Implicit Differentiation
Summary
This chapter introduces implicit differentiation, a technique for finding derivatives when y cannot be easily solved for as an explicit function of x. Students will learn to differentiate both sides of an equation with respect to x, treating y as an implicit function, and solve for dy/dx. The chapter also covers finding second derivatives implicitly and introduces the inverse function theorem. After completing this chapter, students will be able to find tangent lines to curves defined by implicit equations.
Concepts Covered
This chapter covers the following 12 concepts from the learning graph:
- Implicit Function
- Implicit Equation
- Implicit Differentiation
- dy dx Implicitly
- Treating y as Function
- Implicit Chain Rule
- Solving for dy dx
- Second Deriv Implicit
- Tangent Line Implicit
- Inverse Function Thm
- Derivative of Inverse
- Inverse Deriv Formula
Prerequisites
This chapter builds on concepts from:
Introduction: When y Plays Hide and Seek
So far, we've differentiated functions where \(y\) is explicitly written in terms of \(x\)—formulas like \(y = x^2\), \(y = \sin(x)\), or \(y = e^{2x}\). These are called explicit functions because \(y\) is isolated on one side, explicitly telling us its value for any \(x\).
But what happens when \(y\) refuses to be isolated? Consider the equation of a circle:
Try solving for \(y\), and you get \(y = \pm\sqrt{25 - x^2}\)—that pesky \(\pm\) means this isn't even a function in the traditional sense! Yet the circle clearly has tangent lines at every point. How do we find their slopes?
Delta Moment
"Sometimes I can't see the whole path ahead, but I can still feel the slope under my wheels! Even when the equation looks tangled, I know there's a tilt at every point."
This is where implicit differentiation comes to the rescue. It's a powerful technique that lets us find \(\frac{dy}{dx}\) even when \(y\) can't be (or doesn't need to be) explicitly solved for in terms of \(x\).
Implicit Functions and Equations
Let's establish some vocabulary before diving in.
Explicit vs. Implicit Functions
An explicit function is one where \(y\) is expressed directly in terms of \(x\):
| Explicit Function | Form |
|---|---|
| \(y = x^3 - 4x\) | \(y\) alone on the left |
| \(y = \ln(x + 1)\) | Direct formula for \(y\) |
| \(f(x) = e^{2x}\sin(x)\) | Function notation |
An implicit function is defined by an equation relating \(x\) and \(y\), where \(y\) isn't isolated:
| Implicit Equation | Why It's Implicit |
|---|---|
| \(x^2 + y^2 = 25\) | Can't solve cleanly for \(y\) |
| \(x^3 + y^3 = 6xy\) | \(y\) appears in multiple terms |
| \(\sin(xy) = x + y\) | \(y\) is inside a function |
| \(e^y + y = x\) | Can't isolate \(y\) algebraically |
The term "implicit" means the relationship between \(x\) and \(y\) is implied by the equation rather than stated directly.
Why Implicit Equations Matter
Implicit equations describe many important curves:
- Circles: \(x^2 + y^2 = r^2\)
- Ellipses: \(\frac{x^2}{a^2} + \frac{y^2}{b^2} = 1\)
- Hyperbolas: \(\frac{x^2}{a^2} - \frac{y^2}{b^2} = 1\)
- Cardioids, lemniscates, and other exotic curves
These shapes appear everywhere—in physics, engineering, economics, and nature. We need to analyze them without requiring an explicit formula for \(y\).
Diagram: Implicit Curve Gallery
Implicit Curve Gallery MicroSim
Type: microsim
Purpose: Display various curves defined by implicit equations and allow students to explore how tangent lines behave at different points.
Learning Objective: Students will recognize that implicit equations define curves where tangent lines exist even when y cannot be explicitly solved for x (Bloom Level 2: Understand)
Bloom Taxonomy Verb: identify, describe, recognize
Visual elements:
- Coordinate grid with multiple implicit curves displayed
- Curves include: circle, ellipse, hyperbola, folium of Descartes, lemniscate
- Movable point that follows the selected curve
- Tangent line displayed at the current point
- Equation of the curve shown in the corner
- dy/dx value displayed at current point
Interactive controls:
- Dropdown to select curve type
- Click/drag to move point along curve
- Checkbox to show/hide tangent line
- Slider to adjust curve parameters (radius, eccentricity, etc.)
