Physlib.SpaceAndTime.Space.DistConst
5 declarations
Constant distribution on
#distConstLet be a real normed space and be a natural number representing the dimension of the space. For any fixed vector , the constant distribution is the -valued tempered distribution on defined by its action on a Schwartz test function as the integral: \[ \int_{\text{Space } d} \phi(x) \cdot m \, dx \] where denotes the volume measure on .
The partial derivative of a constant distribution is zero
#distDeriv_distConstLet be a real normed space and be a natural number. For any fixed vector , let be the -valued tempered distribution on that maps a test function to the integral . Then, for any index , the partial derivative of this constant distribution in the direction of the -th basis vector, denoted by , is zero.
The Gradient of a Constant Distribution is Zero
#distGrad_distConstFor any dimension and any real number , let be the constant distribution on that maps a Schwartz test function to the integral . Then, the distributional gradient of this constant distribution is zero, i.e., .
The distributional divergence of a constant distribution is zero
#distDiv_distConstFor any dimension and any vector in the -dimensional Euclidean space , the distributional divergence of the constant distribution associated with on is equal to zero.
The distributional curl of a constant distribution in is zero
#distCurl_distConstLet be a constant vector. Let be the constant distribution on the -dimensional space (isomorphic to ) that maps a Schwartz test function to the integral . Then the distributional curl of this constant distribution is the zero distribution: \[ \text{distCurl}(\text{distConst}(3, m)) = 0. \]
