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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)..?
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: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 L2 norm for complex valued vector is a mathematical concept used to measure the length or magnitude of a complex vector in a vector space. It is also known as the Euclidean norm and is calculated by taking the square root of the sum of the squared absolute values of the vector's components.
The L2 norm for complex valued vector is similar to the L2 norm for real valued vector in that they both measure the length or magnitude of a vector. However, the L2 norm for complex valued vector takes into account the imaginary components of the vector, while the L2 norm for real valued vector only considers the real components.
The L2 norm for complex valued vector is commonly used in scientific research, particularly in fields such as signal processing, machine learning, and complex analysis. It is used to measure the similarity between two complex vectors and is often used in optimization problems to minimize the error between a predicted and actual complex vector.
Yes, the L2 norm for complex valued vector can have a value of 0 if all the components of the vector are also equal to 0. This means that the vector has no magnitude and is considered a zero vector.
Yes, there are alternative ways to calculate the L2 norm for complex valued vector, such as using the dot product or inner product of the vector with itself. These alternative methods yield the same result as the traditional method of taking the square root of the sum of squared absolute values of the vector's components.