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Tamil Nadu Class 12 Maths: Differentials and Partial Derivatives

Samacheer Kalvi Class 12 Maths Differentials and Partial Derivatives full guide - differentials and approximation, errors, partial derivatives, Euler's theorem on homogeneous functions, with worked examples.

Updated 6 June 20262 min read

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Overview

This chapter introduces differentials (for approximation and errors) and partial derivatives of functions of several variables, including Euler's theorem.

1. Differentials and Approximation

dy = f'(x) dx f(x + Δx) ≈ f(x) + f'(x)Δx Relative error = dy/y , Percentage error = (dy/y) × 100

2. Partial Derivatives

∂f/∂x : differentiate w.r.t. x, treat y as constant ∂f/∂y : differentiate w.r.t. y, treat x as constant Higher order: ∂²f/∂x², ∂²f/∂y², and mixed ∂²f/∂x∂y = ∂²f/∂y∂x

3. Euler's Theorem (homogeneous functions)

If f(x, y) is homogeneous of degree n, then:

x(∂f/∂x) + y(∂f/∂y) = n·f

Worked Examples

Example 1 — Approximation

Find √26 approximately using differentials.

f(x) = √x, x = 25, dx = 1, f'(x) = 1/(2√x) = 1/10 √26 ≈ √25 + (1/10)(1) = 5 + 0.1 = 5.1

Example 2 — Error estimation

The side of a cube is measured as 10 cm with error 0.1 cm. Find the approximate error in volume.

V = x³ → dV = 3x² dx = 3(100)(0.1) = 30 cm³

Example 3 — Partial derivatives

For f = x²y + 3xy², find ∂f/∂x and ∂f/∂y.

∂f/∂x = 2xy + 3y² ∂f/∂y = x² + 6xy

Example 4 — Euler's theorem

Verify Euler's theorem for f = x² + xy + y² (degree 2).

∂f/∂x = 2x + y , ∂f/∂y = x + 2y x(2x+y) + y(x+2y) = 2x² + xy + xy + 2y² = 2(x² + xy + y²) = 2f ✓

Common Mistakes

  • Forgetting dx in dy = f'(x)dx.
  • Not holding the other variable constant in partial differentiation.
  • Misjudging the degree of homogeneity in Euler's theorem.
  • Confusing absolute error (dy) with percentage error.

Exam Tips & Revision Checklist

  • Use a nearby exact value (25, 64, …) for differential approximations.
  • ∂/∂x treats y as a number; differentiate as usual.
  • Practised: approximation, error in volume, partial derivatives, Euler's theorem.

Frequently Asked Questions

dy = f'(x) dx approximates the small change in y for a small change dx in x; it is used for approximations and error estimation.