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Each of Exercises \(15-30\) gives a function \(f(x)\) and numbers \(L, c,\) and \(\varepsilon>0 .\) In each case, find an open interval about \(c\) on which the inequality \(|f(x)-L|<\varepsilon\) holds. Then give a value for \(\delta>0\) such that for all \(x\) satisfying \(0<|x-c|<\delta\) the inequality \(|f(x)-L|<\varepsilon\) holds. $$f(x)=m x, \quad m>0, \quad L=2 m, \quad c=2, \quad \varepsilon=0.03$$

Short Answer

Expert verified
The open interval is \( (2 - \frac{0.03}{m}, 2 + \frac{0.03}{m}) \) and \( \delta = \frac{0.03}{m} \).

Step by step solution

01

Understand the Problem

We need to find an interval around the given point \(c = 2\) where the function \(f(x) = mx\) is within \(\varepsilon = 0.03\) of the limit \(L = 2m\). Afterward, find \(\delta > 0\) such that for all \(x\) satisfying \(0 < |x-2| < \delta\), \(|f(x)-L| < \varepsilon\) holds.
02

Express the Condition

Express the inequality \(|f(x) - L| < \varepsilon\). Substitute the given values: \(|mx - 2m| < 0.03\). This simplifies to \(m|x - 2| < 0.03\).
03

Solve for Boundaries of x

To find the interval around \(c = 2\), solve the inequality \(|x - 2| < \frac{0.03}{m}\). This tells us that \(x\) must lie within \(2 - \frac{0.03}{m} < x < 2 + \frac{0.03}{m}\).
04

Determine \\delta

From the inequality \(|x - 2| < \frac{0.03}{m}\), we need to ensure this condition holds. Thus, choose \(\delta = \frac{0.03}{m}\) so that \(0 < |x - 2| < \delta\) implies \(|f(x) - L| < \varepsilon\).

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Key Concepts

These are the key concepts you need to understand to accurately answer the question.

Epsilon-Delta Definition
The epsilon-delta definition is a foundational concept in calculus used to rigorously define limits. It provides a precise way of showing how a function behaves as the input approaches a particular point. In this context, we are concerned with establishing that the function \( f(x) = mx \) gets arbitrarily close to a limit \( L = 2m \) as \( x \) becomes close to \( c = 2 \).Here's how it works:
  • The goal is to ensure the function is within an \( \varepsilon \) distance (often called "tolerance") from \( L \).
  • \( \delta \) is the maximum distance \( x \) is allowed to be from \( c \) to guarantee that \( |f(x) - L| < \varepsilon \).
By setting \( \delta = \frac{0.03}{m} \), we show that if \( x \) is within \( \delta \) of \( c \), then the function value stays within the desired \( \varepsilon \) range of \( L \).
Continuity
Continuity ensures that a function behaves predictably without any jumps or breaks within a particular interval. For linear functions like \( f(x) = mx \), which compose of straight lines through the origin, continuity means that there are no sudden changes in value for tiny changes in \( x \).In the epsilon-delta framework, a function \( f \) is continuous at a point \( c \) if, for every \( \varepsilon > 0 \), there exists a \( \delta > 0 \) so that whenever \( 0 < |x - c| < \delta \), it holds that \( |f(x) - f(c)| < \varepsilon \).For our exercise,
  • We prove continuity by showing that choosing \( \delta = \frac{0.03}{m} \) keeps \( f(x) = mx \) within \( 0.03 \) of its limit \( L = 2m \).
This makes \( f(x) \) not just continuous at \( x = 2 \), but over any open interval surrounding \( x = 2 \).
Linear Functions
Linear functions are among the simplest and most intuitive types of functions in mathematics. They have the form \( f(x) = mx + b \), where \( m \) is the slope and \( b \) is the y-intercept. In the provided exercise, the function \( f(x) = mx \) is a special type of linear function where the line passes through the origin (i.e., \( b = 0 \)).Key properties of linear functions include:
  • Constant Rate of Change: The slope \( m \) determines how steep the line is, and it remains consistent across the entire function.
  • Graph Representation: These functions graph as straight lines with no curvature.
  • Easy Predictability: For any change in \( x \), the change in \( f(x) \) is precisely \( m \cdot \) (change in \( x \)).
In solving the problem, understanding this linear nature helps in simplifying the inequality \( |mx - 2m| < 0.03 \) to \( m|x - 2| < 0.03 \).
Inequalities in Calculus
Inequalities are a powerful tool in calculus used to describe ranges and limits effectively. They play a crucial role in concepts like continuity, differentiability, and integration. In our context, inequalities help us confine the behavior of a function within specified bounds.Here's a breakdown of their use in solving the problem:
  • The inequality \( |mx - 2m| < 0.03 \) describes how close \( f(x) \) should be to the limit \( L = 2m \).
  • We manipulated this to \( |x - 2| < \frac{0.03}{m} \) to find an interval around \( x = 2 \) where the function behaves as desired.
  • This conversion from a strict inequality involving \( f(x) \) to one involving \( x \) allows us to determine the required \( \delta \).
By strategically solving inequalities, we've bound \( x \) within precise limits to preserve the close proximity (\( \varepsilon \)) of \( f(x) \) to \( L \), a central pursuit in calculus for validating accuracy and control over functions.

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