Calculus • Core Flagship Pillar

Derivative Calculator

Differentiate algebraic, trigonometric, exponential, and logarithmic functions with step-by-step rule breakdowns, higher-order derivatives (f', f'', f'''), and live tangent line plotting at any point x₀.

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Last Updated: September 2026
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Verified Real Analysis Standard
Quick-Select Calculus Presets Standard Derivatives

Enter Function f(x)

Tangent Line at x₀
y = -1x - 7
Slope m = f'(x₀): -1.00 Value f(x₀): -5.00
Function Curve f(x) & Tangent Line at x₀
Symbolic Derivative f'(x)
3x² - 8x + 5
Slope at Point x₀
f'(2) = 1.0000
d/dx

Step-by-Step Differentiation Derivation

Direct Answer & Overview
Verified Educational Guide

How to Differentiate a Function f(x)

To find the derivative f'(x), apply standard calculus rules: 1. Power Rule: d/dx[xⁿ] = n·xⁿ⁻¹. 2. Product Rule: (uv)' = u'v + uv'. 3. Quotient Rule: (u/v)' = (u'v − uv') / v². 4. Chain Rule: [f(g(x))]' = f'(g(x)) · g'(x). The derivative gives the exact slope of the tangent line y − f(x₀) = f'(x₀)(x − x₀) at point x₀.

Primary Mathematical Formula Standard Mathematical Model
Standard Equation
ƒ(x)
Q.E.D.
f′(x)=lim⁡h→0f(x+h)−f(x)h,ddx[xn]=nxn−1,(uv)′=u′v+uv′f'(x) = \lim_{h \to 0} \frac{f(x + h) - f(x)}{h}, \quad \frac{d}{dx}[x^n] = n x^{n-1}, \quad (uv)' = u'v + uv'
Evaluated with exact mathematical formulation • Rigorously verified
Exact Formula
Input Parameters
Required
1
Function expression f(x) with variable x
2
Desired derivative order (1st, 2nd, 3rd) and evaluation point x₀
Expected Outputs
Calculated
Symbolic derivative expression f'(x)
Numerical slope at x₀, tangent line equation, and interactive 2D function curve
Worked Numerical Example
Instant Verification
f(x) = x³ − 4x² + 5x − 7 evaluated at x₀ = 2
→ f'(x) = 3x² − 8x + 5; at x=2: f'(2) = 3(4) − 8(2) + 5 = 1
Derivative f'(x) = 3x² − 8x + 5 | Slope f'(2) = 1 | Tangent: y = x − 7

The Limit Definition of the Derivative

The derivative represents the instantaneous rate of change of a continuous function $f(x)$. Developed independently by Isaac Newton and Gottfried Wilhelm Leibniz in the late 17th century:

f'(x) = lim [h → 0] (f(x + h) − f(x)) / h

Geometrically, as the secant interval h approaches 0, the secant line through (x, f(x)) and (x+h, f(x+h)) converges to the unique tangent line touching the curve at x.

The Fundamental Rules of Differential Calculus

Power Rule
d/dx [xⁿ] = n · xⁿ⁻¹

Applies to positive, negative, and fractional exponents (e.g. d/dx[x⁻²] = −2x⁻³).

Product Rule
(u · v)' = u'v + u · v'

Used when multiplying two variable functions (e.g. x² · sin(x)).

Quotient Rule
(u / v)' = (u'v − u · v') / v²

"Low D-High minus High D-Low, over the square of what's below."

Chain Rule
[f(g(x))]' = f'(g(x)) · g'(x)

Essential for composite expressions like (3x² + 5)⁴ or sin(2x).

Derivatives of Transcendental Functions

Function f(x) Derivative f'(x) Chain Rule Generalization
sin(x)cos(x)cos(u) · u'
cos(x)−sin(x)−sin(u) · u'
tan(x)sec²(x)sec²(u) · u'
eˣeˣeᵘ · u'
ln(x)1 / xu' / u

Higher-Order Derivatives & Concavity Analysis

Differentiating repeatedly produces higher-order derivatives with direct physical and geometric meanings:

1st Derivative f'(x) (Velocity & Extrema):

f'(x) = 0 identifies critical points. If f' changes from + to −, it is a local maximum; if − to +, a local minimum.

