Difference between revisions of "Nabla derivative"

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(Properties of the $\nabla$-derivative)
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Let $\mathbb{T}$ be a [[time scale]]. If $\mathbb{T}$ has a right-scattered minimum $m$, then define $\mathbb{T}_{\kappa}=\mathbb{T} \setminus \{m\}$, otherwise let $\mathbb{T}_{\kappa}=\mathbb{T}$. Define the backward graininess function $\nu \colon \mathbb{T}_{\kappa} \rightarrow \mathbb{R}$ by
 
Let $\mathbb{T}$ be a [[time scale]]. If $\mathbb{T}$ has a right-scattered minimum $m$, then define $\mathbb{T}_{\kappa}=\mathbb{T} \setminus \{m\}$, otherwise let $\mathbb{T}_{\kappa}=\mathbb{T}$. Define the backward graininess function $\nu \colon \mathbb{T}_{\kappa} \rightarrow \mathbb{R}$ by
 
$$\nu(t) = t - \rho(t).$$
 
$$\nu(t) = t - \rho(t).$$
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==Properties of the $\nabla$-derivative==
 
==Properties of the $\nabla$-derivative==
 
[[Nabla differentiable implies continuous]]<br />
 
[[Nabla differentiable implies continuous]]<br />
 
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[[Nabla derivative at left-scattered]]<br />
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<strong>Theorem:</strong> If $f$ is continuous at $t$ and $t$ is left-scattered, then
 
$$f^{\nabla}(t) = \dfrac{f(t)-f(\rho(t))}{\nu(t)}.$$
 
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<strong>Proof:</strong>  █
 
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</div>
 
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{{:Relationship between nabla derivative and delta derivative}}
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[[Relationship between nabla derivative and delta derivative]]<br />
{{:Relationship between delta derivative and nabla derivative}}
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[[Relationship between delta derivative and nabla derivative]]<br />
  
 
=References=
 
=References=
 
[http://wwwp.cord.edu/faculty/andersod/p20.pdf Nabla dynamic equations on time scales - D. Anderson, J. Bullock, L. Erbe, A. Peterson, H. Tran]
 
[http://wwwp.cord.edu/faculty/andersod/p20.pdf Nabla dynamic equations on time scales - D. Anderson, J. Bullock, L. Erbe, A. Peterson, H. Tran]

Revision as of 00:55, 23 August 2016

Let $\mathbb{T}$ be a time scale. If $\mathbb{T}$ has a right-scattered minimum $m$, then define $\mathbb{T}_{\kappa}=\mathbb{T} \setminus \{m\}$, otherwise let $\mathbb{T}_{\kappa}=\mathbb{T}$. Define the backward graininess function $\nu \colon \mathbb{T}_{\kappa} \rightarrow \mathbb{R}$ by $$\nu(t) = t - \rho(t).$$

Let $f \colon \mathbb{T} \rightarrow \mathbb{R}$ and let $t \in \mathbb{T}_{\kappa}$. The $\nabla$-derivative of $f$ at $t$ is denoted by $f^{\nabla}(t)$ to be the number such that given any $\epsilon > 0$ there is a neighborhood $U$ of $t$ and $s \in U$, $$|f(\rho(t))-f(s)-f^{\nabla}(t)[\rho(t)-s]|\leq \epsilon|\rho(t)-s|.$$

Properties of the $\nabla$-derivative

Nabla differentiable implies continuous
Nabla derivative at left-scattered

Theorem: If $t$ is left-dense, then (if it exists), $$f^{\nabla}(t) = \lim_{s \rightarrow t}\dfrac{f(t)-f(s)}{t-s}.$$

Proof:

Theorem: If $f$ is differentiable at $t$, then $$f(\rho(t))=f(t)+\nu(t)f^{\nabla}(t).$$

Proof:

Theorem (Sum rule): $$(f+g)^{\nabla}(t)=f^{\nabla}(t)+g^{\nabla}(t).$$

Proof:

Theorem (Constant rule): If $\alpha$ is constant with respect to $t$, then $$(\alpha f)^{\nabla}(t) = \alpha f^{\nabla}(t).$$

Proof:

Theorem (Product rule,I): The following formula holds: $$(fg)^{\nabla}(t)=f^{\nabla}(t)g(t)+f(\rho(t))g^{\nabla}(t)).$$

Proof:

Theorem (Product rule,II): The following formula holds: $$(fg)^{\nabla}(t) = f(t)g^{\nabla}(t)+ f^{\nabla}(t)g(\rho(t)).$$

Proof:

Theorem (Quotient rule): The following formula holds: $$\left( \dfrac{f}{g} \right)^{\nabla}(t) = \dfrac{f^{\nabla}(t)g(t)-f(t)g^{\nabla}(t)}{g(t)g(\rho(t))}.$$

Proof:

Relationship between nabla derivative and delta derivative
Relationship between delta derivative and nabla derivative

References

Nabla dynamic equations on time scales - D. Anderson, J. Bullock, L. Erbe, A. Peterson, H. Tran