This paper proposes a solution to three fundamental problems across the fields of Physics, Mathematics, and Computer Science. In Physics, a primary challenge is the unification of quantum gravity—bridging the gap between the macroscopic (continuous) and microscopic (discrete) worlds. To address this, one must first reconcile the mathematical problem of infinity, specifically the Continuum Hypothesis. Since the human brain operates on a logarithmic scale, we lack the biological capacity to calculate infinity directly, requiring the use of computational machines. However, as input sizes increase, the space and time complexity of modern computers explode; solving these issues can take trillions of years even for the world's fastest supercomputers, a challenge known in Computer Science as NP-hard problems. I propose a unique, common solution that addresses all three problems by treating them as the same underlying issue presented in different contexts. This approach allows for these problems to be solved in linear time complexity, potentially offering a universal framework applicable to any complex problem in the world.
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Lalith Kanna (Tue,) studied this question.
synapsesocial.com/papers/69b25be596eeacc4fceca4c9 — DOI: https://doi.org/10.5281/zenodo.18932548
Lalith Kanna
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