Problem 104
Question
Suppose that \(f(x)=x^{2}\) and \(g(x)=|x| .\) Then the composites $$(f \circ g)(x)=|x|^{2}=x^{2} \quad \text { and } \quad(g \circ f)(x)=\left|x^{2}\right|=x^{2}$$ are both differentiable at \(x=0\) even though \(g\) itself is not differentiable at \(x=0 .\) Does this contradict the Chain Rule? Explain.
Step-by-Step Solution
Verified Answer
No, it does not contradict the Chain Rule.
1Step 1: Understanding Differentiability
The chain rule states that if two functions are differentiable, then their composite function is differentiable. For this exercise, we need to explore the differentiability of \(f \circ g\) and \(g \circ f\) at \(x = 0\).
2Step 2: Examining the Functions f and g
The function \(f(x) = x^2\) is differentiable everywhere, including at \(x = 0\), with \(f'(x) = 2x\). The function \(g(x) = |x|\) is not differentiable at \(x = 0\) because its left-hand and right-hand derivatives do not match at this point.
3Step 3: Calculating the Composite Function (f ∘ g)(x)
For the composite function \((f \circ g)(x) = f(g(x)) = |x|^2=x^2\), we note that \(x^2\) is the result, which is differentiable at all x, including \(x=0\). Thus, \((f \circ g)(x)\) is differentiable at \(x = 0\).
4Step 4: Calculating the Composite Function (g ∘ f)(x)
For the composite function \((g \circ f)(x) = g(f(x)) = |x^2|=x^2\), the result is also \(x^2\). This function is differentiable everywhere, including at \(x = 0\). So, \((g \circ f)(x)\) is differentiable at \(x = 0\).
5Step 5: Applying the Chain Rule
The Chain Rule requires both functions in the composition to be differentiable at the relevant point for the chain rule to hold. However, here the compositions \((f \circ g)(x)\) and \((g \circ f)(x)\) lead to the function \(x^2\), which is differentiable, despite \(g(x)\) not being differentiable at \(x=0\). This simply reflects that the chain rule does not apply because \(g(x)\) is not differentiable at \(x = 0\), but it does not prevent the compositions themselves from being differentiable.
6Step 6: Conclusion
The differentiability of \((f \circ g)(x)\) and \((g \circ f)(x)\) does not contradict the Chain Rule because the rule is contingent on both functions being differentiable at the point in question. The fact that these compositions are differentiable is an exceptional case due to the particular functions involved, not a violation of mathematical principles.
Key Concepts
Function CompositionDifferentiabilityAbsolute Value Function
Function Composition
To better understand the exercise, let's start by exploring the concept of function composition. When we talk about function composition, we're simply referring to combining two functions in such a way that the output of one function becomes the input of another. For instance, if we have two functions, \( f(x) \) and \( g(x) \), we can create the composite functions \((f \circ g)(x)\) and \((g \circ f)(x)\). In our specific exercise,
- \((f \circ g)(x)\) means applying \( g \) first, then \( f \) to the result, giving us \( f(g(x)) \).
- \((g \circ f)(x)\) means applying \( f \) first, then \( g \) to the result, resulting in \( g(f(x)) \).
Differentiability
Now, what about differentiability? Differentiability is a concept that answers whether or not a function has a derivative at a certain point. It's very much tied to the idea of smoothness; if you imagine the graph of a function being smooth and without any sharp turns, it's likely differentiable there. In the context of our problem,
- The function \(f(x) = x^2\) is a classic example of a differentiable function, with \(f'(x) = 2x\), which clearly exists everywhere including at \(x = 0\).
- However, the function \(g(x) = |x|\) is not differentiable at \(x = 0\) because while approaching from the left you have \(-1\), and from the right \(1\); these don't match, creating a 'kink' or a sharp point in the graph.
Absolute Value Function
Finally, let's delve into the absolute value function, \(g(x) = |x|\), which plays a pivotal role in our exercise. The absolute value function basically takes any input, looks at its size without regard for its sign, and outputs that size as a positive number. This can be understood as a reflection process, where
- If \(x\) is positive or zero, \(g(x) = x\).
- If \(x\) is negative, \(g(x) = -x\).
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