synthetic differential geometry
Introductions
from point-set topology to differentiable manifolds
geometry of physics: coordinate systems, smooth spaces, manifolds, smooth homotopy types, supergeometry
Differentials
Tangency
The magic algebraic facts
Theorems
Axiomatics
Models
differential equations, variational calculus
Chern-Weil theory, ∞-Chern-Weil theory
Cartan geometry (super, higher)
A bump function is a smooth function with compact support, especially one that is not zero on a space that is not compact.
One reason the category SmthMfd of smooth manifolds (with smooth functions between them) is important, hence one reason why differential geometry is special, is that a good supply of bump functions exists. This fact accounts for the great flexibility of smooth objects, in stark contrast to analytic geometry or algebraic varieties (since non-zero analytic or algebraic functions with compact support exist only on compact spaces). For instance, bump functions can be used to construct partitions of unity, which can in turn be used to smoothly patch together local structures into a global structure without obstruction, as for example Riemannian metrics and more generally inner products on vector bundles (see this prop.).
A bump function is a function on Cartesian space , for some with values in the real numbers
such that
is smooth;
has compact support.
For every closed ball there exists a bump function (def. ) with
Consider the function
given by
By construction the support of this function is the closed unit ball at the origin, .
We claim that is smooth. That it is smooth away from is clear, hence smoothness only need to be checked at , where it amounts to demanding that all the derivatives of the exponential function vanish as .
But that is the case since
This clearly tends to zero as . A quick way to see this is to consider the inverse function and expand the exponential to see that this tends to as :
The form of the higher derivatives is similar but with higher inverse powers of and so this conclusion remains the same for all derivatives. Hence is smooth.
Now for arbitrary radii define
This is clearly still smooth and .
Finally the function has support the closed ball .
Define
so that the family is a smooth approximation to the identity (of convolution, the Dirac functional), compactly supported on the closed ball of radius and having an -norm equal to . Then, it is standard that for any pair with compact and open in a cartesian space , we can choose an open containing and with compact closure contained in , and then taking the convolution product
of with the characteristic function , for sufficiently small, we obtain a smooth function equal to on and equal to outside .
By performing the above construction in charts, we obtain, in any smooth manifold, a smooth function equal to on any compact subspace and equal to outside any neighbourhood of . (This is a smooth regularity property.)
(Paley-Wiener-Schwartz theorem)
For the vector space of bump functions on Euclidean space is (algebraically and topologically) isomorphic, via the Fourier transform, to the space of entire functions on which satisfy the following estimate: there is a positive real number such that for every integer there is a real number such that:
Textbook account:
See also:
A different example is examined in detail in
One can also build bump functions that are nowhere analytic (as opposed to merely on the boundary of the support, as above) using, for instance, the Fabius function:
Last revised on September 12, 2024 at 13:32:23. See the history of this page for a list of all contributions to it.