Free online derivative calculator with steps. Solve derivatives symbolically using power, product, quotient, and chain rules. Evaluates slopes, tangent line equations, and higher-order derivatives with graphs.
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Master Table of Calculus Differentiation Rules
Calculus derivatives follow precise algebraic rules depending on the structural composition of the mathematical function:
• Constant Rule: d/dx [c] = 0
• Power Rule: d/dx [xⁿ] = n · xⁿ⁻¹
• Constant Multiple Rule: d/dx [c · f(x)] = c · f'(x)
• Sum / Difference Rule: d/dx [f(x) ± g(x)] = f'(x) ± g'(x)
• Product Rule: d/dx [u(x) · v(x)] = u'(x) · v(x) + u(x) · v'(x)
• Quotient Rule: d/dx [u(x) / v(x)] = [u'(x) · v(x) - u(x) · v'(x)] / [v(x)]²
• Chain Rule: d/dx [f(g(x))] = f'(g(x)) · g'(x)
• Natural Exponential Rule: d/dx [eˣ] = eˣ | General Base: d/dx [aˣ] = aˣ · ln(a)
• Natural Logarithmic Rule: d/dx [ln(x)] = 1/x | General Base: d/dx [log_a(x)] = 1 / [x · ln(a)]
• Trigonometric Derivatives: d/dx [sin(x)] = cos(x), d/dx [cos(x)] = -sin(x), d/dx [tan(x)] = sec²(x)
• Inverse Trig Derivatives: d/dx [arcsin(x)] = 1 / √(1 - x²), d/dx [arctan(x)] = 1 / (1 + x²)
Geometric & Physical Meaning of Derivatives
1. Slope of the Tangent Line: At any given point x = a, the value f'(a) represents the exact geometric gradient (slope m) of the straight line touching the curve without crossing it locally.
2. Instantaneous Rate of Change: In physics, if s(t) represents position over time, then the first derivative v(t) = s'(t) represents instantaneous velocity, and the second derivative a(t) = s''(t) represents instantaneous acceleration.
3. Finding Critical Points & Optimization: Setting f'(x) = 0 locates critical points where the function has horizontal tangents, serving as candidates for local maximums, local minimums, or saddle points.
Step-by-Step Worked Differentiation Examples
Example 1: Polynomial Function
Given f(x) = 3x⁴ - 5x² + 7x - 2
Step 1: Differentiate term by term using Power Rule.
• d/dx[3x⁴] = 3 · 4x³ = 12x³
• d/dx[-5x²] = -5 · 2x = -10x
• d/dx[7x] = 7 · 1 = 7
• d/dx[-2] = 0
Result: f'(x) = 12x³ - 10x + 7
Example 2: Product Rule
Given f(x) = x² · sin(x)
Let u = x² (u' = 2x) and v = sin(x) (v' = cos(x)).
Apply Product Rule: f'(x) = u'v + uv' = (2x) · sin(x) + x² · cos(x)
Result: f'(x) = 2x·sin(x) + x²·cos(x)
Example 3: Tangent Line Equation at a Point
Find the tangent line equation for f(x) = x² at x = 3:
1. Point of tangency: y₀ = f(3) = 3² = 9 -> (3, 9)
2. Derivative: f'(x) = 2x
3. Slope: m = f'(3) = 2(3) = 6
4. Tangent Line: y - 9 = 6(x - 3) => y = 6x - 18 + 9 => y = 6x - 9
First & Second Derivative Tests for Curve Sketching
Analyzing derivatives provides complete geometric insight into curve sketching:
• Increasing vs. Decreasing: If f'(x) > 0 on an interval, the function is strictly increasing. If f'(x) < 0, it is strictly decreasing.
• First Derivative Test: If f'(x) changes from positive to negative at critical value c, f(c) is a local maximum. If f'(x) changes from negative to positive, f(c) is a local minimum.
• Second Derivative Test: If f'(c) = 0 and f''(c) > 0, then f(c) is a relative minimum (concave up). If f'(c) = 0 and f''(c) < 0, then f(c) is a relative maximum (concave down).
• Points of Inflection: Occur where f''(x) = 0 (or is undefined) and the concavity strictly transitions between concave up and concave down.