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Material Type: Notes; Professor: Leibowitz; Class: Applied Linear Algebra; Subject: Mathematics; University: University of Connecticut; Term: Fall 2009;
Typology: Study notes
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Mathematics 2210 Example: Is T one-to-one or onto?
Consider the function T with the rule T
  ļ£
  
x 1 x 2 x 3
  
   =
  
x 1 x 2
  .
Is T one-to-one? Is the range of T all of R^3? (That is, is T onto?) If not, what is the range of T?
We can answer these questions directly or we can try to apply the theory from Section 1.9. It is clear that there are vectors other than the zero vector at which T
has the value 0 ; e.g., T
  ļ£
  
x 3
  
   =^0 no matter what^ x 3 is.^ So^ T^ is not
one-to-one. Likewise, it is clear that all of the values of T have first coordinate equal to zero, so not every vector in R^3 belongs to the range of T. Thus T isnāt onto. To find the exact range of a function is often a difficult task, but in this example it isnāt hard. If b ā R^3 is in the range of T , then b 1 = 0. But conversely, if b 1 = 0, then we can solve the equation T (x) = b, which is the system of equations 0 = b 1 , x 1 = b 2 , x 2 = b 3 and see that there are solutions. (The general solution is x = (b 2 , b 3 , t) with t arbitrary, i.e., any real number.) So every such b is a member of the range. Conclusion: In this example, the range of the transformation is the set of all b ā R^3 for which b 1 = 0; i.e., Range(T ) = Span{e 2 , e 3 }. Since the matrix of T is
  
  
(Explain why this is so.), we could note that the columns of A are linearly dependent (since one of them is a zero vector) and not every row of A contains a pivot position. Hence by theorems in Sec. 1.9, T isnāt one-to-one or onto.