Proving Linear Dependence of r1,r2,r3 Given a,b,c ≠ 0

In summary, the vectors r_1, r_2, r_3 are linearly dependent because one of them is a linear combination of the other two, as shown in the equations above. This proves that the vectors r_1, r_2, r_3 are not linearly independent.
  • #1
Suvadip
74
0
Given that
\(\displaystyle r1=2a-3b+c\)
\(\displaystyle r2=3a-5b+2c\)
\(\displaystyle r3=4a-5b+c\)

where \(\displaystyle a, b, c\) are non-zero and non coplannar vectors

How to prove that \(\displaystyle r1, r2 , r3\) are linearly dependent?

I have moved with \(\displaystyle c1*r1+c2*r2+c3*r3=0\)
but confused how to show that at leat one of \(\displaystyle c1, c2, c3\) is non-zero. We only have the information \(\displaystyle a,b,c \neq 0\) and \(\displaystyle [a b c]\neq 0\)
 
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  • #2
suvadip;42909I have moved with [MATH said:
c1*r1+c2*r2+c3*r3=0[/MATH]
I'll denote the coefficients by $x_1,x_2,x_3$ instead of $c_1,c_2,c_3$ because the letter $c$ already denotes a vector. Usually the convention is to use, for example, English letters from the beginning of the alphabet possibly followed by subscripts or primes to denote vectors, Greek letters possibly with subscripts or primes to denote real numbers and so on.

You can rearrange the equation
\[
x_1r_1+x_2r_2+x_3r_3=0
\]
to have the form
\[
y_1a+y_2b+y_3c=0\qquad(1)
\]
where $y_1,y_2,y_3$ are some numbers expressed through $x_1,x_2,x_3$. Since $a,b,c$ are non-coplanar and hence linearly independent, (1) happens iff
\[
y_1=y_2=y_3=0.\qquad(2)
\]
Thus you have three equations and three variables $x_1,x_2,x_3$. Since this system is homogeneous (the right-hand side is 0), it has a solution $x_1=x_2=x_3=0$. If there are no other solutions, then no nontrivial combination of $r_1,r_2,r_3$ is 0 and thus the vectors are linearly independent. If there is a nonzero solution to (2), then there exists a nontrivial linear combination of $r_1,r_2,r_3$ that equals zero and so the vectors are linearly dependent.
 
  • #3
Hello, suvadip!

Given that: .[tex]\begin{array}{ccc}r_1&=&2a-3b+c \\ r_2&=&3a-5b+2c \\ r_3&=&4a-5b+c \end{array}[/tex]

where [tex]a, b, c[/tex] are non-zero, non-coplannar vectors

How to prove that [tex]r_1, r_2 , r_3[/tex] are linearly dependent?

Show that one of them is a linear combination of the other two.We will show that: .[tex]Pr_1 + Qr_2 \:=\:r_3[/tex] for some integers [tex]P,Q.[/tex]

. . [tex]P(2a-3b+c) + Q(3a-5b+2c) \:=\:4a-5a + c[/tex]

. . [tex]2Pa - 3Pb + PC + 3Qa - 5Qb + 2Qc \:=\:4a-5b+c[/tex]

. . [tex](2P+3Q)a - (3P+5Q)b + (P+2Q)c \:=\:4a-5b+c[/tex]

Equate coefficients: .[tex]\begin{Bmatrix}2P + 3Q &=& 4 \\ 3P + 5Q &=& 5 \\ P+2Q &=& 1 \end{Bmatrix}[/tex]

Solve the system: .[tex]P = 5,\;Q = \text{-}2[/tex]

. . Note: these values must satisfy all three equations.

Therefore, [tex]r_1,r_2,r_3[/tex] are linearly dependent.
 

FAQ: Proving Linear Dependence of r1,r2,r3 Given a,b,c ≠ 0

How do you prove linear dependence of three vectors?

To prove linear dependence of three vectors, you must show that one of the vectors can be written as a linear combination of the other two. This means that the vector can be expressed as a linear combination of the other two vectors, using scalar constants (a,b,c) and vector operations (addition and multiplication).

What is the significance of a, b, c ≠ 0 in proving linear dependence?

The condition a, b, c ≠ 0 means that none of the scalar constants can be equal to zero. This is important because if one of the constants is equal to zero, then the vector cannot be expressed as a linear combination of the other two vectors, and therefore cannot be proven to be linearly dependent.

What is the difference between linear dependence and linear independence?

Linear dependence occurs when one vector can be written as a linear combination of the other vectors. This means that the vectors lie on the same line or plane. Linear independence, on the other hand, occurs when no vector can be written as a linear combination of the other vectors. This means that the vectors are not on the same line or plane, and are therefore linearly independent.

Can you prove linear dependence with more than three vectors?

Yes, linear dependence can be proven with any number of vectors. The same principle applies - if one vector can be written as a linear combination of the other vectors, then the vectors are linearly dependent.

What is the importance of proving linear dependence in mathematical applications?

Proving linear dependence is important in many mathematical applications, such as solving systems of equations, finding the basis of a vector space, and determining the rank of a matrix. It allows us to understand the relationships between vectors and their properties, and can help us solve problems more efficiently.

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