A tensor field is a smooth section of a vector bundle formed from tensor products of the tangent bundle and cotangent bundle. With covector factors and vector factors it belongs to
Its coefficients in any local frame vary smoothly. Different conventions list the two counts in different orders, so the factor order should be specified. Tensor contractions use the canonical evaluation of a covector on a vector and are independent of the frame.
A multilinear operation on vector fields is tensorial when it is linear over smooth functions in every argument. Its value at a point then depends only on the argument vectors at that point. To see this, use a smooth cutoff function to reduce to local fields, expand them in a local frame, and apply linearity over smooth functions to their coefficients. A smoothly valued tensorial operation therefore defines a tensor field. The curvature of an affine connection is tensorial, whereas a covariant derivative differentiates a scalar coefficient in its second argument and is not tensorial there.
A tensor derivation is a real-linear operation preserving every tensor type, obeying the tensor-product Leibniz rule, and commuting with every tensor contraction. A derivation of smooth functions and a real-linear operator on vector fields satisfying extend uniquely to a tensor derivation. On a differential one-form it must satisfy
This expression is linear over smooth functions in . In a local frame , the dual rule is . Apply the product rule to every coefficient and frame factor to define the extension; these dual signs cancel under contraction. Frame changes agree by differentiating the inverse matrix. Cutoffs prove locality and hence uniqueness from local expansions.
For a smooth vector field , the Lie derivative is the tensor derivation determined by and . The identity permits its unique extension. On a differential one-form,
On differential forms it agrees with the usual Lie derivative of a differential form and Cartan's magic formula.
For a smooth function and vector field ,
on every tensor field, with interpreted as the endomorphism . Both sides vanish on functions; on vector fields this follows from . Both are contraction-compatible tensor derivations, so agreement on functions and vector fields proves equality on all tensor types. In particular .
A smooth endomorphism of the tangent bundle defines the tensor derivation by and . On a differential one-form, . On a general tensor field, it acts by in each vector factor and by the negative dual action in each covector factor. The two actions cancel in each contracted pairing, proving compatibility with tensor contraction.

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A tensor field is a mathematical construct that generalizes the concept of scalars and vectors to higher dimensions, allowing for the representation of more complex relationships in a variety of contexts, particularly in physics and engineering. ### Definition **Tensor**: A tensor is a multi-dimensional array of numerical values that transforms according to specific rules under a change of coordinates. Tensors can be classified based on their rank (or order): - **Scalar**: A tensor of rank 0 (single number).