- "Random Point" button
Behavior:
- Point snaps to curve when dragged
- Tangent line updates in real-time
- dy/dx value updates as point moves
- Shows that tangent exists even at points where y isn't a function of x
Instructional Rationale: Seeing tangent lines on implicit curves builds intuition that derivatives exist even without explicit formulas.
Implementation: p5.js with implicit curve plotting using marching squares algorithm
The Big Idea: Treating y as a Function
Here's the key insight behind implicit differentiation:
The Core Principle
Even if we can't solve for \(y\) explicitly, we assume \(y\) is some function of \(x\) and differentiate accordingly.
When we write \(y\), we're thinking of it as \(y(x)\)—a function whose formula we might not know, but which still follows the rules of calculus.
This means whenever we differentiate a term containing \(y\), we must use the chain rule. The variable \(y\) is the "inside function," and \(x\) is the ultimate variable.
Notice the pattern: differentiate with respect to \(y\), then multiply by \(\frac{dy}{dx}\).
The Implicit Chain Rule
This is the chain rule applied when \(y\) is the inside function.
Implicit Chain Rule
If \(y = y(x)\) is a function of \(x\), then for any expression \(f(y)\):
Let's build a reference table:
| Expression | Derivative with Respect to \(x\) |
|---|---|
| \(y\) | \(\frac{dy}{dx}\) |
| \(y^n\) | \(ny^{n-1} \cdot \frac{dy}{dx}\) |
| \(e^y\) | \(e^y \cdot \frac{dy}{dx}\) |
| \(\ln(y)\) | \(\frac{1}{y} \cdot \frac{dy}{dx}\) |
| \(\sin(y)\) | \(\cos(y) \cdot \frac{dy}{dx}\) |
| \(\cos(y)\) | \(-\sin(y) \cdot \frac{dy}{dx}\) |
But what about mixed terms like \(xy\)? Use the product rule:
Implicit Differentiation: The Method
Here's the step-by-step process:
Step 1: Start with the implicit equation.
Step 2: Differentiate both sides with respect to \(x\).
- Treat \(y\) as a function of \(x\)
- Use the chain rule on every \(y\) term (multiply by \(\frac{dy}{dx}\))
- Use product rule for terms like \(xy\)
Step 3: Collect all terms containing \(\frac{dy}{dx}\) on one side.
Step 4: Factor out \(\frac{dy}{dx}\).
Step 5: Solve for \(\frac{dy}{dx}\).
Example 1: The Circle
Find \(\frac{dy}{dx}\) for \(x^2 + y^2 = 25\).
Step 1: Start with \(x^2 + y^2 = 25\)
Step 2: Differentiate both sides with respect to \(x\):
Step 3-5: Solve for \(\frac{dy}{dx}\):
That's it! The derivative is \(\frac{dy}{dx} = -\frac{x}{y}\).
Notice this answer contains both \(x\) AND \(y\). This is typical for implicit differentiation—and it makes sense because the slope depends on where you are on the curve.
Why the Answer Contains Both Variables
At the point \((3, 4)\) on the circle, the slope is \(-\frac{3}{4}\).
At the point \((3, -4)\) (also on the circle), the slope is \(-\frac{3}{-4} = \frac{3}{4}\).
Same \(x\), different \(y\), different slopes. The formula \(-\frac{x}{y}\) captures this.
Example 2: A Cubic Curve
Find \(\frac{dy}{dx}\) for \(x^3 + y^3 = 6xy\).
Step 2: Differentiate both sides:
(On the right, we used the product rule on \(6xy\))
Step 3: Expand and collect \(\frac{dy}{dx}\) terms:
Step 4: Factor:
Step 5: Solve:
Example 3: Exponential and Logarithmic
Find \(\frac{dy}{dx}\) for \(e^y + y = x\).
Step 2: Differentiate:
Step 4: Factor:
Step 5: Solve:
Diagram: Implicit Differentiation Step-by-Step
Implicit Differentiation Step-by-Step MicroSim
Type: microsim
Purpose: Walk students through the implicit differentiation process with visual highlighting of each step.
