Linear Algebra: Subspace proof

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SUMMARY

The discussion focuses on proving that a set U is a vector subspace of a vector space V if it satisfies closure under addition and scalar multiplication, specifically using the operations defined as \oplus for addition and \odot for scalar multiplication. The proof requires demonstrating that for all u1, u2 in U, the operation u1 \oplus u2 remains in U, and for all u in U and t in ℝ, the operation t \odot u also remains in U. A key hint provided is to consider the scalar 2 in ℝ to help establish closure under addition. The discussion also highlights that the definitions of addition and multiplication can be arbitrary as long as they adhere to the vector space axioms.

PREREQUISITES
  • Understanding of vector spaces and their axioms
  • Familiarity with scalar multiplication and vector addition
  • Basic knowledge of mathematical proofs and logic
  • Experience with operations in ℝ, particularly in the context of vector spaces
NEXT STEPS
  • Study the properties of vector spaces, focusing on closure under addition and scalar multiplication
  • Learn about different definitions of vector addition and multiplication in abstract vector spaces
  • Explore examples of non-commutative operations and their implications for vector spaces
  • Practice constructing proofs in linear algebra, particularly involving subspaces
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Students of linear algebra, mathematics majors, and anyone interested in understanding the foundational concepts of vector spaces and subspaces.

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1. Homework Statement :

Prove: A set U \subset V = (V, \oplus, \odot) is a vector subspace of V if and only if (\forallu1, u2 \in U) (1/2 \odot (u1 \oplus u2) \in U) and (\forallu \in U) (\forallt \in \mathbb{R}) (t \odot u \in U).

3. The Attempt at a Solution :

I don't have the first clue. To me, it seems that there is missing information. I know that for a subspace, it is sufficient to prove only closure under addition and scalar multiplication. Maybe he's defining a different sort of addition? Ugh, the whole proof thing is actually pretty new to me. I only started doing simple proofs last semester in Discrete Mathematics...
 
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Maybe he's defining a different sort of addition?

He's using \oplus and \odot as representatives of addition and multiplication, respectively, just with other symbols. In this proof, you're working with an arbitrary vector space, so that addition and multiplication may not be defined in the sense that you're used to. In fact, they're both defined arbitrarily, and we can define addition and multiplication however we want to, as long as they satisfy the axioms of a vector space. However, even though the vector space operations are unknown, we do know how multiplication works in R.

In any case, here is what you must prove: for each t in R and for each u in U, t \odot u \in U and for all u_1, u_2 \in U, \, u_1 \oplus u_2 \in U. The first thing you need to prove has already been given to you. All you need to prove is closure under addition. I'll give you a hint, and then you're going to have to think a little bit about what to do. The hint is: 2\in \mathbb{R}. Now you're going to have to use the vector space axioms and the first given to figure out why closure under addition holds.
 
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Thank you. Yeah, the next problem defines u \oplus v (u, v in R3) as v X u. This one is simple in that v X u is not commutative and therefore R3 with this definition is not a vector space.
 

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