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Super vector space

Super vector space 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 Super vector space rather than just read about it. In short: In mathematics, a super vector space is a Z 2 {\displaystyle \mathbb {Z} _{2}} -graded vector space, that is, a vector space over a field K {\displaystyle \mathbb {K} } with a given decomposition of subspaces of grade 0 {\displaystyle 0} and grade 1 {\displaystyle 1} . The study of super vector spaces and their generalizations is sometimes called super linear algebra.

Key takeaways

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

Reference excerpt

In mathematics, a super vector space is a Z 2 {\displaystyle \mathbb {Z} _{2}} -graded vector space, that is, a vector space over a field K {\displaystyle \mathbb {K} } with a given decomposition of subspaces of grade 0 {\displaystyle 0} and grade 1 {\displaystyle 1} . The study of super vector spaces and their generalizations is sometimes called super linear algebra. These objects find their principal application in theoretical physics where they are used to describe the various algebraic aspects of supersymmetry.

Definitions A super vector space is a Z 2 {\displaystyle \mathbb {Z} _{2}} -graded vector space with decomposition

V = V 0 ⊕ V 1 , 0 , 1 ∈ Z 2 = Z / 2 Z . {\displaystyle V=V_{0}\oplus V_{1},\quad 0,1\in \mathbb {Z} _{2}=\mathbb {Z} /2\mathbb {Z} .}

Vectors that are elements of either V 0 {\displaystyle V_{0}} or V 1 {\displaystyle V_{1}} are said to be homogeneous. The parity of a nonzero homogeneous element, denoted by | x | {\displaystyle |x|} , is 0 {\displaystyle 0} or 1 {\displaystyle 1} according to whether it is in V 0 {\displaystyle V_{0}} or V 1 {\displaystyle V_{1}} ,

| x | = { 0 x ∈ V 0 1 x ∈ V 1 {\displaystyle |x|={\begin{cases}0&x\in V_{0}\\1&x\in V_{1}\end{cases}}}

Vectors of parity 0 {\displaystyle 0} are called even and those of parity 1 {\displaystyle 1} are called odd. In theoretical physics, the even elements are sometimes called Bose elements or bosonic, and the odd elements Fermi elements or fermionic. Definitions for super vector spaces are often given only in terms of homogeneous elements and then extended to nonhomogeneous elements by linearity. If V {\displaystyle V} is finite-dimensional and the dimensions of V 0 {\displaystyle V_{0}} and V 1 {\displaystyle V_{1}} are p {\displaystyle p} and q {\displaystyle q} respectively, then V {\displaystyle V} is said to have dimension p | q {\displaystyle p|q} . The standard super coordinate space, denoted K p | q {\displaystyle \mathbb {K} ^{p|q}} , is the ordinary coordinate space K p + q {\displaystyle \mathbb {K} ^{p+q}} where the even subspace is spanned by the first p {\displaystyle p} coordinate basis vectors and the odd space is spanned by the last q {\displaystyle q} . A homogeneous subspace of a super vector space is a linear subspace that is spanned by homogeneous elements. Homogeneous subspaces are super vector spaces in their own right (with the obvious grading). For any super vector space V {\displaystyle V} , one can define the parity reversed space Π V {\displaystyle \Pi V} to be the super vector space with the even and odd subspaces interchanged. That is,

… excerpt ends here. Continue reading the full article.

Worked examples

Example 1 — a first encounter with Super vector space

Start with the simplest possible case. Write down what Super vector space 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 Super vector space 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 Super vector space 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 Super vector space

In research
Super vector space 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 Super vector space 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
Super vector space is common in secondary-school and first-year university syllabi. It links to neighbouring topics Categories in category theory, Super linear algebra, so understanding it makes those chapters shorter.
In everyday life
Look for Super vector space 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 Super vector space in 20 minutes

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

Frequently asked questions

What is Super vector space in simple terms?

In mathematics, a super vector space is a Z 2 {\displaystyle \mathbb {Z} _{2}} -graded vector space, that is, a vector space over a field K {\displaystyle \mathbb {K} } with a given decomposition of subspaces of grade 0 {\displaystyle 0} and grade 1 {\displaystyle 1} . The study of super vector spa…

Why does Super vector space 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 Super vector space?

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 Super vector space.

Tags

  • Categories in category theory
  • Super linear algebra

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