Quantum Cognition and Quantum Brain Dynamics: Modeling Room-Temperature Coherence in Neural and Retinal Systems

Abstract Macroscopic biological entities, such as the retina and the human brain, as well as the whole organism, are required to be continuously coherent at room temperature, which is a huge challenge for modern quantum mechanics. Biological tissue is warm, wet and noisy, and this is theoretically expected to result in rapid decoherence, but growing paradigms in quantum cognition and quantum biology indicate that the neural systems somehow avoid immediate collapse induced by environment. One of the unsolved problems in this area is the exact mechanism of how cellular structures are able to remain decoherence-free and support potentially functional quantum states. The aim of this paper is to answer this salient research gap by proposing a theoretical framework for modelling the phenomenon of quantum entanglement and non locality in the brain cell microtubules and retina photoreceptors. Combining the elements of the resource theory of quantum coherence and open quantum dynamics, we propo...

Subgroup Verification in Complex Numbers

Subgroup Verification in Complex Numbers

Subgroup Verification in Complex Numbers

Testing subgroup properties of H = {a + bi ∈ ℂ ∣ ab ≥ 0}

Mathematical Solution

Define H = {a + bi ∈ ℂ ∣ a, b ∈ ℝ, ab ≥ 0}. That is, the real and imaginary parts must have the same sign (or one of them is zero).

1. Identity

The additive identity in ℂ is 0 + 0i. Since 0·0 = 0 ≥ 0, we have 0 ∈ H. ✅

2. Closure

Take z₁ = 2 + i and z₂ = −1 − 2i. Both satisfy ab ≥ 0. Their sum is 1 − i, and 1×(−1) = −1 < 0. Hence 1 − i ∉ H. ❌ Closure fails.

3. Inverse

For z = a + bi ∈ H, we have ab ≥ 0. Its inverse is −z = −a − bi. Then (−a)(−b) = ab ≥ 0, so −z ∈ H. ✅

Conclusion

  • ✔ Identity exists
  • ✔ Inverses exist
  • ✘ Closure fails

Therefore, H is not a subgroup of (ℂ, +).

Python Verification

A Python program can test many examples to provide evidence or find counterexamples. It cannot prove for all real numbers, but it can demonstrate closure failure.


def in_H(z):
    """Check whether z = a + bi belongs to H."""
    a = z.real
    b = z.imag
    return a * b >= 0

# Counterexample
z1 = complex(2, 1)      # 2 + i
z2 = complex(-1, -2)    # -1 - 2i

print("z1 =", z1, "in H?", in_H(z1))
print("z2 =", z2, "in H?", in_H(z2))

z3 = z1 + z2
print("Sum =", z3, "in H?", in_H(z3))

if not in_H(z3):
    print("Closure fails.")
    

Output


z1 = (2+1j) in H? True
z2 = (-1-2j) in H? True
Sum = (1-1j) in H? False
Closure fails.
    

Extended Program

The following program checks identity, inverses, and closure systematically:


def in_H(z):
    return z.real * z.imag >= 0

identity = complex(0, 0)
print("Identity in H:", in_H(identity))

samples = [complex(2, 1), complex(-3, -2), complex(0, 5), complex(4, 0)]
print("\nInverse Test")
for z in samples:
    print(f"{z} -> {-z} : {in_H(-z)}")

print("\nClosure Counterexample")
z1 = complex(2, 1)
z2 = complex(-1, -2)
print("z1 =", z1, "in H?", in_H(z1))
print("z2 =", z2, "in H?", in_H(z2))
print("Sum =", z1 + z2, "in H?", in_H(z1 + z2))
    

Try It Yourself

You can copy this code and run it online using SageMathCell.

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