Exercises — Parseval's theorem
Level 1 — Recognition
Goal: read a series and pick out the coefficients correctly.
Exercise 1.1
A function on has Fourier series . Write down , and all others.
Recall Solution
The general series is (here ). WHAT the constant means: the standalone number is , NOT . So Match term by term:
- has coefficient .
- has coefficient .
- has coefficient .
- Every other .
WHY the factor-of-2 trap matters: the constant term is written with a built-in so that the coefficient formulas are uniform. Reading here would poison every Parseval calculation later.
Exercise 1.2
For the same , which single quantity does Parseval's left-hand side compute? Name it in words.
Recall Solution
The left side is . In words: twice the mean-square value of over one period. (Dividing further by 2 gives the mean square; its square root is the RMS value.) It measures the total "energy per unit length" of the signal, before splitting into frequencies.
Level 2 — Application
Goal: plug numbers into Parseval and get a value out.
Exercise 2.1
For on , compute using Parseval.
Recall Solution
Coefficients (from Ex 1.1): . So WHY this is easier than integrating: squaring directly gives 16 cross terms; orthogonality guarantees all cross terms integrate to zero, so we never touch them.
Exercise 2.2
A signal on has only . Find its RMS value.
Recall Solution
Parseval: So . Mean square = . RMS = . WHY divide by for the mean: the full period length is ; averaging squares over the whole period gives the mean square, whose square root is the root-mean-square.
Exercise 2.3
For on with , verify Parseval reproduces .
Recall Solution
Left: Right: (the sign squares to ). Equate: This is the Basel Problem.
Level 3 — Analysis
Goal: reason about which terms survive and why.
Exercise 3.1
Without computing any integral, explain why , and why this fact is what makes Parseval possible.
Recall Solution
and are orthogonal over a full period: WHAT this means geometrically: think of each basis function as a perpendicular axis in an infinite-dimensional space (see figure). A product of two different axes integrates to zero, exactly like a dot product of perpendicular vectors: . WHY Parseval needs it: expanding produces every pairwise product; orthogonality zeroes all the cross products, leaving only the diagonal squared terms. Parseval is literally Pythagoras in this space.

Exercise 3.2
When we integrate we get , but . Explain how these two different values produce the asymmetry vs .
Recall Solution
The DC piece of the series is . Its squared integral: A cosine piece: Dividing everything by : WHY the DC term is different: the constant "1" has period-length norm (double), but the in squares to (quarter). per unit , versus for harmonics — leaving the lonely factor .
Exercise 3.3
A student claims: "If two functions have the same Fourier coefficients magnitudes but different signs, they have different energy." True or false — justify.
Recall Solution
False. Parseval depends only on and . Since , flipping any sign leaves every squared term unchanged, so the total energy is identical. WHAT changes and what doesn't: the shape (waveform) changes because relative phases shift, but the energy is phase-blind. This is exactly why in Ex 2.3 gave with the alternating sign gone.
Level 4 — Synthesis
Goal: combine coefficient-finding with Parseval to derive a new result.
Exercise 4.1
Use on (with , , ) to prove .
Recall Solution
Left: Right: Equate and isolate: WHY higher power → higher zeta: each power of pushes the coefficients' denominators up (here ), and squaring in Parseval sends . This is .
Exercise 4.2
Take on but now ask for the sum (odd terms only). Derive its value from .
Recall Solution
Split the full sum into odd and even indices: Even terms: , so Therefore WHY this trick works: the even-indexed terms are a scaled copy of the whole sum (factor ), so subtracting recovers the odd part without a new integral.
Exercise 4.3
Design a signal on whose total Parseval energy equals exactly , using only and . Give one valid choice.
Recall Solution
Constraint: One clean choice: let , then need Check: ✓ So works (recall the constant is ). WHY infinitely many answers exist: we have two free knobs and one equation — a circle of solutions in space. Any point on it is valid; energy is a level curve.
Level 5 — Mastery
Goal: push into limits, degenerate cases, and cross-theorem links.
Exercise 5.1
Show that for any with a valid Fourier series, the partial-energy sum satisfies for every finite , and equals it only as . Name the two theorems involved.
Recall Solution
Let be the -term partial sum of the series and the remainder. Because the basis is orthogonal, (the cross term vanishes — is orthogonal to every kept mode). Dividing by : Since always, This inequality is Bessel's Inequality. As the remainder energy (completeness of the sine–cosine basis), giving equality — that equality is Parseval's theorem itself. WHAT it looks like: each new harmonic fills in a slice of the total energy bar; the bar can only rise toward the true total, never overshoot (see figure).

Exercise 5.2 (Degenerate case)
What does Parseval say for the zero function , and for a pure constant ? Confirm both are consistent.
Recall Solution
Zero function: all coefficients . Left ; right . Consistent — no energy in, none out. Constant : only the DC term, ; all . Left: Right: ✓ WHY test degenerates: they are the cheapest sanity check — if the bookkeeping were wrong, the constant case would immediately disagree.
Exercise 5.3 (Synthesis with power spectra)
A current over has harmonics . Find (a) the RMS current and (b) the fraction of total power carried by the 3rd harmonic.
Recall Solution
Total: So (a) RMS: mean square ; (b) Power fractions: power in -th harmonic . WHY this is the whole point of RMS and Power Spectra: Parseval lets an engineer read total power as a sum over frequency bins, and instantly see which harmonic dominates — here the 3rd carries of the power.
Recall Ladder
Recall Which level tested what? (click)
- L1 ::: reading coefficients, spotting .
- L2 ::: plugging into Parseval, RMS values.
- L3 ::: why cross terms die, the asymmetry, phase-blindness.
- L4 ::: deriving , splitting sums, designing energy.
- L5 ::: Bessel→Parseval limit, degenerate cases, power-spectrum fractions.
Connections
- Parseval's theorem — the parent this drills.
- Fourier Series · Orthogonality of functions — the machinery.
- Basel Problem · Bessel's Inequality · Plancherel Theorem · RMS and Power Spectra — where these results live next.