Is the Upside Down Triangle Squared the Laplace Operator or Gradient Squared?

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In summary, the gradient is a mathematical concept that represents the rate of change of a function and is calculated by taking the partial derivatives of a multi-variable function. It is important in many fields of science and engineering and can be negative, indicating a decrease in the function. The gradient is a generalization of the derivative for multi-variable functions and the derivative can be seen as a special case of the gradient.
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cragar
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Homework Statement


When i see the upside down triangle squared .
Is this the Gradient squared, or the second derivative of the x , y and z components
And this is the Laplace operator
 
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  • #2
It's the Laplace operator. It's not the gradient squared. It's the sum of the second derivatives.
 
  • #3
Dick said:
It's the Laplace operator. It's not the gradient squared. It's the sum of the second derivatives.

Ok thanks, so i take the second derivatives and then add them up .
 

Related to Is the Upside Down Triangle Squared the Laplace Operator or Gradient Squared?

What is the gradient?

The gradient is a mathematical concept that represents the rate of change of a function. It is a vector that points in the direction of the steepest ascent of the function at a particular point.

How is the gradient calculated?

The gradient is calculated by taking the partial derivatives of a multi-variable function with respect to each of its independent variables. This results in a vector with components that represent the slope of the function in each direction.

What is the significance of the gradient?

The gradient is important in many fields of science and engineering because it helps us understand the behavior of a function and make predictions about its values. It is also used in optimization problems to find the maximum or minimum value of a function.

Can the gradient be negative?

Yes, the gradient can be negative. This means that the function is decreasing in the direction of the gradient. The magnitude of the gradient represents the rate of decrease.

What is the relationship between the gradient and the derivative?

The gradient is a generalization of the derivative for multi-variable functions. The derivative represents the slope of a function in one direction, while the gradient represents the slope in all directions. The derivative can be seen as a special case of the gradient when there is only one independent variable.

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