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Transformational theory

Transformational theory 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 Transformational theory rather than just read about it. In short: Transformational theory is a branch of music theory developed by David Lewin in the 1980s, and formally introduced in his 1987 work Generalized Musical Intervals and Transformations. The theory—which models musical transformations as elements of a mathematical group—can be used to analyze both tonal and atonal music.

Transformational theory — main illustration
Transformational theory — illustration

Key takeaways

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

Reference excerpt

Transformational theory is a branch of music theory developed by David Lewin in the 1980s, and formally introduced in his 1987 work Generalized Musical Intervals and Transformations. The theory—which models musical transformations as elements of a mathematical group—can be used to analyze both tonal and atonal music. The goal of transformational theory is to change the focus from musical objects—such as the "C major chord" or "G major chord"—to relations between musical objects (related by transformation). Thus, instead of saying that a C major chord is followed by G major, a transformational theorist might say that the first chord has been "transformed" into the second by the "Dominant operation." (Symbolically, one might write "Dominant(C major) = G major.") While traditional musical set theory focuses on the makeup of musical objects, transformational theory focuses on the intervals or types of musical motion that can occur. According to Lewin's description of this change in emphasis, "[The transformational] attitude does not ask for some observed measure of extension between reified 'points'; rather it asks: 'If I am at s and wish to get to t, what characteristic gesture should I perform in order to arrive there?'" (from Generalized Musical Intervals and Transformations (GMIT), p. 159)

Formalism The formal setting for Lewin's theory is a set S (or "space") of musical objects, and a set T of transformations on that space. Transformations are modeled as functions acting on the entire space, meaning that every transformation must be applicable to every object. Lewin points out that this requirement significantly constrains the spaces and transformations that can be considered. For example, if the space S is the space of diatonic triads (represented by the Roman numerals I, ii, iii, IV, V, vi, and vii°), the "Dominant transformation" must be defined so as to apply to each of these triads. This means, for example, that some diatonic triad must be selected as the "dominant" of the diminished triad on vii. Ordinary musical discourse, however, typically holds that the "dominant" relationship is only between the I and V chords. (Certainly, no diatonic triad is ordinarily considered the dominant of the diminished triad.) In other words, "dominant," as used informally, is not a function that applies to all chords, but rather describes a particular relationship between two of them. There are, however, any number of situations in which "transformations" can extend to an entire space. Here, transformational theory provides a degree of abstraction that could be a significant music-theoretical asset. One transformational network can describe the relationships among musical events in more than one musical excerpt, thus offering an elegant way of relating them. For example, figure 7.9 in Lewin's GMIT can describe the first phrases of both the first and third movements of Beethoven's Symphony No. 1 in C Major, Op. 21. In this case, the transformation graph's objects are the same in both excerpts from the Beethoven Symphony, but this graph could apply to many more musical examples when the object labels are removed. Further, such a transformational network that gives only the intervals between pitch classes in an excerpt may also describe the differences in the relative durations of another excerpt in a piece, thus succinctly relating two different domains of music analysis. Lewin's observation that only the transformations, and not the objects on which they act, are necessary to specify a transformational network is the main benefit of transformational analysis over traditional object-oriented analysis.

Transformations as functions The "transformations" of transformational theory are typically modeled as functions that act over some musical space S, meaning that they are entirely defined by their inputs and outputs: for instance, the "ascending major third" might be modeled as a function that takes a particular pitch class as input and outputs the pitch class a major third above it. However, several theorists have pointed out that ordinary musical discourse often includes more information than functions. For example, a single pair of pitch classes (such as C and E) can stand in multiple relationships: E is both a major third above C and a minor sixth below it. (This is analogous to the fact that, on an ordinary clockface, the number 4 is both four steps clockwise from 12 and 8 steps counterclockwise from it.) For this reason, theorists such as Dmitri Tymoczko have proposed replacing Lewinnian "pitch class intervals" with "paths in pitch class space". More generally, this suggests that there are situations where it might not be useful to model musical motion ("transformations" in the intuitive sense) using functions ("transformations" in the strict sense of Lewinnian theory). Another issue concerns the role of "distance" in transformational theory. In the opening pages of GMIT, Lewin suggests that a subspecies of "transformations" (namely, musical intervals) can be used to model "directed measurements, distances, or motions". However, the mathematical formalism he uses—which models "transformations" by group elements—does not obviously represent distances, since group elements are not typically considered to have size. (Groups are typically individuated only up to isomorphism, and isomorphism does not necessarily preserve the "sizes" assigned to group elements.) Theorists such as Ed Gollin, Dmitri Tymoczko, and Rachel Hall, have all written about this subject, with Gollin attempting to incorporate "distances" into a broadly Lewinnian framework. Tymoczko's "Generalizing Musical Intervals" contains one of the few extended critiques of transformational theory, arguing (1) that intervals are sometimes "local" objects that, like vectors, cannot be transported around a musical space; (2) that musical spaces often have boundaries, or multiple paths between the same points, both prohibited by Lewin's formalism; and (3) that transformational theory implicitly relies on notions of distance extraneous to the formalism as such.

… excerpt ends here. Continue reading the full article.

Illustrations

Transformational theory: Schematic of the transformational situation: "s" and "t" are objects; pitches, pitch-class sets, chords, harmonies, etc.; and "i" is the relationship or "interval" between the two objects.[1]
Schematic of the transformational situation: "s" and "t" are objects; pitches, pitch-class sets, chords, harmonies, etc.; and "i" is the relationship or "interval" between the two objects.[1]

Worked examples

Example 1 — a first encounter with Transformational theory

Start with the simplest possible case. Write down what Transformational theory 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 Transformational theory 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 Transformational theory 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 Transformational theory

In research
Transformational theory 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 Transformational theory 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
Transformational theory is common in secondary-school and first-year university syllabi. It links to neighbouring topics Mathematics of music, Musical systems, Post-tonal music theory, so understanding it makes those chapters shorter.
In everyday life
Look for Transformational theory 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 Transformational theory in 20 minutes

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

Frequently asked questions

What is Transformational theory in simple terms?

Transformational theory is a branch of music theory developed by David Lewin in the 1980s, and formally introduced in his 1987 work Generalized Musical Intervals and Transformations. The theory—which models musical transformations as elements of a mathematical group—can be used to analyze both tona…

Why does Transformational theory 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 Transformational theory?

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 Transformational theory.

Tags

  • Mathematics of music
  • Musical systems
  • Post-tonal music theory

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