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Volterra series

Volterra series 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 Volterra series rather than just read about it. In short: The Volterra series is a model for non-linear behavior similar to the Taylor series. It differs from the Taylor series in its ability to capture "memory" effects.

Key takeaways

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

Reference excerpt

The Volterra series is a model for non-linear behavior similar to the Taylor series. It differs from the Taylor series in its ability to capture "memory" effects. The Taylor series can be used for approximating the response of a nonlinear system to a given input if the output of the system depends strictly on the input at that particular time. In the Volterra series, the output of the nonlinear system depends on the input to the system at all other times. This provides the ability to capture the "memory" effect of devices like capacitors and inductors. It has been applied in the fields of medicine (biomedical engineering) and biology, especially neuroscience. It is also used in electrical engineering to model intermodulation distortion in many devices, including power amplifiers and frequency mixers. Its main advantage lies in its generalizability: it can represent a wide range of systems. Thus, it is sometimes considered a non-parametric model. In mathematics, a Volterra series denotes a functional expansion of a dynamic, nonlinear, time-invariant functional. The Volterra series are frequently used in system identification. The Volterra series, which is used to prove the Volterra theorem, is an infinite sum of multidimensional convolutional integrals.

History The Volterra series is a modernized version of the theory of analytic functionals from the Italian mathematician Vito Volterra, in his work dating from 1887. Norbert Wiener became interested in this theory in the 1920s due to his contact with Volterra's student Paul Lévy. Wiener applied his theory of Brownian motion for the integration of Volterra analytic functionals. The use of the Volterra series for system analysis originated from a restricted 1942 wartime report of Wiener's, who was then a professor of mathematics at MIT. He used the series to make an approximate analysis of the effect of radar noise in a nonlinear receiver circuit. The report became public after the war. As a general method of analysis of nonlinear systems, the Volterra series came into use after about 1957 as the result of a series of reports, at first privately circulated, from MIT and elsewhere. The name itself, Volterra series, came into use a few years later.

Mathematical theory The theory of the Volterra series can be viewed from two different perspectives:

An operator mapping between two function spaces (real or complex) A real or complex functional mapping from a function space into real or complex numbers The latter functional mapping perspective is more frequently used due to the assumed time-invariance of the system.

Continuous time A continuous time-invariant system with x(t) as input and y(t) as output can be expanded in the Volterra series as

y ( t ) = h 0 + ∑ n = 1 N ∫ a b ⋯ ∫ a b h n ( τ 1 , … , τ n ) ∏ j = 1 n x ( t − τ j ) d τ j . {\displaystyle y(t)=h_{0}+\sum _{n=1}^{N}\int _{a}^{b}\cdots \int _{a}^{b}h_{n}(\tau _{1},\dots ,\tau _{n})\prod _{j=1}^{n}x(t-\tau _{j})\,d\tau _{j}.}

… excerpt ends here. Continue reading the full article.

Worked examples

Example 1 — a first encounter with Volterra series

Start with the simplest possible case. Write down what Volterra series 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 Volterra series 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 Volterra series 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 Volterra series

In research
Volterra series 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 Volterra series 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
Volterra series is common in secondary-school and first-year university syllabi. It links to neighbouring topics Functional analysis, Series (mathematics), so understanding it makes those chapters shorter.
In everyday life
Look for Volterra series 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 Volterra series in 20 minutes

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

Frequently asked questions

What is Volterra series in simple terms?

The Volterra series is a model for non-linear behavior similar to the Taylor series. It differs from the Taylor series in its ability to capture "memory" effects.

Why does Volterra series 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 Volterra series?

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 Volterra series.

Tags

  • Functional analysis
  • Series (mathematics)

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