Linear algebra(linear transformation)

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SUMMARY

The discussion centers on the properties of linear transformations, specifically addressing the rank of a linear transformation T from vector space U to vector space V, where the dimension of V (denoted as m) is finite. It is established that the rank of T is less than or equal to m, as defined by the rank-nullity theorem. The rank of T corresponds to the dimension of the range of T, which is a subset of V formed by the images of elements from U. The conversation emphasizes the importance of understanding the definitions of rank and range in linear algebra.

PREREQUISITES
  • Understanding of linear transformations in linear algebra
  • Familiarity with the concepts of rank and nullity
  • Knowledge of vector spaces and their dimensions
  • Comprehension of the rank-nullity theorem
NEXT STEPS
  • Study the rank-nullity theorem in detail
  • Explore the properties of vector spaces and their dimensions
  • Learn about the concept of range and its significance in linear transformations
  • Review examples of linear transformations and their ranks
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Students of linear algebra, educators teaching linear transformations, and anyone seeking to deepen their understanding of vector space properties and the rank-nullity theorem.

chuy52506
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Homework Statement


Let T be a Linear Transformation from U to V with dim(V)=m where m<infinity.



Homework Equations


Show that rank(T) less than or equal to m.


The Attempt at a Solution


Im really not that familiar with what rank or m is.
 
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Well, familiarity depends on your level of involvement. So look for the definition of <rank> in your notes/textbook. You can't find it (though i doubt it), search the internet: planetmath.org, wikipedia.org, wolfram sites offer a wealth of information on linear algebra.

m is the dimension of the vector space V. It's maximum number of linear independent vectors in V.
 
ok so rank is the max. number of linearly independent rows or columns.
I was trying to manipulate rank(T)=dim(range(T)) I am not sure if this is the correct starting point?
 
No nevermind that belonged to another problem. Ok so i just have rank(T)+nullity(T)=m
 
It does not say what the range(T) is
 
Of course not, you have to know that from the beginning of the class on linear algebra. The range is a subset of V obtained by taking all possible images through T of all the elements of U (assumed to be equal to the domain of T). The range is also known as codomain of a linear map/operator.

If U is a linear space and T is a linear operator, one can easily show that range(T) is also a linear space, namely a vector subspace of V.
 
I think the rank-nullity theorem is exactly what you want to use.
 

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