Linear transformation defined by T(a + bx) = (a, a+b)

In summary, the linear transformation T: P_1(R) --> R^2 defined by T(a + bx) = (a, a+b) has an inverse transformation T-1: R^2 --> P_1(R) given by T-1(c, d) = c + (d-c)x, which is also linear. To verify this, one can observe that for an element (c, d) in the range of T (and thus the domain of T-1), c = a and d = a+b for some element (a + bx) in the domain of T. This shows that T-1 reverses the roles of c and d, and subtracts c from the second element of the ordered
  • #1
jeff1evesque
312
0
Example
Let T: [tex]P_1(R) --> R^2[/tex] be the linear transformation defined by T(a + bx) = (a, a+b).
The reader can verify directly that T-1: [tex]R^2 --> P_1(R)[/tex] is defined by T-1(c, d) = c + (d-c)x. Observe that T-1 is also linear.

I am reading my text and it kind of makes sense, but I have no clue how to verify what has been said above. It make sense to reverse everything, and because after the reversal since the inverse doesn't have the element c for the second element in the order pair for [tex]R^2[/tex] then we subtract it from the image of T-1? But I don't feel comfortable with the concept (of this reversal-and subtraction), and I don't know how to verify what has been said.
 
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  • #2


If (c, d) is an element of the range of T (and thus the domain of T-1), then c = a and d = a+b for some element (a + bx) in the domain of T. This should start you in the right direction.
 
  • #3


slider142 said:
If (c, d) is an element of the range of T (and thus the domain of T-1), then c = a and d = a+b for some element (a + bx) in the domain of T. This should start you in the right direction.

Thank you,

JL
 

1. What is a linear transformation?

A linear transformation is a mathematical function that maps one vector space to another in a way that preserves the linear structure of the original space. In simpler terms, it is a function that takes in vectors as inputs and outputs other vectors, while maintaining certain properties such as linearity and preservation of the origin.

2. How is a linear transformation defined?

A linear transformation is defined by a set of rules or equations that describe how the function operates on its inputs. In this case, the linear transformation is defined by the equation T(a + bx) = (a, a+b), which means that any vector with coordinates (a, b) will be transformed into the vector (a, a+b).

3. What is the significance of T(a + bx) = (a, a+b) in this linear transformation?

The equation T(a + bx) = (a, a+b) serves as the rule or formula for the linear transformation, where a and b are the parameters or variables. It represents the mapping of the original vector (a, b) to the transformed vector (a, a+b). This equation can be used to perform transformations on any given vector.

4. What are the properties of a linear transformation?

A linear transformation must preserve the origin, meaning that the origin (0, 0) of the original vector space must also be the origin of the transformed vector space. It must also preserve linearity, which means that for any scalar c and vectors u and v, T(cu + v) = cT(u) + T(v). This property ensures that the transformation is consistent and follows the same rules for all vectors.

5. How is this linear transformation represented graphically?

In this case, the linear transformation can be represented graphically as a line with a slope of 1 passing through the origin. This is because the transformation only affects the y-coordinate of the original vector, increasing it by the same amount as the x-coordinate. So, for any given vector (a, b), the transformed vector (a, a+b) will always be on this line.

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