Not sure about this statement in vector space and matrix

In summary, the statement is discussing the possibility of finding a matrix M(NxN) that is the sum of two matrices, T1 and T2, of the same size. The key is in understanding the definition of ##T_1\oplus T_2## and clarifying the meaning of upper and lower matrices. It is also important to note that the ##T_j## are fixed and cannot be set.
  • #1
LCSphysicist
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Homework Statement
I will write in latex below
Relevant Equations
.
Be ##T_{1}, T_{2}## upper and lower matrix, respectivelly. Show that we haven't matrix ##M(NxN)## such that ##M(NxN) = T_{1}\bigoplus T_{2}##
I am not sure if i get what the statement is talking about, can't we call ##T_{1},T_{2} = 0##? Where 0 is the matrix (NxN) with zeros on all its entries, in this way we can have M(NxN) as the sum of T1 and T2: T1=T2=M(NxN)
 
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  • #2
What is an upper matrix, or a lower matrix? I assume you forgot the word triangular? Which size do the ##T_j## have? And you cannot "set" the ##T_j##, they are fixed, given.

It looks as if the key to the statement lies in the fact, that all matrices are required to be of the same size. You should also properly define what ##T_1\oplus T_2## means!
 

1. What is a vector space?

A vector space is a mathematical structure that consists of a set of vectors and a set of operations that can be performed on those vectors, such as addition and multiplication. It is often used to represent physical quantities, such as force or velocity, in a geometric way.

2. How is a matrix related to a vector space?

A matrix is a rectangular array of numbers that can be used to represent linear transformations between vector spaces. In other words, a matrix can be used to map one vector space to another. Matrices are also used to perform operations on vectors, such as rotation or scaling.

3. What does it mean for a statement to be "not sure" in a vector space and matrix?

In the context of vector spaces and matrices, a statement being "not sure" means that it is not definitively true or false. It may be true in some cases, but not in others. This uncertainty can arise when dealing with infinite-dimensional vector spaces or when certain assumptions are not met.

4. Can a vector space and matrix be used in fields other than mathematics?

Yes, vector spaces and matrices have applications in many fields outside of mathematics, including physics, computer science, and engineering. They are particularly useful in fields that deal with data analysis, optimization, and modeling.

5. What are some real-world examples of vector spaces and matrices?

Some common examples of vector spaces and matrices in the real world include coordinate systems, image processing, and machine learning. For instance, a set of RGB values for an image can be represented as a vector in a three-dimensional vector space, and a matrix can be used to apply filters to that image for editing or analysis.

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