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Overcompleteness

Overcompleteness 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 Overcompleteness rather than just read about it. In short: Overcompleteness is a concept from linear algebra that is widely used in mathematics, computer science, engineering, and statistics (usually in the form of overcomplete frames). It was introduced by R.

Overcompleteness — main illustration
Overcompleteness — illustration

Key takeaways

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

Reference excerpt

Overcompleteness is a concept from linear algebra that is widely used in mathematics, computer science, engineering, and statistics (usually in the form of overcomplete frames). It was introduced by R. J. Duffin and A. C. Schaeffer in 1952. Formally, a subset of the vectors { ϕ i } i ∈ J {\displaystyle \{\phi _{i}\}_{i\in J}} of a Banach space X {\displaystyle X} , sometimes called a "system", is complete if every element in X {\displaystyle X} can be approximated arbitrarily well in norm by finite linear combinations of elements in { ϕ i } i ∈ J {\displaystyle \{\phi _{i}\}_{i\in J}} . A system is called overcomplete if it contains more vectors than necessary to be complete, i.e., there exist ϕ j ∈ { ϕ i } i ∈ J {\displaystyle \phi _{j}\in \{\phi _{i}\}_{i\in J}} that can be removed from the system such that { ϕ i } i ∈ J ∖ { ϕ j } {\displaystyle \{\phi _{i}\}_{i\in J}\setminus \{\phi _{j}\}} remains complete. In research areas such as signal processing and function approximation, overcompleteness can help researchers to achieve a more stable, more robust, or more compact decomposition than using a basis.

Relation between overcompleteness and frames The theory of frames originates in a paper by Duffin and Schaeffer on non-harmonic Fourier series. A frame is defined to be a set of non-zero vectors { ϕ i } i ∈ J {\displaystyle \{\phi _{i}\}_{i\in J}} such that for an arbitrary f ∈ H {\displaystyle f\in {\mathcal {H}}} ,

A ‖ f ‖ 2 ≤ ∑ i ∈ J | ⟨ f , ϕ i ⟩ | 2 ≤ B ‖ f ‖ 2 {\displaystyle A\|f\|^{2}\leq \sum _{i\in J}|\langle f,\phi _{i}\rangle |^{2}\leq B\|f\|^{2}}

where ⟨ ⋅ , ⋅ ⟩ {\displaystyle \langle \cdot ,\cdot \rangle } denotes the inner product, A {\displaystyle A} and B {\displaystyle B} are positive constants called bounds of the frame. When A {\displaystyle A} and B {\displaystyle B} can be chosen such that A = B {\displaystyle A=B} , the frame is called a tight frame. It can be seen that H = span ⁡ { ϕ i } {\displaystyle {\mathcal {H}}=\operatorname {span} \{\phi _{i}\}} . An example of frame can be given as follows. Let each of { α i } i = 1 ∞ {\displaystyle \{\alpha _{i}\}_{i=1}^{\infty }} and { β i } i = 1 ∞ {\displaystyle \{\beta _{i}\}_{i=1}^{\infty }} be an orthonormal basis of H {\displaystyle {\mathcal {H}}} , then

{ ϕ i } i = 1 ∞ = { α i } i = 1 ∞ ∪ { β i } i = 1 ∞ {\displaystyle \{\phi _{i}\}_{i=1}^{\infty }=\{\alpha _{i}\}_{i=1}^{\infty }\cup \{\beta _{i}\}_{i=1}^{\infty }}

is a frame of H {\displaystyle {\mathcal {H}}} with bounds A = B = 2 {\displaystyle A=B=2} . Let S {\displaystyle S} be the frame operator,

… excerpt ends here. Continue reading the full article.

Illustrations

Overcompleteness illustration

Worked examples

Example 1 — a first encounter with Overcompleteness

Start with the simplest possible case. Write down what Overcompleteness 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 Overcompleteness 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 Overcompleteness 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 Overcompleteness

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

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

Frequently asked questions

What is Overcompleteness in simple terms?

Overcompleteness is a concept from linear algebra that is widely used in mathematics, computer science, engineering, and statistics (usually in the form of overcomplete frames). It was introduced by R.

Why does Overcompleteness 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 Overcompleteness?

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 Overcompleteness.

Tags

  • Linear algebra
  • Mathematical analysis

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