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Mathematics of cyclic redundancy checks

Mathematics of cyclic redundancy checks 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 Mathematics of cyclic redundancy checks rather than just read about it. In short: The cyclic redundancy check (CRC) is a check of the remainder after division in the ring of polynomials over GF(2) (the finite field of integers modulo 2). That is, the set of polynomials where each coefficient is either zero or one, and arithmetic operations wrap around.

Key takeaways

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

Reference excerpt

The cyclic redundancy check (CRC) is a check of the remainder after division in the ring of polynomials over GF(2) (the finite field of integers modulo 2). That is, the set of polynomials where each coefficient is either zero or one, and arithmetic operations wrap around. Any string of bits can be interpreted as the coefficients of a polynomial of this sort, and a message has a valid CRC if it is divisible by (i.e. is a multiple of) an agreed-on generator polynomial. As an example, the message 101100 {\displaystyle 101100} is thought of as x 5 + x 3 + x 2 {\displaystyle x^{5}+x^{3}+x^{2}} (which is divisible by x 2 {\displaystyle x^{2}} , see Polynomial arithmetic modulo 2 below for more details). CRCs are convenient and popular because they have good error-detection properties and such a multiple may be easily constructed from any message polynomial M ( x ) {\displaystyle M(x)} by appending an n {\displaystyle n} -bit remainder polynomial R ( x ) {\displaystyle R(x)} to produce W ( x ) = M ( x ) ⋅ x n + R ( x ) {\displaystyle W(x)=M(x)\cdot x^{n}+R(x)} , where n {\displaystyle n} is the degree of the generator polynomial. Although the separation of W ( x ) {\displaystyle W(x)} into the message part M ( x ) {\displaystyle M(x)} and the checksum part R ( x ) {\displaystyle R(x)} is convenient for use of CRCs, the error-detection properties do not make a distinction; errors are detected equally anywhere within W ( x ) {\displaystyle W(x)} .

Formulation In general, computation of CRC corresponds to Euclidean division of polynomials over GF(2):

M ( x ) ⋅ x n = Q ( x ) ⋅ G ( x ) + R ( x ) . {\displaystyle M(x)\cdot x^{n}=Q(x)\cdot G(x)+R(x).}

Here M ( x ) {\displaystyle M(x)} is the original message polynomial and G ( x ) {\displaystyle G(x)} is the degree- n {\displaystyle n} generator polynomial. The bits of M ( x ) ⋅ x n {\displaystyle M(x)\cdot x^{n}} are the original message with n {\displaystyle n} zeroes added at the end. The CRC 'checksum' is formed by the coefficients of the remainder polynomial R ( x ) {\displaystyle R(x)} whose degree is strictly less than n {\displaystyle n} by the properties of Euclidean division. The quotient polynomial Q ( x ) {\displaystyle Q(x)} is of no interest. Using modulo operation, it can be stated that

R ( x ) = M ( x ) ⋅ x n mod G ( x ) . {\displaystyle R(x)=M(x)\cdot x^{n}\,{\bmod {\,}}G(x).}

In communication, the sender attaches the n {\displaystyle n} bits of R after the original message bits of M, which is equivalent to sending out W ( x ) = M ( x ) ⋅ x n + R ( x ) {\displaystyle W(x)=M(x)\cdot x^{n}+R(x)} (the codeword). This equivalence can be seen because we know that R ( x ) {\displaystyle R(x)} has degree strictly less than n {\displaystyle n} , and the binary message M ( x ) ⋅ x n {\displaystyle M(x)\cdot x^{n}} corresponds to is the original message bit shifted left n {\displaystyle n} times. Thus appending the n {\displaystyle n} bits of R (possibly with leading zeros) to the message by just adding the polynomials. Writing W ( x ) {\displaystyle W(x)} this way demonstrates that W ( x ) mod G ( x ) = 0 {\displaystyle W(x){\bmod {\,}}G(x)=0} as

… excerpt ends here. Continue reading the full article.

Worked examples

Example 1 — a first encounter with Mathematics of cyclic redundancy checks

Start with the simplest possible case. Write down what Mathematics of cyclic redundancy checks 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 Mathematics of cyclic redundancy checks 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 Mathematics of cyclic redundancy checks 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 Mathematics of cyclic redundancy checks

In research
Mathematics of cyclic redundancy checks 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 Mathematics of cyclic redundancy checks 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
Mathematics of cyclic redundancy checks is common in secondary-school and first-year university syllabi. It links to neighbouring topics Cyclic redundancy checks, Finite fields, so understanding it makes those chapters shorter.
In everyday life
Look for Mathematics of cyclic redundancy checks 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 Mathematics of cyclic redundancy checks in 20 minutes

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

Frequently asked questions

What is Mathematics of cyclic redundancy checks in simple terms?

The cyclic redundancy check (CRC) is a check of the remainder after division in the ring of polynomials over GF(2) (the finite field of integers modulo 2). That is, the set of polynomials where each coefficient is either zero or one, and arithmetic operations wrap around.

Why does Mathematics of cyclic redundancy checks 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 Mathematics of cyclic redundancy checks?

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 Mathematics of cyclic redundancy checks.

Tags

  • Cyclic redundancy checks
  • Finite fields

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