Question

Please explain linear dependence and explain what is meant by vectors being linearly independent

Please explain linear dependence and explain what is meant by vectors being linearly independent

Homework Answers

Answer #1

a1, a2, a3,...are a set of Linearly Independent vectors if no vector in the set can be written as a linear combination of other vectors.

IF

Then, for Linear Independence

----

a1, a2, a3,...are a set of Linearly Independent vectors if atleast one vector in the set can be written as a linear combination of other vectors.

IF

Then, for Linearly dependent vectors atleast one of the constants is non-zero. Suppose c1 is non-zero implies

Hence, a1 is expressed as a linear combination of other vectors and a1, a2, a3.... are Linearly Dependent

Know the answer?
Your Answer:

Post as a guest

Your Name:

What's your source?

Earn Coins

Coins can be redeemed for fabulous gifts.

Not the answer you're looking for?
Ask your own homework help question
Similar Questions
Topic: Math - Linear Algebra Focus: Matrices, Linear Independence and Linear Dependence Consider four vectors v1...
Topic: Math - Linear Algebra Focus: Matrices, Linear Independence and Linear Dependence Consider four vectors v1 = [1,1,1,1], v2 = [-1,0,1,2], v3 = [a,1,0,b], and v4 = [3,2,a+b,0], where a and b are parameters. Find all conditions on the values of a and b (if any) for which: 1. The number of linearly independent vectors in this collection is 1. 2. The number of linearly independent vectors in this collection is 2. 3. The number of linearly independent vectors in...
Let S={v1,...,Vn} be a linearly dependent set. Use the definition of linear independent / dependent to...
Let S={v1,...,Vn} be a linearly dependent set. Use the definition of linear independent / dependent to show that one vector in S can be expressed as a linear combination of other vectors in S. Please show all work.
If v1 and v2 are linearly independent vectors in vector space V, and u1, u2, and...
If v1 and v2 are linearly independent vectors in vector space V, and u1, u2, and u3 are each a linear combination of them, prove that {u1, u2, u3} is linearly dependent. Do NOT use the theorem which states, " If S = { v 1 , v 2 , . . . , v n } is a basis for a vector space V, then every set containing more than n vectors in V is linearly dependent." Prove without...
Let T be a linear transformation that is one-to-one, and u, v be two vectors that...
Let T be a linear transformation that is one-to-one, and u, v be two vectors that are linearly independent. Is it true that the image vectors T(u), T(v) are linearly independent? Explain why or why not.
Find a linearly independent set of vectors that spans the same subspace of R3 as that...
Find a linearly independent set of vectors that spans the same subspace of R3 as that spanned by the vectors [-3,1,3] , [-6,5,5],[0,-3,1] Linearly independent set: [x,y,z] , [x,y,z]
Show that the set is linearly dependent by finding a nontrivial linear combination of vectors in...
Show that the set is linearly dependent by finding a nontrivial linear combination of vectors in the set whose sum is the zero vector. (Use s1, s2, and s3, respectively, for the vectors in the set.) S = {(5, 2), (−1, 1), (2, 0)} a) (0, 0) = b) Express the vector s1 in the set as a linear combination of the vectors s2 and s3. s1 =
Are vectors [1,0,0,2,1], [0,1,0,1,−4], and [0,0,1,−1,−1], and [3,1,5,2,−6] linearly independent? Are vectors v1=[−16,1,−39], v2=[2,6,3] and v3=[3,1,7]...
Are vectors [1,0,0,2,1], [0,1,0,1,−4], and [0,0,1,−1,−1], and [3,1,5,2,−6] linearly independent? Are vectors v1=[−16,1,−39], v2=[2,6,3] and v3=[3,1,7] linearly independent?
Let x1, x2, ..., xk be linearly independent vectors in R n and let A be...
Let x1, x2, ..., xk be linearly independent vectors in R n and let A be a nonsingular n × n matrix. Define yi = Axi for i = 1, 2, ..., k. Show that y1, y2, ..., yk are linearly independent.
Prove that the span of three linearly independent vectors, u, v, w is R3
Prove that the span of three linearly independent vectors, u, v, w is R3
Give an counter example or explain why those are false a) every linearly independent subset of...
Give an counter example or explain why those are false a) every linearly independent subset of a vector space V is a basis for V b) If S is a finite set of vectors of a vector space V and v ⊄span{S}, then S U{v} is linearly independent c) Given two sets of vectors S1 and S2, if span(S1) =Span(S2), then S1=S2 d) Every linearly dependent set contains the zero vector
ADVERTISEMENT
Need Online Homework Help?

Get Answers For Free
Most questions answered within 1 hours.

Ask a Question
ADVERTISEMENT