Learning Objective: Students will apply implicit differentiation systematically to find dy/dx (Bloom Level 3: Apply)
Bloom Taxonomy Verb: apply, execute, implement
Visual elements:
- Original equation displayed at top
- Step-by-step work area showing:
- Differentiate each term (highlight y terms in color)
- Show chain rule application on each y term
- Collect dy/dx terms (move to one side)
- Factor out dy/dx
- Final answer
- Color coding: x terms in blue, y terms in green, dy/dx in red
- Animated transitions between steps
Interactive controls:
- "Next Step" button to advance
- "Show All Steps" button
- Preset equations to choose from
- Input field for custom equation
- "Reset" button
Preset equations:
- \(x^2 + y^2 = 25\)
- \(x^3 + y^3 = 6xy\)
- \(xy = 1\)
- \(\sin(x + y) = y\)
- \(e^{xy} = x - y\)
Behavior:
- Each step highlights what's happening
- Chain rule applications are explicitly shown
- Algebraic manipulations animated
- Final answer boxed
Instructional Rationale: Explicit step-by-step visualization helps students internalize the procedure before practicing on their own.
Implementation: p5.js with text rendering and color highlighting
Solving for dy/dx: Algebraic Strategies
The "solving for \(\frac{dy}{dx}\)" step can get algebraically tricky. Here are patterns to watch for.
Pattern 1: dy/dx Appears Once
If \(\frac{dy}{dx}\) appears in only one term, just isolate it:
Example: From \(2x + 2y\frac{dy}{dx} = 0\)
Pattern 2: dy/dx Appears Multiple Times
Collect all \(\frac{dy}{dx}\) terms on one side, factor it out:
Example: From \(3y^2\frac{dy}{dx} - 6x\frac{dy}{dx} = 6y - 3x^2\)
Pattern 3: Nested Inside a Function
Sometimes \(\frac{dy}{dx}\) appears inside a more complex expression. Differentiate carefully:
Example: \(\sin(x + y) = y\)
Finding Tangent Lines to Implicit Curves
One of the most useful applications of implicit differentiation is finding tangent lines.
Tangent Line to Implicit Curve
To find the tangent line at a point \((a, b)\) on an implicit curve:
- Verify that \((a, b)\) satisfies the original equation
- Find \(\frac{dy}{dx}\) using implicit differentiation
- Evaluate \(\frac{dy}{dx}\) at \((a, b)\) to get the slope \(m\)
- Use point-slope form: \(y - b = m(x - a)\)
Example: Tangent to a Circle
Find the tangent line to \(x^2 + y^2 = 25\) at the point \((3, 4)\).
Step 1: Verify: \(3^2 + 4^2 = 9 + 16 = 25\) ✓
Step 2: We found \(\frac{dy}{dx} = -\frac{x}{y}\)
Step 3: At \((3, 4)\): \(m = -\frac{3}{4}\)
Step 4: Tangent line: \(y - 4 = -\frac{3}{4}(x - 3)\)
Simplifying: \(y = -\frac{3}{4}x + \frac{25}{4}\)
Or in standard form: \(3x + 4y = 25\)
Delta Moment
"I'm rolling along the circle, and at the point (3, 4), my tilt is exactly -3/4. Downhill to the right! The tangent line shows exactly which direction I'm headed at that instant."
Example: Tangent to a Folium
The folium of Descartes is defined by \(x^3 + y^3 = 6xy\). Find the tangent line at \((3, 3)\).
Step 1: Verify: \(27 + 27 = 54\) and \(6(3)(3) = 54\) ✓
Step 2: We found \(\frac{dy}{dx} = \frac{2y - x^2}{y^2 - 2x}\)
Step 3: At \((3, 3)\):
Step 4: Tangent line: \(y - 3 = -1(x - 3)\), so \(y = -x + 6\)
Diagram: Tangent Line Explorer
Implicit Tangent Line Explorer MicroSim
Type: microsim
Purpose: Allow students to explore tangent lines at various points on implicit curves interactively.
Learning Objective: Students will find tangent lines to curves defined by implicit equations (Bloom Level 3: Apply)
Bloom Taxonomy Verb: apply, calculate, demonstrate
Visual elements:
- Coordinate grid with implicit curve displayed
- Draggable point on the curve
- Tangent line drawn at the point
- Display panel showing:
- Current point coordinates \((x, y)\)
- Value of \(\frac{dy}{dx}\) at the point
- Equation of the tangent line
- Step-by-step calculation (collapsible)
Interactive controls:
- Dropdown to select curve type
- Click/drag point along curve
- Input fields for specific coordinates
- "Random Point" button
- Toggle to show/hide normal line
- Parameter sliders for adjustable curves
Preset curves:
- Circle: \(x^2 + y^2 = r^2\)
- Ellipse: \(\frac{x^2}{a^2} + \frac{y^2}{b^2} = 1\)
- Hyperbola
- Folium of Descartes
Behavior:
- Point stays on curve when dragged
- Tangent line updates in real-time
- All calculations update live
- Shows vertical tangent warning when dy/dx undefined
Instructional Rationale: Interactive exploration builds understanding of how tangent lines behave at different points, including edge cases.
