Computing tangent spaces of implicitly defined manifolds

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SUMMARY

The discussion focuses on methods to compute the tangent space at a specific point on an implicitly defined manifold, characterized by the equation f(x) = c, where x belongs to R^k and c to R^m. Participants highlight the use of the Jacobian matrix for explicit parametrization and the normal vector when c is a real number. A key insight is that the gradient of the function f is perpendicular to the tangent space, leading to the equation grad f(x) · v = 0, which is essential for finding the tangent vector.

PREREQUISITES
  • Understanding of implicit manifolds and their definitions
  • Familiarity with Jacobian matrices in multivariable calculus
  • Knowledge of gradient vectors and their geometric interpretations
  • Basic concepts of differential geometry
NEXT STEPS
  • Study implicit differentiation techniques in multivariable calculus
  • Explore the application of Jacobian matrices in tangent space calculations
  • Learn about the geometric properties of gradients in differential geometry
  • Investigate advanced topics in manifold theory and their applications
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Mathematicians, physicists, and students studying differential geometry or multivariable calculus, particularly those interested in the properties of implicitly defined manifolds.

sin123
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Hi there,

Is there an "easy" way to find a tangent space at a specific point to an implicitly defined manifold? I am thinking of a manifold defined by all points x in R^k satisfying f(x) = c for some c in R^m. Sometimes I can find an explicit parametrization and compute the Jacobian matrix, sometimes I can compute the normal vector to the manifold (when c is just a real number), but that's where I am running out of ideas. I am hoping that there might be some sort of implicit differentiation trick that I have not figured out yet.
 
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sin123 said:
Hi there,

Is there an "easy" way to find a tangent space at a specific point to an implicitly defined manifold? I am thinking of a manifold defined by all points x in R^k satisfying f(x) = c for some c in R^m. Sometimes I can find an explicit parametrization and compute the Jacobian matrix, sometimes I can compute the normal vector to the manifold (when c is just a real number), but that's where I am running out of ideas. I am hoping that there might be some sort of implicit differentiation trick that I have not figured out yet.

i am not sure if I am telling you something that you already know but the gradient of f is perpendicular to the tangent space of f(x) = c. So the equation for it is gradf(x).v = 0
 

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