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Operational calculus

Operational calculus 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 Operational calculus rather than just read about it. In short: Operational calculus, also known as operational analysis, is a technique by which problems in analysis, in particular differential equations, are transformed into algebraic problems, usually the problem of solving a polynomial equation. History The idea of representing the processes of calculus, differentiation and integration, as operators has a long history that goes back to Gottfried Wilhelm Leibniz.

Key takeaways

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

Reference excerpt

Operational calculus, also known as operational analysis, is a technique by which problems in analysis, in particular differential equations, are transformed into algebraic problems, usually the problem of solving a polynomial equation.

History The idea of representing the processes of calculus, differentiation and integration, as operators has a long history that goes back to Gottfried Wilhelm Leibniz. The mathematician Louis François Antoine Arbogast was one of the first to manipulate these symbols independently of the function to which they were applied. This approach was further developed by Francois-Joseph Servois who developed convenient notations. Servois was followed by a school of British and Irish mathematicians including Charles James Hargreave, George Boole, Bownin, Carmichael, Doukin, Graves, Murphy, William Spottiswoode and Sylvester. Treatises describing the application of operator methods to ordinary and partial differential equations were written by Robert Bell Carmichael in 1855 and by Boole in 1859. This technique was fully developed by the physicist Oliver Heaviside in 1893, in connection with his work in telegraphy.

Guided greatly by intuition and his wealth of knowledge on the physics behind his circuit studies, [Heaviside] developed the operational calculus now ascribed to his name. At the time, Heaviside's methods were not rigorous, and his work was not further developed by mathematicians. Operational calculus first found applications in electrical engineering problems, for the calculation of transients in linear circuits after 1910, under the impulse of Ernst Julius Berg, John Renshaw Carson and Vannevar Bush. A rigorous mathematical justification of Heaviside's operational methods came only after the work of Bromwich that related operational calculus with Laplace transformation methods (see the books by Jeffreys, by Carslaw or by MacLachlan for a detailed exposition). Other ways of justifying the operational methods of Heaviside were introduced in the mid-1920s using integral equation techniques (as done by Carson) or Fourier transformation (as done by Norbert Wiener). A different approach to operational calculus was developed in the 1930s by Polish mathematician Jan Mikusiński, using algebraic reasoning. Norbert Wiener laid the foundations for operator theory in his review of the existential status of the operational calculus in 1926:

The brilliant work of Heaviside is purely heuristic, devoid of even the pretense to mathematical rigor. Its operators apply to electric voltages and currents, which may be discontinuous and certainly need not be analytic. For example, the favorite corpus vile on which he tries out his operators is a function which vanishes to the left of the origin and is 1 to the right. This excludes any direct application of the methods of Pincherle… Although Heaviside’s developments have not been justified by the present state of the purely mathematical theory of operators, there is a great deal of what we may call experimental evidence of their validity, and they are very valuable to the electrical engineers. There are cases, however, where they lead to ambiguous or contradictory results.

Principle The key element of the operational calculus is to consider differentiation as an operator p = ⁠d/dt⁠ acting on functions. Linear differential equations can then be recast in the form of "functions" F(p) of the operator p acting on the unknown function equaling the known function. Here, F is defining something that takes in an operator p and returns another operator F(p). Solutions are then obtained by making the inverse operator of F act on the known function. The operational calculus generally is typified by two symbols: the operator p, and the unit function 1. The operator in its use probably is more mathematical than physical, the unit function more physical than mathematical. The operator p in the Heaviside calculus initially is to represent the time differentiator ⁠d/dt⁠. Further, it is desired for this operator to bear the reciprocal relation such that p−1 denotes the operation of integration. In electrical circuit theory, one is trying to determine the response of an electrical circuit to an impulse. Due to linearity, it is enough to consider a unit step function H(t), such that H(t) = 0 if t < 0, and H(t) = 1 if t > 0. The simplest example of application of the operational calculus is to solve: p y = H(t), which gives y = p − 1 ⁡ H = ∫ 0 t H ( u ) d u = t H ( t ) . {\displaystyle y=\operatorname {p} ^{-1}H=\int _{0}^{t}H(u)\,\mathrm {d} u=t\,H(t).}

From this example, one sees that p − 1 {\displaystyle \operatorname {p} ^{-1}} represents integration. Furthermore n iterated integrations is represented by p − n , {\displaystyle \operatorname {p} ^{-n},} so that p − n ⁡ H ( t ) = t n n ! H ( t ) . {\displaystyle \operatorname {p} ^{-n}H(t)={\frac {t^{n}}{n!}}H(t).}

Continuing to treat p as if it were a variable,

… excerpt ends here. Continue reading the full article.

Worked examples

Example 1 — a first encounter with Operational calculus

Start with the simplest possible case. Write down what Operational calculus 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 Operational calculus 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 Operational calculus 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 Operational calculus

In research
Operational calculus 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 Operational calculus 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
Operational calculus is common in secondary-school and first-year university syllabi. It links to neighbouring topics Differential equations, Electrical engineering, Linear operators, so understanding it makes those chapters shorter.
In everyday life
Look for Operational calculus 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 Operational calculus in 20 minutes

  1. Read the reference excerpt below once, without taking notes.
  2. Close the page and write down what Operational calculus 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 Operational calculus out loud to somebody else — or to Teacher Smith in the lgStudy chat.

Frequently asked questions

What is Operational calculus in simple terms?

Operational calculus, also known as operational analysis, is a technique by which problems in analysis, in particular differential equations, are transformed into algebraic problems, usually the problem of solving a polynomial equation. History The idea of representing the processes of calculus, di…

Why does Operational calculus 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 Operational calculus?

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 Operational calculus.

Tags

  • Differential equations
  • Electrical engineering
  • Linear operators

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