Which of the following are Linear Transformations?

In summary, we are given three functions and need to determine if they are linear transformations. To prove this, we must show that they satisfy the conditions of linearity, which involve adding and multiplying by scalars. For function A, it is a linear transformation as it satisfies both conditions. For function B, it is not a linear transformation as it fails to satisfy the first condition. For function C, it is also not a linear transformation as it fails to satisfy the first condition.
  • #1
newtomath
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Below is a HW problem which I believe is correct. Can you guys take a look and advise?

Which of the following are linear transformations
A) L(x,y,z)= (0,0)
B) L(x,y,z)= = (1,2,-1)
C) L(x,y,z)= ( x^2 +y , y-z)

To prove these relationships are linear transformations, they must satisfy the below conditions:

1) L(u+v)= L(u) + L(v) for all u and v in the space.
2) L(ku) = k*L(u) for all u in the space for every k scalars.

we can use u= (u1, u2, u3) and v=( v1, v2, v3)

A) From the problem we know : L(u)= (0,0) and L(v)= (0,0). L(u+v)= L (u1+ v1, u2 +v2, u3 +v3) = (0,0). L(u)+L(v) = (0,0) +(0,0) = (0,0), which is what we are looking for. so this point is satisfied.

L(ku) = k*L(u). L(ku)= k*(0,0) = (k*0, k*0) = (0,0). So this point is satisfied as well. A is a linear transformation.

B) Given u and v from above, we have L(u)= (1,2,-1) and L(v)= (1,2,-1). L(u+v)= L (u1+ v1, u2 +v2, u3 +v3) = (1,2,-1). L(u)= (1,2,-1) and L(v)= (1,2,-1) so L(u)+L(v) = (1,2,-1) +(1,2,-1) = (2,4,-2). This is inconsistent from our goal of (1,2,-1) so this is not a linear transformation. the second condition does not need to be proved since the first condition has not been met.

B is not a transformation

C) We have L(u)= (u1^2 + u2, u2-u3 ) and L(v)= (v1^2 + v2, v2-v3 ). L(u+v)= L (u1+ v1, u2 +v2, u3 +v3) = { ((u1+v1)^2+ (u2+v2)) , ((u2+v2) - (u3+v3)) }
L(u)+L(v) = (u1^2 + u2, u2-u3 ) + (v1^2 + v2, v2-v3 ) = { (u1^2 + u2 + v1^2 + v2 ) , u2-u3 + v2-v3) }

C is not a transformation
 
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  • #2
Right.
 

FAQ: Which of the following are Linear Transformations?

1. What is a linear transformation?

A linear transformation is a mathematical function that maps one vector space to another, while preserving the structure of the original space. In simpler terms, it is a function that takes in a set of inputs and produces a corresponding set of outputs in a linear manner.

2. What are the properties of a linear transformation?

There are three main properties of a linear transformation: additivity, homogeneity, and preservation of the zero vector. Additivity means that the transformation of the sum of two vectors is equal to the sum of their individual transformations. Homogeneity means that scaling a vector by a constant also scales its transformation by the same constant. Preservation of the zero vector means that the transformation of the zero vector is always equal to the zero vector.

3. How can I determine if a transformation is linear?

To determine if a transformation is linear, you can use the properties mentioned above. If the transformation satisfies all three properties of additivity, homogeneity, and preservation of the zero vector, then it is linear. Additionally, you can also use matrix notation and check if the transformation can be represented by a matrix that satisfies the rules of matrix multiplication.

4. What are some examples of linear transformations?

Some common examples of linear transformations include rotation, translation, reflection, and scaling. In mathematics, linear transformations can also include differentiation and integration.

5. How are linear transformations used in real-life applications?

Linear transformations have a wide range of applications in various fields such as physics, engineering, economics, and computer graphics. For example, they can be used to model the motion of objects, analyze financial data, and create computer-generated images. They also play a crucial role in machine learning algorithms, where they are used to transform data and make predictions.

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