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Sylvester's law of inertia

Sylvester's law of inertia 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 Sylvester's law of inertia rather than just read about it. In short: Sylvester's law of inertia is a theorem in matrix algebra about certain properties of the coefficient matrix of a real quadratic form that remain invariant under a change of basis. Namely, if S {\displaystyle S} is a symmetric matrix, then for any invertible matrix P {\displaystyle P} , the numbers of positive, negative, and zero eigenvalues of S ′ = P S P T {\displaystyle S'=PSP^{\mathsf {T}}} are constant (i.e., t…

Key takeaways

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

Reference excerpt

Sylvester's law of inertia is a theorem in matrix algebra about certain properties of the coefficient matrix of a real quadratic form that remain invariant under a change of basis. Namely, if S {\displaystyle S} is a symmetric matrix, then for any invertible matrix P {\displaystyle P} , the numbers of positive, negative, and zero eigenvalues of S ′ = P S P T {\displaystyle S'=PSP^{\mathsf {T}}} are constant (i.e., the inertia of S ′ {\displaystyle S'} is constant). This result is particularly useful when S ′ {\displaystyle S'} is diagonal, as the inertia of a diagonal matrix can easily be obtained by looking at the signs of its diagonal elements. This property is named after James Joseph Sylvester, who published its proof in 1852.

Statement Let S {\displaystyle S} be a symmetric square matrix of order n {\displaystyle n} with real entries. Any non-singular square matrix P {\displaystyle P} of the same order is said to transform S {\displaystyle S} into another symmetric matrix ⁠ S ′ = P S P T {\displaystyle S'=PSP^{\mathsf {T}}} ⁠, also of order ⁠ n {\displaystyle n} ⁠, where P T {\displaystyle P^{\mathsf {T}}} is the transpose of ⁠ P {\displaystyle P} ⁠. It is also said that matrices S {\displaystyle S} and S ′ {\displaystyle S'} are congruent. If S {\displaystyle S} is the coefficient matrix of some quadratic form on ⁠ R n {\displaystyle \mathbb {R} ^{n}} ⁠, then S ′ {\displaystyle S'} is the coefficient matrix of the same form after the change of basis defined by ⁠ P {\displaystyle P} ⁠. A symmetric matrix S {\displaystyle S} can always be transformed in this way into a diagonal matrix D {\displaystyle D} which has entries only ⁠ 0 {\displaystyle 0} ⁠, ⁠ + 1 {\displaystyle +1} ⁠, ⁠ − 1 {\displaystyle -1} ⁠ along the diagonal. Sylvester's law of inertia states that the number of diagonal entries of each kind is an invariant of ⁠ S {\displaystyle S} ⁠, i.e., does not depend on the matrix P {\displaystyle P} used. The number of ⁠ + 1 {\displaystyle +1} ⁠'s, denoted ⁠ n + {\displaystyle n_{+}} ⁠, is called the positive index of inertia of ⁠ S {\displaystyle S} ⁠, and the number of ⁠ − 1 {\displaystyle -1} ⁠'s, denoted ⁠ n − {\displaystyle n_{-}} ⁠, is called the negative index of inertia of ⁠ S {\displaystyle S} ⁠. The number of ⁠ 0 {\displaystyle 0} ⁠'s, denoted ⁠ n 0 {\displaystyle n_{0}} ⁠, is the dimension of the null space of ⁠ S {\displaystyle S} ⁠, known as the nullity of ⁠ S {\displaystyle S} ⁠. These numbers satisfy the obvious relation

… excerpt ends here. Continue reading the full article.

Worked examples

Example 1 — a first encounter with Sylvester's law of inertia

Start with the simplest possible case. Write down what Sylvester's law of inertia 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 Sylvester's law of inertia 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 Sylvester's law of inertia 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 Sylvester's law of inertia

In research
Sylvester's law of inertia 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 Sylvester's law of inertia 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
Sylvester's law of inertia is common in secondary-school and first-year university syllabi. It links to neighbouring topics Matrix theory, Quadratic forms, Theorems in linear algebra, so understanding it makes those chapters shorter.
In everyday life
Look for Sylvester's law of inertia 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 Sylvester's law of inertia in 20 minutes

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

Frequently asked questions

What is Sylvester's law of inertia in simple terms?

Sylvester's law of inertia is a theorem in matrix algebra about certain properties of the coefficient matrix of a real quadratic form that remain invariant under a change of basis. Namely, if S {\displaystyle S} is a symmetric matrix, then for any invertible matrix P {\displaystyle P} , the numbers…

Why does Sylvester's law of inertia 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 Sylvester's law of inertia?

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 Sylvester's law of inertia.

Tags

  • Matrix theory
  • Quadratic forms
  • Theorems in linear algebra

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