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Periodic summation

Periodic summation 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 Periodic summation rather than just read about it. In short: In mathematics, any integrable function s ( t ) {\displaystyle s(t)} can be made into a periodic function s P ( t ) {\displaystyle s_{P}(t)} with period P by summing the translations of the function s ( t ) {\displaystyle s(t)} by integer multiples of P. This is called periodic summation: s P ( t ) = ∑ n = − ∞ ∞ s ( t + n P ) {\displaystyle s_{P}(t)=\sum _{n=-\infty }^{\infty }s(t+nP)} The resulting periodic functio…

Periodic summation — main illustration
Periodic summation — illustration

Key takeaways

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

Reference excerpt

In mathematics, any integrable function s ( t ) {\displaystyle s(t)} can be made into a periodic function s P ( t ) {\displaystyle s_{P}(t)} with period P by summing the translations of the function s ( t ) {\displaystyle s(t)} by integer multiples of P. This is called periodic summation:

s P ( t ) = ∑ n = − ∞ ∞ s ( t + n P ) {\displaystyle s_{P}(t)=\sum _{n=-\infty }^{\infty }s(t+nP)}

The resulting periodic function may not be defined everywhere. When s P ( t ) {\displaystyle s_{P}(t)} is represented as a Fourier series, the Fourier coefficients are equal to the values of the continuous Fourier transform, S ( f ) ≜ F { s ( t ) } , {\displaystyle S(f)\triangleq {\mathcal {F}}\{s(t)\},} at intervals of 1 P {\displaystyle {\tfrac {1}{P}}} . This follows easily from recognizing that the formula for finding the nth coefficient of the Fourier series for the periodic summation is identical to the formula for the value of the Fourier transform of the original function at n / P . {\displaystyle n/P.} The identity is also a form of the Poisson summation formula. This implies that the periodic summation of any band-limited function, such as the sinc function, is a sum of a finite number of sine waves, or even just a single sine wave or zero if the period is less than or equal to half the inverse of the upper frequency limit. A periodic summation of a function can be identically zero if the Fourier transform of the function is zero at all multiples of some frequency, but if all periodic summations (that is, with all periods) are zero then the function must be identically zero. Similarly, a Fourier series whose coefficients are samples of s ( t ) {\displaystyle s(t)} at constant intervals (T) is equivalent to a periodic summation of S ( f ) , {\displaystyle S(f),} which is known as a discrete-time Fourier transform. The periodic summation of a Dirac delta function is the Dirac comb. Likewise, the periodic summation of an integrable function is its convolution with the Dirac comb.

Quotient space as domain If a periodic function is instead represented using the quotient space domain

R / ( P Z ) {\displaystyle \mathbb {R} /(P\mathbb {Z} )} then one can write:

φ P : R / ( P Z ) → R {\displaystyle \varphi _{P}:\mathbb {R} /(P\mathbb {Z} )\to \mathbb {R} }

φ P ( x ) = ∑ τ ∈ x s ( τ ) . {\displaystyle \varphi _{P}(x)=\sum _{\tau \in x}s(\tau )~.}

The arguments of φ P {\displaystyle \varphi _{P}} are equivalence classes of real numbers that share the same fractional part when divided by P {\displaystyle P} .

Citations

See also Dirac comb Circular convolution Discrete-time Fourier transform

Illustrations

Periodic summation: A Fourier transform and 3 variations caused by periodic sampling (at interval T) and/or periodic summation (at interval P) of the underlying time-domain function. Note however that the variations are not classical Fourier transforms.
A Fourier transform and 3 variations caused by periodic sampling (at interval T) and/or periodic summation (at interval P) of the underlying time-domain function. Note however that the variations are not classical Fourier transforms.

Worked examples

Example 1 — a first encounter with Periodic summation

Start with the simplest possible case. Write down what Periodic summation 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 Periodic summation 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 Periodic summation 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 Periodic summation

In research
Periodic summation 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 Periodic summation 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
Periodic summation is common in secondary-school and first-year university syllabi. It links to neighbouring topics Functions and mappings, Signal processing, so understanding it makes those chapters shorter.
In everyday life
Look for Periodic summation 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 Periodic summation in 20 minutes

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

Frequently asked questions

What is Periodic summation in simple terms?

In mathematics, any integrable function s ( t ) {\displaystyle s(t)} can be made into a periodic function s P ( t ) {\displaystyle s_{P}(t)} with period P by summing the translations of the function s ( t ) {\displaystyle s(t)} by integer multiples of P. This is called periodic summation: s P ( t )…

Why does Periodic summation 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 Periodic summation?

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 Periodic summation.

Tags

  • Functions and mappings
  • Signal processing

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