Are These Mappings True Linear Operators?

In summary, the conversation discusses determining which mappings T: P1 -> P1 over R are linear operators. The first mapping does not satisfy the condition for a linear operator, while the second mapping does. The concept of a linear operator on a vector space is also mentioned.
  • #1
jesuslovesu
198
0
[SOLVED] Linear Operators

Oops, nevermind I figured out my mistake.

Homework Statement


Determine which of the following mappings T: P1 -> p1 over R are linear operators.
1) T(a0 + a1x ) = a0*x
2) T(a0 + a1x ) = a1a0 + a0*x

The Attempt at a Solution



My book states that if U = V (vector spaces) then the linear transformation T: U->U is called a linear operator on U.

So that works for the first problem; however, the second which is also P1 -> P1 is NOT a linear op(according to the answer key)... so I am a bit confused as to why that is.
 
Last edited:
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  • #2
Answer-1) This is not a linear operator because it does not satisfy the condition that T(u + v) = T(u) + T(v).2) This is a linear operator.
 

Related to Are These Mappings True Linear Operators?

What is a linear operator?

A linear operator is a mathematical function that acts on a vector space and follows certain rules of linearity, such as preserving addition and scalar multiplication. It can be represented by a matrix and is commonly used in linear algebra and functional analysis.

What is the purpose of linear operator analysis?

The purpose of linear operator analysis is to study the properties and behavior of linear operators, such as their eigenvalues and eigenvectors, in order to better understand their impact on vector spaces. This can also help in solving systems of linear equations and other applications in mathematics and physics.

What are some common examples of linear operators?

Some common examples of linear operators include differentiation and integration operators, rotation and scaling operators in Euclidean space, and the Laplace operator in partial differential equations. Other examples can be found in quantum mechanics, signal processing, and image processing.

How are linear operators related to matrices?

Linear operators can be represented by matrices, with the operator acting on a vector being equivalent to matrix multiplication. Conversely, given a matrix, we can define a linear operator by specifying how it acts on a vector space. This allows us to use matrix operations and techniques in the analysis of linear operators.

What is the difference between a bounded and unbounded linear operator?

A bounded linear operator has a finite norm, meaning it maps finite-dimensional vector spaces to finite-dimensional vector spaces. An unbounded linear operator, on the other hand, does not have a finite norm and may map infinite-dimensional vector spaces to other infinite-dimensional vector spaces. This distinction is important in understanding the behavior and properties of linear operators.

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