Analyzing Linear Combinations: v1, v2 and v3

But since we're talking about scalars, 0 is a valid scalar. In summary, the conversation discusses whether v3 is a linear combination of v1 and v2, based on the reduced row echelon form of the matrix formed by the three vectors. The definition of a linear combination is also mentioned, and it is concluded that v3 is indeed a linear combination of v1 and v2, with c1 = 1 and c2 = 0. The question of whether 0 is a scalar is also addressed, with the answer being yes.
  • #1
pyroknife
613
3
Lets say you have 3 vectors v1, v2,v3. They form a 3x3 matrix.

Let's say you're asked if v3 is a linear combo of the other two vectors.

Rref of the matrix gives
1 0 1
0 1 0
0 0 0

The definition of a Linear combo is v3=c1v1+c2v2 where c1 and c2 are scalars.

Okay do this is where I get con fused . If u look at the above matrix c2=0 which means v3=c1v1. Would that mean its not a linear combination of v2 since c2=0?

Also is 0 a scalar?
 
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  • #2
pyroknife said:
Okay do this is where I get con fused . If u look at the above matrix c2=0 which means v3=c1v1. Would that mean its not a linear combination of v2 since c2=0?

Also is 0 a scalar?
It IS a linear combination. c2 = 0 is allowed. 0 is a scalar.
 
  • #3
pyroknife said:
Lets say you have 3 vectors v1, v2,v3. They form a 3x3 matrix.

Let's say you're asked if v3 is a linear combo of the other two vectors.

Rref of the matrix gives
1 0 1
0 1 0
0 0 0
Assuming this is an augmented matrix, you have c1 = 1 and c2 = 0.
pyroknife said:
The definition of a Linear combo is v3=c1v1+c2v2 where c1 and c2 are scalars.

Okay do this is where I get con fused . If u look at the above matrix c2=0 which means v3=c1v1. Would that mean its not a linear combination of v2 since c2=0?
No, v3 is a linear combination of v1 and v2; namely, v3 = 1v1 + 0v2.
pyroknife said:
Also is 0 a scalar?
Yes, unless you're talking about a 0 vector, which in this case would be <0, 0, 0>.
 

1. What is a linear combination?

A linear combination is a mathematical operation that involves multiplying each element in a set of numbers by a constant and adding them together. In the context of vectors, it refers to the process of combining two or more vectors by multiplying them by scalars and adding the results.

2. How do you calculate the linear combination of v1, v2, and v3?

To calculate the linear combination of v1, v2, and v3, you would first multiply each vector by a corresponding scalar. For example, if the scalars are a, b, and c, the linear combination would be a*v1 + b*v2 + c*v3. Then, you would add the results of each multiplication together to get the final vector.

3. What is the significance of analyzing linear combinations?

Analyzing linear combinations is important in linear algebra because it allows us to understand the relationships between vectors and how they can be combined to create new vectors. It also helps us to solve systems of linear equations and make predictions in various fields such as physics, engineering, and economics.

4. Can linear combinations be applied to more than three vectors?

Yes, linear combinations can be applied to any number of vectors. The process remains the same - multiplying each vector by a scalar and adding the results together. However, as the number of vectors increases, the calculations become more complex.

5. Are there any limitations to using linear combinations?

One limitation of using linear combinations is that it only applies to vectors in a linear space. Additionally, the vectors used in the combination must be linearly independent, meaning that none of them can be expressed as a linear combination of the others. Otherwise, the resulting vector will not be unique.

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