Question about grad, nabla (vector operator)

In summary, the conversation discusses the difference between grad F on a path and on an equation. While grad F on a path gives a vector tangent to the path, grad F on an equation gives a normal to a contour satisfying the equation. The gradient also indicates the direction in which F increases, with grad F on a path showing the direction of the path and grad F on an equation showing the direction of the contour.
  • #1
aero&astro
20
0
In my notes it says that grad F will give you a vector normal to the contour. Howver I thought grad F would give you a vector tangent because the path is aligned with the vector field. Is it different when talking about contours and paths?

If you find grad F of a function F does that give you a vector tangent or normal to the contour/path?
 
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  • #2
Hi aero&astro! :smile:

Yep.
grad F on a path will give you a vector tangent to the path.
grad F on an equation will give you a normal to a contour satisfying the equation.

Actually, the gradient gives you the vector in which F increases.
A path "increases" in the direction of the path.
The equation-value of a contour increases perpendicular to the contour.

Consider for instance y=x2.
Its path is given by f(x) = x2 and its contour-equation is F(x,y) = x2 - y = 0.

grad f(x) =2x, which gives you the direction f(x) increases with increasing x.
grad F(x,y)= (2x, -1), which gives you the direction F(x,y) increases with changing (x,y).

In the first case you "walk the path".
In the second case you move to a higher level contour given by F(x,y)=c.
 
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What is the definition of grad, nabla (vector operator)?

Grad, nabla (vector operator) is a mathematical operator that represents the gradient of a scalar field in three-dimensional Cartesian coordinates. It is commonly used in vector calculus to calculate the rate and direction of change of a scalar quantity.

How is grad, nabla (vector operator) represented mathematically?

In Cartesian coordinates, grad, nabla (vector operator) is represented as ∇ = (∂/∂x)i + (∂/∂y)j + (∂/∂z)k, where i, j, and k represent the unit vectors in the x, y, and z directions respectively.

What is the physical significance of grad, nabla (vector operator)?

The physical significance of grad, nabla (vector operator) is that it represents the direction and magnitude of the steepest ascent of a scalar field. It is also used to calculate the direction of maximum change of a scalar quantity.

How is grad, nabla (vector operator) used in vector calculus?

In vector calculus, grad, nabla (vector operator) is used to calculate the directional derivative of a scalar field. It is also used to solve equations involving vector differential operators, such as the Laplace and Poisson equations.

Are there any applications of grad, nabla (vector operator) in real-world problems?

Yes, grad, nabla (vector operator) has many applications in various fields such as physics, engineering, and economics. It is used to analyze and solve problems involving fluid flow, heat transfer, electromagnetism, and optimization. It is also used in machine learning algorithms to optimize functions and solve regression problems.

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