Matrix Algebra; Linear Dependece; 3 Vectors; In R^4

In summary, to determine if three vectors in R4 are linearly dependent or independent, you can create a matrix with the three vectors and perform row reduction to see if there exists a non-trivial solution. The convention for denoting the fourth component is to use x4, but any convention can work as long as it doesn't confuse others. The definition of linear independence and dependence is that a set of vectors is dependent if there exists a non-trivial solution to the equation a1v1 + a2v2 + ... + anv_n = 0, and independent if the only solution is the trivial solution a1 = a2 = ... = an = 0.
  • #1
bmed90
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Homework Statement



You have 3 Vectors say v1,v2,v3 in R^4 meaning they each have 4 components. How do you determine if they are linearly dependent or independent? And usually how do you denote 4 components? I know everyone knows how to denote three components which is just x,y,z but idk what to call the 4th one. The question is simple, can someone just give me a brief play by play on how to determine the dependence or independence? My book is not very much help and I even googled it.

Homework Equations





The Attempt at a Solution

 
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  • #2
You can just call them x1, x2, x3, x4 - in fact you can call them anything you want to, but it's best to stick to standard conventions so it doesn't confuse anyone.

So it would be in a column: <x1,x2,x3,x4>

You need to create a matrix with the 3 vectors (3 columns and 4 rows because of 4 components), and perform row reduction on them. This will help you determine if they are linearly dependent or not.
 
  • #3
Are you saying that your book does not give the definition of "independence" and "dependence"? I find that had to believe! And it is all you need.
A set of vectors, [itex]\{v_1, v_2, ..., v_n\}[/itex], is "dependent" if and only if there exist a set of numbers, [itex]\{a_1, a_2,..., a_n\}[/itex], not all 0, such that [itex]a_1v_1+ a_2v_2+ ...+ a_nv_n= 0[/itex].

If you have vectors in [itex]R^4[/itex], each vector has four components and so, with three vectors, you would have three equations in four unknowns. It should be easy to find many values of the unknowns that satify those equations.

("not all 0" added after Mark44 pointed out my error. Thanks.)
 
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  • #4
HallsofIvy said:
A set of vectors, [itex]\{v_1, v_2, ..., v_n\}[/itex], is "dependent" if and only if there exist a set of numbers, [itex]\{a_1, a_2,..., a_n\}[/itex], such that [itex]a_1v_1+ a_2v_2+ ...+ a_nv_n= 0[/itex].
There must be a typo here. Using this definition, I would conclude wrongly that x = <1, 0> and y = <0, 1> are linearly dependent vectors in R2. Clearly, the numbers a = 0 and b = 0 are a solution for the equation ax + by = 0. In fact, there are no other solutions for the constants a and b in this equation.

If the equation [itex]a_1v_1+ a_2v_2+ ...+ a_nv_n= 0[/itex] has only a single solution (the trivial solution, a1 = 0 = a2 = ... = an) for the constants a1, ..., an, then the vectors [itex]\{v_1, v_2, ..., v_n\}[/itex] are linearly independent.

If this equation has more than one solution for the constants, a1, ..., an, then this set of vectors is linearly dependent.
 
  • #5
HallsofIvy said:
If you have vectors in [itex]R^4[/itex], each vector has four components and so, with three vectors, you would have three equations in four unknowns. It should be easy to find many values of the unknowns that satify those equations.
You're thinking of the case of four vectors in R3. With three vectors in R4, you get four equations with three unknowns.
 

1. What is matrix algebra?

Matrix algebra is a branch of mathematics that deals with the study of matrices, which are rectangular arrays of numbers or symbols arranged in rows and columns. It involves operations such as addition, subtraction, multiplication, and inversion of matrices.

2. What is linear dependence?

Linear dependence refers to the relationship between two or more vectors where one vector can be expressed as a linear combination of the others. In other words, one vector is a multiple of another vector or a combination of multiple vectors in the set.

3. How do you determine if three vectors are linearly dependent in R^4?

In order to determine if three vectors are linearly dependent in R^4, you would need to create a 4x3 matrix with the three vectors as columns. Then, perform row reduction on the matrix. If there is at least one row of all zeroes, then the vectors are linearly dependent. If there are no rows of all zeroes, then the vectors are linearly independent.

4. What does it mean for a set of vectors to be in R^4?

R^4 refers to a four-dimensional vector space, which means that each vector in the set has four components. These components could represent quantities such as position, velocity, or acceleration in four-dimensional space.

5. Can you give an example of three linearly dependent vectors in R^4?

One example of three linearly dependent vectors in R^4 would be (1,0,0,0), (0,1,0,0), and (0,0,1,0). Each of these vectors can be expressed as a linear combination of the others, for example, (1,0,0,0) = 1*(0,1,0,0) + 0*(0,0,1,0) + 0*(0,0,0,1).

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