Chapter 1: Problem 23
Find \(f^{\prime}(x)\) for \(f(x)=m x+b.\)
Short Answer
Expert verified
The derivative \(f^{\prime}(x)\) is \(m\).
Step by step solution
01
Understand the Function
The given function is a linear function: \[ f(x) = m x + b \]. Here, \(m\) is the slope and \(b\) is the y-intercept.
02
Apply the Power Rule
We use the power rule for differentiation, which states that \(\frac{d}{dx} ( x^n ) = n x^{n-1} \). For a linear term \(m x\), the exponent \(n\) is 1.
03
Differentiate Each Term
Differentiate the term \(m x\). Applying the power rule, we get: \[ \frac{d}{dx} ( m x ) = m \frac{d}{dx} ( x ) = m \].The constant \(b\) differentiates to 0: \[ \frac{d}{dx} ( b ) = 0 \]
04
Combine the Results
Combine the derivatives of each term: \[ f^{\prime}(x) = m + 0 = m \]
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Key Concepts
These are the key concepts you need to understand to accurately answer the question.
Power Rule
The power rule is a fundamental technique used in calculus for differentiating functions of the form \[ x^n\]. The rule states that if you have a function \[ x^n\], the derivative is \[ n x^{n-1}\]. This simply means you multiply by the exponent and then subtract one from the exponent.
For example:
In our specific problem with the function \[ f(x) = mx + b\], the term \[ mx\] can be seen as \[ m \times x^1\]. Using the power rule here, where the exponent \[ n\] is 1, we get \[ m \times 1 x^{1-1} = m \times x^0 = m\]. This rule makes it easy to differentiate polynomials quickly and accurately.
For example:
- For \[ x^2\], the derivative is \[ 2x^{2-1} = 2x\].
- For \[ x^3\], the derivative is \[ 3x^{3-1} = 3x^2\].
In our specific problem with the function \[ f(x) = mx + b\], the term \[ mx\] can be seen as \[ m \times x^1\]. Using the power rule here, where the exponent \[ n\] is 1, we get \[ m \times 1 x^{1-1} = m \times x^0 = m\]. This rule makes it easy to differentiate polynomials quickly and accurately.
Slope
The slope is a measure of how steep a line is. For the function \[ f(x) = mx + b\], the slope is represented by the constant \[ m\]. The slope tells us the rate at which \[ y\] changes for a unit increase in \[ x\].
The slope is essentially the derivative of the function when the function is linear. So, for our function \[ f(x) = mx + b\], the derivative \[ f^{\text{\prime}} (x) = m\] gives us the slope directly.
- If the slope \[ m\] is positive, the function \[ f(x)\] increases as \[ x\] increases.
- If the slope \[ m\] is negative, \[ f(x)\] decreases as \[ x\] increases.
- If the slope \[ m\] is zero, the function is a horizontal line, indicating no change in \[ y\] with changes in \[ x\].
The slope is essentially the derivative of the function when the function is linear. So, for our function \[ f(x) = mx + b\], the derivative \[ f^{\text{\prime}} (x) = m\] gives us the slope directly.
Derivative
The derivative of a function represents the rate at which the function's value changes as its input changes. It is a concept from calculus essential for understanding how functions behave.
For the linear function \[ f(x) = mx + b\], finding the derivative is straightforward due to its simple form. The derivative, denoted as \[ f^{\text{\prime}} (x)\], tells us the instantaneous rate of change of \[ f(x)\] with respect to \[ x\].
In our specific example, differentiating \[ mx + b\] step-by-step:
Combining both results we get: \[ f^{\text{\prime}} (x) = m + 0 = m\]. This derivative confirms that regardless of the constant term \[ b\], the rate of change (or slope) of the linear function is \[ m\].
For the linear function \[ f(x) = mx + b\], finding the derivative is straightforward due to its simple form. The derivative, denoted as \[ f^{\text{\prime}} (x)\], tells us the instantaneous rate of change of \[ f(x)\] with respect to \[ x\].
In our specific example, differentiating \[ mx + b\] step-by-step:
- For \[ mx\], applying the power rule, gives us \[ m\]
- For the constant term \[ b\], the derivative is always zero, \[ \frac{d}{dx} ( b ) = 0\]
Combining both results we get: \[ f^{\text{\prime}} (x) = m + 0 = m\]. This derivative confirms that regardless of the constant term \[ b\], the rate of change (or slope) of the linear function is \[ m\].