Let and each be a connection on a vector bundle. Their difference is tensorial, so with . Extend to the endomorphism bundle connection. Expanding with the supplied graded Leibniz rule gives the curvature difference formula
For the --bimodule , the Hochschild chain complex is
with boundary
Then
The Hochschild cochain complex is with
and .
A derivation into a bimodule is a -linear map satisfying
It is an inner derivation when for some , where . The degree-one cocycle equation is precisely the Leibniz rule, and the degree-one coboundaries are the inner derivations. Therefore the First Hochschild cohomology as outer derivations is
Let be multiplication and , equipped with the outer bimodule structure. The universal bimodule derivation
satisfies . Composition with defines
For a derivation , its inverse image under this map is
If , the Leibniz rule shows that this formula is both left and right -linear. Moreover every element of is , proving existence and uniqueness.
For , the corresponding map is
These are exactly the maps which extend to bimodule maps .
The Leibniz rule rewrites the left side as . By a distribution with zero derivative is constant,
The Dirac delta multiplication identity supplies a particular solution, and the preceding division result supplies all solutions of . Hence
Multiplying by and then differentiating verifies the equation. The coordinate-multiplication kernel and the constant-derivative kernel show that no additional solutions are missing.
The Paley–Wiener–Schwartz theorem in its closed-ball form says that a tempered distribution is supported in if and only if its Fourier transform is the real restriction of an entire function on satisfying, for some and integer ,
The distribution is unique by Fourier inversion. More generally a compact convex support set replaces by its support function .
For the forward implication, a compactly supported distribution has finite order of a distribution, say , on a fixed neighborhood of its support. Define
using a cutoff equal to one near the support. Differentiation with respect to each complex coordinate is allowed in this pairing and gives , so is entire.
To obtain the exact radius , rather than an enlarged radius, choose a cutoff function equal to one near and supported in , with derivatives through order bounded by . Set . The finite-order bound and the Leibniz rule give
This proves the required growth estimate.
For the converse, has at most polynomial growth on real frequencies, so define its inverse tempered distribution by
Let a compactly supported test function lie in a half-space , with and . By contour shifting,
Here is the decay needed to justify the shift and then let grow. Repeated integration by parts, applying to , gives for every integer ,
Choose . For each fixed , this decay makes the vertical sides of a large rectangle vanish in the one complex coordinate parallel to ; Cauchy integral theorem then supplies the contour identity. Combining the two bounds yields
Thus vanishes on such test functions. Every point outside has a neighborhood of this form. A partition of unity therefore proves , completing the converse. The same argument with separating half-spaces proves the compact-convex-set form. This is the contour-shift proof of the Paley–Wiener–Schwartz theorem.
For a regular function , the change of variables gives
The map is continuous on the Schwartz space, so duality extends the dilation of a distribution to
Its Fourier transform obeys . If the original support is in the unit ball, the theorem bounds by . Hence
The converse theorem gives the support law for distributional dilation
A derivation of centred at the -point is a -linear map satisfying the twisted Leibniz rule
The Zariski tangent space is
Since , extends uniquely to the localization by . Restriction gives a linear map
Conversely, every has the unique extension
The quotient rule verifies the Leibniz identity, and the assumption that is not a zero divisor makes the localization representation compatible with equality of fractions. Extension and restriction are inverse, so the natural map is an isomorphism.
Let . Differentiating Legendre's differential equation times and using the Leibniz rule gives
The induction step follows by differentiating this equation once: the derivative of the coefficient contributes the additional term . Thus
For fixed , this is negative for every sufficiently large .
By the Leibniz rule,
After multiplication by , the term is , and every other term has lower degree. Thus is a monic polynomial of degree . Direct calculation gives
These are the monic normalization of the generalized Laguerre polynomials with parameter .
The multivariable Leibniz rule writes each derivative of as a finite sum of products
Each term is bounded by a constant times
Hence
Applying the distributional Leibniz rule twice gives
Eliminating the middle term proves
Choose with . Parts i and ii and the identity just proved, with and , yield
Thus explicit continuous functions of compact support are
For any vector field , apply the Leibniz rule to the scalar :
Using and expanding the Lie bracket in a coordinate chart leaves
The connection terms cancel because the Levi-Civita connection is torsion-free. Applying this formula to each slot of the metric tensor and using metric compatibility gives
Equivalently, one may prove both identities at a point in normal coordinates; since both sides are tensors, the result then holds in every coordinate system.
The Leibniz rule writes every derivative of as a finite sum of products of derivatives of the two factors. Multiplying the corresponding symbol estimates adds their orders, so
A Riemannian metric on a complex manifold is a Kähler metric when its complex-linear extension is a Hermitian form on each tangent space and its fundamental two-form
is closed. Equivalently, is a positive real closed -form, making a Kähler manifold.
The Lefschetz operator of a Kähler manifold and its adjoint are
Because and has type , both and vanish. The graded Leibniz rule therefore gives .
Writing formal adjoints with stars, define the three Laplacians by
The supplied Kähler identities identity gives, by complex conjugation and taking adjoints,
Expanding these commutators and using shows that the mixed terms in vanish and that . Since , it follows that
The adjoint of gives . Hence
where the last equality is the adjoint of . Thus , and therefore every power , commutes with . It follows that sends every -harmonic -form to a -harmonic -form whenever .
True. Repeated use of the Leibniz rule and the polynomial Taylor formula gives
The Leibniz rule writes every derivative of as a finite sum of products of derivatives of the factors. Multiplying their symbol bounds adds the orders, so
The symbol class consists of such that, for every compact and all multi-indices ,
The defining estimate gives
The Leibniz rule gives
and the triangle inequality gives
These are the basic rules of symbol calculus.
For a Riemannian metric on an ambient manifold and an embedded submanifold, let be orthogonal projection. Project the restriction of a connection to an embedded submanifold to obtain . Since , the Leibniz rule and linearity over smooth functions hold, making an affine connection. If the ambient connection is the Levi-Civita connection, pairing with tangent vectors shows that is a metric connection; projecting the zero-torsion identity shows it is a torsion-free connection. By uniqueness, is the induced Levi-Civita connection.
For a holomorphic subbundle and quotient , the second fundamental form is . The Leibniz rule gives , and holomorphicity of the subbundle makes its part vanish. Thus : the form factor is a cotangent bundle, not a tangent bundle.
Over every field, including characteristic two, there is a natural isomorphism
The middle summand maps to the mixed product . Monomial bases prove bijectivity, and the Leibniz rule makes the map equivariant for Lie algebra representations.
For an integer and sufficiently regular bounded functions, . The Leibniz rule and derivative interpolation give the estimate. In a differentiated semilinear wave equation, this separates a controlled low-order coefficient from an arbitrarily high Sobolev norm, allowing propagation of smoothness after a fixed base norm has been controlled.