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TheoremStatement: Literature-sourcedProof: AI-generatedprecheck passaudited 2026-09-04
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Derivations of smooth functions are exactly smooth vector fields

Statement

The assignment sending a smooth vector field X to the operator fXf defines a bijection between smooth vector fields on M and R-linear derivations D:C(M)C(M).

Facts & Assumptions

Given: An R-linear derivation D:C(M)C(M).

[L1]

Every smooth vector field acts as a derivation of C(M) (A vector field acts as a derivation of smooth functions).

[L2]

A derivation at a point is exactly a tangent vector at that point (Derivations at a point and the tangent space).

[L3]

In a chart, the coordinate derivations form a basis of the tangent space (Coordinate derivations form a basis of the tangent space).

[L4]

A vector field is smooth exactly when its coordinate components are smooth (Smoothness of a vector field is equivalent to smooth coordinate components).

[L5]

For a point inside an open set there is a smooth bump function equal to 1 on a neighbourhood of that point and supported in the open set (A manifold bump for a compact set inside an open set).

Proof

technique · direct
1.1

The forward map is well defined by [L1]: every smooth vector field X yields an R-linear derivation fXf.

L1
1.2

Fix pM. If global smooth functions f and g agree on a neighbourhood of p, choose an open set W on which f=g and use [L5] to choose χ:M[0,1] that is 1 on a neighbourhood of p and has support contained in W. Then χ(fg)=0, so evaluating the Leibniz rule for D at p gives 0=D(χ(fg))(p)=χ(p)D(fg)(p)+(fg)(p)D(χ)(p)=D(f)(p)D(g)(p). Thus fD(f)(p) depends only on the germ of f at p, and it defines a derivation Dp:Cp(M)R. By [L2], there is a unique tangent vector XpTpM with Xp([f])=Dp([f]).

L2L5given
2.1

Let pM, choose a chart (U,x1,,xn) around p, and use [L5] again to choose χ:M[0,1] that is 1 on a neighbourhood V of p and has support contained in U. For each i, let x~i be the global smooth function that equals χxi on U and 0 outside U. Then for every qV, the germs of x~i and xi agree at q, so [L3] writes Xq=iD(x~i)(q)xiq. Each coefficient function D(x~i)V is smooth, because D(x~i) is a global smooth function. Hence [L4] makes X smooth on V.

L3L4L5step 1.2given
3.1

Since every point has a neighbourhood V on which step 2.1 makes X smooth, the pointwise-defined tangent vectors Xp form a global smooth vector field X on M.

step 1.2step 2.1
4.1

By construction, Xf=D(f) for every smooth function f, so the map from smooth vector fields to derivations is surjective. If two smooth vector fields induce the same derivation, then their values at each point agree on every smooth function, hence are equal by [L2]; thus the map is injective.

L2step 1.2step 3.1
5.1

Therefore smooth vector fields and R-linear derivations of C(M) are in bijection.

step 1.1step 4.1

Depends on

Used by

Dependency tree · two levels

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Sources