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Physlib.SpaceAndTime.Space.DistConst

5 declarations

definition

Constant distribution mMm \in M on Space d\text{Space } d

#distConst

Let MM be a real normed space and dd be a natural number representing the dimension of the space. For any fixed vector mMm \in M, the constant distribution distConst(d,m)\text{distConst}(d, m) is the MM-valued tempered distribution on Space d\text{Space } d defined by its action on a Schwartz test function ϕS(Space d,R)\phi \in \mathcal{S}(\text{Space } d, \mathbb{R}) as the integral: \[ \int_{\text{Space } d} \phi(x) \cdot m \, dx \] where dxdx denotes the volume measure on Space d\text{Space } d.

theorem

The partial derivative of a constant distribution is zero

#distDeriv_distConst

Let MM be a real normed space and dd be a natural number. For any fixed vector mMm \in M, let distConst(d,m)\text{distConst}(d, m) be the MM-valued tempered distribution on Space d\text{Space } d that maps a test function ϕ\phi to the integral ϕ(x)mdx\int \phi(x) \cdot m \, dx. Then, for any index μ{0,,d1}\mu \in \{0, \dots, d-1\}, the partial derivative of this constant distribution in the direction of the μ\mu-th basis vector, denoted by distDeriv μ\text{distDeriv } \mu, is zero.

theorem

The Gradient of a Constant Distribution is Zero

#distGrad_distConst

For any dimension dNd \in \mathbb{N} and any real number mRm \in \mathbb{R}, let distConst(d,m)\text{distConst}(d, m) be the constant distribution on Space d\text{Space } d that maps a Schwartz test function ϕ\phi to the integral Space dϕ(x)mdx\int_{\text{Space } d} \phi(x) \cdot m \, dx. Then, the distributional gradient of this constant distribution is zero, i.e., (distConst(d,m))=0\nabla (\text{distConst}(d, m)) = 0.

theorem

The distributional divergence of a constant distribution is zero

#distDiv_distConst

For any dimension dNd \in \mathbb{N} and any vector mm in the dd-dimensional Euclidean space Rd\mathbb{R}^d, the distributional divergence of the constant distribution associated with mm on Space d\text{Space } d is equal to zero.

theorem

The distributional curl of a constant distribution in R3\mathbb{R}^3 is zero

#distCurl_distConst

Let mR3m \in \mathbb{R}^3 be a constant vector. Let distConst(3,m)\text{distConst}(3, m) be the constant distribution on the 33-dimensional space Space 3\text{Space } 3 (isomorphic to R3\mathbb{R}^3) that maps a Schwartz test function ϕS(Space 3,R)\phi \in \mathcal{S}(\text{Space } 3, \mathbb{R}) to the integral Space 3ϕ(x)mdx\int_{\text{Space } 3} \phi(x) \cdot m \, dx. Then the distributional curl of this constant distribution is the zero distribution: \[ \text{distCurl}(\text{distConst}(3, m)) = 0. \]