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The Gradient

Definition (Gradient) Let the gradient _gr_1.gif] be a differentiable function at the gradient _gr_2.gif] and let the gradient _gr_3.gif] have partial derivatives the gradient _gr_4.gif] and the gradient _gr_5.gif] Then the gradient of the gradient _gr_6.gif] is denoted by

the gradient _gr_7.gif]

The value of the gradient at the point the gradient _gr_8.gif] is denoted by

the gradient _gr_9.gif]

Proposition (Gradient) Let the gradient _gr_10.gif] and the gradient _gr_11.gif] be differentiable functions. Then

        (i) the gradient _gr_12.gif] for any constant the gradient _gr_13.gif]
        
        (ii) the gradient _gr_14.gif] for any constants the gradient _gr_15.gif] and the gradient _gr_16.gif]
        
        (iii) the gradient _gr_17.gif]
        
        (iv)   the gradient _gr_18.gif] provided the gradient _gr_19.gif]
        
        (v) the gradient _gr_20.gif]
        
        
    Proof. The Constant Rule is proved as follows:

the gradient _gr_21.gif]  

The Linearity Rule is proved as follows:

the gradient _gr_22.gif]

the gradient _gr_23.gif]

the gradient _gr_24.gif]

The Product Rule is proved as follows:

the gradient _gr_25.gif]

the gradient _gr_26.gif]

the gradient _gr_27.gif]

the gradient _gr_28.gif]

the gradient _gr_29.gif]

The Quotient Rule is proved as follows:

the gradient _gr_30.gif]

the gradient _gr_31.gif]

the gradient _gr_32.gif]

the gradient _gr_33.gif]

the gradient _gr_34.gif]

The Power Rule is proved as follows:

the gradient _gr_35.gif]

the gradient _gr_36.gif]

the gradient _gr_37.gif]

the gradient _gr_38.gif]
the gradient _gr_39.gif]

Example (Gradient) Find the gradient of the function, the gradient _gr_40.gif]

    Solution. If the gradient _gr_41.gif] then

the gradient _gr_42.gif]

and the gradient _gr_43.gif] the gradient _gr_44.gif]

the gradient _gr_45.gif] Recommended Reading
the gradient _gr_46.gif]functions of several variables
the gradient _gr_47.gif]graphs of functions
the gradient _gr_48.gif]polynomial functions
the gradient _gr_49.gif]rational functions
the gradient _gr_50.gif]level curves
the gradient _gr_51.gif]level surfaces
the gradient _gr_52.gif]limits of multivariate functions
the gradient _gr_53.gif]continuity of multivariate functions
the gradient _gr_54.gif]partial derivatives
the gradient _gr_55.gif]higher order partial derivatives
the gradient _gr_56.gif]tangent planes
the gradient _gr_57.gif]total differential
the gradient _gr_58.gif]linear approximation with multivariate functions
the gradient _gr_59.gif]differentiability
the gradient _gr_60.gif]chain rule with one independent parameter
the gradient _gr_61.gif]chain rule with two independent parameters
the gradient _gr_62.gif]chain rule with several independent parameters
the gradient _gr_63.gif]directional derivatives
the gradient _gr_64.gif]the gradient
the gradient _gr_65.gif]the gradient and directional derivatives
the gradient _gr_66.gif]steepest ascent and steepest descent
the gradient _gr_67.gif]normal property of the gradient
the gradient _gr_68.gif]tangent planes and normal lines
the gradient _gr_69.gif]relative extrema
the gradient _gr_70.gif]critical points
the gradient _gr_71.gif]second partials test
the gradient _gr_72.gif]absolute extrema
the gradient _gr_73.gif]lagrange multipliers with one parameter
the gradient _gr_74.gif]lagrange multipliers with two parameters

the gradient _gr_75.gif] Recommended Math Books
the gradient _gr_76.gif] Thomas' Calculus, Early Transcendentals, Media Upgrade (11th Edition)
the gradient _gr_77.gif] Thomas' Calculus, Media Upgrade (11th Edition)
the gradient _gr_78.gif] Thomas' Calculus Early Transcendentals; Student's Solutions Manual; Part One
the gradient _gr_79.gif] Calculus (With Analytic Geometry)(8th edition)
the gradient _gr_80.gif] Calculus (Stewart's Calculus Series)
the gradient _gr_81.gif] Applied Calculus
the gradient _gr_82.gif] Calculus Textbooks
the gradient _gr_83.gif] Elementary Calculus
the gradient _gr_84.gif] Advanced Calculus
the gradient _gr_85.gif] Supplementary Resources

the gradient _gr_86.gif] Recommended Math Gifts
the gradient _gr_87.gif] Math Happy
the gradient _gr_88.gif] Calculus Happy
the gradient _gr_89.gif] Homework Happy
the gradient _gr_90.gif] Limits Happy
the gradient _gr_91.gif] I Love Math
the gradient _gr_92.gif] I Love Calculus
the gradient _gr_93.gif] I Love Homework
the gradient _gr_94.gif] I Love Multivariate Calculus
the gradient _gr_95.gif] I Love Limits

Cite this as:
The Gradient
Published by Library of Math -- Online math organized by subject into topics.
Written by Smith, David A.
http://www.libraryofmath.com/the-gradient.html
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