How can you tell if somethign is a subspace with abstract info?

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SUMMARY

This discussion focuses on determining whether a set defined by the condition sin(u1) = 1 in R4 is a subspace. The three necessary conditions for a subspace are: containing the zero vector, being closed under addition, and being closed under scalar multiplication. The participants emphasize the importance of checking if the zero vector satisfies the condition and suggest testing arbitrary vectors for closure under scalar multiplication and addition. The conversation highlights the need for a thorough understanding of vector operations in R4 to solve related problems effectively.

PREREQUISITES
  • Understanding of vector spaces and subspaces in linear algebra
  • Familiarity with R4 and its vector operations
  • Knowledge of trigonometric functions and their implications in vector conditions
  • Ability to perform scalar multiplication and vector addition
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  • Study the properties of vector spaces and subspaces in linear algebra
  • Learn how to verify if a set is a subspace using specific examples
  • Explore the implications of trigonometric conditions on vector components
  • Practice problems involving closure under addition and scalar multiplication
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Students and educators in linear algebra, mathematicians exploring vector spaces, and anyone seeking to deepen their understanding of subspace criteria in R4.

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I know there are three problems in one here, but they are all of the same nature. I don't understand how this is enough information to find out if they are subspaces. It's all really abstract to me. I know that you need three aspects to be a subspace:

1. Must contain zero vector
2. Closed under addition
3. Closed under scalar multiplication.

So how can I use this info to solve these problems? For example, in question 40 it tells you that the vector U inside of r4 has the condition that sin(u1) = 1. That means u1 = 90 or pi/2. So if I put in 2u, does that indicate i don't get the zero vector? I'm assuming M contains vector U as well right? But how can I tell if its closed under multiplication and addition if I only know that sin(u1) =1 and nothing else...

There are 6 problems of this nature in my textbook that I am unable to solve and they do not give ample explanations for them.
 
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Arnoldjavs3 said:
So how can I use this info to solve these problems? For example, in question 40 it tells you that the vector U inside of r4 has the condition that sin(u1) = 1. That means u1 = 90 or pi/2. So if I put in 2u, does that indicate i don't get the zero vector? I'm assuming M contains vector U as well right? But how can I tell if its closed under multiplication and addition if I only know that sin(u1) =1 and nothing else...

There are 6 problems of this nature in my textbook that I am unable to solve and they do not give ample explanations for them.

To take the first one. For a vector to be in the set ##M## it must have ##\sin(u_1) = 1##. Is the zero vector in ##M##?
 
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Arnoldjavs3 said:
I don't understand how this is enough information to find out if they are subspaces.
Which other information do you expect? You have a full definition of the set M. The addition and scalar multiplication follow the usual operations in R4.
Arnoldjavs3 said:
That means u1 = 90 or pi/2
Not 90 - don't work in degrees. pi/2 is not the only option, there are more.
Arnoldjavs3 said:
So if I put in 2u
What do you mean by that?
To check if the zero vector is in M, just check if it satisfies the condition given there.
Arnoldjavs3 said:
I'm assuming M contains vector U as well right?
What is U?
Arnoldjavs3 said:
But how can I tell if its closed under multiplication and addition if I only know that sin(u1) =1 and nothing else...
Take an arbitrary vector v in your set M, calculate the vector 1/3 v, check if 1/3 v is in M. If it is not, the set is not closed under scalar multiplication. If it is, you have to check other factors or other vectors. To prove that it is closed, you have to check all vectors and all prefactors.
 

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