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find the derivative of the function. $$ y=\left(\frac{1}{4}\right)^{x} $$

Short Answer

Expert verified
The derivative of the function \(y=\left(\frac{1}{4}\right)^{x}\) is \(y'=\left(\frac{1}{4}\right)^{x} \cdot ln(\frac{1}{4})\).

Step by step solution

01

Rewrite the Function

Rewrite the function using the property of exponents to be in the form of a base of 'e'. So, \(y=\left(\frac{1}{4}\right)^{x}\) can be rewritten as \(y=e^{ln(\frac{1}{4})\cdot x}\)
02

Apply Derivative Rule for Exponential Function

Use the derivative rule \(d/dx [e^u] = e^u \cdot du/dx\). Here, \(u=ln(\frac{1}{4})\cdot x\). The derivative of \(u\) with respect to \(x\) is \(du/dx=ln(\frac{1}{4})\). So the derivative of the function will be \(y'=e^{ln(\frac{1}{4})\cdot x} \cdot ln(\frac{1}{4})\)
03

Simplify the Result

The term \(e^{ln(\frac{1}{4})\cdot x}\) can be written in the original form \(\left(\frac{1}{4}\right)^{x}\), so the final derivative of the function is \(y'=\left(\frac{1}{4}\right)^{x} \cdot ln(\frac{1}{4})\).

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Key Concepts

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

Exponential Functions
Exponential functions are a crucial type of mathematical function where the variable is an exponent. Generally, these functions take the form \( y = a^x \), where \( x \) is the variable, and \( a \) is a positive constant. They appear often in real-world scenarios, such as calculating compound interest, population growth, or chemical reactions.
A unique characteristic of exponential functions is their rapid growth or decay. When \( a > 1 \), the function exhibits exponential growth, while \( 0 < a < 1 \) produces exponential decay.
  • Exponential growth means the function's value increases quickly as \( x \) increases.
  • Exponential decay signifies that the function's value decreases as \( x \) increases.
Understanding exponential functions involves recognizing their behavior and being able to rewrite them using different bases, such as the natural base, \( e \). This can aid in the differentiation process, as \( e \) has special properties that simplify calculations.
Derivative Rules
Derivative rules provide tools for finding the rate at which a function changes, known as its derivative. To differentiate an exponential function like \( y = \left(\frac{1}{4}\right)^x \), these rules come in handy.
A primary rule is the power rule, applicable when the function is of the form \( y = x^n \). However, for exponential functions, another vital rule is the exponential differentiation rule:
  • If \( y = e^u \), then the derivative is \( y' = e^u \cdot \frac{du}{dx} \).
This rule is particularly useful because it relies on knowing how to differentiate \( u \) concerning \( x \). In the given solution, the expression \( \ln\left(\frac{1}{4}\right) \cdot x \) acts as \( u \). The derivative of this with respect to \( x \) is simply \( \ln\left(\frac{1}{4}\right) \).
These rules simplify differentiating complex functions, allowing to find derivatives efficiently and accurately.
Function Differentiation
Function differentiation is the process of finding the derivative, providing insight into how a function changes. For exponential functions, transforming them into a base involving \( e \) often simplifies this task.
The method involves:
  • First, rewriting the original function, if necessary, to a form that is more easily differentiable.
  • Then, applying the relevant derivative rules step by step.
For instance, the function \( y = \left(\frac{1}{4}\right)^x \) is rewritten using the natural base: \( y = e^{\ln\left(\frac{1}{4}\right) \cdot x} \). Once in this form, the differentiation becomes straightforward with the exponential differentiation rule.
The step-by-step approach involves taking the derivative of the \( u \) term inside the exponent, multiplying by the original function format. This ensures accurate results and aids in understanding how changes in \( x \) influence the function's outcome.
Function differentiation is essential for countless applications, acting as a bridge to further learning in calculus and other related fields.

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