How Do You Draw and Calculate Unit Vectors for Gradients?

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SUMMARY

The discussion focuses on calculating and visualizing the gradient of the function h(x,y) = x²y at the point (1,3). The gradient, calculated as ∇h = (6, 1), indicates the direction of steepest ascent. To walk downhill at a 45-degree angle, the user needs to derive a unit vector that satisfies the condition of having a tangent of -1. This involves solving the equations derived from the dot product of the unit vector and the gradient.

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  • Understanding of gradient vectors in multivariable calculus
  • Familiarity with unit vector calculations
  • Knowledge of vector dot products
  • Basic concepts of directional derivatives
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  • Study the properties of gradient vectors in multivariable calculus
  • Learn how to calculate unit vectors from given vectors
  • Explore the concept of directional derivatives and their applications
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Students and professionals in mathematics, physics, and engineering who are working with vector calculus, particularly in applications involving gradients and directional movement in fields.

hexa
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Does someone want to think along with me?

field h(x,y) = x^2 y

calculate gradient for this field and draw it for point (1,3):

calculate this point: nabla h = (2xy, x^2) = (2*1*3, 1) = (6, 1)

But how do I draw this into the field of x^2y? I know I have to draw a vector. Would this vector go from the middle towards (6, 1)?

Then: Imagine you walk in this field in the point (1,3) and you want to walk downhill at an angle of 45 degrees. Calculate the unit vector (is that the correct term?) that shows which direction to walk.

I know how to calculate the unit vector, but how do I put the 45 degrees into this?

Thanks a lot,
Hexa
 
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At the point (1,3) the value of grad h is (6,1). So the direction of the "arrow" will be along the vector 6 i + j

How is gradients precalculus?
 
And the tail of the vector should be at the given point (1, 3).

As for the second problem: "downward at an angle of 45 degrees" means that the tangent is -1. If v is a unit vector, the derivative at (x,y) in the direction of v is v dot grad f(x,y). You've already calculated that the gradient of f at (1,3) is 6i+ j. Now you need to find a unit vector v[\b]= ui+vj so that v dot 6i+j= 6u+ v= -1. That gives you two equations for u and v.
 

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