Continuity of the Value, Gradient and Hessian Maps of a Differentiable Function
lemmaAnalysisMultivariable Calculuslem:test-data-continuous-2026aFor a function of class the gradient map is continuous, and for a function of class both the gradient map into and the Hessian map into the symmetric matrices with their norm distance are continuous.
Throughout we work in the setting of Second-Order Equations on Euclidean Open Sets, whose notation, including that of Real Matrices, Symmetric Matrices and the Semidefinite Ordering: Standing Notation and Differential Calculus and Convexity on Euclidean Open Sets: Standing Notation on which it rests, is in force in a dimension , a natural number with .
Let be open. Subsets of are regarded as subsets of the metric space , the real line is regarded as the metric space with the metric of The Absolute Value Metric on the Real Line, and carries the metric of clause Second-Order Equations on Euclidean Open Sets §matrices; continuity relative to is understood with respect to these metrics. For a function all of whose partial derivatives exist at every point of , denotes the gradient of at , whose th coordinate is .
Then the following hold.
1. (The value map)¶ Let be a natural number with and let be of class on . Then is continuous at every point of relative to , as a map into .
2. (The gradient map of a function of class )¶ Let be of class on . Then the map whose value at is is continuous at every point of relative to , as a map into .
3. (The gradient and Hessian maps of a function of class )¶ Let be of class on . Then the map whose value at is is continuous at every point of relative to , and the map whose value at is the Hessian matrix is continuous at every point of relative to , as a map into .
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