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A tensor is a generalization of the concepts of vectors and matrices. Tensors allow one to express physical laws in a form that applies to any coordinate system. For this reason, they are used extensively in continuum mechanics and the theory of relativity. A tensor is a system of quantities that satisfies a multi-dimensional transformation law when passing from one coordinate system to another. It takes the form: Notice that the contravariant indices i1,i2,i3,...in are written as superscripts, and that the covariant indices j1,j2,j3,...jm are written as subscripts.
[edit] Contravariant and covariant vectorsThis section makes use of the Einstein notation convention, to represent tensors. When transforming coordinates, quantities in the new coordinate system are represented by being 'barred'( A contravariant vector is a tensor of order 1(Ti) which transforms as at each event in spacetime when one goes from the A covariant vector is a tensor of order 1(Ti) which transforms as [edit] General tensorsIn general, the value of a tensor field at an event in spacetime is an element of a vector space which is the tensor product of multiple copies of the tangent space (contravariant vectors) and multiple copies of the cotangent space (covariant vectors). As such, it is a smooth (C∞) mapping from the base space of a vector bundle to the total space which when projected back onto the base space has returned to its starting point. The tensor product of contravariant and covariant vectors is a tensor such that: This is sometimes termed the tensor transformation law. The sum of two tensors satisfying the same transformation law also satisfies it, and is thus called a tensor. The difference of two tensors satisfying the same transformation law also satisfies it. The product of a tensor and a real number is a tensor satisfying the same transformation law. This linearity & homogenity, makes the space of tensors itself a vector space. [edit] See also
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