/*! This file is auto-generated */ .wp-block-button__link{color:#fff;background-color:#32373c;border-radius:9999px;box-shadow:none;text-decoration:none;padding:calc(.667em + 2px) calc(1.333em + 2px);font-size:1.125em}.wp-block-file__button{background:#32373c;color:#fff;text-decoration:none} Problem 26 For each equation, find \(d y / ... [FREE SOLUTION] | 91Ó°ÊÓ

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For each equation, find \(d y / d x\) evaluated at the given values. $$ y^{2}+y+1=x \text { at } x=1, y=-1 $$

Short Answer

Expert verified
The value of \( \frac{dy}{dx} \) at \( x = 1, y = -1 \) is \(-1\).

Step by step solution

01

Understand the Problem

We need to find the derivative \( \frac{dy}{dx} \) of the implicit equation \( y^2 + y + 1 = x \) at the point \( x = 1, y = -1 \).
02

Differentiate the Equation Implicitly

Differentiate both sides of the equation \( y^2 + y + 1 = x \) with respect to \( x \). Using implicit differentiation, we get: \[ \frac{d}{dx}(y^2) + \frac{d}{dx}(y) + \frac{d}{dx}(1) = \frac{d}{dx}(x) \]Applying the chain rule, \[ 2y \frac{dy}{dx} + \frac{dy}{dx} + 0 = 1 \].
03

Solve for \( \frac{dy}{dx} \)

Rearrange the differentiated equation to solve for \( \frac{dy}{dx} \): \[ 2y \frac{dy}{dx} + \frac{dy}{dx} = 1 \]Factor out \( \frac{dy}{dx} \):\[ (2y + 1) \frac{dy}{dx} = 1 \]Thus, \[ \frac{dy}{dx} = \frac{1}{2y + 1} \].
04

Substitute the Given Values

Substitute the given values \( x = 1 \) and \( y = -1 \) into the expression for \( \frac{dy}{dx} \): \[ \frac{dy}{dx} = \frac{1}{2(-1) + 1} = \frac{1}{-2 + 1} = \frac{1}{-1} = -1 \].
05

Conclusion

The value of \( \frac{dy}{dx} \) evaluated at \( x = 1 \) and \( y = -1 \) is \(-1\).

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Key Concepts

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

Chain Rule
The Chain Rule is an essential tool in calculus for finding derivatives. It is especially useful when dealing with functions within functions, commonly called composite functions. In the context of implicit differentiation, the Chain Rule helps us differentiate terms with respect to a variable, even if that variable is found inside another function. For instance, when we differentiate the term \[ y^2 \]with respect to \[ x \],we apply the chain rule by considering \[ y \]as a function of \[ x \].This leads us to first differentiate the outer function, \[ y^2 \],to get \[ 2y \],and then multiply by the derivative of the inner function,\[ \frac{dy}{dx} \].This results in \[ 2y \frac{dy}{dx} \].
  • The outer function is squared, \[ y^2 \].
  • The inner function is \[ y \],as it changes with \[ x \].
Use the Chain Rule whenever you have terms involving powers of \[ y \]during differentiation with respect to \[ x \].
Implicit Equation
Implicit equations are equations where the dependent variable isn't isolated on one side. In simpler terms, both the dependent variable (often \[ y \])and the independent variable (often \[ x \])appear intertwined within the equation, such as in \[ y^2 + y + 1 = x \].These equations cannot be easily solved for one variable solely in terms of another. Because of this entwinement, finding their derivatives requires a different approach. While explicit equations allow us to solve directly for \[ y \],implicit equations utilize implicit differentiation to find \[ \frac{dy}{dx} \].When differentiating implicitly:
  • Differentiate each term with respect to \[ x \].
  • Constant terms differentiate to zero.
  • Terms involving \[ y \] require applying the Chain Rule.
Thus, implicit differentiation opens up a way to handle situations where solving directly for one variable is not feasible.
Derivative Evaluation
Derivative evaluation involves both calculating a derivative and then substituting specific values to find the slope of a curve at a particular point. After using implicit differentiation to find \[ \frac{dy}{dx} \],in the form \[ \frac{1}{2y + 1} \],we can substitute the given point values \[ x=1 \]and \[ y=-1 \]into this derivative.
  • Substitute \[ y = -1 \]into \[ 2y + 1 \].
  • Solve the expression: \[ 2(-1) + 1 = -1 \].
  • Therefore, \[ \frac{dy}{dx} = \frac{1}{-1} = -1 \].
The evaluation step helps us understand the instantaneous rate of change, or the slope of the tangent line, at the particular point \[ (x=1, y=-1) \].This skill of derivative evaluation is fundamental, especially in physics and engineering, where it helps gauge changes over short intervals.

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