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Tensor product of graphs

Tensor product of graphs is a science 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 Tensor product of graphs rather than just read about it. In short: In graph theory, the tensor product G × H of graphs G and H is a graph such that the vertex set of G × H is the Cartesian product V(G) × V(H); and vertices (g,h) and (g',h' ) are adjacent in G × H if and only if g is adjacent to g' in G, and h is adjacent to h' in H. The tensor product is also called the direct product, Kronecker product, categorical product, cardinal product, relational product, weak direct product…

Tensor product of graphs — main illustration
Tensor product of graphs — illustration

Key takeaways

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

Reference excerpt

In graph theory, the tensor product G × H of graphs G and H is a graph such that

the vertex set of G × H is the Cartesian product V(G) × V(H); and vertices (g,h) and (g',h' ) are adjacent in G × H if and only if g is adjacent to g' in G, and h is adjacent to h' in H. The tensor product is also called the direct product, Kronecker product, categorical product, cardinal product, relational product, weak direct product, or conjunction. As an operation on binary relations, the tensor product was introduced by Alfred North Whitehead and Bertrand Russell in their Principia Mathematica (1912). It is also equivalent to the Kronecker product of the adjacency matrices of the graphs. The notation G × H was formerly (and occasionally still is) used to represent the Cartesian product of graphs, which nowadays is usually written G □ H. The cross symbol in G × H depicts the two edges resulting from the tensor product of two edges, whereas G □ H has four resulting edges. This product should not be confused with the strong product of graphs.

Examples The tensor product G × K2 is a bipartite graph, called the bipartite double cover of G. The bipartite double cover of the Petersen graph is the Desargues graph: K2 × G(5,2) = G(10,3). The bipartite double cover of a complete graph Kn is a crown graph (a complete bipartite graph Kn,n minus a perfect matching). The tensor product of a complete graph with itself is the complement of a Rook's graph. Its vertices can be placed in an n-by-n grid, so that each vertex is adjacent to the vertices that are not in the same row or column of the grid.

Properties The tensor product is the category-theoretic product in the category of graphs and graph homomorphisms. That is, a homomorphism to G × H corresponds to a pair of homomorphisms to G and to H. In particular, a graph I admits a homomorphism into G × H if and only if it admits a homomorphism into G and into H. To see that, in one direction, observe that a pair of homomorphisms fG : I → G and fH : I → H yields a homomorphism

{ f : I → G × H f ( v ) = ( f G ( v ) , f H ( v ) ) {\displaystyle {\begin{cases}f:I\to G\times H\\f(v)=\left(f_{G}(v),f_{H}(v)\right)\end{cases}}}

In the other direction, a homomorphism f : I → G × H can be composed with the projections homomorphisms

{ π G : G × H → G π G ( ( u , u ′ ) ) = u { π H : G × H → H π H ( ( u , u ′ ) ) = u ′ {\displaystyle {\begin{cases}\pi _{G}:G\times H\to G\\\pi _{G}((u,u'))=u\end{cases}}\qquad \qquad {\begin{cases}\pi _{H}:G\times H\to H\\\pi _{H}((u,u'))=u'\end{cases}}}

… excerpt ends here. Continue reading the full article.

Illustrations

Tensor product of graphs: The tensor product of graphs.
The tensor product of graphs.

Worked examples

Example 1 — a first encounter with Tensor product of graphs

Start with the simplest possible case. Write down what Tensor product of graphs claims or describes in one sentence, then invent the smallest concrete situation in which that sentence is true. In science, 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 Tensor product of graphs 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 Tensor product of graphs 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 Tensor product of graphs

In research
Tensor product of graphs appears in science 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 Tensor product of graphs 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
Tensor product of graphs is common in secondary-school and first-year university syllabi. It links to neighbouring topics Alfred North Whitehead, Bertrand Russell, Graph products, so understanding it makes those chapters shorter.
In everyday life
Look for Tensor product of graphs 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 Tensor product of graphs in 20 minutes

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

Frequently asked questions

What is Tensor product of graphs in simple terms?

In graph theory, the tensor product G × H of graphs G and H is a graph such that the vertex set of G × H is the Cartesian product V(G) × V(H); and vertices (g,h) and (g',h' ) are adjacent in G × H if and only if g is adjacent to g' in G, and h is adjacent to h' in H. The tensor product is also call…

Why does Tensor product of graphs matter?

Because it connects several science 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 Tensor product of graphs?

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 Tensor product of graphs.

Tags

  • Alfred North Whitehead
  • Bertrand Russell
  • Graph products

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