Implementation: p5.js with real-time implicit curve evaluation
Second Derivatives Implicitly
Sometimes we need the second derivative \(\frac{d^2y}{dx^2}\) of an implicit function. The process is:
- Find \(\frac{dy}{dx}\) using implicit differentiation
- Differentiate \(\frac{dy}{dx}\) with respect to \(x\) (implicitly again!)
- Substitute the expression for \(\frac{dy}{dx}\) to eliminate it from the answer
Example: Second Derivative of a Circle
For \(x^2 + y^2 = 25\), we found \(\frac{dy}{dx} = -\frac{x}{y}\).
Now differentiate \(\frac{dy}{dx}\) with respect to \(x\):
Use the quotient rule:
Now substitute \(\frac{dy}{dx} = -\frac{x}{y}\):
Since we're on the circle where \(x^2 + y^2 = 25\):
This tells us about the concavity of the circle! When \(y > 0\) (top half), the curve is concave down. When \(y < 0\) (bottom half), concave up.
Why Second Derivatives Matter
The second derivative tells us about concavity and acceleration. For the circle, this confirms what we see geometrically—the top half curves downward, the bottom half curves upward.
The Inverse Function Theorem
Implicit differentiation is closely related to finding derivatives of inverse functions. Here's the connection.
Motivation: What's the Derivative of an Inverse?
If \(f\) and \(g\) are inverse functions, then \(f(g(x)) = x\) and \(g(f(x)) = x\).
What's the relationship between \(f'\) and \(g'\)?
Let's use implicit differentiation on \(f(g(x)) = x\):
This is the Inverse Function Theorem (for derivatives).
Inverse Function Theorem
If \(f\) is a differentiable function with inverse \(f^{-1}\), and if \(f'(f^{-1}(x)) \neq 0\), then:
Or equivalently, if \(y = f^{-1}(x)\), then \(x = f(y)\), and:
The formula says: The derivative of the inverse is the reciprocal of the derivative of the original function.
Understanding the Formula Geometrically
Think about the graphs of \(f\) and \(f^{-1}\). They're reflections of each other across the line \(y = x\).
If the graph of \(f\) is steep (large slope), then its reflection \(f^{-1}\) is shallow (small slope). If \(f\) has slope 3, then \(f^{-1}\) has slope \(\frac{1}{3}\) at the corresponding point.
This reciprocal relationship is exactly what the theorem states.
Diagram: Inverse Function Derivative Visualizer
Inverse Function Derivative Visualizer MicroSim
Type: microsim
Purpose: Show geometrically why the derivative of an inverse function is the reciprocal of the original derivative.
Learning Objective: Students will explain the relationship between the derivative of a function and the derivative of its inverse (Bloom Level 2: Understand)
Bloom Taxonomy Verb: explain, interpret, illustrate
Visual elements:
- Split view or overlaid graphs
- Left/blue: Graph of \(f(x)\) with a point and tangent line
- Right/orange: Graph of \(f^{-1}(x)\) with corresponding point and tangent line
- Line \(y = x\) shown as reference
- Slope values displayed for both tangent lines
- Shows that slopes are reciprocals
Interactive controls:
- Function selector (several invertible functions)
- Draggable point on \(f\)
- Corresponding point on \(f^{-1}\) moves automatically
- Toggle to show/hide line \(y = x\)
- Animation mode to sweep point along curve
Functions available:
- \(f(x) = x^2\) (restricted to \(x \geq 0\)), inverse \(\sqrt{x}\)
- \(f(x) = x^3\), inverse \(\sqrt[3]{x}\)
- \(f(x) = e^x\), inverse \(\ln(x)\)
- \(f(x) = \sin(x)\) (restricted), inverse \(\arcsin(x)\)
Display shows:
- At point \((a, b)\) on \(f\): slope = \(f'(a)\)
- At point \((b, a)\) on \(f^{-1}\): slope = \(\frac{1}{f'(a)}\)
- Verification: product of slopes = 1
Instructional Rationale: Geometric visualization makes the reciprocal relationship intuitive and memorable.
