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Calculus II: Vector Calculus and Multivariable Analysis / Multivariable Differential Calculus

Partial Derivatives: Computation, Higher Partials, and Schwarz's Theorem

Every pricing model differentiates one variable at a time. The Black-Scholes delta Δ=∂V/∂S\Delta = \partial V/\partial S is the derivative of the option price with respect to the underlying price, holding strike, rate, volatility, and time fixed. The gamma Γ=∂2V/∂S2\Gamma = \partial^2 V/\partial S^2 is the second partial derivative. Vega is ∂V/∂σ\partial V/\partial \sigma, theta ∂V/∂T\partial V/\partial T, rho ∂V/∂r\partial V/\partial r — the entire Greek alphabet is a table of partial derivatives. The central result of this lesson is Schwarz's theorem: the order of mixed partials is irrelevant when both are continuous, so ∂2V/∂S ∂σ=∂2V/∂σ ∂S\partial^2 V/\partial S\,\partial\sigma = \partial^2 V/\partial\sigma\,\partial S — cross-Greeks commute.
Learning objectives. By the end of this note you should be able to:
  • define ∂f/∂x\partial f/\partial x and ∂f/∂y\partial f/\partial y via the limit definition and compute them by treating the other variable as a constant;
  • compute higher-order partial derivatives fxxf_{xx}, fxyf_{xy}, fyyf_{yy}, fyyyf_{yyy}, etc.;
  • state and apply Schwarz's theorem (fxy=fyxf_{xy} = f_{yx} when both are continuous);
  • interpret the partial derivative as the slope of a slice of the surface z=f(x,y)z = f(x,y).

In this lesson

    1. Partial Derivatives
    1. Partial Derivatives of Functions of Three Variables
    1. Higher-Order Partial Derivatives
    1. The Laplacian

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