Just as the slope of the tangent line to the graph of f at the point (x, f(x)) describes the behavior of the function, concavity describes the behavior of the slope. As x increases (graph goes from left to right), one of the following is true:
Again, remember that concavity directly affects the slope, NOT the function itself. I mean this in the sense that concavity affects slope affects function.
Mathematically speaking, you can find the concavity at a certain point by taking the derivative of the derivative of the function (accurately called the second derivative, f''). So, when you take the derivative of a function, you get the first derivative, f' (describing slope), and the derivative of that is the second derivative (describing the concavity).
Last but not least, here is a handy way to find the concavity of a function by looking at its graph:
First observe that f'(x) = 2x.
We see that f' < 0 when x < 0 and f' > 0 when x > 0. So that the graph is decreasing on the negative real axis and the graph is increasing on the positive real axis.
Next observe that f''(x) = 2.
Thus, f'' > 0 at all points. Thus the graph is concave up everywhere.
Finally observe that the graph passes through the origin.
First observe that f'(x) = -2x.
We see that f' > 0 when x < 0 and f' < 0 when x > 0. So that the graph is increasing on the negative real axis and the graph is decreasing on the positive real axis.
Next observe that f''(x) = -2.
Thus, f'' < 0 at all points. Thus the graph is concave down everywhere.
Finally observe that the graph passes through the origin.
Look at the graph of f(x) = x3
First observe that f'(x) = 3x2.
Thus, f' ≥ 0 everywhere. The function is always increasing.
Next observe that f''(x) = 6x.
Thus, f'' < 0 when x < 0 and f'' > 0 when x > 0. So the graph is concave down on the negative real axis and concave up on the positive real axis.
Finally observe that the graph passes through the origin.
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The precision of a linear approximation is dependent on the concavity of the function. If the function is concave down then the linear approximation will lay above the curve, so it will be an over-approximation ("too large"). If the function is concave up then the linear approximation will lay below the curve, so it will be an under-approximation ("too small").
If y is an exponential function of x then x is a logarithmic function of y - so to change from an exponential function to a logarithmic function, change the subject of the function from one variable to the other.
Yes, the word 'function' is a noun (function, functions) as well as a verb (function, functions, functioning, functioned). Examples: Noun: The function of the receptionist is to greet visitors and answer incoming calls. Verb: You function as the intermediary between the public and the staff.
yes
That's true. If a function is continuous, it's (Riemman) integrable, but the converse is not true.