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There really aren't too many inequalities involving complex numbers. The reason for this is that we don't even have a basic 'ordering' for complex numbers. As a result, almost all inequalities involving complex numbers will actually be inequalities involving the magnitudes. In this post, we will discuss the "trivial" inequalities, the triangle inequalities and applications, and a bit more. We'll start from very basic inequalities, but hopefully the reader has the patience to continue.

In the following, ℜ(z),ℑ(z)\Re (z), \Im (z) will denote the real and imaginary parts of a complex number, such that z=ℜ(z)+ℑ(z)iz = \Re (z) + \Im (z) i. Recall that for any complex number zz, we have z⋅zˉ=∣z∣2=ℜ(z)2+ℑ(z)2z \cdot \bar{z} = |z|^2 = \Re (z)^2 + \Im (z)^2

What does zˉ\bar{z} mean again?

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Although very simple, the triangle inequality can sometimes be very useful when working with vectors. It states

If xx and yy are vectors in Rn\mathbb{R}^n, then ∣x+y∣≤∣x∣+∣y∣.|x + y| \le |x| + |y|.

This can be proven by noting that ∣x+y∣2=(x+y)⋅(x+y)|x + y|^2 = (x+y)\cdot (x+y). Expanding the right side gives ∣x+y∣2=∣x∣2+2x⋅y+∣y∣2.|x+y|^2 = |x|^2 + 2x\cdot y + |y|^2. Now we use a very important inequality which states that x⋅y≤∣x∣∣y∣x\cdot y \le |x||y|, also known as the Cauchy Schwarz Inequality. This is pretty obvious when you use the geometric definition of a dot product. We now have ∣x+y∣2≤(∣x∣+∣y∣)2  ⟹  ∣x+y∣≤∣x∣+∣y∣.|x + y|^2 \le (|x| + |y|)^2 \implies |x+y|\le |x| + |y|.

Type a concept, like “slope” or “photosynthesis”.

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