MindMap Gallery Differentials and Derivatives
This is a mind map about differentials and derivatives, including the concepts of differentials and derivatives, their applications, etc. Hope it helps!
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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.
Differentials and Derivatives
Concepts of Differentiation and Derivatives
differential
Concept: dy=Ax Δx(Δx→0)
Geometric meaning: Let Δx be the increment of point M on the curve y = f(x) on the abscissa, Δy be the increment of the curve on the ordinate corresponding to Δx at point M, and dy be the tangent line of the curve at point M. Corresponds to the increment of Δx on the ordinate.
differential formula
Derivative
Definition: Suppose the function y=f(x) is defined in a certain neighborhood of point x0. When the independent variable x has an increment Δx at x0 and (x0 Δx) is also in this neighborhood, the corresponding function obtains an increment. Δy=f(x0 Δx)-f(x0); if the ratio of Δy to Δx, the limit exists when Δx→0, then the function y=f(x) is said to be differentiable at point x0. Not all functions have derivatives, and a function does not necessarily have derivatives at all points.
Geometric meaning: the slope of the tangent line passing through the tangent point of the curve.
Operation rules: including four arithmetic operations, derivation of composite functions and derivation of implicit functions
Derivative formula
higher order derivatives
Derivatives of functions determined by implicit functions and parametric equations
Implicit function
Directly derive the derivatives of both sides simultaneously
Logarithmic derivation rule
parametric equations
The first-order derivatives x and y are derived with respect to t respectively.
The second derivative takes the first derivative as the new y
Derivative applications
Monotonicity (first derivative reaction)
Stationary point: point where the derivative is 0
Inflection point: the point where the second derivative is 0
extremum
Concave-convexity (second-order reaction)
Function image
Differentiable, Differentiable, Continuous Relationships
Continuous may not be differentiable
Derivative must be continuous
Differentiable must be conductive
Applications of Differentiation and Derivatives
Application examples of differentials and derivatives
The linear principal part of a solvable function
Special points about solvable functions
Characteristics of graphs that can be roughly judged about functions
Ability to create function graphs more accurately
Can solve speed and acceleration in physics, etc.
Able to prove some theorems, rules, etc.
Can solve some optimization problems in life, find the optimal value, etc.
Application Skills of Differentiation and Derivatives
Utilize the relationship between differentiability, derivability, and continuity
Proficient in derivation operations of higher-order derivatives
Use the intermediate value theorem, the maximum value theorem, etc. to perform relevant proofs
Utilizing the characteristics of function monotonicity and concavity