(i) They are linearly dependent since the 2nd vector is twice the 1st vector.
All 3 vectors lie in the x-z plane, so they don't span 3D space.
(ii) They are linearly independent.
Note that the cross-product of the first two is (-1,1,1).
If the third vector is not perpendicular to the above cross-product,
then the third vector does not lie in the plane defined by the first two vectors.
(-1,1,1) "dot" (1,1,-1) = -1+1-1 = -1, not zero, so 3rd vector is not perpendicular
to the cross product of the other two.
No it is not. It's possible to have to have a set of vectors that are linearly dependent but still Span R^3. Same holds true for reverse. Linear Independence does not guarantee Span R^3. IF both conditions are met then that set of vectors is called the Basis for R^3. So, for a set of vectors, S, to be a Basis it must be:(1) Linearly Independent(2) Span S = R^3.This means that both conditions are independent.
set of steps
It has a specific set of possible values.
A ---- check is daily base B ----- check is 300 hours C ----- check is 1500 hours D ----- check is 6000 hours.
Because the description which is given is sufficient to decide whether or not any given number is in the set.
To check whether a set is a subset of another set, you check whether every element of the first set is also an element of the second set.
No, weight and displacement is not a set of vectors. A vector in the area of mathematics is defined as a direction as well as a magnitude of a specific item. Vectors can be labeled in a variety of ways.
No it is not. It's possible to have to have a set of vectors that are linearly dependent but still Span R^3. Same holds true for reverse. Linear Independence does not guarantee Span R^3. IF both conditions are met then that set of vectors is called the Basis for R^3. So, for a set of vectors, S, to be a Basis it must be:(1) Linearly Independent(2) Span S = R^3.This means that both conditions are independent.
Given one vector a, any vector that satisfies a.b=0 is orthogonal to it. That is a set of vectors defining a plane orthogonal to the original vector.The set of vectors defines a plane to which the original vector a is the 'normal'.
The single vector which would have the same effect as all of them together
When you resolve a vector, you replace it with two component vectors, usually at right angles to each other. The resultant is a single vector which has the same effect as a set of vectors. In a sense, resolution and resultant are like opposites.
yes it is
gram schmidt matlab code
An independent system of linear equations is a set of vectors in Rm, where any other vector in Rm can be written as a linear combination of all of the vectors in the set. The vector equation and the matrix equation can only have the trivial solution (x=0).
Since that's a fairly small set, you should be able to check all combinations (for 2 numbers, there are only 4 possible multiplications), and see whether the result is in the set.
2 linear vectors sharing a concentric origin, or 1 linear vector sharing a concentric origin with a mass having all contributing vectors sharing a concentric origin in alignment. The set of vectors is limited, as any noncollinear influence nullifies without a simultaneous exact opposition
The direction of a vector is defined in terms of its components along a set of orthogonal vectors (the coordinate axes).