Implementation: p5.js with dual graph display
Derivatives of Inverse Functions: The Formula
Let's derive a more explicit formula. If \(y = f^{-1}(x)\), then \(f(y) = x\).
Differentiate implicitly:
Since \(y = f^{-1}(x)\):
This is the Inverse Derivative Formula.
Example 1: Derivative of Square Root
Let \(f(x) = x^2\) (for \(x \geq 0\)), so \(f^{-1}(x) = \sqrt{x}\).
Using the formula:
where we used \(f'(x) = 2x\) and \(f^{-1}(x) = \sqrt{x}\).
This matches what we know: \(\frac{d}{dx}[\sqrt{x}] = \frac{1}{2\sqrt{x}}\) ✓
Example 2: Derivative of Natural Log
Let \(f(x) = e^x\), so \(f^{-1}(x) = \ln(x)\).
This also matches our known result! ✓
Example 3: A Specific Inverse
If \(f(x) = x^3 + x\), and we want to find \((f^{-1})'(2)\).
We can't find \(f^{-1}\) explicitly, but we can find its derivative at \(x = 2\).
First, we need to find \(a\) such that \(f(a) = 2\), i.e., \(a^3 + a = 2\).
By inspection, \(a = 1\) works: \(1 + 1 = 2\) ✓
Now use the formula:
Since \(f'(x) = 3x^2 + 1\), we have \(f'(1) = 3 + 1 = 4\).
Therefore: \((f^{-1})'(2) = \frac{1}{4}\)
Strategy for \((f^{-1})'(b)\)
To find \((f^{-1})'(b)\):
- Find \(a\) such that \(f(a) = b\)
- Calculate \(f'(a)\)
- The answer is \((f^{-1})'(b) = \frac{1}{f'(a)}\)
Application: Derivatives of Inverse Trig Functions
The inverse function theorem gives us a systematic way to find derivatives of inverse trigonometric functions.
Derivative of Arcsin
Let \(y = \arcsin(x)\), so \(\sin(y) = x\) where \(-\frac{\pi}{2} \leq y \leq \frac{\pi}{2}\).
Differentiate implicitly:
Now we need \(\cos(y)\) in terms of \(x\). Since \(\sin(y) = x\) and \(y\) is in \([-\frac{\pi}{2}, \frac{\pi}{2}]\) (where cosine is non-negative):
Therefore:
Derivative of Arctan
Let \(y = \arctan(x)\), so \(\tan(y) = x\) where \(-\frac{\pi}{2} < y < \frac{\pi}{2}\).
Differentiate implicitly:
Using the identity \(\sec^2(y) = 1 + \tan^2(y) = 1 + x^2\):
Therefore:
Summary: Inverse Trig Derivatives
| Function | Derivative |
|---|---|
| \(\arcsin(x)\) | \(\frac{1}{\sqrt{1-x^2}}\) |
| \(\arccos(x)\) | \(-\frac{1}{\sqrt{1-x^2}}\) |
| \(\arctan(x)\) | \(\frac{1}{1+x^2}\) |
| \(\text{arccot}(x)\) | \(-\frac{1}{1+x^2}\) |
| \(\text{arcsec}(x)\) | $\frac{1}{ |
| \(\text{arccsc}(x)\) | $-\frac{1}{ |
Delta's Pun Corner
"Why was the inverse function so confident? Because it knew its derivative was just the reciprocal of the original—no need to reinvent the wheel, just flip it!"
Common Mistakes to Avoid
When working with implicit differentiation, watch out for these pitfalls.
Mistake 1: Forgetting the chain rule on \(y\) terms
- Wrong: \(\frac{d}{dx}[y^2] = 2y\)
- Right: \(\frac{d}{dx}[y^2] = 2y\frac{dy}{dx}\)
Mistake 2: Forgetting the product rule on \(xy\) terms
- Wrong: \(\frac{d}{dx}[xy] = y\)
- Right: \(\frac{d}{dx}[xy] = y + x\frac{dy}{dx}\)
Mistake 3: Not substituting back when finding second derivatives
After finding \(\frac{d^2y}{dx^2}\), replace any remaining \(\frac{dy}{dx}\) with its expression.
