Tensor & Matrix: Cartesian Vector & Transformation Rule?

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Constant arrays such as (v_1, v_2, v_3) represent components of a Cartesian vector that adhere to the transformation rule through coordinate rotation. The discussion raises the question of whether constant arrays a_{ij} can be classified as components of a Cartesian tensor, specifically if they satisfy the tensor transformation rule. The term "Cartesian" typically refers to a coordinate system rather than a tensor or vector, which are inherently coordinate-independent. In a 3 x 3 Cartesian coordinate system, the matrix in question serves as the tensor's representation within that framework. Clarification is provided that "Cartesian tensor" refers to this specific representation in Cartesian coordinates.
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Each set of constant numbers such as ##(v_1, v_2, v_3)## are the components of a constant Cartesian vector because by rotation of coordinates they satisfy the transformation rule. Can we consider each set of constant arrays ## a_{ij};i,j=1,2,3 ## as components of a Cartesian tensor? In other words, does each set of this type satisfy the tensor transformation rule?
 
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What do you mean by a Cartesian tensor? Cartesian is usually used to refer to a coordinate system, not a tensor, or a vector, both of which are coordinate-independent objects.
Given any 3 x 3 Cartesian coordinate system, the matrix you mention will be the representation in that coordinate system of a tensor.
 
andrewkirk said:
What do you mean by a Cartesian tensor? Cartesian is usually used to refer to a coordinate system, not a tensor, or a vector, both of which are coordinate-independent objects.
Given any 3 x 3 Cartesian coordinate system, the matrix you mention will be the representation in that coordinate system of a tensor.
Thanks. By "Cartesian tensor" I meant the representation of a tensor in Cartesian coordinate system.
 
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