Problem 67
Question
The function \(y=f(x)\), defined parametrically as \(x=2 t-|t-1|\) and \(y=2 t^{2}+t|t|\), is (A) continuous and differentiable for \(x \in R\) (B) continuous for \(x \in R\) and differentiable for \(x \in\) \(R-\\{2\\}\) (C) continuous for \(x \in R\) and differentiable for \(x \in\) \(R-\\{-1,2\\}\) (D) None of these
Step-by-Step Solution
Verified Answer
The correct option is (C).
1Step 1: Understand the Parametric Equations
The function is defined using parameters. We have given \(x = 2t - |t-1|\) and \(y = 2t^2 + t|t|\). To check for continuity and differentiability, first understand how these parameters behave for different real values of \(t\). Particularly, handle the absolute value expressions and how they change at \(t = 1\) and \(t = 0\).
2Step 2: Simplify the Parametric Expressions
For \(x = 2t - |t-1|\):- When \(t \geq 1\), \(|t-1| = t-1\), so \(x = 2t - (t-1) = t+1\).- When \(t < 1\), \(|t-1| = 1-t\), so \(x = 2t - (1-t) = 3t-1\).For \(y = 2t^2 + t|t|\):- When \(t \geq 0\), \(|t| = t\), so \(y = 2t^2 + t^2 = 3t^2\).- When \(t < 0\), \(|t| = -t\), so \(y = 2t^2 - t^2 = t^2\).
3Step 3: Analyze the Function for Continuity
Both \(x(t)\) and \(y(t)\) are polynomials, which are continuous for all real \(t\). Therefore, the function \(y = f(x)\) is continuous over \(x \in \mathbb{R}\) since the ranges of these \(t\) provide continuous mappings for \(x\).
4Step 4: Explore Differentiability
Check for differentiability of \(x(t)\) and \(y(t)\) by differentiating:For \(x(t)\), find \(dx/dt\). In the expression for \(x\), there might be a potential discontinuity at \(t=1\) because of the absolute value:- \(dx/dt = 1\) for \(t \geq 1\)- \(dx/dt = 3 \) for \(t < 1\)For \(y(t) = 3t^2\) when \(t \geq 0\) and \(y(t) = t^2\) otherwise:- \(dy/dt = 6t\) when \(t \geq 0\)- \(dy/dt = 2t\) otherwiseFrom the \(t=0\) and \(t=1\) reflections, ensure \(dy/dx\) is undefined there, implicating differentiability excludes certain points by examining those closely.
5Step 5: Conclusion for Options
Now, plug any excluded points from differentiability into the options.- (A): Is not valid since it's not differentiable for all \(x \in \mathbb{R}\).- (B): Incorrect as differentiability is affected at points where changes around \(t\) (potentially near zero).- (C): Correct, as differentiable points are all \(x\) excluding points affected, namely \(-1, 2\).- (D): Negation of other valid options.
Key Concepts
ContinuityDifferentiabilityAbsolute Value Functions
Continuity
When discussing parametric equations like those given in the exercise, continuity is a key concept. A function is continuous if there are no breaks or jumps in its graph. For our exercise, both parametric definitions, like the one for \( x(t) = 2t - |t-1| \), need to be continuous over real values of \( t \).
For different values of \( t \), the absolute value impacts the expression: when \( t \geq 1 \), the expression becomes \( x = t + 1 \), and when \( t < 1 \), it becomes \( x = 3t - 1 \). Since these are linear expressions, they're continuous over their respective intervals.
Likewise, \( y(t) = 2t^2 + t|t| \) is combined into simple polynomial expressions for different \( t \)'s: \( y = 3t^2 \) for \( t \geq 0 \) and \( y = t^2 \) for \( t < 0 \). Polynomials are inherently continuous, so \( y(t) \) is continuous as well.
For different values of \( t \), the absolute value impacts the expression: when \( t \geq 1 \), the expression becomes \( x = t + 1 \), and when \( t < 1 \), it becomes \( x = 3t - 1 \). Since these are linear expressions, they're continuous over their respective intervals.
Likewise, \( y(t) = 2t^2 + t|t| \) is combined into simple polynomial expressions for different \( t \)'s: \( y = 3t^2 \) for \( t \geq 0 \) and \( y = t^2 \) for \( t < 0 \). Polynomials are inherently continuous, so \( y(t) \) is continuous as well.
- Thus, the function described by these parametric equations provides a continuous mapping for all real numbers \( t \).
- The continuity translates to the function \( y = f(x) \) being continuous over all real numbers \( x \).
Differentiability
Differentiability indicates whether a function has a defined slope at every point, meaning it must be smooth without any sharp turns or corners.
For parametric equations, checking differentiability often involves calculating derivatives. We take \( dx/dt \) and \( dy/dt \), and use them to find \( dy/dx \).
For \( x(t) \), depending on the value of \( t \) and due to the presence of an absolute value, the derivative changes:
For \( y(t) \),
Assessing \( dy/dx \), we notice undefined behavior at \( t = 0 \) and \( t = 1 \) (due to division in \( dy/dx \)), implying the function is not differentiable at these \( x \) points.
For parametric equations, checking differentiability often involves calculating derivatives. We take \( dx/dt \) and \( dy/dt \), and use them to find \( dy/dx \).
For \( x(t) \), depending on the value of \( t \) and due to the presence of an absolute value, the derivative changes:
- For \( t \geq 1 \), \( dx/dt = 1 \).
- For \(t < 1\), \( dx/dt = 3 \).
For \( y(t) \),
- When \( t \geq 0 \), \( dy/dt = 6t \).
- When \( t < 0 \), \( dy/dt = 2t \).
Assessing \( dy/dx \), we notice undefined behavior at \( t = 0 \) and \( t = 1 \) (due to division in \( dy/dx \)), implying the function is not differentiable at these \( x \) points.
- This results in exclusions from the differentiable domain for points in \( x \) corresponding to \( t = -1, 2 \).
Absolute Value Functions
Absolute value functions are crucial in parametric equations since they affect how expressions behave at certain points. An absolute value, like in \( |t-1| \) from our exercise, modifies the expression based on the condition of its argument.
If \( t \geq 1 \), then \( |t-1| = t-1 \), otherwise, it becomes \( 1-t \) when \( t < 1 \). This leads to different linear expressions for different intervals of \( t \).
If \( t \geq 1 \), then \( |t-1| = t-1 \), otherwise, it becomes \( 1-t \) when \( t < 1 \). This leads to different linear expressions for different intervals of \( t \).
- This behavior creates potential points of non-differentiability or non-smoothness in the function as slope may suddenly change.
- It's essential to analyze these critical points (where the behavior changes) to understand the function's behavior entirely.
Other exercises in this chapter
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