L2 norm for complex valued vector

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SUMMARY

The L2 norm for a complex-valued vector, such as (4+2i, 1-i), is calculated using the formula ||v||_2 = sqrt(v^* v), where v^* represents the conjugate transpose of the vector. In this case, the conjugate transpose is v^* = (4-2i, 1+i). The computation of v^* v results in the expression (4-2i)(4+2i) + (1+i)(1-i), which simplifies to 16 + 4 + 1 + 1. Thus, the L2 norm is ||v||_2 = sqrt(22).

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  • Understanding of complex numbers and their operations
  • Knowledge of vector algebra
  • Familiarity with the concept of conjugate transpose
  • Basic understanding of norms in linear algebra
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  • Study the properties of complex vectors in linear algebra
  • Learn about different types of norms, including L1 and L∞ norms
  • Explore applications of L2 norms in machine learning and data science
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Mathematicians, data scientists, engineers, and students studying linear algebra or complex analysis will benefit from this discussion on calculating the L2 norm for complex-valued vectors.

ericm1234
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Let's say I have a vector (4+2i, 1-i), how do I take an L2 norm?
Dont tell me I simply do sqrt(16+4+1+1)..?
 
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ericm1234 said:
Let's say I have a vector (4+2i, 1-i), how do I take an L2 norm?
Dont tell me I simply do sqrt(16+4+1+1)..?
The short answer is yes, you simply do sqrt(16+4+1+1). Here is why:

The L2 norm of a vector v is \sqrt{v^* v}, where v^* is the conjugate transpose. In your case,
$$v = \left[\begin{matrix} 4 + 2i \\ 1 - i \end{matrix}\right]$$
so
$$v^* = \left[\begin{matrix} 4 - 2i & 1 + i \end{matrix}\right]$$
and
$$v^* v = \left[\begin{matrix} 4 - 2i & 1 + i \end{matrix}\right] \left[\begin{matrix} 4 + 2i \\ 1 - i \end{matrix}\right] = (4-2i)(4+2i) + (1+i)(1-i) = 16 + 4 + 1 + 1$$
and therefore
$$||v||_2 = \sqrt{v^H v} = \sqrt{16 + 4 + 1 + 1}$$
 
Last edited:

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