One-to-One and Onto Function - Practice Example | MATH 2210, Study notes of Linear Algebra

Material Type: Notes; Professor: Leibowitz; Class: Applied Linear Algebra; Subject: Mathematics; University: University of Connecticut; Term: Fall 2009;

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Pre 2010

Uploaded on 09/17/2009

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Mathematics 2210 Example: Is Tone-to-one or onto?
Consider the function Twith the rule T





x1
x2
x3





=


0
x1
x2


.
Is Tone-to-one? Is the range of Tall of R3? (That is, is Tonto?) 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





0
0
x3





=0no matter what x3is. So Tis not
one-to-one.
Likewise, it is clear that all of the values of Thave first coordinate equal
to zero, so not every vector in R3belongs to the range of T. Thus Tisn’t
onto. To find the exact range of a function is often a difficult task, but in
this example it isn’t hard. If b∈ R3is in the range of T, then b1= 0. But
conversely, if b1= 0, then we can solve the equation T(x) = b, which is the
system of equations 0 = b1, x1=b2, x2=b3and see that there are solutions.
(The general solution is x= (b2, b3, t) with tarbitrary, i.e., any real number.)
So every such bis a member of the range. Conclusion: In this example, the
range of the transformation is the set of all b∈ R3for which b1= 0; i.e.,
Range(T) = Span{e2, e3}.
Since the matrix of Tis
A=


0 0 0
1 0 0
0 1 0



(Explain why this is so.), we could note that the columns of Aare linearly
dependent (since one of them is a zero vector) and not every row of Acontains
a pivot position. Hence by theorems in Sec. 1.9, Tisn’t one-to-one or onto.

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Mathematics 2210 Example: Is T one-to-one or onto?

Consider the function T with the rule T

  

  

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

  

  

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 isn’t onto. To find the exact range of a function is often a difficult task, but in this example it isn’t hard. If b ∈ 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 ∈ R^3 for which b 1 = 0; i.e., Range(T ) = Span{e 2 , e 3 }. Since the matrix of T is

A =

  

  

(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 isn’t one-to-one or onto.