The tensor product of vector bundles is formed fiberwise. Tensor products of local trivializations have transition functions given by tensor products of the original transition matrices.
The splitting principle for complex vector bundles makes pullback injective in integral cohomology and splits both bundles into lines with Chern roots and . The tensor product has roots . Expanding their six pairwise products gives the displayed formula. This integral computation does not divide by two, so it remains valid when the cohomology has two-torsion. In particular, taking trivial gives .
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.
For a covariant rank-two tensor field, pull back by the flow of a vector field and differentiate at zero flow time. Differentiating the evaluation point produces the first term above; differentiating the two coordinate Jacobians produces the remaining terms. In particular this formula gives the change in a metric tensor under an infinitesimal coordinate displacement. A perturbation defined relative to a fixed background consequently transforms as in the passive displacement convention. The formula applies to symmetric tensors as well as differential forms; tensor symmetry does not make the antisymmetric differential-form formula its definition.
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.
The tensor Lie derivative need not vanish at a point where its generating vector field vanishes. For , the local flow fixes zero but its differential rescales tangent vectors; even there. Straightening coordinates exist only at nonzero generator points. The flow definition remains valid at zeros and includes derivatives of the generator acting on tensor slots.
For every contravariant slot of a tensor field, the tensor Lie derivative contributes a negative derivative of its generating vector field; every covariant slot contributes a positive one. The remaining term differentiates the tensor's components along the generator. This follows from the flow definition of the Lie derivative of a tensor field and its product and contraction rules, without choosing a affine connection.
The Lie derivative of a tensor field satisfies . On smooth functions this is the definition of the Lie bracket of vector fields; on vector fields it follows from the Jacobi identity. The Leibniz rule and contraction compatibility extend the equality to tensor fields. The cyclic double-commutator identity also follows directly from associativity of operator composition.
For vector fields , the Lie derivative is the Lie bracket of vector fields . Pulling back by the local flow of and differentiating gives . No affine connection is needed.
For a smooth function and a vector field , the Lie derivative is . It is the derivative of along the local flow of .
For the local flow of a smooth vector field , pull a tensor field back to the fixed base point before differentiating. Pullback uses on vector factors and the dual of on covector factors. The chain rule gives . In coordinates, , so . Differentiation of pullback preserves tensor contractions and obeys the Leibniz rule for tensor products; hence this is the tensor derivation defining the Lie derivative of a tensor field.
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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