Mistake 4: Getting confused about what to differentiate
Remember: you're always differentiating with respect to \(x\). The variable \(y\) is just shorthand for "some function of \(x\)."
Practice Problems
Problem 1: Find \(\frac{dy}{dx}\) for \(x^2 - xy + y^2 = 7\).
Differentiate: \(2x - (y + x\frac{dy}{dx}) + 2y\frac{dy}{dx} = 0\)
\(2x - y - x\frac{dy}{dx} + 2y\frac{dy}{dx} = 0\)
\(\frac{dy}{dx}(2y - x) = y - 2x\)
Problem 2: Find \(\frac{dy}{dx}\) for \(\sin(xy) = x\).
Differentiate: \(\cos(xy) \cdot (y + x\frac{dy}{dx}) = 1\)
\(y\cos(xy) + x\cos(xy)\frac{dy}{dx} = 1\)
\(\frac{dy}{dx} = \frac{1 - y\cos(xy)}{x\cos(xy)}\)
Problem 3: Find the tangent line to \(x^2 + xy + y^2 = 3\) at \((1, 1)\).
First verify: \(1 + 1 + 1 = 3\) ✓
Differentiate: \(2x + y + x\frac{dy}{dx} + 2y\frac{dy}{dx} = 0\)
At \((1, 1)\): \(2 + 1 + \frac{dy}{dx} + 2\frac{dy}{dx} = 0\)
\(3\frac{dy}{dx} = -3\), so \(\frac{dy}{dx} = -1\)
Tangent line: \(y - 1 = -1(x - 1)\), so \(y = -x + 2\)
Problem 4: Find \((f^{-1})'(3)\) if \(f(x) = x^3 + 2x\).
Find \(a\) where \(f(a) = 3\): \(a^3 + 2a = 3\). By inspection, \(a = 1\).
\(f'(x) = 3x^2 + 2\), so \(f'(1) = 5\).
\((f^{-1})'(3) = \frac{1}{f'(1)} = \frac{1}{5}\)
Summary: Implicit Differentiation Toolkit
The Process
- Differentiate both sides with respect to \(x\)
- Apply the chain rule to all \(y\) terms (multiply by \(\frac{dy}{dx}\))
- Collect all \(\frac{dy}{dx}\) terms on one side
- Factor out \(\frac{dy}{dx}\)
- Solve for \(\frac{dy}{dx}\)
Key Formulas
| Concept | Formula |
|---|---|
| Implicit Chain Rule | \(\frac{d}{dx}[f(y)] = f'(y) \cdot \frac{dy}{dx}\) |
| Product with \(y\) | \(\frac{d}{dx}[xy] = y + x\frac{dy}{dx}\) |
| Inverse Derivative | \((f^{-1})'(x) = \frac{1}{f'(f^{-1}(x))}\) |
| Reciprocal Form | \(\frac{dy}{dx} = \frac{1}{\frac{dx}{dy}}\) |
When to Use Implicit Differentiation
- Equation can't be easily solved for \(y\)
- Finding tangent lines to circles, ellipses, and other implicit curves
- Deriving derivatives of inverse functions
- When the explicit formula for \(y\) is messy
Key Takeaways
-
An implicit function is defined by an equation relating \(x\) and \(y\) without isolating \(y\)
-
Implicit differentiation treats \(y\) as a function of \(x\) and uses the chain rule on every \(y\) term
-
The answer \(\frac{dy}{dx}\) typically contains both \(x\) and \(y\)—you need a specific point to get a numerical slope
-
Tangent lines to implicit curves: find \(\frac{dy}{dx}\), evaluate at the point, use point-slope form
-
Second derivatives require differentiating \(\frac{dy}{dx}\) implicitly and substituting
-
The Inverse Function Theorem says \((f^{-1})'(x) = \frac{1}{f'(f^{-1}(x))}\)—the derivative of the inverse is the reciprocal
-
This theorem lets us derive formulas for inverse trig derivatives systematically
Check Your Understanding: Find \(\frac{dy}{dx}\) for \(e^{xy} = x + y\)
Differentiate both sides with respect to \(x\):
Expand:
Collect \(\frac{dy}{dx}\) terms:
Factor:
Solve:
Answer: \(\frac{dy}{dx} = \frac{1 - ye^{xy}}{xe^{xy} - 1}\)