2nd Derivative f''(x) (Acceleration & Concavity):

f''(x) > 0 indicates concave upward (∪); f''(x) < 0 indicates concave downward (∩). f''(x) = 0 identifies inflection points.

Real-World Applications of Differential Calculus

Classical Physics & Kinematics

Position $s(t)$, velocity $v(t) = s'(t)$, acceleration $a(t) = s''(t)$, and jerk $j(t) = s'''(t)$ govern all Newtonian mechanics.

Economics & Marginal Analysis

Economists use marginal cost $MC(q) = C'(q)$ and marginal revenue $MR(q) = R'(q)$ to solve profit maximization where $MR = MC$.

AI & Neural Network Training

Modern deep learning backpropagation uses the multivariable chain rule to compute gradients $\nabla L$ across billions of transformer parameters.

Step-by-Step Worked Numerical Solutions

Example 1: Product Rule and Tangent Line Product Rule

Problem: Find the derivative and tangent line equation for f(x) = x² · eˣ at x₀ = 1.

1. Identify u = x² (u' = 2x) and v = eˣ (v' = eˣ).
2. Product Rule: f'(x) = u'v + uv' = 2x·eˣ + x²·eˣ = (x² + 2x)eˣ.
3. Evaluate at x₀ = 1: f(1) = 1²·e¹ = e ≈ 2.7183; f'(1) = (1 + 2)e = 3e ≈ 8.1548.
4. Tangent Line: y − e = 3e(x − 1) ==> y = (3e)x − 2e ≈ 8.15x − 5.44.
Result: f'(x) = (x² + 2x)eˣ, Tangent Line: y = 8.15x − 5.44

Common Pitfalls & Mistakes

Forgetting the Inner Chain Rule

The derivative of sin(3x) is 3cos(3x), NOT cos(3x). You must multiply by the inner derivative d/dx[3x] = 3.

Differentiating Products Term-by-Term

d/dx[u · v] is NOT u' · v'. You must use the product rule u'v + uv'.

Wrong Sign in Quotient Rule

The numerator is (u'v − uv'), not (uv' − u'v). Subtraction order matters strictly.

Fact-Checked & Verified • Computational Accuracy Standards
Updated August 2026 • Editorial Policy
Authored By
Sanjay Samanta

Lead Developer & Founder of Basic Math Tools. Specializes in browser-native computational algorithms and applied mathematics.

Reviewed & Verified By
Academic Review Board

Mathematics & curriculum specialists. Audited against standard algebraic and arithmetic principles.

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Frequently Asked Questions

What is the limit definition of a derivative in calculus?
The derivative represents the instantaneous rate of change of a function f(x) with respect to x, defined formally as the limit of the difference quotient: f'(x) = lim[h→0] (f(x + h) − f(x)) / h. Geometrically, it measures the slope of the tangent line to the curve at point x.
How does the Power Rule work for derivatives?
The power rule states that for any real power n, the derivative of xⁿ is d/dx[xⁿ] = n · xⁿ⁻¹. For example, d/dx[x⁴] = 4x³, and d/dx[√x] = d/dx[x^(1/2)] = ½x^(-1/2) = 1 / (2√x).
What is the Chain Rule and when do you use it?
The chain rule differentiates composite functions f(g(x)). It states that [f(g(x))]' = f'(g(x)) · g'(x) (differentiate the outer function evaluated at the inner function, then multiply by the derivative of the inner function).
How do you find the equation of a tangent line using derivatives?
To find the tangent line to y = f(x) at x = x₀: 1. Evaluate y₀ = f(x₀). 2. Find the derivative f'(x) and evaluate the slope m = f'(x₀). 3. Use point-slope form: y − y₀ = m(x − x₀) to write the linear equation y = mx + (y₀ − mx₀).
What information does the Second Derivative f''(x) provide?
The second derivative measures concavity (the rate of change of the slope). If f''(x) > 0, the graph is concave upward (∪ shape, local minimum). If f''(x) < 0, the graph is concave downward (∩ shape, local maximum). Points where f''(x) = 0 and changes sign are points of inflection.
How are derivatives used in machine learning and AI optimization?
In modern machine learning, gradient descent algorithms use partial derivatives (gradients) of a loss function with respect to neural network weights to iteratively minimize training error via backpropagation.