Answer on Question # 41662 – Math – Vector Calculus
Find the direction in which the function f = x 2 − y 2 + 2 x y f = x^2 - y^2 + 2xy f = x 2 − y 2 + 2 x y decreases more rapidly at the point (1,1).
Solution.
Partial derivatives of the function: ∂ f ∂ x = 2 x + 2 y \frac{\partial f}{\partial x} = 2x + 2y ∂ x ∂ f = 2 x + 2 y , ∂ f ∂ y = − 2 y + 2 x \frac{\partial f}{\partial y} = -2y + 2x ∂ y ∂ f = − 2 y + 2 x .
The values of the partial derivatives of the function at the point A ( 1 ; 1 ) A(1;1) A ( 1 ; 1 ) :
∂ f ∂ x ∣ A = 2 + 2 = 4 , ∂ f ∂ y ∣ A = − 2 + 2 = 0. \left. \frac {\partial f}{\partial x} \right| _ {A} = 2 + 2 = 4, \quad \left. \frac {\partial f}{\partial y} \right| _ {A} = - 2 + 2 = 0. ∂ x ∂ f ∣ ∣ A = 2 + 2 = 4 , ∂ y ∂ f ∣ ∣ A = − 2 + 2 = 0.
The value of the gradient of the function in the direction of the unit vector n ⃗ ( n x ; n y ) \vec{n}(n_x; n_y) n ( n x ; n y ) at the point A ( 1 ; 1 ) A(1;1) A ( 1 ; 1 ) :
∂ f ∂ x ∣ A ⋅ n x + ∂ f ∂ y ∣ A ⋅ n y = 4 ⋅ n x + 0 ⋅ n y = 4 n x . \left. \frac {\partial f}{\partial x} \right| _ {A} \cdot n _ {x} + \left. \frac {\partial f}{\partial y} \right| _ {A} \cdot n _ {y} = 4 \cdot n _ {x} + 0 \cdot n _ {y} = 4 n _ {x}. ∂ x ∂ f ∣ ∣ A ⋅ n x + ∂ y ∂ f ∣ ∣ A ⋅ n y = 4 ⋅ n x + 0 ⋅ n y = 4 n x .
As n x 2 + n y 2 = 1 n_x^2 + n_y^2 = 1 n x 2 + n y 2 = 1 for a unit vector, then the minimal value of (1) reaches if n x = − 1 n_x = -1 n x = − 1 .
So, the function decreases more rapidly at the given point at the negative direction of X X X -axis.
Answer: in the direction of the vector ( − 1 ; 0 ) (-1;0) ( − 1 ; 0 ) .
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