True or false problem for double differentiable function

In summary, the "True or false problem for double differentiable function" explores the properties and behaviors of functions that possess continuous second derivatives. It examines various statements regarding these functions, determining their validity based on mathematical principles and theorems related to calculus, such as the implications of continuity and differentiability. The problem encourages critical thinking and application of theoretical concepts to analyze the characteristics of double differentiable functions.
  • #1
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Homework Statement
Please see below
Relevant Equations
Please see below
For this true or false problem,
1715582269576.png

My solution is,
With rearrangement ##\frac{f(x) - f(a)}{x - a} > f'(a)## for ##x < a## since ##f''(x) > 0## implies ##f'(x)) > 0## from integration. ##f'(x) > 0## is equivalent to ##f(x)## is strictly increase which means that ##\frac{f(x) - f(a)}{x - a} > f'(a) = \lim_{x \to a} \frac{f(x) - f(a)}{x - a}##. However, I feel like I'm not showing enough steps in the proof to show for sure that the answer is True.

Does anybody else agree and know what more I should include?

Thanks!
 
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  • #2
ChiralSuperfields said:
since ##f''(x) > 0## implies ##f'(x)) > 0## from integration
Counter example:
$$
f(x) = x(x - 1)
$$
This leads to ##f''(x)= 2 > 0## and ##f'(x) = 2x - 1##, which is negative for ##x < 1/2##.
 
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  • #3
Second derivative positive implies ##f## is convex for ##x<a##. Take anything that is convex and decreasing for (some) ##x<a## as counterexample to your claim of ##f'(x)>0##.

As for the initial claim, think again of convexity. The slope at ##x=a## must be as large as it gets as ##x\to a-##. Moving to the left necessarily decreases the slope.

To illustrate, let ##f(x)=x^2## and ##a=1##. The slope at ##a=1## is ##2##, whereas if ##x=1-\delta##, then
[tex]
\frac{1-(1-\delta)^2}{\delta} = 2-\delta<2.
[/tex]

Apply this concept in the general case.
 
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  • #4
Orodruin said:
Counter example:
$$
f(x) = x(x - 1)
$$
This leads to ##f''(x)= 2 > 0## and ##f'(x) = 2x - 1##, which is negative for ##x < 1/2##.
I don't think that is a counter example. ##f'(x)(x-1/2)## is positive, so ##f(x) > f(1/2) + f'(1/2)(x-1/2) = -1/4## for ##x < 1/2##
temp.png
 
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  • #5
FactChecker said:
I don't think that is a counter example. ##f'(x)(x-1/2)## is positive, so ##f(x) > f(1/2) + f'(1/2)(x-1/2) = -1/4## for ##x < 1/2##
View attachment 345170

It i a counter example to the assertion [itex]f''(x) > 0 \Rightarrow f(x) > 0[/itex].
 
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  • #6
the thing that puzzled me is that the original statement was true in all my examples (since the hypothesis implies the left part of the curve lies above its tangent line,) but the rearranged one was not. Then I finally noticed you had divided your inequality by the negative number (x-a), which should have changed its direction.
 
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  • #7
FactChecker said:
I don't think that is a counter example. ##f'(x)(x-1/2)## is positive, so ##f(x) > f(1/2) + f'(1/2)(x-1/2) = -1/4## for ##x < 1/2##
View attachment 345170
Not to the problem statement, to the OP’s assertion that I quoted.
 
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  • #8
Orodruin said:
Not to the problem statement, to the OP’s assertion that I quoted.

Sorry. I missed that point. I stand corrected.
 
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FAQ: True or false problem for double differentiable function

What is a true or false problem in the context of double differentiable functions?

A true or false problem in this context typically involves making assertions about the properties or behavior of double differentiable functions, which are functions that have continuous second derivatives. These problems often challenge the understanding of concepts such as concavity, convexity, and the implications of the second derivative test.

How can I determine if a statement about a double differentiable function is true or false?

To determine the truth of a statement about a double differentiable function, one can analyze the function using calculus techniques. This includes computing the first and second derivatives, applying the second derivative test, checking for continuity, and examining critical points. Each statement can be verified against known mathematical theorems and properties of double differentiable functions.

What is the significance of the second derivative in true or false problems involving double differentiable functions?

The second derivative provides crucial information about the concavity of a function. If the second derivative is positive at a point, the function is concave up, and if it is negative, the function is concave down. This information is essential for solving true or false problems, particularly those that involve determining local maxima, minima, or inflection points.

Can a double differentiable function have points where the second derivative is zero?

Yes, a double differentiable function can have points where the second derivative is zero. These points are known as inflection points, where the concavity of the function may change. However, having a zero second derivative does not guarantee that a local extremum exists at that point; further analysis is required.

What are common misconceptions about true or false problems related to double differentiable functions?

Common misconceptions include the belief that a positive second derivative always indicates a local minimum or that a zero second derivative implies a point of inflection. Additionally, some may incorrectly assume that all double differentiable functions are smooth and continuous everywhere, overlooking potential discontinuities in higher derivatives.

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