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Light's associativity test

Light's associativity test 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 Light's associativity test rather than just read about it. In short: In mathematics, Light's associativity test is a procedure invented by F. W.

Key takeaways

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

Reference excerpt

In mathematics, Light's associativity test is a procedure invented by F. W. Light for testing whether a binary operation defined in a finite set by a Cayley multiplication table is associative. The naive procedure for verification of the associativity of a binary operation specified by a Cayley table, which compares the two products that can be formed from each triple of elements, is cumbersome. Light's associativity test simplifies the task in some instances (although it does not improve the worst-case runtime of the naive algorithm, namely O ( n 3 ) {\displaystyle {\mathcal {O}}\left(n^{3}\right)} for sets of size n {\displaystyle n} ).

Description of the procedure Let a binary operation ' · ' be defined in a finite set A by a Cayley table. Choosing some element a in A, two new binary operations are defined in A as follows:

x ⋆ y = x ⋅ ( a ⋅ y ) {\displaystyle x\star y=x\cdot (a\cdot y)}

x ∘ y = ( x ⋅ a ) ⋅ y {\displaystyle x\circ y=(x\cdot a)\cdot y}

The Cayley tables of these operations are constructed and compared. If the tables coincide then x ⋅ ( a ⋅ y ) = ( x ⋅ a ) ⋅ y {\displaystyle x\cdot (a\cdot y)=(x\cdot a)\cdot y} for all x and y. This is repeated for every element of the set A. The example below illustrates a further simplification in the procedure for the construction and comparison of the Cayley tables of the operations ' ⋆ {\displaystyle \star } ' and ' ∘ {\displaystyle \circ } '. It is not even necessary to construct the Cayley tables of ' ⋆ {\displaystyle \star } ' and ' ∘ {\displaystyle \circ } ' for all elements of A. It is enough to compare Cayley tables of ' ⋆ {\displaystyle \star } ' and ' ∘ {\displaystyle \circ } ' corresponding to the elements in a proper generating subset of A. When the operation ' · ' is commutative, then x ⋆ {\displaystyle \star } y = y ∘ {\displaystyle \circ } x. As a result, only part of each Cayley table must be computed, because x ⋆ {\displaystyle \star } x = x ∘ {\displaystyle \circ } x always holds, and x ⋆ {\displaystyle \star } y = x ∘ {\displaystyle \circ } y implies y ⋆ {\displaystyle \star } x = y ∘ {\displaystyle \circ } x. When there is an identity element e, it does not need to be included in the Cayley tables because x ⋆ {\displaystyle \star } y = x ∘ {\displaystyle \circ } y always holds if at least one of x and y are equal to e.

Example Consider the binary operation ' · ' in the set A = { a, b, c, d, e } defined by the following Cayley table (Table 1):

The set { c, e } is a generating set for the set A under the binary operation defined by the above table, for, a = e · e, b = c · c, d = c · e. Thus it is enough to verify that the binary operations ' ⋆ {\displaystyle \star } ' and ' ∘ {\displaystyle \circ } ' corresponding to c coincide and also that the binary operations ' ⋆ {\displaystyle \star } ' and ' ∘ {\displaystyle \circ } ' corresponding to e coincide. To verify that the binary operations ' ⋆ {\displaystyle \star } ' and ' ∘ {\displaystyle \circ } ' corresponding to c coincide, choose the row in Table 1 corresponding to the element c :

This row is copied as the header row of a new table (Table 3):

Under the header a copy the corresponding column in Table 1, under the header b copy the corresponding column in Table 1, etc., and construct Table 4.

The column headers of Table 4 are now deleted to get Table 5:

The Cayley table of the binary operation ' ⋆ {\displaystyle \star } ' corresponding to the element c is given by Table 6.

Next choose the c column of Table 1:

Copy this column to the index column to get Table 8:

Against the index entry a in Table 8 copy the corresponding row in Table 1, against the index entry b copy the corresponding row in Table 1, etc., and construct Table 9.

The index entries in the first column of Table 9 are now deleted to get Table 10:

The Cayley table of the binary operation ' ∘ {\displaystyle \circ } ' corresponding to the element c is given by Table 11.

One can verify that the entries in the various cells in Table 6 agrees with the entries in the corresponding cells of Table 11. This shows that x · ( c · y ) = ( x · c ) · y for all x and y in A. If there were some discrepancy then it would not be true that x · ( c · y ) = ( x · c ) · y for all x and y in A. That x · ( e · y ) = ( x · e ) · y for all x and y in A can be verified in a similar way by constructing the following tables (Table 12 and Table 13):

… excerpt ends here. Continue reading the full article.

Worked examples

Example 1 — a first encounter with Light's associativity test

Start with the simplest possible case. Write down what Light's associativity test 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 Light's associativity test 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 Light's associativity test 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 Light's associativity test

In research
Light's associativity test 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 Light's associativity test 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
Light's associativity test is common in secondary-school and first-year university syllabi. It links to neighbouring topics Abstract algebra, Binary operations, Elementary algebra, so understanding it makes those chapters shorter.
In everyday life
Look for Light's associativity test 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 Light's associativity test in 20 minutes

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

Frequently asked questions

What is Light's associativity test in simple terms?

In mathematics, Light's associativity test is a procedure invented by F. W.

Why does Light's associativity test 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 Light's associativity test?

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 Light's associativity test.

Tags

  • Abstract algebra
  • Binary operations
  • Elementary algebra
  • Semigroup theory

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