Partial Differentiation Calculator
Free partial differentiation calculator for multivariable functions. Calculate partial derivatives, second order partial derivatives, and multivariable calculus with step-by-step solutions. Our multivariable derivative calculator handles polynomial, trigonometric, and exponential functions while applying differentiation rules.
Last updated: December 15, 2024
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Use ^ for exponents, * for multiplication, sin, cos, ln, etc.
Partial Derivative Result
Original Function:
Partial Derivative:
First order partial derivative with respect to x
Applicable Rules:
- Power Rule: ∂/∂x(x^n) = n*x^(n-1)
Solution Steps:
- Step 1: Identify the function f(x,y) = x^2 + y^2
- Step 2: Apply power rule to differentiate with respect to x
- Step 3: ∂/∂x(x²) = 2x
- Step 4: Other variables are treated as constants
Quick Example Result
For function f(x,y) = x² + y², the partial derivative with respect to x:
∂f/∂x = 2x
How This Calculator Works
Our partial derivative calculator uses systematic differentiation rules to find partial derivatives of multivariable functions. The process involves treating all variables except the one being differentiated as constants, then applying standard differentiation rules to calculate the rate of change in one direction.
Partial Derivative Notation
First Order:
∂f/∂x, ∂f/∂y, ∂f/∂zSecond Order:
∂²f/∂x², ∂²f/∂x∂y, ∂²f/∂y²Mixed Derivatives:
∂²f/∂x∂y = ∂²f/∂y∂x (when continuous)Shows how the function changes in different variable directions
Multivariable Derivative Calculator & Partial Differentiation Features
Our partial differentiation calculator provides comprehensive solutions for multivariable calculus problems. Whether you need to calculate partial derivative, find second order partial derivatives, or solve multivariable chain rule problems, our differential calculator handles all types of partial derivative calculations with detailed steps.
Calculator Types Supported
Mathematical Foundation
Partial derivatives are fundamental to multivariable calculus and are defined as the limit of the difference quotient as one variable approaches zero while others remain fixed. This concept extends single-variable differentiation to functions of multiple variables, enabling analysis of how functions change in multidimensional spaces.
- Power Rule: ∂/∂x(x^n) = n·x^(n-1) (treating other variables as constants)
- Product Rule: ∂/∂x(uv) = u(∂v/∂x) + v(∂u/∂x) where u,v are functions of x
- Chain Rule: ∂/∂x(f(g(x,y))) = f'(g)·(∂g/∂x)
- Constant Rule: ∂/∂x(c) = 0 where c doesn't depend on x
Alternative to Wolfram Partial Derivative Calculator
Looking for a free alternative to Wolfram's derivative calculator? Our partial derivative online calculator provides the same powerful functionality as Wolfram's differentiation calculator, but completely free and with enhanced educational features. Whether you need partial derivative mathway alternatives or online derivative calculator wolfram replacements, our tool delivers comprehensive solutions.
Why Choose Our Calculator Over Wolfram?
Sources & References
- Stewart Multivariable Calculus - Partial Derivatives ChapterComprehensive coverage of multivariable differentiation
- MIT OpenCourseWare - Multivariable Calculus Course MaterialsDetailed examples and applications of partial derivatives
- Wolfram MathWorld - Partial Derivative ReferenceMathematical encyclopedia with examples and proofs
Need help with other calculus calculations? Check out our derivative calculator and area between curves calculator.
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Partial Derivative Calculator Input:
- Function: f(x,y) = x² + y²
- Variable: x (calculate partial derivative with respect to x)
- Order: First order partial derivative
- Type: Multivariable derivative calculator
How to Calculate Partial Derivative Steps:
- Identify the function: f(x,y) = x² + y²
- Differentiate x² with respect to x: 2x (power rule)
- Treat y² as constant: derivative is 0
- Apply sum rule: ∂f/∂x = 2x + 0 = 2x
- Result: ∂f/∂x = 2x
Partial Derivative Result: ∂f/∂x = 2x
This demonstrates how our partial derivative calculator with steps works - showing the rate of change with respect to x while keeping y constant. Perfect for multivariable calculus problems!
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