Specific Linear Map Example

In summary, an example of an operator T on R^4 that satisfies the given conditions is T(w,x,y,z)=(w,0,x,0). The null space and range of T are both of dimension 2, and they have one vector in common, satisfying the given conditions.
  • #1
*melinda*
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Homework Statement
Give a specific example of an operator T on R^4 such that,

1. dim(nullT) = dim(rangeT) and

2. dim(the intersection of nullT and rangeT) = 1

The attempt at a solution
I know that dim(R^4) = dim(nullT) + dim(rangeT) = 4, so dim(nullT) = dim(rangeT) = 2.

I also know that nullT will have 2 basis vectors and rangeT will also have 2 basis vectors (so that 1. is satisfied), and that they must have one vector in common (so that 2. is satisfied).

I started with T(w, x, y, z) = (w, x, 0, 0), but that only does it halfway.
I just don't know how to generate an example that satisfies both conditions.
Any ideas?
 
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  • #2
Try T(w,x,y,z)=(w,0,x,0). This is somewhat confusing because you usually think of null(T) and range(T) as living in different spaces. Write it in terms of a basis {e1,e2,e2,e4}. T(e1)=e1, T(e2)=0, T(e3)=e2, T(e4)=0. So null(T)=span(e2,e4). range(T)=span(e1,e2).
 

1. What is a specific linear map?

A specific linear map is a mathematical function that takes in a vector as input and outputs another vector, while satisfying the properties of linearity. This means that the map preserves the operations of addition and scalar multiplication.

2. How is a specific linear map represented?

A specific linear map can be represented in many ways, but the most common representation is through a matrix. The columns of the matrix represent the outputs for each input basis vector, and the rows represent the coefficients of the input vector in terms of the basis vectors.

3. What is a basis vector?

A basis vector is a vector that serves as a building block for the vector space. It is used to represent other vectors in the space through linear combinations. A basis vector is typically chosen to be linearly independent and spans the entire vector space.

4. How is a specific linear map applied to a vector?

To apply a specific linear map to a vector, the vector is written as a linear combination of the basis vectors. The coefficients of the linear combination are then multiplied by the corresponding columns of the map's matrix, and the resulting vectors are added together to get the output vector.

5. What is the difference between a linear map and a specific linear map?

A linear map is a general term for a function that preserves linearity, while a specific linear map refers to a specific instance or example of a linear map. A specific linear map is defined by its matrix representation, while a linear map can have many different representations.

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