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Heap (mathematics)

Heap (mathematics) 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 Heap (mathematics) rather than just read about it. In short: In abstract algebra, a semiheap is an algebraic structure consisting of a non-empty set H with a ternary operation denoted [ x , y , z ] ∈ H {\displaystyle [x,y,z]\in H} that satisfies a modified associativity property: ∀ a , b , c , d , e ∈ H [ [ a , b , c ] , d , e ] = [ a , [ d , c , b ] , e ] = [ a , b , [ c , d , e ] ] . {\displaystyle \forall a,b,c,d,e\in H\quad [[a,b,c],d,e]=[a,[d,c,b],e]=[a,b,[c,d,e]].} A bi…

Key takeaways

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

Reference excerpt

In abstract algebra, a semiheap is an algebraic structure consisting of a non-empty set H with a ternary operation denoted [ x , y , z ] ∈ H {\displaystyle [x,y,z]\in H} that satisfies a modified associativity property:

∀ a , b , c , d , e ∈ H [ [ a , b , c ] , d , e ] = [ a , [ d , c , b ] , e ] = [ a , b , [ c , d , e ] ] . {\displaystyle \forall a,b,c,d,e\in H\quad [[a,b,c],d,e]=[a,[d,c,b],e]=[a,b,[c,d,e]].}

A biunitary element h of a semiheap satisfies [h,h,k] = k = [k,h,h] for every k in H. A heap is a semiheap in which every element is biunitary. It can be thought of as a group with the identity element "forgotten". The term heap is derived from груда, Russian for 'heap' or 'pile'. Anton Sushkevich used the term in his Theory of Generalized Groups (1937) which influenced Viktor Wagner, promulgator of semiheaps, heaps, and generalized heaps. Груда contrasts with группа (group) which was taken into Russian by transliteration. Indeed, a heap has been called a groud in English text.

Examples

Two element heap Turn H = { a , b } {\displaystyle H=\{a,b\}} into the cyclic group C 2 {\displaystyle \mathrm {C} _{2}} , by defining a {\displaystyle a} the identity element, and b b = a {\displaystyle bb=a} . Then it produces the following heap:

[ a , a , a ] = a , [ a , a , b ] = b , [ b , a , a ] = b , [ b , a , b ] = a , {\displaystyle [a,a,a]=a,\,[a,a,b]=b,\,[b,a,a]=b,\,[b,a,b]=a,}

[ a , b , a ] = b , [ a , b , b ] = a , [ b , b , a ] = a , [ b , b , b ] = b . {\displaystyle [a,b,a]=b,\,[a,b,b]=a,\,[b,b,a]=a,\,[b,b,b]=b.}

Defining b {\displaystyle b} as the identity element and a a = b {\displaystyle aa=b} would have given the same heap.

Heap of integers If x , y , z {\displaystyle x,y,z} are integers, we can set [ x , y , z ] = x − y + z {\displaystyle [x,y,z]=x-y+z} to produce a heap. We can then choose any integer k {\displaystyle k} to be the identity of a new group on the set of integers, with the operation ∗ {\displaystyle *}

x ∗ y = x + y − k {\displaystyle x*y=x+y-k}

and inverse

x − 1 = 2 k − x . {\displaystyle x^{-1}=2k-x.}

Heap of a group The previous two examples may be generalized to any group G by defining the ternary operation as [ x , y , z ] = x y − 1 z , {\displaystyle [x,y,z]=xy^{-1}z,} using the multiplication and inverse of G.

Heap of a groupoid with two objects The heap of a group may be generalized again to the case of a groupoid which has two objects A and B when viewed as a category. The elements of the heap may be identified with the morphisms from A to B, such that three morphisms x, y, z define a heap operation according to [ x , y , z ] = x y − 1 z . {\displaystyle [x,y,z]=xy^{-1}z.}

This reduces to the heap of a group if a particular morphism between the two objects is chosen as the identity. This intuitively relates the description of isomorphisms between two objects as a heap and the description of isomorphisms between multiple objects as a groupoid.

Heterogeneous relations Let A and B be different sets and B ( A , B ) {\displaystyle {\mathcal {B}}(A,B)} the collection of heterogeneous relations between them. For p , q , r ∈ B ( A , B ) {\displaystyle p,q,r\in {\mathcal {B}}(A,B)} define the ternary operator

… excerpt ends here. Continue reading the full article.

Worked examples

Example 1 — a first encounter with Heap (mathematics)

Start with the simplest possible case. Write down what Heap (mathematics) 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 Heap (mathematics) 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 Heap (mathematics) 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 Heap (mathematics)

In research
Heap (mathematics) 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 Heap (mathematics) 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
Heap (mathematics) is common in secondary-school and first-year university syllabi. It links to neighbouring topics Non-associative algebra, Ternary operations, so understanding it makes those chapters shorter.
In everyday life
Look for Heap (mathematics) 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 Heap (mathematics) in 20 minutes

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

Frequently asked questions

What is Heap (mathematics) in simple terms?

In abstract algebra, a semiheap is an algebraic structure consisting of a non-empty set H with a ternary operation denoted [ x , y , z ] ∈ H {\displaystyle [x,y,z]\in H} that satisfies a modified associativity property: ∀ a , b , c , d , e ∈ H [ [ a , b , c ] , d , e ] = [ a , [ d , c , b ] , e ] =…

Why does Heap (mathematics) 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 Heap (mathematics)?

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 Heap (mathematics).

Tags

  • Non-associative algebra
  • Ternary operations

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