No, not all global extrema are also local extrema of polynomial functions. A global extremum is a point where the function has the highest or lowest value over its entire domain, while a local extremum is a point where the function has the highest or lowest value in a specific neighborhood. A polynomial function can have global extrema that are not local extrema if the function continues to increase or decrease beyond the neighborhood of the extremum. **

Local extrema are the highest or lowest points within a specific interval or neighborhood of a function, while global extrema are the highest or lowest points of the entire function. In other words, local extrema are relative to a specific region of the function, while global extrema are absolute and apply to the entire function. Local extrema can occur at points where the derivative of the function is zero or undefined, while global extrema occur at the endpoints of the interval or at critical points within the interval. **

Global extrema occur at the highest or lowest points of a function over its entire domain. For a function to have a global maximum, the value of the function at that point must be greater than or equal to the value of the function at all other points in its domain. Similarly, for a function to have a global minimum, the value of the function at that point must be less than or equal to the value of the function at all other points in its domain. **

Local extrema are points on a function where the function reaches a maximum or minimum value within a small neighborhood of that point. Global extrema, on the other hand, are points where the function reaches the maximum or minimum value over the entire domain of the function. Local extrema can occur at points where the derivative of the function is zero, while global extrema can occur at endpoints of the domain or at points where the derivative is zero. **

Local extrema are the highest or lowest points within a specific interval or region of a function. They can be either a local maximum (the highest point in the interval) or a local minimum (the lowest point in the interval). Global extrema, on the other hand, are the absolute highest or lowest points of the entire function, not just within a specific interval. These points represent the overall maximum or minimum values of the function. **

Local extrema are determined by finding critical points where the derivative of the function is zero or undefined, and then using the first or second derivative test to determine if the critical point is a local maximum or minimum. Global extrema are found by comparing the values of the function at the critical points, endpoints of the interval, and any other relevant points within the interval. The highest value among these points is the global maximum, and the lowest value is the global minimum. **

Global extrema refer to the highest or lowest point of a function across its entire domain, while absolute extrema refer to the highest or lowest point of a function within a specific interval. Global extrema are the overall maximum or minimum values of a function, while absolute extrema are the maximum or minimum values within a specific range. In other words, global extrema are the highest or lowest points of a function in its entirety, while absolute extrema are the highest or lowest points within a restricted interval. **

Global extrema refer to the highest or lowest points of a function over its entire domain, while local extrema refer to the highest or lowest points within a specific interval or neighborhood. Global extrema are the absolute maximum or minimum values of a function, while local extrema are relative maximum or minimum values within a smaller range. In other words, global extrema are the overall highest or lowest points of a function, while local extrema are the highest or lowest points within a specific region. **