Why is strong duality holds even though the problem is not convex?

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I write the question $5.29$ in Convex Optimization ,and it said

minimize $-3x_1^2+x_2^2+2x_3^2+2(x_1+x_2+x_3)$

subject to $x_1^2+x_2^2+x_3^2=1$

so strong duality holds even though the problem is not convex

I wonder that if we have to prove it is strong duality and not convex,how should we prove it?