Linear Algebra-Linear dependence

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In summary, the conversation discusses a problem from Linear Algebra and Applications, Fourth Edition by Gilbert Strang, where a 3x3 matrix U with columns C1, C2, and C3 is given. It is asked to prove that if a=0, d=0, or f=0, the columns of U are dependent. The first two cases are successfully proven, but the third case with f=0 remains unsolved. The attempt at a solution involves finding numbers x and y such that (c, e, 0) can be expressed as a linear combination of (a, 0, 0) and (b, d, 0). If d is not 0, the solution is easily
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manimaran1605
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Homework Statement



let U be a 3x3 matrix containng columns C1, C2, C3. The three column vectors C1= (a,0,0) , C2=(b,d,0), C3=(c,e,f)
prove that if a=0 or d=0 or f=0 (3cases), the columns of U are dependent?
problem from Linear algebra and applications, fourth editon, Gilbert strang


Homework Equations


no eqations


The Attempt at a Solution


I successfully proved the first two cases
if a=0, if we multiply C3 or C2 with zero then C1 will be equal to C2 or C3. The columns become independent
if d=0, if we multiply C1 with b/a and C2 with a/b, C1 and C2 will be identical and the columns become independent.
But i don't know how to prove the third case, i tried with different comibinations of scalars with multiply with C2 and C3, but i can't make this two columns identical. Enlighten me.
 
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The third case has f= 0 so the three vectors are (a,0,0), (b, d, 0), and (c, e, 0).
You want to find numbers x and y such that (c, e, 0)= x(a, 0, 0)+ y(b, d, 0).
That is equivalent to the two equations c= xa+ yb and e= yd. Obviously, if d is not 0, y= e/d and your first equation become c= xa+ be/d. It should be easy to solve that for x. If d= 0 there are an infinite number of soutions.
 

FAQ: Linear Algebra-Linear dependence

What is linear dependence?

Linear dependence is a concept in linear algebra that refers to the relationship between a set of vectors. It occurs when one or more vectors in the set can be expressed as a linear combination of the other vectors in the set.

Why is linear dependence important?

Linear dependence is important because it helps us understand whether a set of vectors can span the entire space they are in. If the vectors are linearly independent, they can span the entire space. However, if they are linearly dependent, they cannot span the space and may be redundant.

How do you determine if a set of vectors is linearly dependent?

A set of vectors is linearly dependent if at least one of the vectors can be written as a linear combination of the others. This can be determined by setting up a system of equations and solving for the coefficients using techniques such as Gaussian elimination or matrix inversion.

What is the difference between linear independence and linear dependence?

The main difference between linear independence and linear dependence is that linearly independent vectors can span the entire space they are in, while linearly dependent vectors cannot. Linear independence means that none of the vectors in a set can be written as a linear combination of the others.

What are some real-world applications of linear dependence?

Linear dependence has many applications in various fields such as physics, engineering, and computer graphics. It is used to analyze and solve systems of linear equations, determine the stability of structures, and create 3D models. It is also used in machine learning and data analysis to reduce redundant data and improve efficiency.

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