Proof of composite linear transformations

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SUMMARY

The proof establishes that if T: Rm → Rn and U: Rn → Rp are both onto linear transformations, then the composite transformation UT: Rm → Rp is also onto. The proof demonstrates that for every vector y in Rp, there exists a vector x in Rm such that UT(x) = y. This conclusion is derived directly from the definitions of onto transformations, confirming that the onto property is preserved under composition.

PREREQUISITES
  • Understanding of linear transformations
  • Familiarity with the concept of "onto" (surjective) functions
  • Basic knowledge of vector spaces Rm, Rn, and Rp
  • Ability to manipulate and compose functions
NEXT STEPS
  • Study the properties of linear transformations in depth
  • Explore the implications of surjectivity in functional analysis
  • Learn about the Rank-Nullity Theorem and its applications
  • Investigate examples of composite linear transformations in various dimensions
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Mathematicians, students of linear algebra, and anyone interested in understanding the properties of linear transformations and their compositions.

Flyboy27
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Prove that if [tex]T:R^{m} \rightarrow R^{n}[/tex] and [tex]U:R^{n} \rightarrow R^{p}[/tex] are linear transformations that are both onto, then [tex]UT:R^{n} \rightarrow R^{p}[/tex] is also onto.

Can anyone point me in the right direction? Is there a theorem that I can pull out of the def'n of onto that I can begin this proof?
 
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this is trivial, direct from definition of onto.
 


To prove that UT is onto, we need to show that for every vector y in R^p, there exists a vector x in R^m such that UT(x) = y.

Since U is onto, for every vector y in R^p, there exists a vector z in R^n such that U(z) = y.

And since T is onto, for every vector z in R^n, there exists a vector x in R^m such that T(x) = z.

Therefore, for every vector y in R^p, there exists a vector x in R^m such that UT(x) = U(T(x)) = U(z) = y.

Hence, UT is onto, and the proof is complete.

This proof uses the definition of onto, which states that a linear transformation is onto if every element in the codomain (R^p in this case) has at least one preimage in the domain (R^m in this case). By using the onto property of both T and U, we can show that UT also satisfies this property and is therefore onto.
 

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