How to go from limit of vector norm to 'normal' limit

In summary, the conversation discusses a function that is differentiable at a point and a limit involving vectors. The result shows that the limit is linear in the norm of the vector and that the norm of a vector can only go to 0 if the vector itself goes to 0. This is true because the definition of vector convergence states that the norm of the difference between two vectors must converge to 0 in order for the vectors themselves to converge.
  • #1
Berrius
19
0
This is not really a homework question, but I've come across this while preparing for a test

Homework Statement


Let [tex]f:U \subseteq R^n -> R^m[/tex] be a function which is differentiable at [tex]a \in U[/tex], and [tex]u \in R^n[/tex]
It is then stated that it is clear that:
[tex] lim_{t \to 0} \frac{||f(a+t*u)-f(a)-D_f(t*u)||}{||t*u||} = 0 => lim_{t \to 0} \frac{f(a+t*u)-f(a)-D_f(t*u)}{|t|} = 0[/tex]

How do they get this result?

The Attempt at a Solution


I've tried using the epsilon/delta-def of limits but where the first limit is about real numbers, the second is about vectors in the R^m, so I am totally confused.
 
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  • #2
Denominator: ##||t \cdot u|| = |t| \cdot ||u||## and the limit is linear in ##||u||##.
Numerator: The norm of a vector can go to 0 if and only if the vector itself goes to 0.
 
  • #3
I know ofcourse ||v||=0 iff v=0, but why is this still true when i put a limit in front of it?
 
  • #4
You can show it for each component in some basis, for example. They all go to 0.
 
  • #5
It is the definition that vector v converges to vector w if the norm of their difference converges to 0.
 

1. How do you define the limit of a vector norm?

The limit of a vector norm is defined as the maximum possible length of a vector in a given direction. It represents the maximum value that a vector can have in a specific direction.

2. What is the difference between the limit of a vector norm and a 'normal' limit?

The limit of a vector norm is a specific type of limit that applies to vectors, while a 'normal' limit refers to the general concept of a limit in mathematics. The limit of a vector norm is used to determine the maximum value of a vector in a given direction, while a 'normal' limit applies to functions and represents the value that a function approaches as its input approaches a specific value.

3. How can you calculate the limit of a vector norm?

The limit of a vector norm can be calculated by taking the magnitude of the vector, which is the square root of the sum of the squares of its components. This magnitude represents the maximum possible length of the vector in any direction, and therefore, is the limit of the vector norm.

4. What is the significance of the limit of a vector norm in scientific research?

The limit of a vector norm is an important concept in scientific research, particularly in fields such as physics and engineering. It allows scientists to determine the maximum possible value of a vector in a given direction, which can be useful in predicting the behavior of physical systems and designing structures that can withstand maximum stress and forces.

5. Are there any real-world applications of the limit of a vector norm?

Yes, the limit of a vector norm has many real-world applications in fields such as physics, engineering, and computer science. For example, it is used in calculating the maximum speed of an object under certain conditions, determining the maximum load a bridge can withstand, and optimizing algorithms for machine learning and data analysis.

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