Proof of sums of linear transformations

In summary, the conversation discusses the properties of linear transformations and how they can be applied to show that the sum of two linear transformations is also a linear transformation, and that a scalar multiplied by a linear transformation results in a linear transformation. The process of proving this may not be intricate, but it is sufficient in demonstrating the validity of these statements.
  • #1
veritaserum20
3
0
Given linear transformations S: Rn --> Rm and T: Rn --> Rm, show the following:
a) S+T is a linear transformation
b) cS is a linear transformation

I know that since both S and T are linear transformations on their own, they satisfy the properties for being a linear transformation, which is that for some transformation T, T(x+y)=T(x) + T(y), and T(cx)=cT(x). So I tried doing the same sort of procedure for the sum of the transformations, so that (S+T)(x)=S(x) + T(x) and S(cx)=cS(x). This just doesn't seem like a very intricate way of proving the sums of linear transformations is a linear transformation and that a scalar multiplied by a linear transformation is a linear transformation.

Any help is greatly appreciated!
 
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  • #2
veritaserum20 said:
This just doesn't seem like a very intricate way of proving the sums of linear transformations is a linear transformation and that a scalar multiplied by a linear transformation is a linear transformation.

Why not? You defined (S+T)(x) = S(x) + T(x). Now you only need to check if S+T is a linear transformation, i.e. that for all x, y and [tex]\alpha[/tex], [tex]\beta[/tex] , (S+T)([tex]\alpha[/tex]x+[tex]\beta[/tex]y)=[tex]\alpha[/tex](S+T)(x) + [tex]\beta[/tex](S+T)(y) holds.
 
  • #3
There is no requirement that proofs be "intricate"!
 

Related to Proof of sums of linear transformations

What is "Proof of sums of linear transformations"?

Proof of sums of linear transformations is a mathematical concept that involves proving the properties and behaviors of the sum of two or more linear transformations. A linear transformation is a function that maps one vector space to another, preserving the vector addition and scalar multiplication operations. Proving the sums of linear transformations involves using mathematical techniques and logic to show that the sum of two linear transformations also results in a linear transformation.

What are the properties of sums of linear transformations?

The properties of sums of linear transformations include commutativity, associativity, and distributivity. These properties state that the order in which the linear transformations are added does not matter, the grouping of the transformations does not affect the result, and the sum of a linear transformation with a scalar multiple of another linear transformation is equal to the scalar multiple of the sum of the two transformations.

How is the proof of sums of linear transformations used in real-world applications?

The proof of sums of linear transformations is used in various fields, such as engineering, physics, and computer science. It is used to analyze and understand systems that involve multiple linear transformations, such as electrical circuits, mechanical systems, and computer algorithms. By proving the properties of sums of linear transformations, we can better understand the behavior and relationships between these systems.

What is the significance of proving the sums of linear transformations?

Proving the sums of linear transformations is essential in mathematics as it allows us to understand and manipulate complex systems with multiple linear transformations. It also allows us to generalize our understanding of linear transformations to a broader range of systems and applications. Additionally, the proof of sums of linear transformations is the foundation for more advanced mathematical concepts, such as matrix algebra and linear transformations in functional analysis.

What are some common techniques used in the proof of sums of linear transformations?

Some common techniques used in the proof of sums of linear transformations include vector space properties, matrix algebra, and mathematical induction. These techniques help to manipulate and simplify equations involving linear transformations, making it easier to prove their properties. Additionally, logical reasoning and deductive thinking are crucial in the proof of sums of linear transformations.

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