Math Problem Statement

Suppose U, V, W are vector spaces, and T: U → V and S: V → W are linear functions. Prove that ker(T) ⊆ ker(S ∘ T).

Solution

Let's break down and solve the given problem step by step.

We are given:

  • U,V,WU, V, W are vector spaces.
  • T:UVT: U \to V and S:VWS: V \to W are linear maps.
  • We need to prove that ker(T)ker(ST)\ker(T) \subseteq \ker(S \circ T), where ST:UWS \circ T: U \to W is the composition of SS and TT.

Proof:

  1. Recall the definition of the kernel:

    • The kernel of a linear map T:UVT: U \to V, denoted ker(T)\ker(T), is the set of all vectors uUu \in U such that T(u)=0T(u) = 0.
    • Similarly, ker(ST)\ker(S \circ T) is the set of vectors uUu \in U such that (ST)(u)=0(S \circ T)(u) = 0.
  2. Start with uker(T)u \in \ker(T):

    • By definition of the kernel, if uker(T)u \in \ker(T), then T(u)=0T(u) = 0.
  3. Apply the composition STS \circ T:

    • Now consider (ST)(u)=S(T(u))(S \circ T)(u) = S(T(u)).
    • Since T(u)=0T(u) = 0, this becomes S(0)S(0).
  4. Use the fact that SS is linear:

    • Because SS is a linear map, we know that S(0)=0S(0) = 0.
    • Therefore, (ST)(u)=0(S \circ T)(u) = 0.
  5. Conclusion:

    • We have shown that if uker(T)u \in \ker(T), then uker(ST)u \in \ker(S \circ T).
    • This proves that ker(T)ker(ST)\ker(T) \subseteq \ker(S \circ T), as required.

Thus, the proof is complete.

Would you like further details or have any questions?

Here are five related questions:

  1. What is the composition of two linear maps?
  2. How can the rank-nullity theorem apply to this situation?
  3. Can we generalize this result to non-linear maps?
  4. How does the inclusion ker(T)ker(ST)\ker(T) \subseteq \ker(S \circ T) relate to injectivity of TT?
  5. How would the proof change if SS were not linear?

Tip: When proving set inclusions, always begin by assuming an element belongs to one set and show that it must belong to the other.

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Math Problem Analysis

Mathematical Concepts

Linear Algebra
Vector Spaces
Linear Maps
Kernel of a Linear Map

Formulas

Kernel of a linear map: ker(T)
Composition of linear maps: S ∘ T

Theorems

The Kernel Theorem
Properties of Linear Maps

Suitable Grade Level

Undergraduate Mathematics (Linear Algebra Course)