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Kernel (algebra)

Kernel (algebra) 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 Kernel (algebra) rather than just read about it. In short: In algebra, the kernel of a homomorphism is the relation describing how elements in the domain of the homomorphism become related in the image. A homomorphism is a function that preserves the underlying algebraic structure in the domain to its image.

Kernel (algebra) — main illustration
Kernel (algebra) — illustration

Key takeaways

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

Reference excerpt

In algebra, the kernel of a homomorphism is the relation describing how elements in the domain of the homomorphism become related in the image. A homomorphism is a function that preserves the underlying algebraic structure in the domain to its image. When the algebraic structures involved have an underlying group structure, the kernel is taken to be the preimage of the group's identity element in the image, that is, it consists of the elements of the domain mapping to the image's identity. For example, the map that sends every integer to its parity (that is, 0 if the number is even, 1 if the number is odd) would be a homomorphism to the integers modulo 2, and its respective kernel would be the even integers which all have 0 as its parity. The kernel of a homomorphism of group-like structures will be a singleton set that only contains the identity if and only if the homomorphism is injective, that is if the inverse image of every element consists of a single element. This means that the kernel can be viewed as a measure of the degree to which the homomorphism fails to be injective. For some types of structure, such as abelian groups and vector spaces, the possible kernels are exactly the substructures of the same type. This is not always the case, and some kernels have received a special name, such as normal subgroups for groups and two-sided ideals for rings. The concept of a kernel has been extended to structures such that the inverse image of a single element is not sufficient for deciding whether a homomorphism is injective. In these cases, the kernel is a congruence relation. Kernels allow defining quotient objects (also called quotient algebras in universal algebra). For many types of algebraic structure, the fundamental theorem on homomorphisms (or first isomorphism theorem) states that image of a homomorphism is isomorphic to the quotient by the kernel.

Definition

Group homomorphisms

A group is a set G {\displaystyle G} with a binary operation ⋅ {\displaystyle \cdot } satisfying the following three properties for all a , b , c ∈ G {\displaystyle a,b,c\in G} :

Associative: ( a ⋅ b ) ⋅ c = a ⋅ ( b ⋅ c ) {\displaystyle (a\cdot b)\cdot c=a\cdot (b\cdot c)}

Identity: There is an e ∈ G {\displaystyle e\in G} such that e ⋅ a = a ⋅ e = a {\displaystyle e\cdot a=a\cdot e=a}

Inverses: There is an a ′ ∈ G {\displaystyle a'\in G} for each a ∈ G {\displaystyle a\in G} such that a ⋅ a ′ = a ′ ⋅ a = e {\displaystyle a\cdot a'=a'\cdot a=e}

A group is also called abelian if it also satisfies a ⋅ b = b ⋅ a {\displaystyle a\cdot b=b\cdot a} . Let G {\displaystyle G} and H {\displaystyle H} be groups. A group homomorphism from G {\displaystyle G} to H {\displaystyle H} is a function f : G → H {\displaystyle f:G\to H} such that f ( a b ) = f ( a ) f ( b ) {\displaystyle f(ab)=f(a)f(b)} for all a , b ∈ G {\displaystyle a,b\in G} . (For simplicity, the operation symbol ⋅ {\displaystyle \cdot } is omitted.) Letting e H {\displaystyle e_{H}} be the identity element of H {\displaystyle H} , then the kernel of f {\displaystyle f} is the preimage of the singleton set { e H } {\displaystyle \{e_{H}\}} ; that is, the subset of G {\displaystyle G} consisting of all those elements of G {\displaystyle G} that are mapped by f {\displaystyle f} to the element e H {\displaystyle e_{H}} . The kernel is usually denoted ker ⁡ f {\displaystyle \ker {f}} (or a variation). In symbols:

ker ⁡ f = { g ∈ G : f ( g ) = e H } . {\displaystyle \ker f=\{g\in G:f(g)=e_{H}\}.}

Since a group homomorphism preserves identity elements, the identity element e G {\displaystyle e_{G}} of G {\displaystyle G} must belong to the kernel. The homomorphism f {\displaystyle f} is injective if and only if its kernel is only the singleton set { e G } {\displaystyle \{e_{G}\}} .

… excerpt ends here. Continue reading the full article.

Illustrations

Kernel (algebra): A group homomorphism h from the group G to the group H is illustrated, with the groups represented by a blue oval on the left and a yellow circle on the right, respectively. The kernel of h is the red circle on the left, as h sends it to the identity element 1 of H.
A group homomorphism h from the group G to the group H is illustrated, with the groups represented by a blue oval on the left and a yellow circle on the right, respectively. The kernel of h is the red circle on the left, as h sends it to the identity element 1 of H.
Kernel (algebra): An example for a kernel - the linear operator 
  
    
      
        L
        :
        (
        x
        ,
        y
        )
        ⟶
        (
        x
        ,
        x
        )
      
    
    {\displaystyle L:(x,y)\longrightarrow (x,x)}
  
 transforms all points on the 
  
    
      
        (
        x
        =
        0
        ,
        y
        )
      
    
    {\displaystyle (x=0,y)}
  
 line to the zero point 
  
    
      
        (
        0
        ,
        0
        )
      
    
    {\displaystyle (0,0)}
  
, thus they form the kernel for the linear operator
An example for a kernel - the linear operator L : ( x , y ) ⟶ ( x , x ) {\displaystyle L:(x,y)\longrightarrow (x,x)} transforms all points on the ( x = 0 , y ) {\displaystyle (x=0,y)} line to the zero point ( 0 , 0 ) {\displaystyle (0,0)} , thus they form the kernel for the linear operator
Kernel (algebra) illustration
Kernel (algebra): Kernel and image of a linear map L from V to W
Kernel and image of a linear map L from V to W
Kernel (algebra): An exact sequence of groups. At each pair of homomorphism, the image of the previous homomorphism becomes the kernel of the next homomorphism, that is they get sent to the identity element.
An exact sequence of groups. At each pair of homomorphism, the image of the previous homomorphism becomes the kernel of the next homomorphism, that is they get sent to the identity element.

Worked examples

Example 1 — a first encounter with Kernel (algebra)

Start with the simplest possible case. Write down what Kernel (algebra) 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 Kernel (algebra) 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 Kernel (algebra) 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 Kernel (algebra)

In research
Kernel (algebra) 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 Kernel (algebra) 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
Kernel (algebra) is common in secondary-school and first-year university syllabi. It links to neighbouring topics Algebra, Isomorphism theorems, so understanding it makes those chapters shorter.
In everyday life
Look for Kernel (algebra) 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 Kernel (algebra) in 20 minutes

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

Frequently asked questions

What is Kernel (algebra) in simple terms?

In algebra, the kernel of a homomorphism is the relation describing how elements in the domain of the homomorphism become related in the image. A homomorphism is a function that preserves the underlying algebraic structure in the domain to its image.

Why does Kernel (algebra) 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 Kernel (algebra)?

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 Kernel (algebra).

Tags

  • Algebra
  • Isomorphism theorems

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