So far we've seen how to differentiate a function that was made of one single term, like \(f(x)=3x^4\), for which \(f'(x)=12x^3\).
But what if we had to differentiate a function that had 2, or 3, or more, terms?
For instance, how would we differentuate the function: \[y = 3x^5+4x^2\] which consists of 2 terms being added?
Given two functions \(f(x)\) and \(g(x)\), to differentiate their sum, or their difference, we differentiate each of them terms as though they were on their own: \[\begin{pmatrix} f(x) \pm g(x) \end{pmatrix}' = f'(x) \pm g'(x) \] In other words the derivative of the sum, or the difference, of two functions is equal to the sum, or the difference, of the derivatives of each of the two functions.
Differentiate each of the following functions with respect to \(x\):
Given a function \(f(x)\) and a scalar \(\alpha \in \mathbb{R}\) (a real number) the derivative of the product \(\alpha f(x)\) equals
to the product of \(\alpha \) and the derivative \(f'(x)\).
That's:
\[\begin{pmatrix} \alpha f(x) \end{pmatrix}' = \alpha f'(x)\]
Put simply: when we differentiate a function that is being multiplied by a number, the result is the derivative of that function multiplied by that same number.
Given two functions \(f(x)\) and \(g(x)\) as well as two scalars \(\alpha\) and \(\beta \) both in \(\mathbb{R}\), the derivative
of any linear combination of \(f(x)\) and \(g(x)\) equals to the same linear combination of their derivatives.
That's:
\[\begin{pmatrix} \alpha f(x) + \beta g(x) \end{pmatrix}' = \alpha f'(x) + \beta g'(x)\]
Given \(f(x)=x^3\), \(g(x)=\sqrt{x}\) and \(h(x) = \frac{1}{x^2}\), differentiate each of the following: