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Unistochastic matrix

Unistochastic matrix 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 Unistochastic matrix rather than just read about it. In short: In mathematics, a unistochastic matrix (also called unitary-stochastic) is a doubly stochastic matrix whose entries are the squares of the absolute values of the entries of some unitary matrix. A square matrix B of size n is doubly stochastic (or bistochastic) if all its entries are non-negative real numbers and each of its rows and columns sum to 1.

Key takeaways

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

Reference excerpt

In mathematics, a unistochastic matrix (also called unitary-stochastic) is a doubly stochastic matrix whose entries are the squares of the absolute values of the entries of some unitary matrix. A square matrix B of size n is doubly stochastic (or bistochastic) if all its entries are non-negative real numbers and each of its rows and columns sum to 1. It is unistochastic if there exists a unitary matrix U such that

B i j = | U i j | 2 for i , j = 1 , … , n . {\displaystyle B_{ij}=|U_{ij}|^{2}{\text{ for }}i,j=1,\dots ,n.\,}

This definition is analogous to that for an orthostochastic matrix, which is a doubly stochastic matrix whose entries are the squares of the entries in some orthogonal matrix. Since all orthogonal matrices are necessarily unitary matrices, all orthostochastic matrices are also unistochastic. The converse, however, is not true. First, all 2-by-2 doubly stochastic matrices are both unistochastic and orthostochastic, but for larger n this is not the case. For example, take n = 3 {\displaystyle n=3} and consider the following doubly stochastic matrix:

B = 1 2 [ 1 1 0 0 1 1 1 0 1 ] . {\displaystyle B={\frac {1}{2}}{\begin{bmatrix}1&1&0\\0&1&1\\1&0&1\end{bmatrix}}.}

This matrix is not unistochastic, since any two vectors with moduli equal to the square root of the entries of two columns (or rows) of B cannot be made orthogonal by a suitable choice of phases. For n > 2 {\textstyle n>2} , the set of orthostochastic matrices is a proper subset of the set of unistochastic matrices.

the set of unistochastic matrices contains all permutation matrices and its convex hull is the Birkhoff polytope of all doubly stochastic matrices for n ≥ 3 {\displaystyle n\geq 3} this set is not convex for n = 3 {\displaystyle n=3} the set of triangle inequality on the moduli of the raw is a sufficient and necessary condition for the unistocasticity for n = 3 {\displaystyle n=3} the set of unistochastic matrices is star--shaped and unistochasticity of any bistochastic matrix B is implied by a non-negative value of its Jarlskog invariant for n = 3 {\displaystyle n=3} the relative volume of the set of unistochastic matrices with respect to the Birkhoff polytope of doubly stochastic matrices is 8 π 2 / 105 ≈ 75.2 % {\displaystyle 8\pi ^{2}/105\approx 75.2\%}

… excerpt ends here. Continue reading the full article.

Worked examples

Example 1 — a first encounter with Unistochastic matrix

Start with the simplest possible case. Write down what Unistochastic matrix 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 Unistochastic matrix 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 Unistochastic matrix 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 Unistochastic matrix

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

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

Frequently asked questions

What is Unistochastic matrix in simple terms?

In mathematics, a unistochastic matrix (also called unitary-stochastic) is a doubly stochastic matrix whose entries are the squares of the absolute values of the entries of some unitary matrix. A square matrix B of size n is doubly stochastic (or bistochastic) if all its entries are non-negative re…

Why does Unistochastic matrix 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 Unistochastic matrix?

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 Unistochastic matrix.

Tags

  • Matrices (mathematics)

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