Derivatives of Inverse Trigonometric Functions and Their Applications in Mathematical Analysis

This article examines the derivatives of inverse trigonometric functions and presents the main differentiation formulas for arcsin, arccos, arctan, arccot, and other inverse trigonometric functions. It also includes clear examples showing how these derivatives are used in analytical and applied problems.

inverse trigonometric derivativesarcsin, arccos, arctandifferentiation

~2 min read · Updated Mar 9, 2026

Introduction to Derivatives of Inverse Trigonometric Functions

Inverse trigonometric functions such as arcsin, arccos, and arctan appear frequently in geometric, physical, and analytical problems.
To analyze these functions precisely, understanding their derivatives is essential.

1. Derivatives of Basic Inverse Trigonometric Functions

  • (arcsin(x))' = 1 / √(1 - x²)
  • (arccos(x))' = -1 / √(1 - x²)
  • (arctan(x))' = 1 / (1 + x²)
  • (arccot(x))' = -1 / (1 + x²)
  • (arcsec(x))' = 1 / (|x| √(x² - 1))
  • (arccsc(x))' = -1 / (|x| √(x² - 1))

Example:

(arcsin(3x))' = 3 / √(1 - 9x²)

2. Derivatives of Composite Inverse Trigonometric Functions

For functions such as arctan(ax + b) or arcsin(x²), the chain rule is applied.

Example:

(arctan(2x + 1))' = 2 / (1 + (2x + 1)²)
(arcsin(x²))' = (2x) / √(1 - x⁴)

3. Idea Behind Deriving These Formulas

For example, to derive the derivative of arcsin(x), set:

y = arcsin(x)  ⇒  sin(y) = x

Differentiating implicitly gives:

cos(y) y' = 1

Since:

cos(y) = √(1 - sin²(y)) = √(1 - x²)

We obtain:

y' = 1 / √(1 - x²)

4. Applications of Inverse Trigonometric Derivatives

  • Solving differential equations
  • Analyzing rotational and angular motion
  • Evaluating complex integrals
  • Modeling nonlinear physical phenomena

5. Combined Examples

Example 1:

(x arccos(x))' = arccos(x) - x / √(1 - x²)

Example 2:

(arctan(1/x))' = -1 / (x² + 1)

Conclusion

Derivatives of inverse trigonometric functions form an important part of differential calculus.
Knowing these formulas allows us to solve more advanced problems in geometry, physics, and mathematical analysis.
These derivatives are powerful tools for understanding the behavior of nonlinear functions.

Written & researched by Dr. Shahin Siami

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