Convolution of a distribution with a test function
[9/0%]Prove that
for all and .
and for all and .
for all and .
Let be a compactly supported Lebesgue-summable function. Prove the continuity of the convolution operator
in the spaces and . Prove the continuity of this operator in the space in the case when is a measurable rapidly decreasing (i.e., for every ) function.
Prove that for a generalized function the map defines a continuous operator and the inclusion holds:
Prove that if a regular generalized function is generated by a test function , then for any generalized function the convolution is a regular function, generated by the convolution (which is computed by Definition 18.2).
Definition 18.2: For any test function (or , or ) its convolution with a generalized function (respectively, , ) as a function of the variable is defined as follows: .
Prove the identity for any generalized function .
Let , . The convolution is defined by the formula , i.e., . Prove that:
is a regular generalized function;
;
is not of greater than polynomial growth in at infinity.
Let , . The convolution is defined by the formula (cf. Problem 526). Prove that:
is a regular generalized function;
;
;
the operator is continuous.
Let be the space of infinitely differentiable functions on the torus (with the topology of uniform convergence of all derivatives), and the dual space of generalized functions. Define a convolution operation in and prove that .
Let be the Heaviside function on , defined by
and let be the Dirac measure.
Show that , if .
Show that .
Show that . (Here 1 denotes the locally integrable function whose value is 1 at every point and which is thought of as a distribution).
It follows that the associative law fails:
but