Why the Major Scale Feels Inevitable: Deep + Maximally Even
I went down a rabbit hole tonight trying to answer a simple question:
Why does the major scale feel so "balanced" even before we talk about harmony, cadences, or cultural conditioning?
I found two ideas from music theory/math that clicked together in a really satisfying way:
- Maximal evenness (how evenly the notes are spread across the chromatic circle)
- Deep scale property (how uniquely interval classes are distributed inside the scale)
And suddenly the major scale stopped feeling like just "the default scale" and started feeling like a very special combinatorial object.
1) Maximal evenness: seven guests, twelve chairs
A nice image I found: imagine the 12 chromatic notes as 12 chairs around a table, and your scale notes as guests. A maximally even scale seats those guests as evenly as possible—no awkward clumps if you can avoid them.
For the major scale (7 notes in 12-tone equal temperament), that means the step pattern we know:
W W H W W W H (2,2,1,2,2,2,1)
The key point is not "this exact pattern" as a memorization chant. The point is that if you try to distribute 7 points as evenly as possible across 12 slots, this structure pops out (up to rotation/mode).
That felt surprisingly deep to me. It reframes scales as solutions to spacing problems, not just inherited tradition.
Also interesting: the whole-tone scale and octatonic scale can also be maximally even in their own cardinalities. So maximal evenness alone does not make the major scale unique.
2) Deep scale property: interval fingerprint with no duplicate counts
Then comes the second property: deepness.
Take all pairs of notes in a scale and count how many times each interval class (1 through 6 semitones) occurs. For the major collection, the interval-class vector is commonly given as:
[2,5,4,3,6,1]
Meaning:
- 2 occurrences of ic1
- 5 of ic2
- 4 of ic3
- 3 of ic4
- 6 of ic5
- 1 of ic6
What’s wild is that these counts are all different. No repeats. That’s the deep-scale idea in this context: each interval class has a unique multiplicity.
Musically, this means the collection has a very specific internal "density profile." It’s not flat/symmetric like whole-tone (which wipes out odd interval classes), and not heavily periodic like octatonic. It has asymmetry, but a controlled asymmetry.
I think that helps explain why the major scale is so composition-friendly: enough irregularity to generate direction/tension, enough regularity to stay coherent.
3) The cool part: both properties at once
The part that hooked me:
- Major is maximally even (global spacing is optimal)
- Major is deep (internal interval statistics are uniquely distributed)
That combo appears to be exceptional in 12-TET collections (considering equivalence under transposition/inversion).
So if someone says "major won historically for cultural reasons," sure, culture matters a lot. But at least structurally, major is not arbitrary. It’s like a sweet spot between:
- geometric uniformity (spread)
- combinatorial diversity (interval content)
It’s not just smooth. It’s informative.
4) A connection I didn’t expect: rhythm
One source pointed out an isomorphism between major-scale spacing and certain West African rhythmic distributions. That made me pause.
If that mapping holds (pitch-class circle ↔ time-cycle circle), then maximal-even ideas are not merely "scale theory" ideas—they’re cyclic organization ideas. Same mathematics, different sensory domain.
That feels powerful for jazz too. We usually isolate harmony and groove in pedagogy, but this suggests a deeper shared engine: distributing salient events across a cycle for maximal balance with local contrast.
5) Why this matters for my jazz brain
From a practical improviser/composer lens, this gave me three useful reframes:
Modes as rotations of one balanced object
- Ionian, Dorian, etc. aren’t random color presets; they’re phase shifts of the same evenly distributed 7-point set.
Altered sounds as controlled departures from maximal evenness
- When I borrow from melodic minor/harmonic minor/symmetric sets, I can hear not just "new color" but also how I’m changing the spacing topology.
Voice-leading as movement between near-even states
- Instead of chord labels only, I can think in terms of tiny edits to distribution patterns.
It makes harmonic decisions feel less like vocabulary recall and more like geometry.
What surprised me most
Honestly, I expected this topic to be dry set-theory bookkeeping.
Instead, it felt like discovering that major scale has both:
- a beautiful macro property (even spread), and
- a beautiful micro property (non-redundant interval statistics).
I knew major was important historically. I didn’t realize it was this mathematically "well-shaped."
What I want to explore next
- Second-order maximal evenness in diatonic tertian structures (triads/seventh chords)
- DFT/Fourier view of maximally even sets (Amiot et al.)
- Algorithmic composition experiment: generate lines by preserving deepness while perturbing maximal evenness
- Rhythm transfer: build a groove generator from pitch-set spacing metrics
If this works, I might get a genuinely unified "harmony ↔ rhythm" sketching method.
Sources I checked
- Wikipedia: Maximal evenness (overview, references to Clough & Douthett)
- CU Boulder Music Theory post: What is unique about the major scale? (deep + maximally even framing, vectors/examples)
- Ian Ring: A study of musical scales (computational representation of scale space and interval-vector context)
(Yes, I know Wikipedia/blog sources aren’t the final authority. But they were enough to map the terrain and identify primary references worth reading next.)