MindMap Gallery Differential calculus of multivariate functions
Mind map of differential calculus of multivariate functions: including basic concepts (the limit of multivariate functions, the relationship between continuity, continuity, partial derivatives and differentiability of multivariate functions,) differential method of multivariate functions, extreme values and maximum values of multivariate functions, etc. wait
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This is a mind map about bacteria, and its main contents include: overview, morphology, types, structure, reproduction, distribution, application, and expansion. The summary is comprehensive and meticulous, suitable as review materials.
This is a mind map about plant asexual reproduction, and its main contents include: concept, spore reproduction, vegetative reproduction, tissue culture, and buds. The summary is comprehensive and meticulous, suitable as review materials.
This is a mind map about the reproductive development of animals, and its main contents include: insects, frogs, birds, sexual reproduction, and asexual reproduction. The summary is comprehensive and meticulous, suitable as review materials.
Differential calculus of multivariate functions
basic concept
Limits of multivariate functions
Multivariate function continuity
definition
nature
Multivariate continuous functions and difference product quotients are still continuous functions
The composite function of a multivariate function is a continuous function
A multivariate function is continuous within its defined region
Maximum value theorem: A continuous function on a bounded closed region D must be able to obtain the maximum and minimum values in the region D.
Intermediate value theorem: A continuous function on a bounded closed region D must be able to obtain any value between the maximum value and the minimum value in the region D.
Partial derivative
definition
Partial derivatives are essentially derivatives of functions of one variable
Geometric meaning
Higher order partial derivatives
Total differential
definition
Necessary conditions for the existence of total differentials
Sufficient conditions for the existence of total differentials
The relationship between continuous, deflectable and differentiable
Differentiation of multivariate functions
Differentiation of composite functions
theorem
Invariance of total differential form
Implicit Function Differentiation Method
Extreme values and maximum values of multivariate functions
Unconstrained extreme value
definition
Necessary conditions for extreme values
Sufficient conditions for extreme values
General steps for finding the extreme value of a binary function with second-order continuous partial derivatives
conditional extreme value
Lagrange multiplier method
maximum value minimum value
Maximum and Minimum Values of Continuous Functions on Bounded Closed Regions (Trilogy)
Find the possible extreme points of the function inside the region D
Find the maximum and minimum values of the function on the boundary of D
Compare
Application questions
To establish the objective function, follow the above three steps
Differential calculus of multivariate functions test points and problem solving methods
heavy limit
The same way to find the limit as a function of one variable
infinite form of 1
Equivalent infinitesimal substitution
Absolute value clamping
Continuity, partial derivatives and total differentials
Determine whether it is continuous
Continuous in any direction
Find the partial derivative
tangible function
Definition
Find the method first and then (for point coordinates)
Heavy limit - finding differentials
concrete function method
subtopic
Partial derivatives and total differentials of composite functions
Find the partial derivative
Tangible function/tangible and intangible composite
with point coordinates
Commonly used derivation methods
Seek the law first
Without point coordinates
Commonly used derivation methods
find expression
Combined with differential equations
Find the differential
total differential form invariance
Partial derivatives and total differentials of implicit functions
Find differential/partial derivative
Differentiate/derivative directly on both ends
formula method
Total Differential Form Invariant Transformation
Seek first and seek later