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Hyperdeterminant

Hyperdeterminant 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 Hyperdeterminant rather than just read about it. In short: In algebra, the hyperdeterminant is a generalization of the determinant. Whereas a determinant is a scalar valued function defined on an n × n square matrix, a hyperdeterminant is defined on a multidimensional array of numbers or tensor.

Key takeaways

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

Reference excerpt

In algebra, the hyperdeterminant is a generalization of the determinant. Whereas a determinant is a scalar valued function defined on an n × n square matrix, a hyperdeterminant is defined on a multidimensional array of numbers or tensor. Like a determinant, the hyperdeterminant is a homogeneous polynomial with integer coefficients in the components of the tensor. Many other properties of determinants generalize in some way to hyperdeterminants, but unlike a determinant, the hyperdeterminant does not have a simple geometric interpretation in terms of volumes. There are at least three definitions of hyperdeterminant. The first was discovered by Arthur Cayley in 1843 presented to the Cambridge Philosophical Society. It is in two parts and Cayley's first hyperdeterminant is covered in the second part. It is usually denoted by det0. The second Cayley hyperdeterminant originated in 1845 and is often denoted "Det". This definition is a discriminant for a singular point on a scalar valued multilinear map. Cayley's first hyperdeterminant is defined only for hypercubes having an even number of dimensions (although variations exist in odd dimensions). Cayley's second hyperdeterminant is defined for a restricted range of hypermatrix formats (including the hypercubes of any dimensions). The third hyperdeterminant, most recently defined by Glynn, occurs only for fields of prime characteristic p. It is denoted by detp and acts on all hypercubes over such a field. Only the first and third hyperdeterminants are "multiplicative," except for the second hyperdeterminant in the case of "boundary" formats. The first and third hyperdeterminants also have closed formulae as polynomials and therefore their degrees are known, whereas the second one does not appear to have a closed formula or degree in all cases that are known. The notation for determinants can be extended to hyperdeterminants without change or ambiguity. Hence the hyperdeterminant of a hypermatrix A may be written using the vertical bar notation as |A| or as det(A). A standard modern textbook on Cayley's second hyperdeterminant Det (as well as many other results) is "Discriminants, Resultants and Multidimensional Determinants" by Gel'fand, Kapranov and Zelevinsky. Their notation and terminology is followed in the next section.

Cayley's second hyperdeterminant Det In the special case of a 2 × 2 × 2 hypermatrix the hyperdeterminant is known as Cayley's hyperdeterminant after the British mathematician Arthur Cayley who discovered it. The quartic expression for the Cayley's hyperdeterminant of hypermatrix A with components aijk, i, j, k ∊ {0, 1} is given by

Det(A) = a0002a1112 + a0012a1102 + a0102a1012 + a1002a0112 − 2a000a001a110a111 − 2a000a010a101a111 − 2a000a011a100a111 − 2a001a010a101a110 − 2a001a011a110a100 − 2a010a011a101a100 + 4a000a011a101a110 + 4a001a010a100a111. This expression acts as a discriminant in the sense that it is zero if and only if there is a non-zero solution in six unknowns xi, yi, zi, (with superscript i = 0 or 1) of the following system of equations

a000x0y0 + a010x0y1 + a100x1y0 + a110x1y1 = 0 a001x0y0 + a011x0y1 + a101x1y0 + a111x1y1 = 0 a000x0z0 + a001x0z1 + a100x1z0 + a101x1z1 = 0 a010x0z0 + a011x0z1 + a110x1z0 + a111x1z1 = 0 a000y0z0 + a001y0z1 + a010y1z0 + a011y1z1 = 0 a100y0z0 + a101y0z1 + a110y1z0 + a111y1z1 = 0. The hyperdeterminant can be written in a more compact form using the Einstein convention for summing over indices and the Levi-Civita symbol which is an alternating tensor density with components εij specified by ε00 = ε11 = 0, ε01 = −ε10 = 1:

bkn = (1/2)εilεjmaijkalmn Det(A) = (1/2)εilεjmbijblm. Using the same conventions we can define a multilinear form

f(x,y,z) = aijk xiyjzk Then the hyperdeterminant is zero if and only if there is a non-trivial point where all partial derivatives of f vanish.

As a tensor expression The above determinant can be written in terms of a generalisation of the Levi-Civita symbol:

D e t ( A ) = f i j k l f n m o p f q r s t a i n q a j m r a k o s a l p t {\displaystyle \mathrm {Det} (A)=f^{ijkl}f^{nmop}f^{qrst}a_{inq}a_{jmr}a_{kos}a_{lpt}}

where f is a generalisation of the Levi-Civita symbol which allows two indices to be the same:

f 0011 = f 1100 = f 0110 = f 1001 = − 1 / 2 {\displaystyle f^{0011}=f^{1100}=f^{0110}=f^{1001}=-1/2}

f 0101 = f 1010 = 1 {\displaystyle f^{0101}=f^{1010}=1}

where the f satisfy:

… excerpt ends here. Continue reading the full article.

Worked examples

Example 1 — a first encounter with Hyperdeterminant

Start with the simplest possible case. Write down what Hyperdeterminant 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 Hyperdeterminant 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 Hyperdeterminant 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 Hyperdeterminant

In research
Hyperdeterminant 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 Hyperdeterminant 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
Hyperdeterminant is common in secondary-school and first-year university syllabi. It links to neighbouring topics Multilinear algebra, so understanding it makes those chapters shorter.
In everyday life
Look for Hyperdeterminant 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 Hyperdeterminant in 20 minutes

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

Frequently asked questions

What is Hyperdeterminant in simple terms?

In algebra, the hyperdeterminant is a generalization of the determinant. Whereas a determinant is a scalar valued function defined on an n × n square matrix, a hyperdeterminant is defined on a multidimensional array of numbers or tensor.

Why does Hyperdeterminant 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 Hyperdeterminant?

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 Hyperdeterminant.

Tags

  • Multilinear algebra

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