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H square

H square 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 H square rather than just read about it. In short: In mathematics and control theory, H2, or H-square is a Hardy space with square norm. It is a subspace of L2 space, and is thus a Hilbert space.

Key takeaways

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

Reference excerpt

In mathematics and control theory, H2, or H-square is a Hardy space with square norm. It is a subspace of L2 space, and is thus a Hilbert space. In particular, it is a reproducing kernel Hilbert space.

On the unit circle In general, elements of L2 on the unit circle are given by

∑ n = − ∞ ∞ a n e i n φ {\displaystyle \sum _{n=-\infty }^{\infty }a_{n}e^{in\varphi }}

whereas elements of H2 are given by

∑ n = 0 ∞ a n e i n φ . {\displaystyle \sum _{n=0}^{\infty }a_{n}e^{in\varphi }.}

The projection from L2 to H2 (by setting an = 0 when n < 0) is orthogonal.

On the half-plane The Laplace transform L {\displaystyle {\mathcal {L}}} given by

[ L f ] ( s ) = ∫ 0 ∞ e − s t f ( t ) d t {\displaystyle [{\mathcal {L}}f](s)=\int _{0}^{\infty }e^{-st}f(t)dt}

can be understood as a linear operator

L : L 2 ( 0 , ∞ ) → H 2 ( C + ) {\displaystyle {\mathcal {L}}:L^{2}(0,\infty )\to H^{2}\left(\mathbb {C} ^{+}\right)}

where L 2 ( 0 , ∞ ) {\displaystyle L^{2}(0,\infty )} is the set of square-integrable functions on the positive real number line, and C + {\displaystyle \mathbb {C} ^{+}} is the right half of the complex plane. It is more; it is an isomorphism, in that it is invertible, and it isometric, in that it satisfies

‖ L f ‖ H 2 = 2 π ‖ f ‖ L 2 . {\displaystyle \|{\mathcal {L}}f\|_{H^{2}}={\sqrt {2\pi }}\|f\|_{L^{2}}.}

The Laplace transform is "half" of a Fourier transform; from the decomposition

L 2 ( R ) = L 2 ( − ∞ , 0 ) ⊕ L 2 ( 0 , ∞ ) {\displaystyle L^{2}(\mathbb {R} )=L^{2}(-\infty ,0)\oplus L^{2}(0,\infty )}

one then obtains an orthogonal decomposition of L 2 ( R ) {\displaystyle L^{2}(\mathbb {R} )} into two Hardy spaces

L 2 ( R ) = H 2 ( C − ) ⊕ H 2 ( C + ) . {\displaystyle L^{2}(\mathbb {R} )=H^{2}\left(\mathbb {C} ^{-}\right)\oplus H^{2}\left(\mathbb {C} ^{+}\right).}

This is essentially the Paley-Wiener theorem.

See also Hardy space H∞ Unilateral shift operator

References Jonathan R. Partington, "Linear Operators and Linear Systems, An Analytical Approach to Control Theory", London Mathematical Society Student Texts 60, (2004) Cambridge University Press, ISBN 0-521-54619-2.

Worked examples

Example 1 — a first encounter with H square

Start with the simplest possible case. Write down what H square 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 H square 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 H square 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 H square

In research
H square 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 H square 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
H square is common in secondary-school and first-year university syllabi. It links to neighbouring topics Control theory, Mathematical analysis, so understanding it makes those chapters shorter.
In everyday life
Look for H square 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 H square in 20 minutes

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

Frequently asked questions

What is H square in simple terms?

In mathematics and control theory, H2, or H-square is a Hardy space with square norm. It is a subspace of L2 space, and is thus a Hilbert space.

Why does H square 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 H square?

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 H square.

Tags

  • Control theory
  • Mathematical analysis

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