Chapter 3: Problem 367
True or False? Justify the answer with a proof or a counterexample. Every function has a derivative.
Short Answer
Expert verified
False; not every function is differentiable, as shown by \( f(x) = |x| \) at \( x = 0 \).
Step by step solution
01
Understanding the Statement
We need to determine whether the statement 'Every function has a derivative' is true or false. A derivative of a function at a point provides the slope of the tangent line to the function's graph at that point, if such a tangent exists.
02
Review of Derivative Definition
Recall the definition of the derivative of a function \( f(x) \) at a point \( a \): the derivative \( f'(a) \) is given by the limit \( \lim_{h \to 0} \frac{f(a+h) - f(a)}{h} \), provided this limit exists.
03
Identifying a Non-Differentiable Function
Consider the absolute value function \( f(x) = |x| \). Its graph has a 'sharp point' at \( x = 0 \). We will use this function as a potential counterexample.
04
Checking Differentiability at a Sharp Point
Calculate the derivative at \( x = 0 \) using the definition:\[ f'(0) = \lim_{h \to 0} \frac{|0+h| - |0|}{h} = \lim_{h \to 0} \frac{|h|}{h}.\]For \( h > 0 \), \( \frac{|h|}{h} = 1 \), and for \( h < 0 \), \( \frac{|h|}{h} = -1 \). These two approaches do not yield the same limit, so \( f'(0) \) does not exist.
05
Conclusion from the Counterexample
The absolute value function \( f(x) = |x| \) does not have a derivative at \( x = 0 \). Therefore, the statement that every function has a derivative is false, as not all functions are differentiable at every point.
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Key Concepts
These are the key concepts you need to understand to accurately answer the question.
Derivative Definition
The derivative is a fundamental concept in calculus, describing how a function changes at a specific point. Simply put, it represents the slope of the tangent line at that point on a function's graph, provided such a tangent exists. To calculate the derivative, we use the limit process. The formula for the derivative of a function \( f(x) \) at a point \( a \) is:\[f'(a) = \lim_{h \to 0} \frac{f(a+h) - f(a)}{h}.\]
- "\( h \)" is a tiny increment added to "\( a \)".
- The fraction inside the limit represents the average rate of change, or the slope between two points.
- The limit ensures we see the instant rate of change as points move infinitely close.
Sharp Points
Some functions display unique characteristics that make them non-differentiable at certain points. A notable example is a 'sharp point' or cusp on a graph. These are places where the direction of the graph changes abruptly without a clear tangent line.To illustrate, consider the absolute value function \( f(x) = |x| \), which has a sharp point at \( x = 0 \). The graph of \( f(x) = |x| \) forms a 'V' shape at this point, indicating that the slope on the left is different from the slope on the right:
- For positive values approaching zero, the calculated slope equals 1.
- For negative values approaching zero, the calculated slope equals -1.
Differentiability at a Point
Differentiability at a point refers to whether or not a function has a derivative at that specific location on its graph. For a function to be differentiable at a point, the limit used in the derivative's definition must exist and be the same from both directions of approach.Key aspects that determine differentiability:
- The function must be continuous at the point; no breaks or jumps should occur.
- The function's slope must smoothly transition without sharp turns.
- Existence of the derivative means the left-hand and right-hand limits of the difference quotient must coincide.