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how are vectors linearly independent ?

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how are vectors linearly independent ?

Vectors are considered linearly independent if no vector in a set can be written as a linear combination of the other vectors in that set. In other words, a set of vectors {v₁, v₂, v₃, …, vₙ} is linearly independent if the equation:

c₁v₁ + c₂v₂ + c₃v₃ + … + cₙvₙ = 0

has only the trivial solution c₁ = c₂ = c₃ = … = cₙ = 0, where “0” represents the zero vector.

To check if a set of vectors is linearly independent, you can perform the following steps:

  1. Set Up the Linear Combination: Assume that the vectors {v₁, v₂, v₃, …, vₙ} can be combined linearly to equal the zero vector as shown above.
  2. Solve for the Constants: Solve for the constants c₁, c₂, c₃, …, cₙ in the equation. This typically involves algebraic manipulation.
  3. Check for the Trivial Solution: If the only solution to the equation is c₁ = c₂ = c₃ = … = cₙ = 0, then the vectors are linearly independent. This means that you cannot create the zero vector by combining the vectors in any nontrivial way.

If there exists a nontrivial solution to the equation (i.e., a solution where not all constants are zero), then the vectors are linearly dependent. In this case, it means that at least one vector in the set can be expressed as a linear combination of the others, indicating redundancy in the set.

For example, consider three vectors v₁, v₂, and v₃ in three-dimensional space. If you can find constants c₁, c₂, and c₃, not all equal to zero, such that:

c₁v₁ + c₂v₂ + c₃v₃ = 0

then the vectors v₁, v₂, and v₃ are linearly dependent. If the only solution is c₁ = c₂ = c₃ = 0, then they are linearly independent.

https://math.stackexchange.com › questions › 412563 › determine-if-vectors-are-linearly-independent

https://math.stackexchange.com › questions › 412563 › determine-if-vectors-are-linearly-independent
linear algebra – Determine if vectors are linearly independent …
you can take the vectors to form a matrix and check its determinant. If the determinant is non zero, then the vectors are linearly independent. Otherwise, they are linearly dependent. Share Cite answered Jun 6, 2013 at 1:50 Wallace 101 2 Add a comment 5 just as simple,make these three vectors to be a matrix,as follows: 2 2 0 1 -1 1 4 2 -2

https://en.wikipedia.org › wiki › Linear_independence

https://en.wikipedia.org › wiki › Linear_independence
Linear independence – Wikipedia
In the theory of vector spaces, a setof vectorsis said to be linearly independentif there exists no nontrivial linear combinationof the vectors that equals the zero vector. If such a linear combination exists, then the vectors are said to be linearly dependent. These concepts are central to the definition of dimension. [1]

https://www.mathbootcamps.com › linearly-independent-vectors-examples

https://www.mathbootcamps.com › linearly-independent-vectors-examples
Linearly independent vectors with examples – MathBootCamps
A set of vectors is linearly independent when none of the vectors can be written as a linear combination of the other vectors. This applies to vectors in (mathbb{R}^n) for any (n) or vector spaces like the polynomial spaces. The more formal definition along with some examples are reviewed below. We will see how to determine if a set of vectors is linearly independent or dependent using the definition or theorems.

https://math.libretexts.org › Bookshelves › Linear_Algebra › A_First_Course_in_Linear_Algebra_(Kuttler) › 04:_R › 4.10:_Spanning_Linear_Independence_and_Basis_in_R

https://math.libretexts.org › Bookshelves › Linear_Algebra › A_First_Course_in_Linear_Algebra_(Kuttler) › 04:_R › 4.10:_Spanning_Linear_Independence_and_Basis_in_R
4.10: Spanning, Linear Independence and Basis in Rⁿ
If each column has a leading one, then it follows that the vectors are linearly independent. Sometimes we refer to the condition regarding sums as follows: The set of vectors, {→u1, ⋯, →uk} is linearly independent if and only if there is no nontrivial linear combination which equals the zero vector.

https://www.cliffsnotes.com › study-guides › algebra › linear-algebra › real-euclidean-vector-spaces › linear-independence

https://www.cliffsnotes.com › study-guides › algebra › linear-algebra › real-euclidean-vector-spaces › linear-independence
Linear Independence – CliffsNotes
If r > 2 and at least one of the vectors in A can be written as a linear combination of the others, then A is said to be linearly dependent. The motivation for this description is simple: At least one of the vectors depends (linearly) on the others. On the other hand, if no vector in A is said to be a linearly independent set. It is also quite common to say that the vectors are linearly dependent (or independent) rather than the set containing these vectors is linearly dependent (or …

https://onlinemschool.com › math › library › vector › linear-independence

https://onlinemschool.com › math › library › vector › linear-independence
Linearly dependent and linearly independent vectors – OnlineMSchool
The vectors are linearly dependent, since the dimension of the vectors smaller than the number of vectors. Example 2. Check whether the vectors a = {1; 1; 1}, b = {1; 2; 0}, c = {0; -1; 1} are linearly independent. Solution: Calculate the coefficients in which a linear combination of these vectors is equal to the zero vector. x1a + x2b + x3c1 = 0

https://math.stackexchange.com › questions › 3858741 › how-to-determine-if-two-vectors-are-linearly-independent

https://math.stackexchange.com › questions › 3858741 › how-to-determine-if-two-vectors-are-linearly-independent
How to determine if two vectors are linearly independent
The original two vectors are linearly independent if and only if the result is a non-zero vector. This can be proven using the sine formula for the cross product’s magnitude, that is $$|atimes b|=|a|cdot|b|cdot |sin theta|,$$ where $theta$ is the angle between the original two vectors. Share Cite Follow answered Oct 10, 2020 at 2:39

https://engineersphere.com › how-to-determine-if-a-vector-set-is-linearly-independent

https://engineersphere.com › how-to-determine-if-a-vector-set-is-linearly-independent
How to Determine if a Vector Set is Linearly Independent
The linear dependence relation is written using our solution vector multiplied by the respective vector from the given set: . We can also conclude that any vectors with non-zero coefficients are linear combinations of each other. Therefore, and are a linear combination. DC Biasing & AC Performance Analysis of BJT & FET Differential Amplifier

https://www.superprof.co.uk › resources › academic › maths › analytical-geometry › vectors › linearly-independent-vectors.html

https://www.superprof.co.uk › resources › academic › maths › analytical-geometry › vectors › linearly-independent-vectors.html
Linearly Independent Vectors | Superprof
In the vectors spaces theory, a set of vectors is believed to be linearly dependent when at least one of the vectors in a set can be expressed as a linear combination of other vectors. On the other hand, the set of vectors is believed to be linearly independent when no vector in a set can be written as a linear combination of any two other vectors.

https://www.quora.com › When-are-vectors-linearly-independent?share=1

https://www.quora.com › When-are-vectors-linearly-independent?share=1
When are vectors linearly independent? – Quora
Answer (1 of 4): As already said, if none is a linear combination of the others, or , equivalently by subtraction, iff the zero vector has a non-trivial representation in terms of the vectors. In terms of finite dimensional vector spaces, if you have more vectors than the dimension of the space t…

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