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Reduced derivative

Reduced derivative is a mathematics topic covered in the lgStudy science library. This page brings together a partial reference excerpt, illustrations, worked examples, real-world applications and a short study plan, so you can understand Reduced derivative rather than just read about it. In short: In mathematics, the reduced derivative is a generalization of the notion of derivative that is well-suited to the study of functions of bounded variation. Although functions of bounded variation have derivatives in the sense of Radon measures, it is desirable to have a derivative that takes values in the same space as the functions themselves.

Key takeaways

  • Reduced derivative belongs to mathematics; place it in that map before memorising details.
  • Learn the definition first, then one example that makes the definition concrete.
  • Connect Reduced derivative to a quantity you can measure, compute or draw — that is where exam questions come from.
  • Reproduce the core statement of Reduced derivative from memory before moving on to harder problems.

Reference excerpt

In mathematics, the reduced derivative is a generalization of the notion of derivative that is well-suited to the study of functions of bounded variation. Although functions of bounded variation have derivatives in the sense of Radon measures, it is desirable to have a derivative that takes values in the same space as the functions themselves. Although the precise definition of the reduced derivative is quite involved, its key properties are quite easy to remember:

it is a multiple of the usual derivative wherever it exists; at jump points, it is a multiple of the jump vector. The notion of reduced derivative appears to have been introduced by Alexander Mielke and Florian Theil in 2004.

Definition Let X be a separable, reflexive Banach space with norm || || and fix T > 0. Let BV−([0, T]; X) denote the space of all left-continuous functions z : [0, T] → X with bounded variation on [0, T]. For any function of time f, use subscripts +/− to denote the right/left continuous versions of f, i.e.

f + ( t ) = lim s ↓ t f ( s ) ; {\displaystyle f_{+}(t)=\lim _{s\downarrow t}f(s);}

f − ( t ) = lim s ↑ t f ( s ) . {\displaystyle f_{-}(t)=\lim _{s\uparrow t}f(s).}

For any sub-interval [a, b] of [0, T], let Var(z, [a, b]) denote the variation of z over [a, b], i.e., the supremum

V a r ( z , [ a , b ] ) = sup { ∑ i = 1 k ‖ z ( t i ) − z ( t i − 1 ) ‖ | a = t 0 < t 1 < ⋯ < t k = b , k ∈ N } . {\displaystyle \mathrm {Var} (z,[a,b])=\sup \left\{\left.\sum _{i=1}^{k}\|z(t_{i})-z(t_{i-1})\|\right|a=t_{0}<t_{1}<\cdots <t_{k}=b,k\in \mathbb {N} \right\}.}

The first step in the construction of the reduced derivative is the "stretch" time so that z can be linearly interpolated at its jump points. To this end, define

τ ^ : [ 0 , T ] → [ 0 , + ∞ ) ; {\displaystyle {\hat {\tau }}\colon [0,T]\to [0,+\infty );}

τ ^ ( t ) = t + ∫ [ 0 , t ] ‖ d z ‖ = t + V a r ( z , [ 0 , t ] ) . {\displaystyle {\hat {\tau }}(t)=t+\int _{[0,t]}\|\mathrm {d} z\|=t+\mathrm {Var} (z,[0,t]).}

The "stretched time" function τ̂ is left-continuous (i.e. τ̂ = τ̂−); moreover, τ̂− and τ̂+ are strictly increasing and agree except at the (at most countable) jump points of z. Setting T̂ = τ̂(T), this "stretch" can be inverted by

t ^ : [ 0 , T ^ ] → [ 0 , T ] ; {\displaystyle {\hat {t}}\colon [0,{\hat {T}}]\to [0,T];}

t ^ ( τ ) = max { t ∈ [ 0 , T ] | τ ^ ( t ) ≤ τ } . {\displaystyle {\hat {t}}(\tau )=\max\{t\in [0,T]|{\hat {\tau }}(t)\leq \tau \}.}

Using this, the stretched version of z is defined by

z ^ ∈ C 0 ( [ 0 , T ^ ] ; X ) ; {\displaystyle {\hat {z}}\in C^{0}([0,{\hat {T}}];X);}

… excerpt ends here. Continue reading the full article.

Worked examples

Example 1 — a first encounter with Reduced derivative

Start with the simplest possible case. Write down what Reduced derivative claims or describes in one sentence, then invent the smallest concrete situation in which that sentence is true. In mathematics, the smallest case is usually a single object, a single equation or a single measurement. Check that every symbol or term in your sentence has a meaning in that case.

Example 2 — changing one variable

Take the situation from Example 1 and change exactly one quantity: double it, halve it, or set it to zero. Predict what should happen to Reduced derivative before you calculate. Comparing your prediction with the result is the fastest way to find out whether you understand the idea or only the words.

Example 3 — an exam-style question

Typical questions about Reduced derivative ask you to (a) state it precisely, (b) apply it to given data, and (c) explain a limitation. Practise writing all three answers in under five minutes; the third part is what separates a full-mark answer from an average one.

Applications of Reduced derivative

In research
Reduced derivative appears in mathematics research whenever the underlying quantities have to be modelled precisely. Papers usually cite it as a starting assumption and then explore where it breaks down.
In technology and industry
Engineering practice reuses Reduced derivative in design rules, simulations and safety margins. Knowing the idea lets you read a specification sheet and understand why the numbers look the way they do.
In the classroom
Reduced derivative is common in secondary-school and first-year university syllabi. It links to neighbouring topics Differential calculus, Mathematical analysis, so understanding it makes those chapters shorter.
In everyday life
Look for Reduced derivative outside the textbook — in sport, cooking, traffic, electronics or the sky above you. An example you found yourself is remembered far longer than one you were given.
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How to study Reduced derivative in 20 minutes

  1. Read the reference excerpt below once, without taking notes.
  2. Close the page and write down what Reduced derivative means in your own words.
  3. Compare your version with the excerpt and mark what you missed.
  4. Work through the three examples above with pen and paper.
  5. Explain Reduced derivative out loud to somebody else — or to Teacher Smith in the lgStudy chat.

Frequently asked questions

What is Reduced derivative in simple terms?

In mathematics, the reduced derivative is a generalization of the notion of derivative that is well-suited to the study of functions of bounded variation. Although functions of bounded variation have derivatives in the sense of Radon measures, it is desirable to have a derivative that takes values…

Why does Reduced derivative matter?

Because it connects several mathematics ideas at once: it gives you a definition you can apply, a quantity you can calculate, and a way to check whether a result is plausible.

How should I study Reduced derivative?

Read the excerpt, restate it from memory, then work through the examples and applications listed on this page. The five-step study plan above takes about twenty minutes.

What does this page cover?

It gives you a compact reference excerpt plus original lgStudy explanations, examples, applications and study material on Reduced derivative.

Tags

  • Differential calculus
  • Mathematical analysis

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