Physlib

Physlib.SpaceAndTime.Time.Derivatives

13 declarations

definition

Time derivative of f:TimeMf : \text{Time} \to M

#deriv

Given a function f:TimeMf : \text{Time} \to M, where MM is a topological vector space over R\mathbb{R} (specifically, an additive commutative group and a module over R\mathbb{R} with a topology), the time derivative of ff is a function from Time\text{Time} to MM. For each tTimet \in \text{Time}, the value of the derivative is defined as the Fréchet derivative of ff at tt evaluated at the unit element 1Time1 \in \text{Time}.

definition

Time derivative notation t\partial_t

#term∂ₜ

The symbol t\partial_t is a notation for the time derivative operator `deriv`. For a function f:TimeMf : \text{Time} \to M, where MM is a topological vector space over R\mathbb{R}, tf\partial_t f denotes the derivative of ff with respect to time.

theorem

Time.deriv f(t)=fderiv f(t)(1)\text{Time.deriv } f(t) = \text{fderiv } f(t)(1)

#deriv_eq

Let MM be a topological vector space over R\mathbb{R} (specifically, an additive commutative group and a module over R\mathbb{R} with a topology). For any function f:TimeMf : \text{Time} \to M and any time tTimet \in \text{Time}, the time derivative of ff at tt, denoted by Time.deriv f(t)\text{Time.deriv } f(t), is equal to the Fréchet derivative of ff at tt evaluated at the unit element 1Time1 \in \text{Time}.

theorem

t(kf)=ktf\partial_t (k \cdot f) = k \cdot \partial_t f

#deriv_smul

Let f:TimeRdf : \text{Time} \to \mathbb{R}^d be a differentiable function and kRk \in \mathbb{R} be a scalar. For any time tTimet \in \text{Time}, the time derivative of the scaled function kfk \cdot f is equal to the scalar kk multiplied by the time derivative of ff, that is, t(kf(t))=ktf(t)\partial_t (k \cdot f(t)) = k \cdot \partial_t f(t).

theorem

t(f)=tf\partial_t (-f) = -\partial_t f

#deriv_neg

Let MM be a normed vector space over the real numbers R\mathbb{R}. For any function f:TimeMf : \text{Time} \to M and any time tTimet \in \text{Time}, the time derivative of the negative of ff at tt is equal to the negative of the time derivative of ff at tt, expressed as t(f)(t)=tf(t)\partial_t (-f)(t) = -\partial_t f(t).

theorem

The time derivative of a constant function is 00

#deriv_const

Let MM be a normed vector space over the real numbers R\mathbb{R}. For any constant element mMm \in M, the time derivative of the constant function f(t)=mf(t) = m at any time tt is equal to zero, that is, t(λt,m)=0\partial_t (\lambda t, m) = 0.

theorem

The time derivative of a CC^\infty function is differentiable

#deriv_differentiable_of_contDiff

Let MM be a real normed space. If a function f:TimeMf : \text{Time} \to M is of class CC^\infty, then its time derivative tf:TimeM\partial_t f : \text{Time} \to M is differentiable.

theorem

The time derivative of a CC^\infty function is CC^\infty

#deriv_contDiff_of_contDiff

Let MM be a real normed space. If a function f:TimeMf : \text{Time} \to M is of class CC^\infty, then its time derivative tf\partial_t f is also of class CC^\infty.

theorem

If f(t,x)f(t, x) is Cn+1C^{n+1}, then ft(t,)\frac{\partial f}{\partial t}(t, \cdot) is CnC^n

#deriv_contDiff_of_space

Let MM be a real normed space and f:Time×Space dMf : \text{Time} \times \text{Space } d \to M be a function. If the uncurried function (t,x)f(t,x)(t, x) \mapsto f(t, x) is of class Cn+1C^{n+1}, then for any fixed tTimet \in \text{Time}, the function xft(t,x)x \mapsto \frac{\partial f}{\partial t}(t, x) is of class CnC^n on Space d\text{Space } d, where ft\frac{\partial f}{\partial t} denotes the time derivative.

theorem

If all components fif_i are differentiable, then ff is differentiable

#differentiable_euclid

Let f:TimeRnf : \text{Time} \to \mathbb{R}^n be a function from time into an nn-dimensional Euclidean space. If for every coordinate index ii, the component function tf(t)it \mapsto f(t)_i is differentiable over R\mathbb{R}, then the function ff is differentiable over R\mathbb{R}.

theorem

ddt(fμ)=(dfdt)μ\frac{d}{dt}(f_\mu) = (\frac{df}{dt})_\mu for Euclidean functions

#deriv_euclid

Let f:TimeRnf : \text{Time} \to \mathbb{R}^n be a differentiable function from time into an nn-dimensional Euclidean space. For any coordinate index μ\mu and any time tTimet \in \text{Time}, the derivative of the μ\mu-th component function tf(t)μt \mapsto f(t)_\mu is equal to the μ\mu-th component of the derivative of ff. That is, ddt(f(t)μ)=(dfdt(t))μ \frac{d}{dt}(f(t)_\mu) = \left( \frac{df}{dt}(t) \right)_\mu

theorem

D(fμ)(t)(Δt)=(Df(t)(Δt))μD(f_\mu)(t)(\Delta t) = (Df(t)(\Delta t))_\mu for Euclidean functions

#fderiv_euclid

Let f:TimeRnf: \text{Time} \to \mathbb{R}^n be a differentiable function into an nn-dimensional Euclidean space. For any coordinate index μ\mu and time values t,ΔtTimet, \Delta t \in \text{Time}, the Frechet derivative of the component function tf(t)μt \mapsto f(t)_\mu at tt applied to the increment Δt\Delta t is equal to the μ\mu-th component of the Frechet derivative of ff at tt applied to Δt\Delta t. That is, D(fμ)(t)(Δt)=(Df(t)(Δt))μ D(f_\mu)(t)(\Delta t) = (Df(t)(\Delta t))_\mu where DD denotes the Frechet derivative over the real numbers.

theorem

ddt(f(t)i)=(ddtf(t))i\frac{d}{dt}(f(t)_i) = (\frac{d}{dt}f(t))_i for Lorentz vectors

#deriv_lorentzVector

Let f:TimeVectordf : \text{Time} \to \text{Vector}_d be a differentiable function from the time domain to the space of dd-dimensional Lorentz vectors. For any time tTimet \in \text{Time} and any coordinate index iFin 1Fin di \in \text{Fin } 1 \oplus \text{Fin } d, the time derivative of the ii-th component function tf(t)it \mapsto f(t)_i is equal to the ii-th component of the time derivative of ff at tt. That is, ddt(f(t)i)=(dfdt(t))i \frac{d}{dt} (f(t)_i) = \left( \frac{df}{dt}(t) \right)_i where ddt\frac{d}{dt} denotes the time derivative `Time.deriv`.