Dominika's question at Yahoo Answers Regarding Convex Functions

In summary, the statement is that if $f$ is differentiable on the interval $(a,b)$, then $f$ is convex if and only if $a,b$ is convex and $f(x)\geq f(c)+f^{\prime}(c)(x-c)$ for all $x,c\in (a,b)$.
  • #1
Chris L T521
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Here is the question:

Dominika said:
Let $f$ be differentiable on the interval $(a,b)$. Show that $f$ is convex on $(a,b)$ if and only if, for every $c$ from $(a,b)$ its graph is placed above or on the tangent passing through a point $(c,f(c))$
Thanks a lot..

Here is a link to the question:

Convex function ...? - Yahoo Answers

I have posted a link there to this topic so the OP can find my response.
 
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  • #2
Hi Dominika,

The statement we want to prove is the following:

Suppose that $f$ is differentiable on it's domain $(a,b)$. Then $f$ is convex if and only if $(a,b)$ is convex and $f(x)\geq f(c)+f^{\prime}(c)(x-c)$ for all $x,c\in (a,b)$.

We're going to assume (without proof) the fact that an interval is convex (i.e. for any $x,y\in (a,b)$, we have $ty+(1-t)x\in (a,b)$ for any $0\leq t\leq 1$).

We proceed with the proof as follows.

Proof: Suppose $f$ is convex on $(a,b)$. Then for any $t\in[0,1]$ and $x,c\in(a,b)$, $tx + (1-t)c = c + t(x-c) \in (a,b)$. Furthermore, by definition of convexity of $f$, we have that
\[f(tx+(1-t)c) = f(c+t(x-c)) \leq tf(x) + (1-t)f(c).\]
Dividing both sides by $t$ and then solving the inequality for $f(x)$ gives us
\[f(x) \geq f(c) + \frac{f(c+t(x-c))-f(c)}{t}\]
Taking the limit as $t\to 0$ gives us
\[f(x)\geq f(c) + f^{\prime}(c)(x-c),\tag{1}\]
which is the desired result ($f(x)\geq\text{tangent line}$).

Conversely, suppose that $f$ lies above any tangent line over the interval $(a,b)$. Choose $x,c\in(a,b)$ such that $x\neq c$. Now, for any $t\in [0,1]$, define $z=tx + (1-t)c= c+t(x-c)$. We can see from here that $\color{red}{x-z}= \color{red}{(1-t)(x-c)}$ and $\color{blue}{c-z}=\color{blue}{-t(x-c)}$. Applying $(1)$ twice gives us
\[f(x)\geq f(z) + f^{\prime}(z)(x-z)\tag{2}\]
and
\[f(c)\geq f(z)+f^{\prime}(z)(c-z).\tag{3}\]
If we now multiply $(2)$ by $t$ and $(3)$ by $(1-t)$ and add them together, we see that
\[\begin{aligned} tf(x)+(1-t)f(c) &\geq tf(z)+(1-t)f(z) + tf^{\prime}(z)(\color{red}{x-z}) + (1-t)f^{\prime}(z)(\color{blue}{c-z})\\ &= f(z) + tf^{\prime}(z)\color{red}{(1-t)(x-c)} + (1-t)f^{\prime}(z)(\color{blue}{-t(x-c)})\\ &= f(z),\end{aligned}\]
which is the condition of convexity. Therefore, $f$ is convex.$\hspace{.25in}\blacksquare$

I hope this makes sense! (Smile)
 

FAQ: Dominika's question at Yahoo Answers Regarding Convex Functions

What is a convex function?

A convex function is a mathematical function that satisfies the condition that a line segment drawn between any two points on the graph of the function lies above or on the graph. In other words, the function is always "curving upwards" and does not have any "dips" or "valleys" in its shape.

How is a convex function different from a concave function?

A convex function is the opposite of a concave function. While a convex function curves upwards, a concave function curves downwards. This means that a line segment drawn between any two points on the graph of a concave function lies below or on the graph.

What are some real-life applications of convex functions?

Convex functions have many applications in various fields such as economics, engineering, and optimization. They are commonly used in cost-benefit analysis, production functions, and portfolio optimization. In computer science, convex functions are used in machine learning algorithms for data analysis and pattern recognition.

How can convex functions be optimized?

Convex functions can be optimized using various methods such as gradient descent, Newton's method, and convex programming. These methods involve finding the minimum or maximum value of the function through iterative calculations and adjustments.

Are all functions convex?

No, not all functions are convex. Some functions, like trigonometric functions, are neither convex nor concave. However, many commonly used functions, such as linear functions, quadratic functions, and exponential functions, are convex.

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