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Ideal lattice

Ideal lattice is a computer 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 Ideal lattice rather than just read about it. In short: In discrete mathematics, ideal lattices are a special class of lattices and a generalization of cyclic lattices. Ideal lattices naturally occur in many parts of number theory, but also in other areas.

Key takeaways

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

Reference excerpt

In discrete mathematics, ideal lattices are a special class of lattices and a generalization of cyclic lattices. Ideal lattices naturally occur in many parts of number theory, but also in other areas. In particular, they have a significant place in cryptography. Micciancio defined a generalization of cyclic lattices as ideal lattices. They can be used in cryptosystems to decrease by a square root the number of parameters necessary to describe a lattice, making them more efficient. Ideal lattices are a new concept, but similar lattice classes have been used for a long time. For example, cyclic lattices, a special case of ideal lattices, are used in NTRUEncrypt and NTRUSign. Ideal lattices also form the basis for quantum computer attack resistant cryptography based on the Ring Learning with Errors. These cryptosystems are provably secure under the assumption that the shortest vector problem (SVP) is hard in these ideal lattices.

Introduction In general terms, ideal lattices are lattices corresponding to ideals in rings of the form Z [ x ] / ⟨ f ⟩ {\displaystyle \mathbb {Z} [x]/\langle f\rangle } for some irreducible polynomial f {\displaystyle f} of degree n {\displaystyle n} . All of the definitions of ideal lattices from prior work are instances of the following general notion: let R {\displaystyle R} be a ring whose additive group is isomorphic to Z n {\displaystyle \mathbb {Z} ^{n}} (i.e., it is a free Z {\displaystyle \mathbb {Z} } -module of rank n {\displaystyle n} ), and let σ {\displaystyle \sigma } be an additive isomorphism mapping R {\displaystyle R} to some lattice σ ( R ) {\displaystyle \sigma (R)} in an n {\displaystyle n} -dimensional real vector space (e.g., R n {\displaystyle \mathbb {R} ^{n}} ). The family of ideal lattices for the ring R {\displaystyle R} under the embedding σ {\displaystyle \sigma } is the set of all lattices σ ( I ) {\displaystyle \sigma (I)} , where I {\displaystyle I} is an ideal in R . {\displaystyle R.}

Definition

Notation Let f ∈ Z [ x ] {\displaystyle f\in \mathbb {Z} [x]} be a monic polynomial of degree n {\displaystyle n} , and consider the quotient ring Z [ x ] / ⟨ f ⟩ {\displaystyle \mathbb {Z} [x]/\langle f\rangle } . Using the standard set of representatives { ( g mod f ) : g ∈ Z [ x ] } {\displaystyle \lbrace (g{\bmod {f}}):g\in \mathbb {Z} [x]\rbrace } , and identification of polynomials with vectors, the quotient ring Z [ x ] / ⟨ f ⟩ {\displaystyle \mathbb {Z} [x]/\langle f\rangle } is isomorphic (as an additive group) to the integer lattice Z n {\displaystyle \mathbb {Z} ^{n}} , and any ideal I ⊆ Z [ x ] / ⟨ f ⟩ {\displaystyle I\subseteq \mathbb {Z} [x]/\langle f\rangle } defines a corresponding integer sublattice L ( I ) ⊆ Z n {\displaystyle {\mathcal {L}}(I)\subseteq \mathbb {Z} ^{n}} . An ideal lattice is an integer lattice L ( B ) ⊆ Z n {\displaystyle {\mathcal {L}}(B)\subseteq \mathbb {Z} ^{n}} such that B = { g mod f : g ∈ I } {\displaystyle B=\lbrace g{\bmod {f}}:g\in I\rbrace } for some monic polynomial f {\displaystyle f} of degree n {\displaystyle n} and ideal I ⊆ Z [ x ] / ⟨ f ⟩ {\displaystyle I\subseteq \mathbb {Z} [x]/\langle f\rangle } .

Related properties It turns out that the relevant properties of f {\displaystyle f} for the resulting function to be collision resistant are:

… excerpt ends here. Continue reading the full article.

Worked examples

Example 1 — a first encounter with Ideal lattice

Start with the simplest possible case. Write down what Ideal lattice claims or describes in one sentence, then invent the smallest concrete situation in which that sentence is true. In computer 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 Ideal lattice 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 Ideal lattice 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 Ideal lattice

In research
Ideal lattice appears in computer 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 Ideal lattice 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
Ideal lattice is common in secondary-school and first-year university syllabi. It links to neighbouring topics Lattice-based cryptography, Number theory, Post-quantum cryptography, so understanding it makes those chapters shorter.
In everyday life
Look for Ideal lattice 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 Ideal lattice in 20 minutes

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

Frequently asked questions

What is Ideal lattice in simple terms?

In discrete mathematics, ideal lattices are a special class of lattices and a generalization of cyclic lattices. Ideal lattices naturally occur in many parts of number theory, but also in other areas.

Why does Ideal lattice matter?

Because it connects several computer 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 Ideal lattice?

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 Ideal lattice.

Tags

  • Lattice-based cryptography
  • Number theory
  • Post-quantum cryptography

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