Question #50562

Why maxima is found when second derivative is less than zero?
Why minima is found when second derivative is grater than zero?
Why and when the minima is grater than maxima. Please explain with example.

Expert's answer

Answer on Question #50562 – Math - Differential Calculus | Equations

Question

Why a minimum is found when second derivative is greater than zero?

Answer

Think about what happens to the gradient of the graph as we travel through the *minimum* turning point, from left to right, that is, as xx increases. Study Figure to help you do this.


dydx\frac{\mathrm{dy}}{\mathrm{dx}} goes from negative through zero to positive as xx increases.

We have


d2ydx2=limh0dydx(x+h)dydx(x)h=limh0dydx(x+h)0h=limh0dydx(x+h)h.\frac{d^2 y}{d x^2} = \lim_{h \to 0} \frac{\frac{dy}{dx}(x + h) - \frac{dy}{dx}(x)}{h} = \lim_{h \to 0} \frac{\frac{dy}{dx}(x + h) - 0}{h} = \lim_{h \to 0} \frac{\frac{dy}{dx}(x + h)}{h}.


From the figure we see


dydx(x+h)>0 when h>0d2ydx2=limh0dydx(x+h)h>0.\frac{dy}{dx}(x + h) > 0 \text{ when } h > 0 \rightarrow \frac{d^2 y}{d x^2} = \lim_{h \to 0} \frac{\frac{dy}{dx}(x + h)}{h} > 0.

Question

Why a maximum is found when second derivative is less than zero?

Answer

Now think about what happens to the gradient of the graph as we travel through the *maximum* turning point, from left to right, that is as xx increases. Study Figure to help you do this.


dydx\frac{\mathrm{dy}}{\mathrm{dx}} goes from positive through zero to negative as xx increases.

We have


d2ydx2=limh0dydx(x+h)dydx(x)h=limh0dydx(x+h)0h=limh0dydx(x+h)h.\frac {d ^ {2} y}{d x ^ {2}} = \lim _ {h \to 0} \frac {\frac {d y}{d x} (x + h) - \frac {d y}{d x} (x)}{h} = \lim _ {h \to 0} \frac {\frac {d y}{d x} (x + h) - 0}{h} = \lim _ {h \to 0} \frac {\frac {d y}{d x} (x + h)}{h}.


From the figure we see


dydx(x+h)<0 when h>0d2ydx2=limh0dydx(x+h)h<0.\frac {d y}{d x} (x + h) < 0 \text{ when } h > 0 \rightarrow \frac {d ^ {2} y}{d x ^ {2}} = \lim _ {h \rightarrow 0} \frac {\frac {d y}{d x} (x + h)}{h} < 0.

Question

Why and when the minima is greater than maxima. Please explain with example.

Answer

The minima is greater than maxima when they are local maxima and local minima. Global maximum is always greater than global minimum.

Example:


y=x3(x2)(x+3).y = \frac {x ^ {3}}{(x - 2) (x + 3)}.


The local maximum xmax<3x_{max} < -3 and y(xmax)<0y(x_{max}) < 0.

The local minimum xmin>2x_{min} > 2 and y(xmin)>0y(x_{min}) > 0.

In this example y(xmax)<y(xmin)y(x_{max}) < y(x_{min}), that is, the local minimum is greater than the local maximum.

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