Answer:
4.7 · 10^7
Step-by-step explanation:
Answer:
Linearly Dependent for not all scalars are null.
Step-by-step explanation:
Hi there!
1)When we have vectors like
we call them linearly dependent if we have scalars
as scalar coefficients of those vectors, and not all are null and their sum is equal to zero.
When all scalar coefficients are equal to zero, we can call them linearly independent
2) Now let's examine the Matrix given:

So each column of this Matrix is a vector. So we can write them as:
Or
Now let's rewrite it as a system of equations:

2.1) Since we want to try whether they are linearly independent, or dependent we'll rewrite as a Linear system so that we can find their scalar coefficients, whether all or not all are null.
Using the Gaussian Elimination Method, augmenting the matrix, then proceeding the calculations, we can see that not all scalars are equal to zero. Then it is Linearly Dependent.



Answer:
a............ you are welcome
Answer:
- 132
Step-by-step explanation:
This can be evaluated without a calculator.
Take each part of the calculation and evaluate, that is
- 6(3)(- 4) = - 6 × - 12 = 72
3(3)²(- 4) = 3 × 9 × - 4 = - 12 × 9 = - 108
2(3)(- 4)² = 6 × 16 = 96
Putting the 3 parts back together
72 - 108 - 96
= 72 - 204
= - 132
you would do 7.8 times 0.5 and would get 3.9. You would add 7.8 and 3.9 and get 11.7 That is your answer