector we obtain a new vector e, which in turn can be decomposed in terms of the basis vectors  [Pg.534]

On the other hand, we can also express vector a in the same basis by [Pg.534]

Comparing (A.18) with (A. 19), we find a very important relationship between the scalar components of the vectors a and a  [Pg.534]

The matrix [Aki] is called the matrix of operator A. It describes the transformation of the scalar components of the vector by the linear operator A. [Pg.534]


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Euclidean

Euclidean space

In linear spaces

In operator space

In transformations

Linear operations

Linear operator

Linear space

Linear transformation

Linearizing transformation

Operations transformation

Operator space

Operators transformed

Space transformations

Transformation operator

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